From 738d41f11944133f60e955ae52ba71efcc95880b Mon Sep 17 00:00:00 2001 From: Walter Date: Sat, 28 Jun 2025 21:25:53 +0800 Subject: [PATCH 01/42] 0628 --- docs/administration/operation.md | 2 +- .../install-tapdata-ha-with-3-node.md | 2 +- .../production-deploy/install-tapdata-ha.md | 2 +- .../troubleshooting/error-and-solutions.md | 4 +- .../full-breakpoint-resumption.md | 2 +- .../best-practice/handle-schema-changes.md | 2 +- .../best-practice/heart-beat-task.md | 6 +- .../best-practice/raw-logs-solution.md | 4 +- .../pipeline-tutorial/excel-to-mysql.md | 4 +- .../pipeline-tutorial/extract-array.md | 2 +- .../mysql-bi-directional-sync.md | 2 +- .../pipeline-tutorial/mysql-to-aliyun.md | 4 +- .../pipeline-tutorial/mysql-to-bigquery.md | 4 +- .../pipeline-tutorial/mysql-to-clickhouse.md | 4 +- .../pipeline-tutorial/mysql-to-oracle.md | 4 +- .../pipeline-tutorial/mysql-to-redis.md | 4 +- .../pipeline-tutorial/oracle-to-kafka.md | 4 +- .../pipeline-tutorial/oracle-to-tablestore.md | 4 +- 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.../etl-mode/etl-mode-dashboard.md | 2 +- .../user-guide/trouble-shooting-connection.md | 12 +- docs/user-guide/workshop.md | 6 +- docs/what-is-tapdata.md | 6 +- sidebars.js | 262 ++++++++--------- 175 files changed, 670 insertions(+), 406 deletions(-) create mode 100644 docs/connectors/README.md rename docs/{prerequisites => connectors}/allow-access-network.md (100%) rename docs/{prerequisites => connectors}/cloud-databases/README.md (100%) rename docs/{prerequisites => connectors}/cloud-databases/aliyun-adb-mysql.md (100%) rename docs/{prerequisites => connectors}/cloud-databases/aliyun-adb-postgresql.md (100%) rename docs/{prerequisites => connectors}/cloud-databases/aliyun-mongodb.md (100%) rename docs/{prerequisites => connectors}/cloud-databases/aliyun-rds-for-mariadb.md (100%) rename docs/{prerequisites => connectors}/cloud-databases/aliyun-rds-for-mongodb.md (100%) rename docs/{prerequisites => connectors}/cloud-databases/aliyun-rds-for-mysql.md (100%) rename 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getting-started/install-and-setup/install-enterprise-edition}/install-on-windows.md (90%) rename docs/{installation/install-tapdata-enterprise => getting-started/install-and-setup/install-enterprise-edition}/install-tapdata-stand-alone.md (89%) rename docs/{quick-start => getting-started}/install.md (84%) create mode 100644 docs/getting-started/publish-imv-as-api.md delete mode 100644 docs/installation/README.md delete mode 100644 docs/prerequisites/README.md delete mode 100644 docs/quick-start/connect-database.md diff --git a/docs/administration/operation.md b/docs/administration/operation.md index 8cbd5830..84b79c69 100644 --- a/docs/administration/operation.md +++ b/docs/administration/operation.md @@ -366,7 +366,7 @@ By closely reviewing system high-risk operations, timely identification and resp Common high-risk operations include: -* [Connection Management](../prerequisites/README.md) +* [Connection Management](../connectors/README.md) * **Deleting data source connections**: To avoid accidental deletion, when performing a deletion operation, a prompt will appear if the connection is referenced by a task. * **Editing data source connections**: If the parameters of the data source are set incorrectly, it may cause the connection to fail. Tasks referencing this data source will use the previous parameters and will not be affected, but new tasks or tasks reset afterwards may trigger errors. * [Data Replication](../user-guide/copy-data/create-task.md)/[Data Transformation](../user-guide/data-development/create-task.md) Tasks diff --git a/docs/administration/production-deploy/install-tapdata-ha-with-3-node.md b/docs/administration/production-deploy/install-tapdata-ha-with-3-node.md index 5b0db42e..6b58221e 100644 --- a/docs/administration/production-deploy/install-tapdata-ha-with-3-node.md +++ b/docs/administration/production-deploy/install-tapdata-ha-with-3-node.md @@ -190,4 +190,4 @@ Upon successful login, you can view the status of the TapData services on all th ## Next Steps -[Connect to a Database](../../quick-start/connect-database.md) \ No newline at end of file +[Connect to a Database](../../getting-started/connect-data-source.md) \ No newline at end of file diff --git a/docs/administration/production-deploy/install-tapdata-ha.md b/docs/administration/production-deploy/install-tapdata-ha.md index 19dab69e..8c4b02b8 100644 --- a/docs/administration/production-deploy/install-tapdata-ha.md +++ b/docs/administration/production-deploy/install-tapdata-ha.md @@ -298,4 +298,4 @@ Before deployment, we need to perform the following operations on both servers. ## Next Steps -[Connect to a Database](../../quick-start/connect-database.md) \ No newline at end of file +[Connect to a Database](../../getting-started/connect-data-source.md) \ No newline at end of file diff --git a/docs/administration/troubleshooting/error-and-solutions.md b/docs/administration/troubleshooting/error-and-solutions.md index 56c8e71e..8bce2f45 100644 --- a/docs/administration/troubleshooting/error-and-solutions.md +++ b/docs/administration/troubleshooting/error-and-solutions.md @@ -22,7 +22,7 @@ Task runtime logs can be viewed at the bottom of the [task monitoring page](../. **Scenario**: This error occurs when Oracle is used as the source and incremental data synchronization fails. -**Solution**: Enable Oracle's archive logging. For details, see [Preparation for Oracle Data Source](../../prerequisites/on-prem-databases/oracle.md). +**Solution**: Enable Oracle's archive logging. For details, see [Preparation for Oracle Data Source](../../connectors/on-prem-databases/oracle.md). ### ORA-00257 @@ -53,7 +53,7 @@ Task runtime logs can be viewed at the bottom of the [task monitoring page](../. **Scenario**: Oracle is used as the source and fails to perform full or incremental synchronization. -**Solution**: Typically, this is a permission assignment issue. For authorization methods, see [Preparation for Oracle Data Source](../../prerequisites/on-prem-databases/oracle.md). +**Solution**: Typically, this is a permission assignment issue. For authorization methods, see [Preparation for Oracle Data Source](../../connectors/on-prem-databases/oracle.md). ### ORA-01400: cannot insert NULL into... diff --git a/docs/case-practices/best-practice/full-breakpoint-resumption.md b/docs/case-practices/best-practice/full-breakpoint-resumption.md index 565d7599..ca81e5ed 100644 --- a/docs/case-practices/best-practice/full-breakpoint-resumption.md +++ b/docs/case-practices/best-practice/full-breakpoint-resumption.md @@ -17,7 +17,7 @@ To address this issue, TapData introduces the full resumption from breakpoint fu ## Prerequisites * The full resumption from breakpoint is currently only supported for MongoDB data sources, i.e., the source database must be MongoDB. -* Before creating a data transformation task, ensure you have configured the relevant data sources, see [Configuring MongoDB Connection](../../prerequisites/on-prem-databases/mongodb.md) for details. +* Before creating a data transformation task, ensure you have configured the relevant data sources, see [Configuring MongoDB Connection](../../connectors/on-prem-databases/mongodb.md) for details. ## Procedure diff --git a/docs/case-practices/best-practice/handle-schema-changes.md b/docs/case-practices/best-practice/handle-schema-changes.md index 8cb966f5..c6d81800 100644 --- a/docs/case-practices/best-practice/handle-schema-changes.md +++ b/docs/case-practices/best-practice/handle-schema-changes.md @@ -21,7 +21,7 @@ To ensure the high availability and fault tolerance of data replication/transfor :::tip - Besides enabling this switch, the target database must also support **DDL** **application**. You can check the support status of various data sources for DDL event collection and DDL apply through the [supported data sources](../../prerequisites/supported-databases.md) document, or in the **Advanced Settings** of the target node, see the hint for **DDL Event Apply**. + Besides enabling this switch, the target database must also support **DDL** **application**. You can check the support status of various data sources for DDL event collection and DDL apply through the [supported data sources](../../connectors/supported-data-sources.md) document, or in the **Advanced Settings** of the target node, see the hint for **DDL Event Apply**. ::: diff --git a/docs/case-practices/best-practice/heart-beat-task.md b/docs/case-practices/best-practice/heart-beat-task.md index e8be12a3..c3274ce8 100644 --- a/docs/case-practices/best-practice/heart-beat-task.md +++ b/docs/case-practices/best-practice/heart-beat-task.md @@ -15,7 +15,7 @@ TapData uses heartbeat tables to write timestamp information to the source datab ## Considerations -* Since the heartbeat table function needs to automatically create the table and update the timestamp in the source database, ensure the database account has the necessary permissions before enabling. For example, in MySQL, ensure the account has **CREATE**, **INSERT**, and **UPDATE** permissions. For more on permissions, see [Data Source Preparation](../../prerequisites/README.md). +* Since the heartbeat table function needs to automatically create the table and update the timestamp in the source database, ensure the database account has the necessary permissions before enabling. For example, in MySQL, ensure the account has **CREATE**, **INSERT**, and **UPDATE** permissions. For more on permissions, see [Data Source Preparation](../../connectors/README.md). * The heartbeat table is named **_tapdata_heartbeat_table**. Ensure the integrity and reliability of the heartbeat table data and avoid operations on it in the source database (such as deleting the table). ## Enabling Heartbeat Tables for a Data Source @@ -26,7 +26,7 @@ TapData uses heartbeat tables to write timestamp information to the source datab 3. Find the created data source and click **Edit** in the **Actions** column. - If setting this up during the creation of a new data source, the method is the same. For more information, see [Connecting Data Sources](../../prerequisites/README.md). + If setting this up during the creation of a new data source, the method is the same. For more information, see [Connecting Data Sources](../../connectors/README.md). 4. Scroll down to the bottom of the page and turn on the heartbeat table switch. @@ -34,7 +34,7 @@ TapData uses heartbeat tables to write timestamp information to the source datab :::tip - If you do not see this switch, check the **Connection Type** setting on the page to ensure it is set to **Source and Target**. Additionally, some data sources do not support being used as both source and target. For more information, see [Supported Data Sources](../../prerequisites/supported-databases.md). + If you do not see this switch, check the **Connection Type** setting on the page to ensure it is set to **Source and Target**. Additionally, some data sources do not support being used as both source and target. For more information, see [Supported Data Sources](../../connectors/supported-data-sources.md). ::: diff --git a/docs/case-practices/best-practice/raw-logs-solution.md b/docs/case-practices/best-practice/raw-logs-solution.md index d5675a79..36f8fb61 100644 --- a/docs/case-practices/best-practice/raw-logs-solution.md +++ b/docs/case-practices/best-practice/raw-logs-solution.md @@ -13,7 +13,7 @@ To enhance the efficiency of capturing data changes, TapData supports not only u * **Operating System**: Linux 64 or Windows 64 platforms. * **Storage**: Supported file systems include ext4, btrfs, zfs, xfs, sshfs; supported database block sizes are 2k, 4k, 8k, 16k, 32k. * **Port Requirements**: Some server ports must be open for service communication, including: default data transfer port: **8203**, web management default port: **8303**, raw log service port: **8190**. -* **Permission**: The operating system user running the raw log plugin must have read access to redo log files; in addition to the permissions required for the source database as per the [Oracle Preparation Work](../../prerequisites/on-prem-databases/oracle.md#source) and enabling archive logs, additional permissions must be granted to simulate Oracle's data information structure and processes to cache part of Oracle Schema information to support the parsing of redo logs. +* **Permission**: The operating system user running the raw log plugin must have read access to redo log files; in addition to the permissions required for the source database as per the [Oracle Preparation Work](../../connectors/on-prem-databases/oracle.md#source) and enabling archive logs, additional permissions must be granted to simulate Oracle's data information structure and processes to cache part of Oracle Schema information to support the parsing of redo logs. ```sql -- Replace with the actual username @@ -106,7 +106,7 @@ Next, we'll demonstrate the deployment process for raw log querying using Oracle ## Next Steps -When [configuring an Oracle connection](../../prerequisites/on-prem-databases/oracle.md), choose the log plugin as **bridge** and then enter the IP address of the raw log service, with the default service port being **8190**. +When [configuring an Oracle connection](../../connectors/on-prem-databases/oracle.md), choose the log plugin as **bridge** and then enter the IP address of the raw log service, with the default service port being **8190**. ## Common Questions diff --git a/docs/case-practices/pipeline-tutorial/excel-to-mysql.md b/docs/case-practices/pipeline-tutorial/excel-to-mysql.md index b2fc2920..b2018776 100644 --- a/docs/case-practices/pipeline-tutorial/excel-to-mysql.md +++ b/docs/case-practices/pipeline-tutorial/excel-to-mysql.md @@ -20,8 +20,8 @@ The business provides real-time data updates and improved data analysis capabili Before you create a replication task, make sure you have configured the relevant data source: -1. [Configure Excel Connection](../../prerequisites/files/excel.md) -2. [Configure MySQL Connection](../../prerequisites/on-prem-databases/mysql.md) +1. [Configure Excel Connection](../../connectors/files/excel.md) +2. [Configure MySQL Connection](../../connectors/on-prem-databases/mysql.md) ## Procedure diff --git a/docs/case-practices/pipeline-tutorial/extract-array.md b/docs/case-practices/pipeline-tutorial/extract-array.md index aa9aad1a..29560f36 100644 --- a/docs/case-practices/pipeline-tutorial/extract-array.md +++ b/docs/case-practices/pipeline-tutorial/extract-array.md @@ -52,7 +52,7 @@ Next, we will introduce how to use the built-in **Standard JS** node in TapData ## Prerequisites -Before creating a data conversion task, you need to add the data source to which the settlement table belongs to TapData. Also, you need to add a data source (such as a MySQL database) as the target database. For specific operations, see [Configure MySQL Connection](../../prerequisites/on-prem-databases/mysql.md). +Before creating a data conversion task, you need to add the data source to which the settlement table belongs to TapData. Also, you need to add a data source (such as a MySQL database) as the target database. For specific operations, see [Configure MySQL Connection](../../connectors/on-prem-databases/mysql.md). ## Procedure diff --git a/docs/case-practices/pipeline-tutorial/mysql-bi-directional-sync.md b/docs/case-practices/pipeline-tutorial/mysql-bi-directional-sync.md index 7f91ac2c..2b352d43 100644 --- a/docs/case-practices/pipeline-tutorial/mysql-bi-directional-sync.md +++ b/docs/case-practices/pipeline-tutorial/mysql-bi-directional-sync.md @@ -41,7 +41,7 @@ Tapdata supports bi-directional data synchronization for MySQL ↔ MySQL, Postgr ## Preparation -[Connect MySQL databases in two regions separately](../../prerequisites/on-prem-databases/mysql.md). +[Connect MySQL databases in two regions separately](../../connectors/on-prem-databases/mysql.md). :::tip diff --git a/docs/case-practices/pipeline-tutorial/mysql-to-aliyun.md b/docs/case-practices/pipeline-tutorial/mysql-to-aliyun.md index 48aec16c..aed0bcdb 100644 --- a/docs/case-practices/pipeline-tutorial/mysql-to-aliyun.md +++ b/docs/case-practices/pipeline-tutorial/mysql-to-aliyun.md @@ -25,7 +25,7 @@ Next, we will introduce the specific operational procedures. ## Preparation -1. [Connect to your on-prem MySQL database](../../prerequisites/on-prem-databases/mysql.md). +1. [Connect to your on-prem MySQL database](../../connectors/on-prem-databases/mysql.md). :::tip @@ -33,7 +33,7 @@ Next, we will introduce the specific operational procedures. ::: -2. [Connect to Alibaba Cloud RDS MySQL](../../prerequisites/cloud-databases/aliyun-rds-for-mysql.md). +2. [Connect to Alibaba Cloud RDS MySQL](../../connectors/cloud-databases/aliyun-rds-for-mysql.md). ## Steps diff --git a/docs/case-practices/pipeline-tutorial/mysql-to-bigquery.md b/docs/case-practices/pipeline-tutorial/mysql-to-bigquery.md index e13dcaec..86be10d0 100644 --- a/docs/case-practices/pipeline-tutorial/mysql-to-bigquery.md +++ b/docs/case-practices/pipeline-tutorial/mysql-to-bigquery.md @@ -12,8 +12,8 @@ To illustrate this synchronization process, let's consider MySQL as the source d Before you create a replication task, make sure you have configured the relevant data source: -1. [Configure MySQL Connection](../../prerequisites/on-prem-databases/mysql.md) -2. [Configure BigQuery Connection](../../prerequisites/warehouses-and-lake/big-query.md) +1. [Configure MySQL Connection](../../connectors/on-prem-databases/mysql.md) +2. [Configure BigQuery Connection](../../connectors/warehouses-and-lake/big-query.md) Also note the reference [data type support](../../user-guide/no-supported-data-type.md). diff --git a/docs/case-practices/pipeline-tutorial/mysql-to-clickhouse.md b/docs/case-practices/pipeline-tutorial/mysql-to-clickhouse.md index 09702928..1a4a0fb3 100644 --- a/docs/case-practices/pipeline-tutorial/mysql-to-clickhouse.md +++ b/docs/case-practices/pipeline-tutorial/mysql-to-clickhouse.md @@ -25,8 +25,8 @@ Recognizing the demand for data migration, TapData introduced ClickHouse as a sy Before setting up a data sync pipeline on TapData Cloud, connect your data sources: -1. [Connect to MySQL](../../prerequisites/on-prem-databases/mysql.md) -2. [Connect to ClickHouse](../../prerequisites/warehouses-and-lake/clickhouse.md) +1. [Connect to MySQL](../../connectors/on-prem-databases/mysql.md) +2. [Connect to ClickHouse](../../connectors/warehouses-and-lake/clickhouse.md) ## Configure Task diff --git a/docs/case-practices/pipeline-tutorial/mysql-to-oracle.md b/docs/case-practices/pipeline-tutorial/mysql-to-oracle.md index 9ca24c7c..ac676ab0 100644 --- a/docs/case-practices/pipeline-tutorial/mysql-to-oracle.md +++ b/docs/case-practices/pipeline-tutorial/mysql-to-oracle.md @@ -24,8 +24,8 @@ Having understood the differences between TapData and traditional solutions, we Before building the data sync pipeline, we first need to establish a connection to the data source on TapData. The specific steps are as follows: -1. [Connect to MySQL](../../prerequisites/on-prem-databases/mysql.md) -2. [Connect to Oracle](../../prerequisites/on-prem-databases/oracle.md) +1. [Connect to MySQL](../../connectors/on-prem-databases/mysql.md) +2. [Connect to Oracle](../../connectors/on-prem-databases/oracle.md) ## Configure Task diff --git a/docs/case-practices/pipeline-tutorial/mysql-to-redis.md b/docs/case-practices/pipeline-tutorial/mysql-to-redis.md index c0bfd43f..c40dcd1c 100644 --- a/docs/case-practices/pipeline-tutorial/mysql-to-redis.md +++ b/docs/case-practices/pipeline-tutorial/mysql-to-redis.md @@ -17,8 +17,8 @@ If you need to sync a table from the source MySQL to Redis at the same time, you Before creating a data transformation task, make sure you have set up the relevant data sources: -1. [Configure MySQL connection](../../prerequisites/on-prem-databases/mysql.md) -2. [Configure Redis connection](../../prerequisites/on-prem-databases/redis.md) +1. [Configure MySQL connection](../../connectors/on-prem-databases/mysql.md) +2. [Configure Redis connection](../../connectors/on-prem-databases/redis.md) ## Procedure diff --git a/docs/case-practices/pipeline-tutorial/oracle-to-kafka.md b/docs/case-practices/pipeline-tutorial/oracle-to-kafka.md index d02fe3ad..ff92c267 100644 --- a/docs/case-practices/pipeline-tutorial/oracle-to-kafka.md +++ b/docs/case-practices/pipeline-tutorial/oracle-to-kafka.md @@ -34,8 +34,8 @@ In this case, we aim to read real-time data from the car insurance claims table Before creating a data transformation task, ensure you have configured the necessary data sources: -1. [Configure Oracle Connection](../../prerequisites/on-prem-databases/oracle.md) -2. [Configure Kafka Connection](../../prerequisites/mq-and-middleware/kafka.md) +1. [Configure Oracle Connection](../../connectors/on-prem-databases/oracle.md) +2. [Configure Kafka Connection](../../connectors/mq-and-middleware/kafka.md) ## Configure Task diff --git a/docs/case-practices/pipeline-tutorial/oracle-to-tablestore.md b/docs/case-practices/pipeline-tutorial/oracle-to-tablestore.md index 338dd65d..df570674 100644 --- a/docs/case-practices/pipeline-tutorial/oracle-to-tablestore.md +++ b/docs/case-practices/pipeline-tutorial/oracle-to-tablestore.md @@ -9,8 +9,8 @@ import Content from '../../reuse-content/_all-features.md'; Before you create a replication task, make sure you have configured the relevant data source: -1. [Configure Oracle Connection](../../prerequisites/on-prem-databases/oracle.md) -2. [Configure Tablestore Connection](../../prerequisites/warehouses-and-lake/tablestore.md) +1. [Configure Oracle Connection](../../connectors/on-prem-databases/oracle.md) +2. [Configure Tablestore Connection](../../connectors/warehouses-and-lake/tablestore.md) Also note the reference [data type support](../../user-guide/no-supported-data-type.md). diff --git a/docs/case-practices/pipeline-tutorial/sql-server-to-bigquery.md b/docs/case-practices/pipeline-tutorial/sql-server-to-bigquery.md index 9f99bdf6..b2e11769 100644 --- a/docs/case-practices/pipeline-tutorial/sql-server-to-bigquery.md +++ b/docs/case-practices/pipeline-tutorial/sql-server-to-bigquery.md @@ -31,8 +31,8 @@ To fully tap into these advantages, the initial step is to ensure effective sync Before you create a replication task, make sure you have configured the relevant data source: -1. [Configure SQL Server Connection](../../prerequisites/on-prem-databases/sqlserver.md) -2. [Configure BigQuery Connection](../../prerequisites/warehouses-and-lake/big-query.md) +1. [Configure SQL Server Connection](../../connectors/on-prem-databases/sqlserver.md) +2. [Configure BigQuery Connection](../../connectors/warehouses-and-lake/big-query.md) Also note the reference [data type support](../../user-guide/no-supported-data-type.md). diff --git a/docs/connectors/README.md b/docs/connectors/README.md new file mode 100644 index 00000000..0ad5a51a --- /dev/null +++ b/docs/connectors/README.md @@ -0,0 +1,11 @@ +# Connect to Data Sources + +import Content from '../reuse-content/_all-features.md'; + + + +TapData supports nearly a hundred [diverse data sources](supported-data-sources.md), including commercial databases, open-source databases, cloud databases, data warehouses, data lakes, message queues, SaaS platforms, files, and custom data sources. + +import DocCardList from '@theme/DocCardList'; + + diff --git a/docs/prerequisites/allow-access-network.md b/docs/connectors/allow-access-network.md similarity index 100% rename from docs/prerequisites/allow-access-network.md rename to docs/connectors/allow-access-network.md diff --git a/docs/prerequisites/cloud-databases/README.md b/docs/connectors/cloud-databases/README.md similarity index 100% rename from docs/prerequisites/cloud-databases/README.md rename to docs/connectors/cloud-databases/README.md diff --git a/docs/prerequisites/cloud-databases/aliyun-adb-mysql.md b/docs/connectors/cloud-databases/aliyun-adb-mysql.md similarity index 100% rename from docs/prerequisites/cloud-databases/aliyun-adb-mysql.md rename to docs/connectors/cloud-databases/aliyun-adb-mysql.md diff --git a/docs/prerequisites/cloud-databases/aliyun-adb-postgresql.md b/docs/connectors/cloud-databases/aliyun-adb-postgresql.md similarity index 100% rename from docs/prerequisites/cloud-databases/aliyun-adb-postgresql.md rename to docs/connectors/cloud-databases/aliyun-adb-postgresql.md diff --git a/docs/prerequisites/cloud-databases/aliyun-mongodb.md b/docs/connectors/cloud-databases/aliyun-mongodb.md similarity index 100% rename from docs/prerequisites/cloud-databases/aliyun-mongodb.md rename to docs/connectors/cloud-databases/aliyun-mongodb.md diff --git a/docs/prerequisites/cloud-databases/aliyun-rds-for-mariadb.md b/docs/connectors/cloud-databases/aliyun-rds-for-mariadb.md similarity index 100% rename from docs/prerequisites/cloud-databases/aliyun-rds-for-mariadb.md rename to docs/connectors/cloud-databases/aliyun-rds-for-mariadb.md diff --git a/docs/prerequisites/cloud-databases/aliyun-rds-for-mongodb.md b/docs/connectors/cloud-databases/aliyun-rds-for-mongodb.md similarity index 100% rename from docs/prerequisites/cloud-databases/aliyun-rds-for-mongodb.md rename to docs/connectors/cloud-databases/aliyun-rds-for-mongodb.md diff --git a/docs/prerequisites/cloud-databases/aliyun-rds-for-mysql.md b/docs/connectors/cloud-databases/aliyun-rds-for-mysql.md similarity index 100% rename from docs/prerequisites/cloud-databases/aliyun-rds-for-mysql.md rename to docs/connectors/cloud-databases/aliyun-rds-for-mysql.md diff --git 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diff --git a/docs/prerequisites/warehouses-and-lake/starrocks.md b/docs/connectors/warehouses-and-lake/starrocks.md similarity index 100% rename from docs/prerequisites/warehouses-and-lake/starrocks.md rename to docs/connectors/warehouses-and-lake/starrocks.md diff --git a/docs/prerequisites/warehouses-and-lake/tablestore.md b/docs/connectors/warehouses-and-lake/tablestore.md similarity index 100% rename from docs/prerequisites/warehouses-and-lake/tablestore.md rename to docs/connectors/warehouses-and-lake/tablestore.md diff --git a/docs/prerequisites/warehouses-and-lake/yashandb.md b/docs/connectors/warehouses-and-lake/yashandb.md similarity index 100% rename from docs/prerequisites/warehouses-and-lake/yashandb.md rename to docs/connectors/warehouses-and-lake/yashandb.md diff --git a/docs/design-incremental-views/README.md b/docs/design-incremental-views/README.md new file mode 100644 index 00000000..84d2530e --- /dev/null +++ b/docs/design-incremental-views/README.md @@ -0,0 +1 @@ +# Design Incremental Materialized Views--TBD \ No newline at end of file diff --git a/docs/design-incremental-views/create-views/README.md b/docs/design-incremental-views/create-views/README.md new file mode 100644 index 00000000..7088487b --- /dev/null +++ b/docs/design-incremental-views/create-views/README.md @@ -0,0 +1 @@ +# Create Views \ No newline at end of file diff --git a/docs/design-incremental-views/create-views/using-data-pipeline-ui.md b/docs/design-incremental-views/create-views/using-data-pipeline-ui.md new file mode 100644 index 00000000..283e8d9f --- /dev/null +++ b/docs/design-incremental-views/create-views/using-data-pipeline-ui.md @@ -0,0 +1 @@ +# Using Data Pipeline UI \ No newline at end of file diff --git a/docs/design-incremental-views/create-views/using-imv-guide.md b/docs/design-incremental-views/create-views/using-imv-guide.md new file mode 100644 index 00000000..9181e986 --- /dev/null +++ b/docs/design-incremental-views/create-views/using-imv-guide.md @@ -0,0 +1 @@ +# Using IMV Guide--TBD \ No newline at end of file diff --git a/docs/design-incremental-views/create-views/using-tapflow.md b/docs/design-incremental-views/create-views/using-tapflow.md new file mode 100644 index 00000000..658d5821 --- /dev/null +++ b/docs/design-incremental-views/create-views/using-tapflow.md @@ -0,0 +1 @@ +# Using TapFlow--TBD \ No newline at end of file diff --git a/docs/design-incremental-views/design-considerations.md b/docs/design-incremental-views/design-considerations.md new file mode 100644 index 00000000..e6a9a158 --- /dev/null +++ b/docs/design-incremental-views/design-considerations.md @@ -0,0 +1 @@ +# Design Considerations \ No newline at end of file diff --git a/docs/design-incremental-views/monitor-view-tasks.md b/docs/design-incremental-views/monitor-view-tasks.md new file mode 100644 index 00000000..2860a9c4 --- /dev/null +++ b/docs/design-incremental-views/monitor-view-tasks.md @@ -0,0 +1 @@ +# Monitor View Tasks \ No newline at end of file diff --git a/docs/design-incremental-views/overview.md b/docs/design-incremental-views/overview.md new file mode 100644 index 00000000..05259678 --- /dev/null +++ b/docs/design-incremental-views/overview.md @@ -0,0 +1 @@ +# Overview--TBD \ No newline at end of file diff --git a/docs/design-incremental-views/validate-views.md b/docs/design-incremental-views/validate-views.md new file mode 100644 index 00000000..5ef4108a --- /dev/null +++ b/docs/design-incremental-views/validate-views.md @@ -0,0 +1 @@ +# Validate Views \ No newline at end of file diff --git a/docs/faq/data-pipeline.md b/docs/faq/data-pipeline.md index 647099ba..30c12837 100644 --- a/docs/faq/data-pipeline.md +++ b/docs/faq/data-pipeline.md @@ -155,7 +155,7 @@ The topic expression is a regular expression used to match the name of the messa ### If Oracle synchronizes to SQL Server, is the Select permission sufficient? -Oracle needs some additional permissions for CDC. For specific configuration and authorization, see [Oracle Preparation Work](../prerequisites/on-prem-databases/oracle.md). +Oracle needs some additional permissions for CDC. For specific configuration and authorization, see [Oracle Preparation Work](../connectors/on-prem-databases/oracle.md). ### Can changes be made during task execution, such as adding tables to be synchronized? diff --git a/docs/faq/use-product.md b/docs/faq/use-product.md index 965e07a9..8a2128b3 100644 --- a/docs/faq/use-product.md +++ b/docs/faq/use-product.md @@ -8,7 +8,7 @@ This article lists common questions encountered while using TapData. ## What data sources does TapData support? -TapData supports a wide range of databases, including common relational, non-relational, and queue-based data sources. For details, see [Supported Databases](../prerequisites/supported-databases.md). +TapData supports a wide range of databases, including common relational, non-relational, and queue-based data sources. For details, see [Supported Databases](../connectors/supported-data-sources.md). ## Does TapData offer a trial? @@ -25,7 +25,7 @@ TapData offers two deployment options, **Cloud** and **Enterprise**, to meet you ## What to do if the connection test fails? -When creating a data connection, refer to the connection configuration help on the right side of the page and complete the settings according to the guide. You can also refer to [Preparation Work](../prerequisites) to complete the setup. +When creating a data connection, refer to the connection configuration help on the right side of the page and complete the settings according to the guide. You can also refer to [Preparation Work](../connectors) to complete the setup. ## When configuring a replication task, why is the target node inference result abnormal? diff --git a/docs/quick-start/README.md b/docs/getting-started/README.md similarity index 100% rename from docs/quick-start/README.md rename to docs/getting-started/README.md diff --git a/docs/getting-started/build-real-time-materialized-view.md b/docs/getting-started/build-real-time-materialized-view.md new file mode 100644 index 00000000..afe9ed7a --- /dev/null +++ b/docs/getting-started/build-real-time-materialized-view.md @@ -0,0 +1,2 @@ +# Step 3: Create Your First Materialized View--TBD + diff --git a/docs/getting-started/connect-data-source.md b/docs/getting-started/connect-data-source.md new file mode 100644 index 00000000..87840be7 --- /dev/null +++ b/docs/getting-started/connect-data-source.md @@ -0,0 +1,69 @@ +# Step 2: Connect a Data Sources + +import Content from '../reuse-content/_all-features.md'; + + + +Once you have [installed the Agent](install.md), you need to connect the Agent to the data sources through TapData, and you can create a data pipeline once the connection has been established. + +:::tip + +Before connecting to the data sources, you also need to ensure that the network environment is accessed properly and complete the authorization of the database account. For more information, see [Preparation](../connectors/README.md). + +::: + +## Procedure + +1. [Log in to TapData Platform](../user-guide/log-in.md). + +2. In the left navigation panel, click **Connections**. + +3. On the right side of the page, click on **Create**. A dialog box will appear, where you can select the desired data source to establish a connection with. + + ![Connection Demo](../images/connect_database_demo.png) + +4. After being redirected to the connection configuration page, proceed to fill in the required data source connection information. + + On the right panel of the page, you will find helpful information and guidance regarding the configuration of the connection. + + :::tip + + The operation process will be demonstrated using MySQL as an example. For more examples, see [Connect Data Sources](../connectors/README.md). + + ::: + + ![Connection configuration example](../images/mysql_connection_demo.png) + + * **Connection Settings** + * **Name**: Enter a unique name with business significance. + * **Type**: Support using MySQL as either a source or target database. + * **Deployment Mode**: Support for single-node and primary-replica architecture. When selecting the primary-replica architecture, provide the primary and replica server addresses and service ports. The primary server information should be entered in the first row. + * **Server Address**: Database connection address. + * **Port**: Database service port. + * **Database**: The database name. Each connection corresponds to one database. If there are multiple databases, create multiple connections. + * **Username**: The database username. + * **Password**: The database password. + * **Advanced Settings** + * **Connection Parameter String**: Default is `useUnicode=yes&characterEncoding=UTF-8`, indicating that data transmission will use the UTF-8 encoded Unicode character set, which helps avoid character encoding issues. + * **Timezone**: Default is set to 0 timezone. If configured to another timezone, it will affect fields without timezone information (e.g., `datetime`). Fields with timezone information (e.g., `timestamp`, `date`, and `time`) are not affected. + * **CDC Log Caching**: [Mining the source database's](../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + * **Contain Table**: The default option is **All**, which includes all tables. Alternatively, you can select **Custom** and manually specify the desired tables by separating their names with commas (,). + * **Exclude Tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. + * **Agent Settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. + * **Model Load Time**: If there are less than 10,000 models in the data source, their schema will be updated every hour. But if the number of models exceeds 10,000, the refresh will take place daily at the time you have specified. + * **Enable Heartbeat Table**: When the connection type is source or target, you can enable this switch. TapData will create a `_tapdata_heartbeat_table` heartbeat table in the source database and update it every 10 seconds (requires appropriate permissions) to monitor the health of the data source connection and tasks. The heartbeat task starts automatically after the data replication/development task starts, and you can view the heartbeat task in the data source editing page. + * **SSL Settings**: Choose whether to enable SSL for the data source connection to enhance data security. After enabling this feature, you need to upload CA files, client certificates, client key files, etc. + +5. Click **Test** at the bottom of the page, and when passed the check, click **Save**. + + :::tip + + If the connection test fails, follow the prompts on the page to fix it. + + ::: + + + +## Next step + +[Create a Data Pipeline](create-task.md) \ No newline at end of file diff --git a/docs/quick-start/create-task.md b/docs/getting-started/create-task.md similarity index 95% rename from docs/quick-start/create-task.md rename to docs/getting-started/create-task.md index 3c7734e0..af0d921b 100644 --- a/docs/quick-start/create-task.md +++ b/docs/getting-started/create-task.md @@ -14,5 +14,5 @@ TapData allows you to synchronize data from various sources and process it durin ## See also * [Enable Data Service Platform](../user-guide/real-time-data-hub/daas-mode/enable-daas-mode.md) -* [Supported Data Sources](../prerequisites/supported-databases.md) +* [Supported Data Sources](../connectors/supported-data-sources.md) * [Best Practices](../case-practices/best-practice/README.md) \ No newline at end of file diff --git a/docs/getting-started/install-and-setup/README.md b/docs/getting-started/install-and-setup/README.md new file mode 100644 index 00000000..4a61eabb --- /dev/null +++ b/docs/getting-started/install-and-setup/README.md @@ -0,0 +1,20 @@ +# Step 1: Install and Setup + +TapData offers two deployment modes **Enterprise** and **Community**, to meet your diversified needs: + +| Product | Applicable Scenarios | +| ---------------------------------------------------------- | ------------------------------------------------------------ | +| [TapData Enterprise](install-enterprise-edition/README.md) | Supports deployment to local data centers. Suitable for scenarios with strict requirements on data sensitivity or network isolation, such as financial institutions, government departments, or large enterprises that want full control over their data. | +| [TapData Community](install-community-edition.md) | An [open-source](https://github.com/tapdata/tapdata) data integration platform that provides basic data synchronization and transformation capabilities. This helps you quickly explore and implement data integration projects. As your project or business grows, you can seamlessly upgrade to TapData Cloud or TapData Enterprise to access more advanced features and service support. | + +:::tip + +For more information, see [Edition Comparison](../../introduction/compare-editions.md). + +::: + +Follow the docs below to deploy TapData: + +import DocCardList from '@theme/DocCardList'; + + diff --git a/docs/installation/install-tapdata-community.md b/docs/getting-started/install-and-setup/install-community-edition.md similarity index 92% rename from docs/installation/install-tapdata-community.md rename to docs/getting-started/install-and-setup/install-community-edition.md index da827c04..1ce80ed7 100644 --- a/docs/installation/install-tapdata-community.md +++ b/docs/getting-started/install-and-setup/install-community-edition.md @@ -1,8 +1,4 @@ -# TapData Community - -import Content from '../reuse-content/_community-features.md'; - - +# Deploy ODH Community TapData Community is an open-source real-time data platform that facilitates data synchronization and transformation. This guide demonstrates how to quickly install and start TapData Community. @@ -17,7 +13,7 @@ Before you begin, ensure your environment meets the following requirements: - Hardware specifications: 8-core CPU (x86 architecture), 16 GB of memory - Storage specifications: 100 GB -- Operating System: **CentOS 7+** , **Ubuntu 16.04+** or **Red Hat Enterprise Linux（RHEL）7.x/8.x** +- Operating System: **CentOS 7+** , **Ubuntu 16.04+** , **Red Hat Enterprise Linux（RHEL）7.x/8.x** or **Windows OS (64-bit)**. ## Component Overview @@ -90,7 +86,7 @@ TapData Community includes the following main components: For example, for version 3.5.16, the command would be: `tar -zxvf tapdata-v3.5.16-663b7b11.tar.gz && cd tapdata` -3. [Install MongoDB](../administration/production-deploy/install-replica-mongodb.md) (version 4.0 or later). TapData will use it as an intermediary database to store tasks and metadata. +3. [Install MongoDB](../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 or later). TapData will use it as an intermediary database to store tasks and metadata. 3. Execute the following command to specify the [URI connection string](https://www.mongodb.com/docs/v5.0/reference/connection-string/#standard-connection-string-format) of the MongoDB instance you just deployed. @@ -126,4 +122,4 @@ TapData Community includes the following main components: ## Next Steps -[Connect to a Database](../quick-start/connect-database.md) \ No newline at end of file +[Connect to a Database](../connect-data-source.md) \ No newline at end of file diff --git a/docs/getting-started/install-and-setup/install-enterprise-edition.md b/docs/getting-started/install-and-setup/install-enterprise-edition.md new file mode 100644 index 00000000..0aca48a5 --- /dev/null +++ b/docs/getting-started/install-and-setup/install-enterprise-edition.md @@ -0,0 +1,266 @@ +# Deploy ODH Enterprise + +The Enterprise Edition Operational Data Hub (ODH) supports both single-node and high-availability deployments. This article explains how to quickly deploy it locally on Linux and Windows platforms (single-node architecture). For production environments, it is recommended to use the [high-availability deployment](../../../administration/production-deploy/install-tapdata-ha.md) approach. + +```mdx-code-block +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; +``` + +## Prerequisites + +Before you begin, ensure your environment meets the following requirements: + +- Hardware specifications: 8-core CPU (x86 architecture), 16 GB of memory +- Storage specifications: 100 GB +- Operating System: **CentOS 7+** , **Ubuntu 16.04+** or **Red Hat Enterprise Linux（RHEL）7.x/8.x** + + + +## Procedure + +```mdx-code-block + + +``` +This guide uses CentOS 7 as an example to demonstrate the deployment process. + +1. Log in to the target device and execute the following commands to set system parameters such as file access numbers and firewall. + + ```bash + ulimit -n 1024000 + echo "* soft nofile 1024000" >> /etc/security/limits.conf + echo "* hard nofile 1024000" >> /etc/security/limits.conf + systemctl disable firewalld.service + systemctl stop firewalld.service + setenforce 0 + sed -i "s/enforcing/disabled/g" /etc/selinux/config + ``` + +2. Install environmental dependencies. + + 1. Install Java 1.8 version. + + ```bash + yum -y install java-1.8.0-openjdk + ``` + + 2. [Install MongoDB](../../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. + +3. Download the TapData installation package (contact us at [team@tapdata.io](mailto:team@tapdata.io) to obtain it) and upload it to the target device. + +4. On the target device, execute the command below to unzip the package and enter the unzipped directory. + + ```bash + tar -zxvf package_name && cd tapdata + ``` + + For example: `tar -zxvf tapdata-release-v2.14.tar.gz && cd tapdata` + +5. Prepare the License file. + + 1. Execute the following command to obtain the SID information required for the application. + + ```bash + java -cp components/tm.jar -Dloader.main=com.tapdata.tm.license.util.SidGenerator org.springframework.boot.loader.PropertiesLauncher + ``` + + 2. Provide the printed SID information to the TapData support team to complete the License application process. + + 3. Upload the acquired License file to the unzipped directory (**tapdata**). + +6. Execute `./tapdata start` and follow the command-line prompts to set TapData's login address, API service port, MongoDB connection information, etc. The example and explanation are as follows: + + :::tip + + If deploying with a non-root user, avoid using `sudo` to elevate privileges to prevent installation failure. Before executing commands, use `sudo chown -R : ` or `sudo chmod -R 777 ` to grant full permissions to the installation directory for the current user. + + ::: + + ```bash + ./tapdata start + _______ _____ _____ _______ + |__ __|/\ | __ \| __ \ /\|__ __|/\ + | | / \ | |__) | | | | / \ | | / \ + | | / /\ \ | ___/| | | |/ /\ \ | | / /\ \ + | |/ ____ \| | | |__| / ____ \| |/ ____ \ + |_/_/ \_\_| |_____/_/ \_\_/_/ \_\ + + WORK DIR:/root/tapdata + Init tapdata... + ✔ Please enter backend url, comma separated list. e.g.:http://127.0.0.1:3030/ (Default: http://127.0.0.1:3030/): … + ✔ Please enter tapdata port. (Default: 3030): … + ✔ Please enter api server port. (Default: 3080): … + ✔ Does MongoDB require username/password?(y/n): … no + ✔ Does MongoDB require TLS/SSL?(y/n): … no + ✔ Please enter MongoDB host, port, database name(Default: 127.0.0.1:27017/tapdata): … + ✔ Does API Server response error code?(y/n): … yes + MongoDB uri: mongodb://127.0.0.1:27017/tapdata + MongoDB connection command: mongo mongodb://127.0.0.1:27017/tapdata + System initialized. To start TapData, run: tapdata start + WORK DIR:/root/tapdata + Testing JDK... + java version:1.8 + Java environment OK. + Unpack the files... + Restart TapDataAgent ...: + TapDataAgent starting ...: + ``` + + * **Please enter backend url**: Set the login address for the TapData platform, by default `http://127.0.0.1:3030/` + * **Please enter tapdata port**: Set the login port for the TapData platform, by default `3030`. + * **Please enter api server port**: Set the service port for the API Server, by default `3080`. + * **Does MongoDB require username/password?**: If MongoDB database has security authentication enabled, enter **y** then follow the prompts to enter the username, password, and the authentication database (default `admin`). + * **Does MongoDB require TLS/SSL?(y/n)**: If MongoDB database has TLS/SSL encryption enabled, enter **y** then follow the prompts to enter the absolute path addresses of the CA certificate and Certificate Key files, as well as the file password for the Certificate Key. + * **Please enter MongoDB host, port, database name**: Set the URI connection information for the MongoDB database, by default `127.0.0.1:27017/tapdata`. + * **Does API Server response error code?**: Whether to enable the API Server to respond with error codes. + + After successful deployment, the command line will return a message similar to the following: + + ```bash + deployed connector. + Waiting for the flow engine to start \ + FlowEngine is startup at : 2023-04-01 23:00 + API service started + ``` + +7. Log in to the TapData platform through a browser. The login address for this machine is [http://127.0.0.1:3030](http://127.0.0.1:3030). + + Please change your password promptly upon first login to ensure security. + + :::tip + + If you need to access the TapData service from other devices in the same network, ensure network interoperability. + + ::: + + + + + +This example uses Windows Server 2019 to demonstrate the deployment process. + +1. [Install MongoDB](../../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. + +2. Log in to the target device, install Java 1.8 and set environment variables. + + 1. [Download Java 1.8](https://www.oracle.com/java/technologies/javase/javase8-archive-downloads.html) and follow the prompts to complete the installation. + + 2. Go to **Control Panel** > **System and Security** > **System**. + + 3. Click **Advanced System Settings** on the left, then click **Environment Variables**. + + ![Select Environment Variables](../../images/select_system_env.png) + + 4. In the dialog that appears, click **New** under **System Variables**, fill in the variable name and value, and click **OK**. + + ![Add Variable](../../images/add_system_env.png) + + - **Variable Name**: `JAVA_HOME` + - **Variable Value**: The installation path of JDK, for example, `C:\Program Files\Java\jdk1.8.0_202` + + 5. In the **System Variables** area, find and double-click the **Path** variable, then in the dialog that appears, add the following environment variables, and click **OK**. + + ![Edit Variable](../../images/edit_system_env.png) + + - `%JAVA_HOME%\bin` + - `%JAVA_HOME%\jre\bin` + + 6. Following step 4, continue to add a system variable with the name and value as follows, then click **OK** after completing the setup. + + - **Variable Name**: `CLASSPATH` + - **Variable Value**: `.;%JAVA_HOME%\lib;%JAVA_HOME%\lib\dt.jar;%JAVA_HOME%\lib\tools.jar` + + 7. (Optional) Open the command line, execute `java -version` to verify the effectiveness of the environment variable. Successful execution example: + + ```bash + java version "1.8.0_202" + Java(TM) SE Runtime Environment (build 1.8.0_202-b08) + Java HotSpot(TM) 64-Bit Server VM (build 25.202-b08, mixed mode) + ``` + +3. Download the TapData installation package (you can [contact us](mailto:team@tapdata.io) to obtain it) and unzip the package to the desired directory. + +4. Open the command line, navigate to the unzipped directory by executing the following command, in this example, `D:\tapdata`. + + ```bash + cd /d D:\tapdata + ``` + +5. Prepare the License file. + + 1. Execute the following command to obtain the SID information required for the application. + + ```bash + java -cp components/tm.jar -Dloader.main=com.tapdata.tm.license.util.SidGenerator org.springframework.boot.loader.PropertiesLauncher + ``` + + 2. Provide the printed SID information to the TapData support team to complete the License application process. + + 3. Upload the obtained License file to the unzipped directory. + +6. Execute `./tapdata.exe start` and follow the command line prompts to set TapData's login address, API service port, MongoDB connection information, etc. Example and explanations are as follows: + + ```bash + ./tapdata.exe start + _______ _____ _____ _______ + |__ __|/\ | __ \| __ \ /\|__ __|/\ + | | / \ | |__) | | | | / \ | | / \ + | | / /\ \ | ___/| | |/ /\ \ | | / /\ \ + | |/ ____ \| | | |__| / ____ \| |/ ____ \ + |_/_/ \_\_| |_____/_/ \_\_/_/ \_\ + + WORK DIR:/root/tapdata + Init tapdata... + ✔ Please enter backend url, comma-separated list. e.g.:http://127.0.0.1:3030/ (Default: http://127.0.0.1:3030/): … + ✔ Please enter tapdata port. (Default: 3030): … + ✔ Please enter API server port. (Default: 3080): … + ✔ Does MongoDB require username/password?(y/n): … no + ✔ Does MongoDB require TLS/SSL?(y/n): … no + ✔ Please enter MongoDB host, port, database name(Default: 127.0.0.1:27017/tapdata): … + ✔ Does API Server response error code?(y/n): … yes + MongoDB URI: mongodb://127.0.0.1:27017/tapdata + MongoDB connection command: mongo mongodb://127.0.0.1:27017/tapdata + System initialized. To start TapData, run: tapdata start + WORK DIR:/root/tapdata + Testing JDK... + Java version:1.8 + Java environment OK. + Unpack the files... + Restart TapDataAgent ...: + TapDataAgent starting ...: + ``` + + * **Please enter backend url**: Set the login address for the TapData platform, default is `http://127.0.0.1:3030/`. + * **Please enter tapdata port**: Set the login port for the TapData platform, default is `3030`. + * **Please enter API server port**: Set the service port for the API Server, default is `3080`. + * **Does MongoDB require username/password?**: If MongoDB database has enabled security authentication, enter **y** then follow prompts to enter username, password, and the authentication database (default is `admin`). + * **Does MongoDB require TLS/SSL?(y/n)**: If MongoDB database has enabled TSL/SSL encryption, enter **y** then follow prompts to enter the absolute path of the CA certificate and Certificate Key file, and the file password of the Certificate Key. + * **Please enter MongoDB host, port, database name**: Set the URI connection information for the MongoDB database, default is `127.0.0.1:27017/tapdata`. + * **Does API Server response error code?**: Whether to enable API Server response error code function. + + After successful deployment, the command line returns the following example: + + ```bash + deployed connector. + Waiting for the flow engine to start \ + FlowEngine is startup at : 2023-04-01 23:00 + API service started + ``` + +7. Log in to the TapData platform through a browser. The local login address is [http://127.0.0.1:3030](http://127.0.0.1:3030). Please change the password promptly after the first login to ensure security. + + :::tip + + To access the TapData service from other devices on the same internal network, ensure the network is intercommunicable, for example, [setting Windows Firewall](https://learn.microsoft.com/en-us/windows/security/threat-protection/windows-firewall/configure-the-windows-firewall-to-allow-sql-server-access) to allow access to ports 3030 and 3080 on the local machine. + + ::: + + + + + + +## Next Steps + +[Connect a Data Source](../../connect-database.md) diff --git a/docs/installation/install-tapdata-enterprise/README.md b/docs/getting-started/install-and-setup/install-enterprise-edition/README.md similarity index 50% rename from docs/installation/install-tapdata-enterprise/README.md rename to docs/getting-started/install-and-setup/install-enterprise-edition/README.md index e8bfeb0d..fab0bb67 100644 --- a/docs/installation/install-tapdata-enterprise/README.md +++ b/docs/getting-started/install-and-setup/install-enterprise-edition/README.md @@ -1,10 +1,6 @@ # TapData Enterprise -import Content2 from '../../reuse-content/_enterprise-features.md'; - - - -TapData Enterprise supports single-node or high-availability deployment. If you are deploying in a production environment, it is recommended to use the [high-availability deployment](../../administration/production-deploy/install-tapdata-ha.md) method. +TapData Enterprise supports single-node or high-availability deployment. If you are deploying in a production environment, it is recommended to use the [high-availability deployment](../../../administration/production-deploy/install-tapdata-ha.md) method. import DocCardList from '@theme/DocCardList'; diff --git a/docs/installation/install-tapdata-enterprise/install-on-windows.md b/docs/getting-started/install-and-setup/install-enterprise-edition/install-on-windows.md similarity index 90% rename from docs/installation/install-tapdata-enterprise/install-on-windows.md rename to docs/getting-started/install-and-setup/install-enterprise-edition/install-on-windows.md index ced1838d..19cc1467 100644 --- a/docs/installation/install-tapdata-enterprise/install-on-windows.md +++ b/docs/getting-started/install-and-setup/install-enterprise-edition/install-on-windows.md @@ -1,14 +1,10 @@ # Install on Windows -import Content from '../../reuse-content/_enterprise-features.md'; - - - This guide explains how to quickly deploy TapData services on a Windows platform. :::tip -Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high-availability deployment](../../administration/production-deploy/install-tapdata-ha.md). +Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high-availability deployment](../../../administration/production-deploy/install-tapdata-ha.md). ::: @@ -21,7 +17,7 @@ Stand-alone deployment is suitable for functional testing scenarios. For product ## Preparation -1. [Install MongoDB](../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. +1. [Install MongoDB](../../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. 2. Log in to the target device, install Java 1.8 and set environment variables. @@ -31,18 +27,18 @@ Stand-alone deployment is suitable for functional testing scenarios. For product 3. Click **Advanced System Settings** on the left, then click **Environment Variables**. - ![Select Environment Variables](../../images/select_system_env.png) + ![Select Environment Variables](../../../images/select_system_env.png) 4. In the dialog that appears, click **New** under **System Variables**, fill in the variable name and value, and click **OK**. - ![Add Variable](../../images/add_system_env.png) + ![Add Variable](../../../images/add_system_env.png) - **Variable Name**: `JAVA_HOME` - **Variable Value**: The installation path of JDK, for example, `C:\Program Files\Java\jdk1.8.0_202` 5. In the **System Variables** area, find and double-click the **Path** variable, then in the dialog that appears, add the following environment variables, and click **OK**. - ![Edit Variable](../../images/edit_system_env.png) + ![Edit Variable](../../../images/edit_system_env.png) - `%JAVA_HOME%\bin` - `%JAVA_HOME%\jre\bin` @@ -151,4 +147,4 @@ This example uses Windows Server 2019 to demonstrate the deployment process. ## Next Steps -[Connect to Databases](../../quick-start/connect-database.md) \ No newline at end of file +[Connect to Databases](../../connect-data-source.md) \ No newline at end of file diff --git a/docs/installation/install-tapdata-enterprise/install-tapdata-stand-alone.md b/docs/getting-started/install-and-setup/install-enterprise-edition/install-tapdata-stand-alone.md similarity index 89% rename from docs/installation/install-tapdata-enterprise/install-tapdata-stand-alone.md rename to docs/getting-started/install-and-setup/install-enterprise-edition/install-tapdata-stand-alone.md index b0f4911f..64ee4139 100644 --- a/docs/installation/install-tapdata-enterprise/install-tapdata-stand-alone.md +++ b/docs/getting-started/install-and-setup/install-enterprise-edition/install-tapdata-stand-alone.md @@ -1,14 +1,10 @@ # Install on Linux -import Content from '../../reuse-content/_enterprise-features.md'; - - - This document explains how to quickly deploy TapData service on a Linux platform. :::tip -Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high availability deployment](../../administration/production-deploy/install-tapdata-ha.md). +Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high availability deployment](../../../administration/production-deploy/install-tapdata-ha.md). ::: @@ -43,7 +39,7 @@ This guide uses CentOS 7 as an example to demonstrate the deployment process. yum -y install java-1.8.0-openjdk ``` - 2. [Install MongoDB](../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. + 2. [Install MongoDB](../../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. 3. Download the TapData installation package (contact us at [team@tapdata.io](mailto:team@tapdata.io) to obtain it) and upload it to the target device. @@ -124,16 +120,16 @@ This guide uses CentOS 7 as an example to demonstrate the deployment process. 7. Log in to the TapData platform through a browser. The login address for this machine is [http://127.0.0.1:3030](http://127.0.0.1:3030). -Please change your password promptly upon first login to ensure security. + Please change your password promptly upon first login to ensure security. -:::tip + :::tip -If you need to access the TapData service from other devices in the same network, ensure network interoperability. + If you need to access the TapData service from other devices in the same network, ensure network interoperability. -::: + ::: ## Next Steps -[Connect to Databases](../../quick-start/connect-database.md) \ No newline at end of file +[Connect to Databases](../../connect-data-source.md) \ No newline at end of file diff --git a/docs/quick-start/install.md b/docs/getting-started/install.md similarity index 84% rename from docs/quick-start/install.md rename to docs/getting-started/install.md index 0fd4085d..1c8add12 100644 --- a/docs/quick-start/install.md +++ b/docs/getting-started/install.md @@ -19,16 +19,16 @@ TapData offers various deployment options to cater to diverse needs, from quick 1. Visit [TapData Cloud](https://cloud.tapdata.io/console/v3/) and sign up for free. 2. Log in to your account to access your shared TapData Agent. 3. Follow these quick guides to explore TapData’s features: - - **[Connect a Data Source](connect-database.md)**: Link your databases or data sources to the TapData platform. - - **[Create Your First Data Pipeline](connect-database.md)**: Start syncing or transforming data in real time. + - **[Connect a Data Source](connect-data-source.md)**: Link your databases or data sources to the TapData platform. + - **[Create Your First Data Pipeline](connect-data-source.md)**: Start syncing or transforming data in real time. ## More Deployment Options If your project requires more control or custom setups, TapData has you covered with additional deployment methods tailored to your needs: -- **[TapData Enterprise](../installation/install-tapdata-enterprise/README.md)** +- **[TapData Enterprise](install-and-setup/install-enterprise-edition/README.md)** Designed for organizations with strict data governance and security requirements, TapData Enterprise is ideal for industries like finance, government, or large enterprises. Deploy TapData in your own data center to ensure full control over your data. -- **[TapData Community](../installation/install-tapdata-community.md)** +- **[TapData Community](install-and-setup/install-community-edition.md)** An open-source version of TapData, perfect for small projects or technical teams. Quickly deploy via Docker to access core data synchronization and transformation capabilities, with the option to upgrade to Enterprise or Cloud for additional features. ## See also diff --git a/docs/getting-started/publish-imv-as-api.md b/docs/getting-started/publish-imv-as-api.md new file mode 100644 index 00000000..dcf75d49 --- /dev/null +++ b/docs/getting-started/publish-imv-as-api.md @@ -0,0 +1 @@ +# Publish Result as APIs--TBD \ No newline at end of file diff --git a/docs/installation/README.md b/docs/installation/README.md deleted file mode 100644 index 9f4d539f..00000000 --- a/docs/installation/README.md +++ /dev/null @@ -1,25 +0,0 @@ -# Installation - -import Content from '../reuse-content/_all-features.md'; - - - -TapData offers three deployment modes, **Cloud** , **Enterprise** and **Community**, to meet your diversified needs: - -| Product | Applicable Scenarios | -|-----------------|----------------------------------------------------------------------| -| [TapData Cloud](install-tapdata-agent.md) | Sign up for a [TapData Cloud](https://cloud.tapdata.net/console/v3/) account for use. Suitable for scenarios requiring rapid deployment and low initial investment, helping you focus more on business development rather than infrastructure management. | -| [TapData Enterprise](install-tapdata-enterprise/README.md) | Supports deployment to local data centers. Suitable for scenarios with strict requirements on data sensitivity or network isolation, such as financial institutions, government departments, or large enterprises that want full control over their data. | -| [TapData Community](install-tapdata-community.md) | An [open-source](https://github.com/tapdata/tapdata) data integration platform that provides basic data synchronization and transformation capabilities. This helps you quickly explore and implement data integration projects. As your project or business grows, you can seamlessly upgrade to TapData Cloud or TapData Enterprise to access more advanced features and service support. | - -:::tip - -For more information, see [Edition Comparison](../introduction/compare-editions.md). - -::: - -Follow the docs below to deploy TapData: - -import DocCardList from '@theme/DocCardList'; - - diff --git a/docs/installation/install-tapdata-agent.md b/docs/installation/install-tapdata-agent.md index 8ee04418..287e42ce 100644 --- a/docs/installation/install-tapdata-agent.md +++ b/docs/installation/install-tapdata-agent.md @@ -154,7 +154,7 @@ Next, let's create a free Agent instance. ## Next step -[Connect Data Sources](../quick-start/connect-database.md) +[Connect Data Sources](../getting-started/connect-data-source.md) ## See also diff --git a/docs/introduction/change-data-capture-mechanism.md b/docs/introduction/change-data-capture-mechanism.md index a0ce4c44..d2f4c396 100644 --- a/docs/introduction/change-data-capture-mechanism.md +++ b/docs/introduction/change-data-capture-mechanism.md @@ -30,7 +30,7 @@ binlog_format = row binlog_row_image = full ``` -After completing [permission granting and data source connection](../prerequisites/on-prem-databases/mysql.md), you can configure it as a data source in Tapdata's task configuration to achieve full and incremental data synchronization (default). +After completing [permission granting and data source connection](../connectors/on-prem-databases/mysql.md), you can configure it as a data source in Tapdata's task configuration to achieve full and incremental data synchronization (default). ![Select Data Sync Type](..//images/select_sync_type.png) @@ -39,7 +39,7 @@ After completing [permission granting and data source connection](../prerequisit For Oracle and Db2 data sources, Tapdata provides raw log parsing capability in addition to the traditional LogMiner-based CDC. This approach directly parses the native binary log files, achieving more efficient event capture with higher collection performance (Records Per Second, RPS, over 20,000), and reduces the impact on the source database. -This solution requires the additional installation of a log parsing plugin. For example, with Oracle, after [contacting Tapdata technical support](../appendix/support.md) to complete the plugin deployment, you can choose the log plugin as **bridge** when [configuring the Oracle connection](../prerequisites/on-prem-databases/oracle.md). Then, fill in the IP address of the raw log service, with the default service port of **8190**. +This solution requires the additional installation of a log parsing plugin. For example, with Oracle, after [contacting Tapdata technical support](../appendix/support.md) to complete the plugin deployment, you can choose the log plugin as **bridge** when [configuring the Oracle connection](../connectors/on-prem-databases/oracle.md). Then, fill in the IP address of the raw log service, with the default service port of **8190**. ![Set Raw Log Plugin](..//images/raw_log_configuration.png) @@ -55,7 +55,7 @@ For example, in MySQL, suppose there is a table `orders` where the `last_updated SELECT * FROM orders WHERE last_updated > '2024-06-01 00:00:00'; ``` -After completing [permission granting and data source connection](../prerequisites/on-prem-databases/mysql.md), you can set the incremental synchronization method to **Polling** for the source node and select the target field (`last_updated`) in Tapdata when [configuring the data transformation task](../user-guide/data-development/create-task.md). +After completing [permission granting and data source connection](../connectors/on-prem-databases/mysql.md), you can set the incremental synchronization method to **Polling** for the source node and select the target field (`last_updated`) in Tapdata when [configuring the data transformation task](../user-guide/data-development/create-task.md). ![Select Field Polling](..//images/obtain_cdc_via_polling.png) @@ -142,7 +142,7 @@ This method is not optimal and increases maintenance costs, so Tapdata does not * Q: Which data sources does Tapdata support CDC capture for? - A: Please refer to the tables in [Supported Data Sources](../prerequisites/supported-databases.md). If incremental data is supported as a data source, CDC information can be obtained. + A: Please refer to the tables in [Supported Data Sources](../connectors/supported-data-sources.md). If incremental data is supported as a data source, CDC information can be obtained. * Q: If my data source supports CDC, how do I choose the CDC collection method? diff --git a/docs/introduction/compare-editions.md b/docs/introduction/compare-editions.md index 6863edc0..00a8f672 100644 --- a/docs/introduction/compare-editions.md +++ b/docs/introduction/compare-editions.md @@ -88,7 +88,7 @@ Building on the free offerings of TapData Community for developers, TapData Ente Basic Features - Deployment Method + Deployment Method Local Register and Use Local @@ -100,13 +100,13 @@ Building on the free offerings of TapData Community for developers, TapData Ente ➖ - Data Source Connection Management + Data Source Connection Management ✅ ✅ ✅ - Supported Databases + Supported Databases 100+ 100+ 16 diff --git a/docs/introduction/features.md b/docs/introduction/features.md index 78cfe7d4..b2e637dc 100644 --- a/docs/introduction/features.md +++ b/docs/introduction/features.md @@ -32,5 +32,5 @@ With TapData's [Real-Time Data Hub](../user-guide/real-time-data-hub/daas-mode/e ## Supported sources and targets -TapData supports mainstream databases, including commercial databases, open-source databases, cloud databases, SaaS platform data sources, file data sources, and allows for custom data sources. For more information, see [Supported Data Sources](../prerequisites/supported-databases.md). +TapData supports mainstream databases, including commercial databases, open-source databases, cloud databases, SaaS platform data sources, file data sources, and allows for custom data sources. For more information, see [Supported Data Sources](../connectors/supported-data-sources.md). diff --git a/docs/introduction/use-cases.md b/docs/introduction/use-cases.md index 386b24f8..f04da70b 100644 --- a/docs/introduction/use-cases.md +++ b/docs/introduction/use-cases.md @@ -12,7 +12,7 @@ Traditional master data management retrieves source data from business systems i TapData offers a one-stop real-time data synchronization experience, enabling you to build complete data collection and flow pipelines in just a few steps, with the following advantages: -* Supports a rich array of [data sources](../prerequisites/supported-databases.md) for data synchronization between homogeneous/heterogeneous data sources. +* Supports a rich array of [data sources](../connectors/supported-data-sources.md) for data synchronization between homogeneous/heterogeneous data sources. * Supports event-triggered data processing logic and multiple data verification methods to ensure high reliability and low latency. * Enables deduplication, rule judgment, and other master data governance functions through powerful UDF capabilities. * Supports low-code [API services](../user-guide/data-service/README.md) deployment for end-to-end data consumption. diff --git a/docs/mcp/introduction.md b/docs/mcp/introduction.md index 93b7ea37..32a92515 100644 --- a/docs/mcp/introduction.md +++ b/docs/mcp/introduction.md @@ -27,7 +27,7 @@ To address these challenges, Tapdata provides the MCP service. It uses a standar - **Secure Access with Trusted, Controlled Context** Supports field-level [masking](../user-guide/advanced-settings/custom-node.md) and [role-based](../user-guide/manage-system/manage-role.md) permissions. Combined with real-time sync and incremental updates, it ensures AI models access only fresh, authorized data during inference. - **Connect 100+ Data Sources with a Single MCP** - One MCP instance can connect to [over 100 heterogeneous data sources](../prerequisites/supported-databases.md), including major databases and SaaS platforms—breaking data silos and providing a unified foundation for context-aware AI. + One MCP instance can connect to [over 100 heterogeneous data sources](../connectors/supported-data-sources.md), including major databases and SaaS platforms—breaking data silos and providing a unified foundation for context-aware AI. - **Built for LLM Agents with Seamless Integration** Offers standardized SSE support and no-code [REST API](../user-guide/data-service/README.md) setup, fully compatible with tools like Cursor, Claude, and other popular agent frameworks—bridging enterprise data and AI with ease. diff --git a/docs/mcp/quick-start.md b/docs/mcp/quick-start.md index 76a9328e..1d231c9a 100644 --- a/docs/mcp/quick-start.md +++ b/docs/mcp/quick-start.md @@ -8,7 +8,7 @@ This guide walks you through enabling the [MCP (Model Context Protocol) service] ## Prerequisites -- Requires Tapdata Enterprise or Community Edition to be [deployed](../quick-start/install.md). +- Requires Tapdata Enterprise or Community Edition to be [deployed](../getting-started/install.md). - You have an AI model service or tool that supports MCP with SSE protocol (e.g., Cursor or Trae). ## Step 1: Set Up User and Get Access Code diff --git a/docs/prerequisites/README.md b/docs/prerequisites/README.md deleted file mode 100644 index ee2b4aab..00000000 --- a/docs/prerequisites/README.md +++ /dev/null @@ -1,11 +0,0 @@ -# Preparation - -import Content from '../reuse-content/_all-features.md'; - - - -TapData supports nearly a hundred [diverse data sources](supported-databases.md), including commercial databases, open-source databases, cloud databases, data warehouses, data lakes, message queues, SaaS platforms, files, and custom data sources. - -import DocCardList from '@theme/DocCardList'; - - diff --git a/docs/quick-start/connect-database.md b/docs/quick-start/connect-database.md deleted file mode 100644 index fa3f13f5..00000000 --- a/docs/quick-start/connect-database.md +++ /dev/null @@ -1,62 +0,0 @@ -# Step 2: Connect Data Sources - -import Content from '../reuse-content/_all-features.md'; - - - -Once you have [installed the Agent](install.md), you need to connect the Agent to the data sources through TapData, and you can create a data pipeline once the connection has been established. - -:::tip - -Before connecting to the data sources, you also need to ensure that the network environment is accessed properly and complete the authorization of the database account. For more information, see [Preparation](../prerequisites/README.md). - -::: - -## Procedure - -1. [Log in to TapData Platform](../user-guide/log-in.md). - -2. In the left navigation panel, click **Connections**. - -3. On the right side of the page, click on **Create**. A dialog box will appear, where you can select the desired data source to establish a connection with. - - ![Connection Demo](../images/connect_database_demo.png) - -4. After being redirected to the connection configuration page, proceed to fill in the required data source connection information. - - On the right panel of the page, you will find helpful information and guidance regarding the configuration of the connection. - - :::tip - - The operation process will be demonstrated using MySQL as an example. For more examples, see [Connect Data Sources](../prerequisites/README.md). - - ::: - - ![Connection configuration example](../images/mysql_connection_demo.png) - - * **Connection name**: Enter a unique name that holds business significance. - * **Connection type**: Select Source, Target, or Source&Target. - * **Host**: The database connection address. - * **Port**: The service port of database. - * **Database**: database name, a connection corresponding to a database, if there are multiple databases, you need to create multiple connections. - * **username**: Enter database server username. - * **Password**: The database password. - * **Connection Parameter String**: Additional connection parameters, default empty. - * **timezone**: Defaults to the time zone used by the database, which you can also manually specify according to your business needs. - * **Contain table**: The default option is **All**, but you also have the choice to select **Custom** and specify the included tables. If there are multiple tables, separate them by commas (,) when filling in the table names. - * **Exclude tables**: Once you have enabled the switch, you can configure the tables to be excluded by specifying their names, separated by commas (,) if there are multiple tables. - * **Agent settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. - -5. Click **Connection Test** at the bottom of the page, and when passed the check, click **Save**. - - :::tip - - If the connection test fails, follow the prompts on the page to fix it. - - ::: - - - -## Next step - -[Create a Data Pipeline](create-task.md) \ No newline at end of file diff --git a/docs/release-notes/release-notes-cloud.md b/docs/release-notes/release-notes-cloud.md index 459498ad..56a42ef6 100644 --- a/docs/release-notes/release-notes-cloud.md +++ b/docs/release-notes/release-notes-cloud.md @@ -22,7 +22,7 @@ import TabItem from '@theme/TabItem'; #### New Features - The [Cluster Overview](../user-guide/workshop.md) page on the homepage now displays task distribution by node, helping you better understand cluster workload. -- [OceanBase (MySQL Mode)](../prerequisites/on-prem-databases/oceanbase.md), [OceanBase (Oracle Mode)](../prerequisites/on-prem-databases/oceanbase-oracle.md), and [GaussDB (DWS)](../prerequisites/warehouses-and-lake/gaussdb.md) have passed Tapdata certification and are now classified as [Certified Data Sources](../prerequisites/supported-databases.md), offering enhanced features and improved production-level stability. +- [OceanBase (MySQL Mode)](../connectors/on-prem-databases/oceanbase.md), [OceanBase (Oracle Mode)](../connectors/on-prem-databases/oceanbase-oracle.md), and [GaussDB (DWS)](../connectors/warehouses-and-lake/gaussdb.md) have passed Tapdata certification and are now classified as [Certified Data Sources](../connectors/supported-data-sources.md), offering enhanced features and improved production-level stability. - Data replication tasks now support writing multiple tables to the same Kafka topic, expanding compatibility with more write scenarios. #### Enhancements @@ -37,15 +37,15 @@ import TabItem from '@theme/TabItem'; #### New Features -- Added support for syncing tables with auto-increment primary keys in [SQL Server](../prerequisites/on-prem-databases/sqlserver.md). -- Added support for syncing default values and foreign keys in [PostgreSQL](../prerequisites/on-prem-databases/postgresql.md) to SQL Server sync scenarios. +- Added support for syncing tables with auto-increment primary keys in [SQL Server](../connectors/on-prem-databases/sqlserver.md). +- Added support for syncing default values and foreign keys in [PostgreSQL](../connectors/on-prem-databases/postgresql.md) to SQL Server sync scenarios. ### 2025-03-19 #### New Features -- Added support for synchronizing **column default values**, **auto-increment columns**, and **foreign key constraints** in [MySQL](../prerequisites/on-prem-databases/mysql.md)-to-MySQL, [PostgreSQL](../prerequisites/on-prem-databases/postgresql.md)-to-PostgreSQL, and [SQL Server](../prerequisites/on-prem-databases/sqlserver.md)-to-PostgreSQL scenarios, ensuring data structure consistency. -- Enabled foreign key constraint synchronization in [Sybase](../prerequisites/on-prem-databases/sybase.md)-to-PostgreSQL tasks, further enhancing data consistency. +- Added support for synchronizing **column default values**, **auto-increment columns**, and **foreign key constraints** in [MySQL](../connectors/on-prem-databases/mysql.md)-to-MySQL, [PostgreSQL](../connectors/on-prem-databases/postgresql.md)-to-PostgreSQL, and [SQL Server](../connectors/on-prem-databases/sqlserver.md)-to-PostgreSQL scenarios, ensuring data structure consistency. +- Enabled foreign key constraint synchronization in [Sybase](../connectors/on-prem-databases/sybase.md)-to-PostgreSQL tasks, further enhancing data consistency. - Enhanced the **[primary-secondary merge node](../user-guide/data-development/process-node.md#pri-sec-merged)** functionality to allow subsequent connections with other processing nodes (including JS nodes), improving workflow flexibility. #### Enhancements @@ -70,7 +70,7 @@ import TabItem from '@theme/TabItem'; #### New Features -- Added support for the [Sybase to PostgreSQL](../prerequisites/on-prem-databases/sybase.md) sync scenario, now supporting synchronization of default values, enumerated types, and sequences. +- Added support for the [Sybase to PostgreSQL](../connectors/on-prem-databases/sybase.md) sync scenario, now supporting synchronization of default values, enumerated types, and sequences. - Enabled the ability to define a primary key for tables without a primary key when configuring [Primary-Secondary Merge Nodes](../user-guide/data-development/process-node.md#pri-sec-merged), ensuring data synchronization consistency and improving merge efficiency. #### Enhancements @@ -92,7 +92,7 @@ import TabItem from '@theme/TabItem'; #### New Features -- Enhanced [Sybase](../prerequisites/on-prem-databases/sybase.md)-to-PostgreSQL synchronization scenario, adding index migration and **sequence** synchronization features, further improving migration automation and ensuring sequence data consistency. +- Enhanced [Sybase](../connectors/on-prem-databases/sybase.md)-to-PostgreSQL synchronization scenario, adding index migration and **sequence** synchronization features, further improving migration automation and ensuring sequence data consistency. #### Feature Optimizations @@ -168,7 +168,7 @@ import TabItem from '@theme/TabItem'; #### New Features -- Added HTTPS connection support for [Elasticsearch data sources](../prerequisites/on-prem-databases/elasticsearch.md), enhancing data transmission security to meet more stringent data security and compliance requirements. +- Added HTTPS connection support for [Elasticsearch data sources](../connectors/on-prem-databases/elasticsearch.md), enhancing data transmission security to meet more stringent data security and compliance requirements. - Enabled support for synchronizing tables without primary keys by adding a hash field (default name: `_no_pk_hash`), ensuring data consistency and stable synchronization in non-primary key scenarios. #### Enhancements @@ -186,11 +186,11 @@ import TabItem from '@theme/TabItem'; #### New Features -* Kafka-Enhanced and TiDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../prerequisites/supported-databases.md), providing more advanced features and enhanced production stability. +* Kafka-Enhanced and TiDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), providing more advanced features and enhanced production stability. #### Enhancements -- Added a [Multi-threaded CT Table Polling](../prerequisites/on-prem-databases/sqlserver.md#advanced-settings) option to improve incremental data collection performance for SQL Server environments with a large number of tables (over 500), significantly increasing synchronization efficiency. +- Added a [Multi-threaded CT Table Polling](../connectors/on-prem-databases/sqlserver.md#advanced-settings) option to improve incremental data collection performance for SQL Server environments with a large number of tables (over 500), significantly increasing synchronization efficiency. - Optimized the cache management logic for processing nodes, enhancing resource usage efficiency and improving task execution speed. - Introduced an automatic retry mechanism for Oracle LogMiner errors caused by exceeding PGA limits, improving fault tolerance. @@ -205,7 +205,7 @@ import TabItem from '@theme/TabItem'; #### New Features -* Doris, ClickHouse, KingBaseES-R6, PostgreSQL, SQL Server, and MongoDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../prerequisites/supported-databases.md), providing more advanced features and enhanced production stability. +* Doris, ClickHouse, KingBaseES-R6, PostgreSQL, SQL Server, and MongoDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), providing more advanced features and enhanced production stability. * When using PostgreSQL as a source, it is now possible to specify the time point for incremental data in task settings. #### Enhancements @@ -222,7 +222,7 @@ import TabItem from '@theme/TabItem'; #### New Features -* MySQL has passed the TapData certification testing process, upgrading it to a [certified data source](../prerequisites/supported-databases.md), providing more comprehensive features and enhanced production stability. +* MySQL has passed the TapData certification testing process, upgrading it to a [certified data source](../connectors/supported-data-sources.md), providing more comprehensive features and enhanced production stability. * Added a [form-based mode](../user-guide/copy-data/quick-create-task.md) for building replication tasks, simplifying the task creation process and improving operational convenience. #### Enhancements @@ -237,9 +237,9 @@ import TabItem from '@theme/TabItem'; #### New Features -- Oracle, Dameng, and Db2 have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../prerequisites/supported-databases.md), offering richer features and higher production stability. +- Oracle, Dameng, and Db2 have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), offering richer features and higher production stability. - Added [traffic billing](../billing/billing-overview.md) feature for fully managed instances, supporting [traffic bill viewing and payment](../billing/renew-subscribe.md), enabling users to easily monitor traffic usage and manage bills conveniently. -- For [PostgreSQL](../prerequisites/on-prem-databases/postgresql.md) data sources, incremental data synchronization is now supported using the walminer plugin, catering to more use cases. +- For [PostgreSQL](../connectors/on-prem-databases/postgresql.md) data sources, incremental data synchronization is now supported using the walminer plugin, catering to more use cases. - Data replication tasks now support reading from multiple tables simultaneously, improving parallel processing capabilities and task execution efficiency. #### Enhancements @@ -273,7 +273,7 @@ import TabItem from '@theme/TabItem'; #### New Features -- Oracle, Kafka, and Db2 have completed the TapData certification testing process, upgraded to [GA-level data sources](../prerequisites/supported-databases.md), offering enhanced capabilities and production stability. +- Oracle, Kafka, and Db2 have completed the TapData certification testing process, upgraded to [GA-level data sources](../connectors/supported-data-sources.md), offering enhanced capabilities and production stability. - Added traffic billing view and payment features in the cloud version. #### Enhancements @@ -314,9 +314,9 @@ import TabItem from '@theme/TabItem'; #### New Features - Added a [Union Node](../user-guide/copy-data/process-node.md) to data replication tasks, enabling the merging (UNION) of multiple tables within the same database. This is useful for data integration and analysis scenarios. -- [Doris](../prerequisites/warehouses-and-lake/doris.md) data source now supports certificate-free HTTPS connections. +- [Doris](../connectors/warehouses-and-lake/doris.md) data source now supports certificate-free HTTPS connections. - MySQL, Oracle, OpenGauss, SQL Server, and PostgreSQL data sources now support enabling the **Hash Sharding** feature in the advanced settings of nodes during task configuration, significantly improving the full data sync speed for large tables. -- Added support for [VastBase](../prerequisites/on-prem-databases/vastbase.md) data source, with a maturity level of Beta, further enriching the variety of data sources. +- Added support for [VastBase](../connectors/on-prem-databases/vastbase.md) data source, with a maturity level of Beta, further enriching the variety of data sources. #### Enhancements @@ -364,7 +364,7 @@ import TabItem from '@theme/TabItem'; #### New Features -* Enhanced [TiDB](../prerequisites/on-prem-databases/tidb.md) data source capabilities with support for real-time incremental synchronization. +* Enhanced [TiDB](../connectors/on-prem-databases/tidb.md) data source capabilities with support for real-time incremental synchronization. #### Enhancements @@ -457,7 +457,7 @@ import TabItem from '@theme/TabItem'; #### New Features -* Added support for real-time log parsing of [TiDB data sources](../prerequisites/on-prem-databases/tidb.md), fulfilling incremental data synchronization needs. +* Added support for real-time log parsing of [TiDB data sources](../connectors/on-prem-databases/tidb.md), fulfilling incremental data synchronization needs. * During the full sync phase from Oracle to MySQL, support has been added for syncing unique and normal indexes that do not utilize functions. * Enhanced the task start process to include an option to skip errors encountered during the last run. @@ -479,7 +479,7 @@ import TabItem from '@theme/TabItem'; #### Enhancements -* To further enhance user experience, Beta and Alpha [data sources](../prerequisites/README.md) now require an application for use, allowing TapData to provide better technical support based on your business scenarios. +* To further enhance user experience, Beta and Alpha [data sources](../connectors/README.md) now require an application for use, allowing TapData to provide better technical support based on your business scenarios. #### Bug Fixes @@ -563,11 +563,11 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added [Azure Cosmos DB](../prerequisites/cloud-databases/azure-cosmos-db.md) as a new data source, enabling full data synchronization to facilitate quick cloud data transfers. +- Added [Azure Cosmos DB](../connectors/cloud-databases/azure-cosmos-db.md) as a new data source, enabling full data synchronization to facilitate quick cloud data transfers. ### Enhancements -- Upgraded data source connections, with [SQL Server](../prerequisites/on-prem-databases/sqlserver.md) now supporting SSL connections, enhancing data security. +- Upgraded data source connections, with [SQL Server](../connectors/on-prem-databases/sqlserver.md) now supporting SSL connections, enhancing data security. - Optimized field type adjustments in [data replication tasks](../user-guide/copy-data/create-task.md), allowing for direct selection of common types from the target database. - Improved task source node settings, enabling customization of the number of rows read per batch in the incremental phase, catering to performance needs of incremental synchronization. @@ -582,7 +582,7 @@ import TabItem from '@theme/TabItem'; ### New Features -* Support for loading table comments on [Oracle data sources](../prerequisites/on-prem-databases/oracle.md#advanced), which can be enabled in the **Advanced Settings** when configuring the data source. This makes it easier to quickly identify the business meaning of tables through their comments. +* Support for loading table comments on [Oracle data sources](../connectors/on-prem-databases/oracle.md#advanced), which can be enabled in the **Advanced Settings** when configuring the data source. This makes it easier to quickly identify the business meaning of tables through their comments. * In the task [monitoring page](../user-guide/copy-data/monitor-task.md), support viewing RPS (Records Per Second) information based on the size of events. ### Enhancements @@ -603,7 +603,7 @@ import TabItem from '@theme/TabItem'; ### Enhancements -- Enhanced [Data Source Connection](../prerequisites/README.md) methods, supporting SSL connections for data sources like MySQL, PostgreSQL, Kafka, TiDB, MariaDB, etc., to further enhance data security. +- Enhanced [Data Source Connection](../connectors/README.md) methods, supporting SSL connections for data sources like MySQL, PostgreSQL, Kafka, TiDB, MariaDB, etc., to further enhance data security. - Improved user interface interaction logic. - To better manage data duplication for updates on non-primary keys, TapData Cloud now supports creating unique indexes. diff --git a/docs/release-notes/release-notes-community.md b/docs/release-notes/release-notes-community.md index 2a9aed38..284af3c0 100644 --- a/docs/release-notes/release-notes-community.md +++ b/docs/release-notes/release-notes-community.md @@ -11,7 +11,7 @@ This document introduces the recent release notes for TapData Community. For mor ### New Features - The [Cluster Overview](../user-guide/workshop.md) page on the homepage now displays task distribution by node, helping you better understand cluster workload. -- [OceanBase (MySQL Mode)](../prerequisites/on-prem-databases/oceanbase.md), and [GaussDB (DWS)](../prerequisites/warehouses-and-lake/gaussdb.md) have passed Tapdata certification and are now classified as [Certified Data Sources](../prerequisites/supported-databases.md), offering enhanced features and improved production-level stability. +- [OceanBase (MySQL Mode)](../connectors/on-prem-databases/oceanbase.md), and [GaussDB (DWS)](../connectors/warehouses-and-lake/gaussdb.md) have passed Tapdata certification and are now classified as [Certified Data Sources](../connectors/supported-data-sources.md), offering enhanced features and improved production-level stability. - Data replication tasks now support writing multiple tables to the same Kafka topic, expanding compatibility with more write scenarios. ### Enhancements @@ -26,13 +26,13 @@ This document introduces the recent release notes for TapData Community. For mor ### New Features -- Added support for syncing default values and foreign keys in [PostgreSQL](../prerequisites/on-prem-databases/postgresql.md) to SQL Server sync scenarios. +- Added support for syncing default values and foreign keys in [PostgreSQL](../connectors/on-prem-databases/postgresql.md) to SQL Server sync scenarios. ## 3.25.0 ### New Features -- Added support for synchronizing **column default values**, **auto-increment columns**, and **foreign key constraints** in [MySQL](../prerequisites/on-prem-databases/mysql.md)-to-MySQL and [PostgreSQL](../prerequisites/on-prem-databases/postgresql.md)-to-PostgreSQL scenarios, ensuring data structure consistency. +- Added support for synchronizing **column default values**, **auto-increment columns**, and **foreign key constraints** in [MySQL](../connectors/on-prem-databases/mysql.md)-to-MySQL and [PostgreSQL](../connectors/on-prem-databases/postgresql.md)-to-PostgreSQL scenarios, ensuring data structure consistency. - Enhanced the **[primary-secondary merge node](../user-guide/data-development/process-node.md#pri-sec-merged)** functionality to allow subsequent connections with other processing nodes (including JS nodes), improving workflow flexibility. ### Enhancements @@ -131,7 +131,7 @@ This document introduces the recent release notes for TapData Community. For mor ### New Features -- Added HTTPS connection support for [Elasticsearch data sources](../prerequisites/on-prem-databases/elasticsearch.md), enhancing data transmission security to meet more stringent data security and compliance requirements. +- Added HTTPS connection support for [Elasticsearch data sources](../connectors/on-prem-databases/elasticsearch.md), enhancing data transmission security to meet more stringent data security and compliance requirements. - Enabled support for synchronizing tables without primary keys by adding a hash field (default name: `_no_pk_hash`), ensuring data consistency and stable synchronization in non-primary key scenarios. ### Enhancements @@ -148,7 +148,7 @@ This document introduces the recent release notes for TapData Community. For mor ### New Features -* Kafka-Enhanced and TiDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../prerequisites/supported-databases.md), providing more advanced features and enhanced production stability. +* Kafka-Enhanced and TiDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), providing more advanced features and enhanced production stability. ### Enhancements @@ -165,7 +165,7 @@ This document introduces the recent release notes for TapData Community. For mor ### New Features -* Doris, ClickHouse, PostgreSQL, and MongoDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../prerequisites/supported-databases.md), providing more advanced features and enhanced production stability. +* Doris, ClickHouse, PostgreSQL, and MongoDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), providing more advanced features and enhanced production stability. * When using PostgreSQL as a source, it is now possible to specify the time point for incremental data in task settings. ### Enhancements @@ -182,7 +182,7 @@ This document introduces the recent release notes for TapData Community. For mor ### New Features -* MySQL has passed the TapData certification testing process, upgrading it to a [certified data source](../prerequisites/supported-databases.md), providing more comprehensive features and enhanced production stability. +* MySQL has passed the TapData certification testing process, upgrading it to a [certified data source](../connectors/supported-data-sources.md), providing more comprehensive features and enhanced production stability. ### Bug Fixes @@ -192,8 +192,8 @@ This document introduces the recent release notes for TapData Community. For mor ### New Features -- Dameng have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../prerequisites/supported-databases.md), offering richer features and higher production stability. -- For [PostgreSQL](../prerequisites/on-prem-databases/postgresql.md) data sources, incremental data synchronization is now supported using the walminer plugin, catering to more use cases. +- Dameng have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), offering richer features and higher production stability. +- For [PostgreSQL](../connectors/on-prem-databases/postgresql.md) data sources, incremental data synchronization is now supported using the walminer plugin, catering to more use cases. - Data replication tasks now support reading from multiple tables simultaneously, improving parallel processing capabilities and task execution efficiency. ### Feature Enhancements @@ -240,9 +240,9 @@ This document introduces the recent release notes for TapData Community. For mor ### New Features - Added a [Union Node](../user-guide/copy-data/process-node.md#union-node) to data replication tasks, enabling the merging (UNION) of multiple tables within the same database. This is useful for data integration and analysis scenarios. -- [Doris](../prerequisites/warehouses-and-lake/doris.md) data source now supports certificate-free HTTPS connections. +- [Doris](../connectors/warehouses-and-lake/doris.md) data source now supports certificate-free HTTPS connections. - MySQL, Oracle, OpenGauss, SQL Server, and PostgreSQL data sources now support enabling the **Hash Sharding** feature in the advanced settings of nodes during task configuration, significantly improving the full data sync speed for large tables. -- Added support for [VastBase](../prerequisites/on-prem-databases/vastbase.md) data source, with a maturity level of Beta, further enriching the variety of data sources. +- Added support for [VastBase](../connectors/on-prem-databases/vastbase.md) data source, with a maturity level of Beta, further enriching the variety of data sources. ### Enhancements diff --git a/docs/release-notes/release-notes-on-prem.md b/docs/release-notes/release-notes-on-prem.md index 9a6ea1e6..aa7ebb9b 100644 --- a/docs/release-notes/release-notes-on-prem.md +++ b/docs/release-notes/release-notes-on-prem.md @@ -54,7 +54,7 @@ import TabItem from '@theme/TabItem'; * Introduced [Tapdata MCP (Model Context Protocol)](../mcp/introduction.md), enabling integration of multi-source data into real-time contextual views consumable by LLMs and AI Agents. This feature is ideal for scenarios with high demands on data freshness and compliance, such as financial risk control. * Added support for using **StarRocks** as a target database, allowing faster construction of real-time data warehouses for high-concurrency, multi-dimensional analytics use cases. -* Added the ability to choose from multiple data structures(e.g. Flink) when syncing to **[Kafka-Enhanced](../prerequisites/mq-and-middleware/kafka-enhanced.md)**, enhancing compatibility and integration efficiency with downstream systems. +* Added the ability to choose from multiple data structures(e.g. Flink) when syncing to **[Kafka-Enhanced](../connectors/mq-and-middleware/kafka-enhanced.md)**, enhancing compatibility and integration efficiency with downstream systems. ### Enhancements @@ -76,7 +76,7 @@ import TabItem from '@theme/TabItem'; ### New Features - The [Cluster Overview](../user-guide/workshop.md) page on the homepage now displays task distribution by node, helping you better understand cluster workload. -- [OceanBase (MySQL Mode)](../prerequisites/on-prem-databases/oceanbase.md), [OceanBase (Oracle Mode)](../prerequisites/on-prem-databases/oceanbase-oracle.md), and [GaussDB (DWS)](../prerequisites/warehouses-and-lake/gaussdb.md) have passed Tapdata certification and are now classified as [Certified Data Sources](../prerequisites/supported-databases.md), offering enhanced features and improved production-level stability. +- [OceanBase (MySQL Mode)](../connectors/on-prem-databases/oceanbase.md), [OceanBase (Oracle Mode)](../connectors/on-prem-databases/oceanbase-oracle.md), and [GaussDB (DWS)](../connectors/warehouses-and-lake/gaussdb.md) have passed Tapdata certification and are now classified as [Certified Data Sources](../connectors/supported-data-sources.md), offering enhanced features and improved production-level stability. - Data replication tasks now support writing multiple tables to the same Kafka topic, expanding compatibility with more write scenarios. ### Enhancements @@ -91,8 +91,8 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added support for syncing tables with auto-increment primary keys in [SQL Server](../prerequisites/on-prem-databases/sqlserver.md). -- Added support for syncing default values and foreign keys in [PostgreSQL](../prerequisites/on-prem-databases/postgresql.md) to SQL Server sync scenarios. +- Added support for syncing tables with auto-increment primary keys in [SQL Server](../connectors/on-prem-databases/sqlserver.md). +- Added support for syncing default values and foreign keys in [PostgreSQL](../connectors/on-prem-databases/postgresql.md) to SQL Server sync scenarios. ### Enhancements @@ -102,8 +102,8 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added support for synchronizing **column default values**, **auto-increment columns**, and **foreign key constraints** in [MySQL](../prerequisites/on-prem-databases/mysql.md)-to-MySQL, [PostgreSQL](../prerequisites/on-prem-databases/postgresql.md)-to-PostgreSQL, and [SQL Server](../prerequisites/on-prem-databases/sqlserver.md)-to-PostgreSQL scenarios, ensuring data structure consistency. -- Enabled foreign key constraint synchronization in [Sybase](../prerequisites/on-prem-databases/sybase.md)-to-PostgreSQL tasks, further enhancing data consistency. +- Added support for synchronizing **column default values**, **auto-increment columns**, and **foreign key constraints** in [MySQL](../connectors/on-prem-databases/mysql.md)-to-MySQL, [PostgreSQL](../connectors/on-prem-databases/postgresql.md)-to-PostgreSQL, and [SQL Server](../connectors/on-prem-databases/sqlserver.md)-to-PostgreSQL scenarios, ensuring data structure consistency. +- Enabled foreign key constraint synchronization in [Sybase](../connectors/on-prem-databases/sybase.md)-to-PostgreSQL tasks, further enhancing data consistency. - Enhanced the **[primary-secondary merge node](../user-guide/data-development/process-node.md#pri-sec-merged)** functionality to allow subsequent connections with other processing nodes (including JS nodes), improving workflow flexibility. ### Enhancements @@ -134,7 +134,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added support for the [Sybase to PostgreSQL](../prerequisites/on-prem-databases/sybase.md) sync scenario, now supporting synchronization of default values, enumerated types, and sequences. +- Added support for the [Sybase to PostgreSQL](../connectors/on-prem-databases/sybase.md) sync scenario, now supporting synchronization of default values, enumerated types, and sequences. - Enabled the ability to define a primary key for tables without a primary key when configuring [Primary-Secondary Merge Nodes](../user-guide/data-development/process-node.md#pri-sec-merged), ensuring data synchronization consistency and improving merge efficiency. ### Enhancements @@ -161,7 +161,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- Enhanced [Sybase](../prerequisites/on-prem-databases/sybase.md)-to-PostgreSQL synchronization scenario, adding **index** migration and **sequence** synchronization features, further improving migration automation and ensuring sequence data consistency. +- Enhanced [Sybase](../connectors/on-prem-databases/sybase.md)-to-PostgreSQL synchronization scenario, adding **index** migration and **sequence** synchronization features, further improving migration automation and ensuring sequence data consistency. ### Feature Optimizations @@ -245,7 +245,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added HTTPS connection support for [Elasticsearch data sources](../prerequisites/on-prem-databases/elasticsearch.md), enhancing data transmission security to meet more stringent data security and compliance requirements. +- Added HTTPS connection support for [Elasticsearch data sources](../connectors/on-prem-databases/elasticsearch.md), enhancing data transmission security to meet more stringent data security and compliance requirements. - Enabled support for synchronizing tables without primary keys by adding a hash field (default name: `_no_pk_hash`), ensuring data consistency and stable synchronization in non-primary key scenarios. ### Enhancements @@ -263,11 +263,11 @@ import TabItem from '@theme/TabItem'; ### New Features -* Kafka-Enhanced and TiDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../prerequisites/supported-databases.md), providing more advanced features and enhanced production stability. +* Kafka-Enhanced and TiDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), providing more advanced features and enhanced production stability. ### Enhancements -- Added a [Multi-threaded CT Table Polling](../prerequisites/on-prem-databases/sqlserver.md#advanced-settings) option to improve incremental data collection performance for SQL Server environments with a large number of tables (over 500), significantly increasing synchronization efficiency. +- Added a [Multi-threaded CT Table Polling](../connectors/on-prem-databases/sqlserver.md#advanced-settings) option to improve incremental data collection performance for SQL Server environments with a large number of tables (over 500), significantly increasing synchronization efficiency. - Optimized the cache management logic for processing nodes, enhancing resource usage efficiency and improving task execution speed. - Introduced an automatic retry mechanism for Oracle LogMiner errors caused by exceeding PGA limits, improving fault tolerance. @@ -284,7 +284,7 @@ import TabItem from '@theme/TabItem'; ### New Features -* Doris, ClickHouse, KingBaseES-R6, PostgreSQL, SQL Server, and MongoDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../prerequisites/supported-databases.md), providing more advanced features and enhanced production stability. +* Doris, ClickHouse, KingBaseES-R6, PostgreSQL, SQL Server, and MongoDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), providing more advanced features and enhanced production stability. * Support for [user login authentication via LDAP](../user-guide/other-settings/system-settings.md#ldap) integration with Active Directory (AD), enabling unified user identity management. * When using PostgreSQL as a source, it is now possible to specify the time point for incremental data in task settings. @@ -304,7 +304,7 @@ import TabItem from '@theme/TabItem'; ### New Features -* MySQL has passed the TapData certification testing process, upgrading it to a [certified data source](../prerequisites/supported-databases.md), providing more comprehensive features and enhanced production stability. +* MySQL has passed the TapData certification testing process, upgrading it to a [certified data source](../connectors/supported-data-sources.md), providing more comprehensive features and enhanced production stability. ### Enhancements @@ -321,9 +321,9 @@ import TabItem from '@theme/TabItem'; ### New Features -- Oracle, Dameng, and Db2 have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../prerequisites/supported-databases.md), offering richer features and higher production stability. +- Oracle, Dameng, and Db2 have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), offering richer features and higher production stability. - When configuring [alert recipient email](../case-practices/best-practice/alert-via-qqmail.md), support for using proxy services has been added, allowing for timely alert notifications even in restricted network environments. -- For [PostgreSQL](../prerequisites/on-prem-databases/postgresql.md) data sources, incremental data synchronization is now supported using the walminer plugin, catering to more use cases. +- For [PostgreSQL](../connectors/on-prem-databases/postgresql.md) data sources, incremental data synchronization is now supported using the walminer plugin, catering to more use cases. - Data replication tasks now support reading from multiple tables simultaneously, improving parallel processing capabilities and task execution efficiency. - Added support for batch API publishing, simplifying multi-interface management and enhancing publishing efficiency. @@ -382,9 +382,9 @@ import TabItem from '@theme/TabItem'; - [Data Verification](../user-guide/verify-data.md) feature now allows downloading detailed discrepancy data from the verification task details page for in-depth analysis. - Added a [Union Node](../user-guide/copy-data/process-node.md#union-node) to data replication tasks, enabling the merging (UNION) of multiple tables within the same database. This is useful for data integration and analysis scenarios. -- [Doris](../prerequisites/warehouses-and-lake/doris.md) data source now supports certificate-free HTTPS connections. +- [Doris](../connectors/warehouses-and-lake/doris.md) data source now supports certificate-free HTTPS connections. - MySQL, Oracle, OpenGauss, SQL Server, and PostgreSQL data sources now support enabling the **Hash Sharding** feature in the advanced settings of nodes during task configuration, significantly improving the full data sync speed for large tables. -- Added support for [VastBase](../prerequisites/on-prem-databases/vastbase.md) data source, with a maturity level of Beta, further enriching the variety of data sources. +- Added support for [VastBase](../connectors/on-prem-databases/vastbase.md) data source, with a maturity level of Beta, further enriching the variety of data sources. ### Enhancements @@ -439,7 +439,7 @@ import TabItem from '@theme/TabItem'; ### New Features -* Enhanced [TiDB](../prerequisites/on-prem-databases/tidb.md) data source capabilities with support for real-time incremental synchronization. +* Enhanced [TiDB](../connectors/on-prem-databases/tidb.md) data source capabilities with support for real-time incremental synchronization. * [Data Validation](../user-guide/verify-data.md) now supports automatic difference checking, allowing real-time tasks to automatically perform difference checks based on incremental delay. ### Enhancements @@ -534,7 +534,7 @@ import TabItem from '@theme/TabItem'; ### New Features * Support for [assigning labels](../user-guide/manage-system/manage-cluster.md) to **sync governance services** (Agents), allowing for subsequent assignment of tasks to agents with specific labels. -* Supported real-time log parsing for [TiDB data sources](../prerequisites/on-prem-databases/tidb.md), meeting the needs for incremental data synchronization. +* Supported real-time log parsing for [TiDB data sources](../connectors/on-prem-databases/tidb.md), meeting the needs for incremental data synchronization. * During the full synchronization phase from Oracle to MySQL, support for syncing unique indexes and regular indexes that do not utilize functions. * Added the ability to skip errors encountered during the last run when starting tasks. @@ -587,7 +587,7 @@ import TabItem from '@theme/TabItem'; ### New Features - [Shared Mining](../user-guide/advanced-settings/share-mining.md) functionality supports using RocksDB as local external storage for incremental log storage expansion. -- [TDengine Connector](../prerequisites/on-prem-databases/tdengine.md) supports using multiple databases as incremental sources. +- [TDengine Connector](../connectors/on-prem-databases/tdengine.md) supports using multiple databases as incremental sources. ### Enhancements @@ -629,11 +629,11 @@ import TabItem from '@theme/TabItem'; ### New Features -- Newly supports [Azure Cosmos DB](../prerequisites/cloud-databases/azure-cosmos-db.md) as a data source, capable of synchronizing full data from the source to help facilitate rapid data flow in the cloud. +- Newly supports [Azure Cosmos DB](../connectors/cloud-databases/azure-cosmos-db.md) as a data source, capable of synchronizing full data from the source to help facilitate rapid data flow in the cloud. ### Enhancements -- Enhanced data source connection methods, [SQL Server](../prerequisites/on-prem-databases/sqlserver.md) supports SSL connections to further enhance data security. +- Enhanced data source connection methods, [SQL Server](../connectors/on-prem-databases/sqlserver.md) supports SSL connections to further enhance data security. - Optimized the method of adjusting field types in [data replication tasks](../user-guide/copy-data/create-task.md); in addition to manual input, it now supports direct selection of common types from the target database. - For the source node settings of the task, supports setting the number of records read per batch during the incremental phase to better meet the performance requirements of incremental synchronization. @@ -646,8 +646,8 @@ import TabItem from '@theme/TabItem'; ### New Features -- Supports loading table comments for [Oracle data sources](../prerequisites/on-prem-databases/oracle.md#advanced), which can be enabled in the advanced options during data source configuration, allowing quick identification of tables' business meanings through comments. -- Supports deployment of TapData on [Windows platform](../installation/install-tapdata-enterprise/install-on-windows.md), further expanding the range of supported deployment platforms. +- Supports loading table comments for [Oracle data sources](../connectors/on-prem-databases/oracle.md#advanced), which can be enabled in the advanced options during data source configuration, allowing quick identification of tables' business meanings through comments. +- Supports deployment of TapData on [Windows platform](../getting-started/install-and-setup/install-enterprise-edition/install-on-windows.md), further expanding the range of supported deployment platforms. - In the task operation [monitoring page](../user-guide/copy-data/monitor-task.md), supports viewing RPS (Records Per Second) information based on the dimension of event size. ### Bug Fixes @@ -659,7 +659,7 @@ import TabItem from '@theme/TabItem'; ### Enhancements -- Optimized [data source connections](../prerequisites/README.md), with MySQL, PostgreSQL, Kafka, TiDB, MariaDB, etc., supporting SSL connections to further enhance data security. +- Optimized [data source connections](../connectors/README.md), with MySQL, PostgreSQL, Kafka, TiDB, MariaDB, etc., supporting SSL connections to further enhance data security. - Enhanced the filtering function of [data verification](../user-guide/verify-data.md), supporting custom query and aggregation query filtering through SQL. - Optimized interface interaction logic. - For non-primary key update conditions, created a unique index to solve the problem of data duplication. @@ -752,7 +752,7 @@ import TabItem from '@theme/TabItem'; ## V3.3 ### New Features -- [Kafka data source](../prerequisites/mq-and-middleware/kafka.md) now supports custom message body formats. +- [Kafka data source](../connectors/mq-and-middleware/kafka.md) now supports custom message body formats. - Added the [API interface documentation export feature](../user-guide/data-service/create-api-service.md#release330-export-api) to help teams quickly establish and enhance API usage documents. - Shared mining functionality supports [configuring task alerts](../user-guide/advanced-settings/share-mining.md#release330-alert), allowing alerts via system notifications or emails for better task monitoring. - The [data validation function](../user-guide/verify-data.md) allows setting data filters, enabling validation of specific conditional data only, reducing validation scope and increasing efficiency. @@ -793,7 +793,7 @@ import TabItem from '@theme/TabItem'; - Improved interaction for tables without primary keys, e.g., [support for filtering non-primary key tables and adding primary key table identification](../user-guide/copy-data/create-task.md#310-table-model) when configuring data copy tasks. - For external storage configurations of MongoDB data sources, [connection testing capability](../user-guide/advanced-settings/manage-external-storage.md#320-external-storage) has been added. - When creating a new external storage and choosing MongoDB, it supports [using SSL connections](../user-guide/advanced-settings/manage-external-storage.md#320-external-storage). -- Creating an HttpReceiver data source now [supports script trial runs](../prerequisites/others/http-receiver.md) and [access authentication functionality](../prerequisites/others/http-receiver.md). +- Creating an HttpReceiver data source now [supports script trial runs](../connectors/others/http-receiver.md) and [access authentication functionality](../connectors/others/http-receiver.md). - Standard JS node capabilities adjusted, adding [Linked HashMap data structure](appendix/standard-js.md#linkedhashmap) and [context.global object](appendix/standard-js.md#global). - **Field editing** processing node's UI interaction has been improved. - Redundant prompts for task startup and schema reload have been optimized. diff --git a/docs/tapflow/api-reference/data-flow.md b/docs/tapflow/api-reference/data-flow.md index daf9a808..033d1a8c 100644 --- a/docs/tapflow/api-reference/data-flow.md +++ b/docs/tapflow/api-reference/data-flow.md @@ -271,7 +271,7 @@ source.enableDDL() :::tip -To enable DDL synchronization, the target database must also support DDL application. You can check the [list of supported data sources](../../prerequisites/supported-databases.md) for each database's support for DDL events. For more details, see [Best Practices for Handling Schema Changes](../../case-practices/best-practice/handle-schema-changes.md). +To enable DDL synchronization, the target database must also support DDL application. You can check the [list of supported data sources](../../connectors/supported-data-sources.md) for each database's support for DDL events. For more details, see [Best Practices for Handling Schema Changes](../../case-practices/best-practice/handle-schema-changes.md). ::: diff --git a/docs/tapflow/api-reference/data-source.md b/docs/tapflow/api-reference/data-source.md index 11da1469..bb12cde2 100644 --- a/docs/tapflow/api-reference/data-source.md +++ b/docs/tapflow/api-reference/data-source.md @@ -1,10 +1,10 @@ # Data Source APIs -This document explains how to create a new data source connection in TapFlow, which serves as the source and target for subsequent flow tasks. Additionally, you can manage data sources [through the interface](../../prerequisites/README.md) for convenience based on your preferences. +This document explains how to create a new data source connection in TapFlow, which serves as the source and target for subsequent flow tasks. Additionally, you can manage data sources [through the interface](../../connectors/README.md) for convenience based on your preferences. :::tip -TapFlow supports [dozens of common data sources](../../prerequisites/supported-databases.md). You can configure a data source by setting the `name`, `type`, and `config` parameters. Configuration details, required permissions, and parameter descriptions vary by data source type. For more information, see [Connect Data Sources](../../prerequisites/README.md). +TapFlow supports [dozens of common data sources](../../connectors/supported-data-sources.md). You can configure a data source by setting the `name`, `type`, and `config` parameters. Configuration details, required permissions, and parameter descriptions vary by data source type. For more information, see [Connect Data Sources](../../connectors/README.md). ::: diff --git a/docs/tapflow/quick-start.md b/docs/tapflow/quick-start.md index dd2fe5d6..4f8ba45e 100644 --- a/docs/tapflow/quick-start.md +++ b/docs/tapflow/quick-start.md @@ -178,7 +178,7 @@ Next, configure your data sources via TapShell. In this example, we’ll use MyS :::tip - - TapData supports [many popular data sources](../prerequisites/supported-databases.md), with slight configuration differences depending on the source. For more on permissions and parameters, see [Connecting Data Sources](../prerequisites/README.md). + - TapData supports [many popular data sources](../connectors/supported-data-sources.md), with slight configuration differences depending on the source. For more on permissions and parameters, see [Connecting Data Sources](../connectors/README.md). - If you receive a “**load schema status: error**” error, it’s typically a permission or configuration issue. Retrying with the same name will overwrite the previous configuration with “**database MongoDB_ECommerce exists, will update its config**.” ::: diff --git a/docs/user-guide/advanced-settings/manage-external-storage.md b/docs/user-guide/advanced-settings/manage-external-storage.md index 1cb063e5..eb3b9f2e 100644 --- a/docs/user-guide/advanced-settings/manage-external-storage.md +++ b/docs/user-guide/advanced-settings/manage-external-storage.md @@ -38,7 +38,7 @@ An external database intended for data storage has been created. Currently, Mong ## Use External Storage -You can enable the Shared Mining feature and select the recently configured external storage when [creating a connection](../../prerequisites/README.md), as shown in the example below: +You can enable the Shared Mining feature and select the recently configured external storage when [creating a connection](../../connectors/README.md), as shown in the example below: ![Select External Storage](../../images/select_external_storage.png) diff --git a/docs/user-guide/advanced-settings/share-mining.md b/docs/user-guide/advanced-settings/share-mining.md index 17a93deb..1c9f2a2c 100644 --- a/docs/user-guide/advanced-settings/share-mining.md +++ b/docs/user-guide/advanced-settings/share-mining.md @@ -8,13 +8,13 @@ To alleviate the pressure on the source database during increments, TapData supp ## Enable CDC Log Cache -You can enable CDC Log Cache when [creating a connection](../../prerequisites/README.md), which allows for the collection of the source database's incremental logs into external storage. Once enabled, these logs can be used by multiple tasks, eliminating the need for redundant reads of the source database's incremental logs. +You can enable CDC Log Cache when [creating a connection](../../connectors/README.md), which allows for the collection of the source database's incremental logs into external storage. Once enabled, these logs can be used by multiple tasks, eliminating the need for redundant reads of the source database's incremental logs. ![](../../images/enable_shared_mining.png) ## Use CDC Log Cache -Create a data transformation or data replication task. When the task contains incremental tasks and the data source has cached the CDC logs, you can use this feature in the task settings. For more introductions about task configuration, see [create data replication/transformation task](../../quick-start/create-task.md). +Create a data transformation or data replication task. When the task contains incremental tasks and the data source has cached the CDC logs, you can use this feature in the task settings. For more introductions about task configuration, see [create data replication/transformation task](../../getting-started/create-task.md). ![](../../images/create_shared_mining.png) diff --git a/docs/user-guide/copy-data/create-task.md b/docs/user-guide/copy-data/create-task.md index f4585f74..486f1a3c 100644 --- a/docs/user-guide/copy-data/create-task.md +++ b/docs/user-guide/copy-data/create-task.md @@ -12,8 +12,8 @@ This article explains the specific data replication process to help you quickly Before you create a data replication task, you need to perform the following preparations: -* [Install TapData](../../quick-start/install.md) -* [Connect to a Data Source](../../quick-start/connect-database.md) +* [Install TapData](../../getting-started/install.md) +* [Connect to a Data Source](../../getting-started/connect-data-source.md) ## Procedure diff --git a/docs/user-guide/copy-data/quick-create-task.md b/docs/user-guide/copy-data/quick-create-task.md index b1088385..5a6adc2e 100644 --- a/docs/user-guide/copy-data/quick-create-task.md +++ b/docs/user-guide/copy-data/quick-create-task.md @@ -25,7 +25,7 @@ The data replication feature helps you achieve real-time synchronization between :::tip - The following steps demonstrate how to synchronize MySQL to MongoDB in real-time using the **Select Existing Connection** option. The process is similar for other data sources. For information on how to create data sources in advance, see [Connecting Data Sources](../../prerequisites/README.md). + The following steps demonstrate how to synchronize MySQL to MongoDB in real-time using the **Select Existing Connection** option. The process is similar for other data sources. For information on how to create data sources in advance, see [Connecting Data Sources](../../connectors/README.md). ::: diff --git a/docs/user-guide/log-in.md b/docs/user-guide/log-in.md index 859dde75..17ddf5bd 100644 --- a/docs/user-guide/log-in.md +++ b/docs/user-guide/log-in.md @@ -13,7 +13,7 @@ TapData Cloud is ideal for scenarios requiring quick deployment and low initial ## TapData Enterprise -TapData Enterprise supports deployment to local data centers and is suitable for scenarios with strict requirements on data sensitivity or network isolation. The TapData Enterprise platform is set up by administrators [following deployment steps](../installation/install-tapdata-enterprise/README.md), who then [assign accounts](../user-guide/manage-system/manage-user.md) and [grant permissions](../user-guide/manage-system/manage-role.md) based on business needs for users within the enterprise. Regular users need to contact their administrators to obtain the login URL and credentials. +TapData Enterprise supports deployment to local data centers and is suitable for scenarios with strict requirements on data sensitivity or network isolation. The TapData Enterprise platform is set up by administrators [following deployment steps](../getting-started/install-and-setup/install-enterprise-edition/README.md), who then [assign accounts](../user-guide/manage-system/manage-user.md) and [grant permissions](../user-guide/manage-system/manage-role.md) based on business needs for users within the enterprise. Regular users need to contact their administrators to obtain the login URL and credentials. ![Log in to TapData Enterprise](../images/login-on-prem.png) diff --git a/docs/user-guide/manage-system/_manage-external-storage.md b/docs/user-guide/manage-system/_manage-external-storage.md index 8ddb5d47..38512e1f 100644 --- a/docs/user-guide/manage-system/_manage-external-storage.md +++ b/docs/user-guide/manage-system/_manage-external-storage.md @@ -43,6 +43,6 @@ An external database intended for data storage has been created. Currently, Mong ## Use External Storage -You can enable the Shared Mining feature and select the recently configured external storage when [creating a connection](../../prerequisites/README.md), as shown in the example below: +You can enable the Shared Mining feature and select the recently configured external storage when [creating a connection](../../connectors/README.md), as shown in the example below: ![Select External Storage](../../images/select_external_storage.png) \ No newline at end of file diff --git a/docs/user-guide/real-time-data-hub/_dashboard.md b/docs/user-guide/real-time-data-hub/_dashboard.md index c2cd3c0f..ee995508 100644 --- a/docs/user-guide/real-time-data-hub/_dashboard.md +++ b/docs/user-guide/real-time-data-hub/_dashboard.md @@ -41,7 +41,7 @@ In the catelog view, if you select a specific table, you can also see table deta -Clicking the icon, in the pop-up dialog, we can add a data source, select a data source will jump to the connection configuration page. For more information, see Connect Data Sources. +Clicking the icon, in the pop-up dialog, we can add a data source, select a data source will jump to the connection configuration page. For more information, see Connect Data Sources. diff --git a/docs/user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md b/docs/user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md index 7053f73e..a23e2492 100644 --- a/docs/user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md +++ b/docs/user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md @@ -41,7 +41,7 @@ In the catelog view, if you select a specific table, you can also see table deta -Click the icon, in the pop-up dialog, we can add a data source, select a data source will jump to the connection configuration page. For more information, see Connect Data Sources. +Click the icon, in the pop-up dialog, we can add a data source, select a data source will jump to the connection configuration page. For more information, see Connect Data Sources. diff --git a/docs/user-guide/real-time-data-hub/daas-mode/enable-daas-mode.md b/docs/user-guide/real-time-data-hub/daas-mode/enable-daas-mode.md index 0d841cd4..ee3ae312 100644 --- a/docs/user-guide/real-time-data-hub/daas-mode/enable-daas-mode.md +++ b/docs/user-guide/real-time-data-hub/daas-mode/enable-daas-mode.md @@ -33,7 +33,7 @@ With the increase in the tasks carried by the source database, in order to minim | Hierarchy | Description | | -------------------- |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| **Sources** | TapData consolidates data sources from various business systems into a centralized data source layer, which serves as the initial step in bridging data silos. This abstraction of data sources enables a unified and streamlined approach to accessing and utilizing data. For more detailed instructions, please refer to the [Connect Data Sources](../../../prerequisites/README.md) section for comprehensive information on establishing connections with your data sources. | +| **Sources** | TapData consolidates data sources from various business systems into a centralized data source layer, which serves as the initial step in bridging data silos. This abstraction of data sources enables a unified and streamlined approach to accessing and utilizing data. For more detailed instructions, please refer to the [Connect Data Sources](../../../connectors/README.md) section for comprehensive information on establishing connections with your data sources. | | **FDM (Foundation Data Model)** | By synchronizing the table from the source database to the **FDM** beforehand, the data can be readily accessed by the business through the FDM, thus eliminating the need to directly read or manipulate the data in the source database, such as performing union operations, during data processing. This approach significantly minimizes the impact on the business operations of the source database. | | **MDM (Master Data Model)** | If there is a need for extensive customization of data processing or operations, such as generating a wide table, it is possible to extract the data table from the FDM and perform the required operations within the **MDM**. This allows for the generation of model data that can be used in the final business processes. | | **Targets & Service** | TapData provides a centralized platform that aggregates and presents various data sources, allowing them to be utilized as targets for data processing. This enables the provision of processed data to the business, facilitating the creation of a unified data service platform for enterprises. | @@ -92,7 +92,7 @@ In the Real-Time Data Hub, we need to prepare a MongoDB database as a data repos -1. Prepare a MongoDB database (version 4.0 or above), then [connect this database](../../../prerequisites/on-prem-databases/mongodb.md) on the TapData platform, using it as the storage engine for the platform cache layer/platform processing layer. Deployment details can be seen in [deployment examples](../../../administration/production-deploy/install-replica-mongodb.md) or on the [MongoDB official website](https://www.mongodb.com/docs/manual/administration/install-on-linux/). +1. Prepare a MongoDB database (version 4.0 or above), then [connect this database](../../../connectors/on-prem-databases/mongodb.md) on the TapData platform, using it as the storage engine for the platform cache layer/platform processing layer. Deployment details can be seen in [deployment examples](../../../administration/production-deploy/install-replica-mongodb.md) or on the [MongoDB official website](https://www.mongodb.com/docs/manual/administration/install-on-linux/). :::tip diff --git a/docs/user-guide/real-time-data-hub/etl-mode/etl-mode-dashboard.md b/docs/user-guide/real-time-data-hub/etl-mode/etl-mode-dashboard.md index 7e4d8e75..d0e18d20 100644 --- a/docs/user-guide/real-time-data-hub/etl-mode/etl-mode-dashboard.md +++ b/docs/user-guide/real-time-data-hub/etl-mode/etl-mode-dashboard.md @@ -37,7 +37,7 @@ import TabItem from '@theme/TabItem';

-

Clicking the icon opens a dialog where you can add a data source. Selecting a data source will take you to the connection configuration page. For more information, see Connect Data Sources.

+

Clicking the icon opens a dialog where you can add a data source. Selecting a data source will take you to the connection configuration page. For more information, see Connect Data Sources.

diff --git a/docs/user-guide/trouble-shooting-connection.md b/docs/user-guide/trouble-shooting-connection.md index ef346428..94ae1035 100644 --- a/docs/user-guide/trouble-shooting-connection.md +++ b/docs/user-guide/trouble-shooting-connection.md @@ -4,7 +4,7 @@ import Content from '../reuse-content/_all-features.md'; -To ensure the effectiveness of the data source connection, you can perform a connection test after completing the [data connection configuration](../prerequisites/README.md). By clicking on **Test Connection**, you can verify if the data source configuration meets the requirements and check for normal network connectivity. This article provides an overview of common inspection items within TapData and offers troubleshooting methods in case of connection failures. +To ensure the effectiveness of the data source connection, you can perform a connection test after completing the [data connection configuration](../connectors/README.md). By clicking on **Test Connection**, you can verify if the data source configuration meets the requirements and check for normal network connectivity. This article provides an overview of common inspection items within TapData and offers troubleshooting methods in case of connection failures. - **Check if connections are available** @@ -24,7 +24,7 @@ To ensure the effectiveness of the data source connection, you can perform a con - **Check if binlog is enabled and set to ROW format** (for MySQL) - TapData verifies whether the database's binlog is enabled and set to the ROW format. If these requirements are not met, the connection test will fail. To gather more information about binlog settings, it is recommended to refer to the [MySQL preparations documentation](../prerequisites/on-prem-databases/mysql.md). In such cases, it is necessary to review and verify the configuration of the database's binlog to ensure it is properly enabled and set to the ROW format as per the requirements. + TapData verifies whether the database's binlog is enabled and set to the ROW format. If these requirements are not met, the connection test will fail. To gather more information about binlog settings, it is recommended to refer to the [MySQL preparations documentation](../connectors/on-prem-databases/mysql.md). In such cases, it is necessary to review and verify the configuration of the database's binlog to ensure it is properly enabled and set to the ROW format as per the requirements. - **Check if permissions required for CDC are authorized** @@ -32,18 +32,18 @@ To ensure the effectiveness of the data source connection, you can perform a con - **Check if archive logging is enabled** (for Oracle) - TapData checks if the archive log is enabled. If it is not enabled, the test fails. For more information about how to enable it, see [Oracle preparation](../prerequisites/on-prem-databases/oracle.md). + TapData checks if the archive log is enabled. If it is not enabled, the test fails. For more information about how to enable it, see [Oracle preparation](../connectors/on-prem-databases/oracle.md). - **Check if supplemental log mode is correct** (for Oracle) - TapData checks if the supplemental log mode is correct. If it is incorrect, the test fails. For more information about how to set it up, see [Oracle preparation](../prerequisites/on-prem-databases/oracle.md). + TapData checks if the supplemental log mode is correct. If it is incorrect, the test fails. For more information about how to set it up, see [Oracle preparation](../connectors/on-prem-databases/oracle.md). - **Check if permissions required for DDL are authorized** (for Oracle) - TapData checks if the database account has DDL execution permissions. If the permission is not met, the test fails. For an example of authorization, see [Oracle preparation](../prerequisites/on-prem-databases/oracle.md). + TapData checks if the database account has DDL execution permissions. If the permission is not met, the test fails. For an example of authorization, see [Oracle preparation](../connectors/on-prem-databases/oracle.md). ## See also -[Preparations Before Connection](../prerequisites/README.md) \ No newline at end of file +[Preparations Before Connection](../connectors/README.md) \ No newline at end of file diff --git a/docs/user-guide/workshop.md b/docs/user-guide/workshop.md index b796a228..55841a12 100644 --- a/docs/user-guide/workshop.md +++ b/docs/user-guide/workshop.md @@ -63,6 +63,6 @@ The console page mainly includes the following key indicators: Just 3 simple steps to experience the powerful and convenient data flow capabilities of TapData: -* [Install TapData](../installation/README.md) -* [Connect to a Database](../quick-start/connect-database.md) -* [Create a Data Pipeline](../quick-start/create-task.md) +* [Install TapData](../getting-started/install-and-setup/README.md) +* [Connect to a Database](../getting-started/connect-data-source.md) +* [Create a Data Pipeline](../getting-started/create-task.md) diff --git a/docs/what-is-tapdata.md b/docs/what-is-tapdata.md index e500d2a3..cc26497c 100644 --- a/docs/what-is-tapdata.md +++ b/docs/what-is-tapdata.md @@ -14,7 +14,7 @@ TapData is a real-time data platform provide by TapData that integrates data rep Compared to traditional data migration/synchronization tools, TapData offers a feature-rich, easy-to-use, secure, and reliable data flow service. It also supports instant API publishing to enhance data development efficiency. -* **[Rich Database Support](prerequisites/supported-databases.md)** +* **[Rich Database Support](connectors/supported-data-sources.md)** Supports mainstream databases, including commercial databases, open-source databases, cloud databases, SaaS platform data sources, file data sources, and allows for custom data sources. @@ -58,7 +58,7 @@ For more information, see [Edition Comparison](introduction/compare-editions.md) ## New to TapData? -No worries, with TapData's graphical operation platform, follow our [Quick Start](quick-start/README.md) tutorial, and you can easily get started in just a few minutes. Moreover, we have prepared a wealth of tutorials to help you quickly meet your data flow requirements. +No worries, with TapData's graphical operation platform, follow our [Quick Start](getting-started/README.md) tutorial, and you can easily get started in just a few minutes. Moreover, we have prepared a wealth of tutorials to help you quickly meet your data flow requirements. :::tip @@ -72,5 +72,5 @@ While browsing the documentation, please pay attention to the "**Applicable to** - [Product Architecture and Workflow](introduction/architecture.md) - [Features](introduction/features.md) - [Use Cases](introduction/use-cases.md) -- [Supported Databases](prerequisites/supported-databases.md) +- [Supported Databases](connectors/supported-data-sources.md) - [FAQ](faq/README.md) \ No newline at end of file diff --git a/sidebars.js b/sidebars.js index 6843d08d..b15c978a 100644 --- a/sidebars.js +++ b/sidebars.js @@ -36,204 +36,204 @@ const sidebars = { }, { type: 'category', - label: 'Quick Start', - link: {type: 'doc', id: 'quick-start/README'}, - items: [ - 'quick-start/install', - 'quick-start/connect-database', - 'quick-start/create-task', - ] - }, - { - type: 'category', - label: 'Installation', - link: {type: 'doc', id: 'installation/README'}, + label: 'Getting Started', + link: {type: 'doc', id: 'getting-started/README'}, items: [ { type: 'category', - label: 'TapData Enterprise', - link: {type: 'doc', id: 'installation/install-tapdata-enterprise/README'}, + label: 'Step 1: Install and Setup', + link: {type: 'doc', id: 'getting-started/install-and-setup/README'}, items: [ - 'installation/install-tapdata-enterprise/install-tapdata-stand-alone', - 'installation/install-tapdata-enterprise/install-on-windows', + 'getting-started/install-and-setup/install-enterprise-edition', + 'getting-started/install-and-setup/install-community-edition', ] }, - 'installation/install-tapdata-community', - 'installation/install-tapdata-agent', - ] + 'getting-started/connect-data-source', + 'getting-started/build-real-time-materialized-view', + 'getting-started/publish-imv-as-api', + ] }, { - type: 'category', - label: 'Billing', - link: {type: 'doc', id: 'billing/README'}, - items: [ - 'billing/billing-overview', - 'billing/purchase', - 'billing/renew-subscribe', - 'billing/expiration', - 'billing/refund', - ] - }, -{ type: 'category', label: 'Connect Data Sources', - link: {type: 'doc', id: 'prerequisites/README'}, + link: {type: 'doc', id: 'connectors/README'}, items: [ - 'prerequisites/supported-databases', + 'connectors/supported-data-sources', { type: 'category', label: 'Warehouses and Lakes', - link: {type: 'doc', id: 'prerequisites/warehouses-and-lake/README'}, + link: {type: 'doc', id: 'connectors/warehouses-and-lake/README'}, items: [ - 'prerequisites/warehouses-and-lake/big-query', - 'prerequisites/warehouses-and-lake/clickhouse', - 'prerequisites/warehouses-and-lake/databend', - 'prerequisites/warehouses-and-lake/doris', - 'prerequisites/warehouses-and-lake/gaussdb', - 'prerequisites/warehouses-and-lake/greenplum', - 'prerequisites/warehouses-and-lake/hudi', - 'prerequisites/warehouses-and-lake/selectdb', - 'prerequisites/warehouses-and-lake/starrocks', - 'prerequisites/warehouses-and-lake/tablestore', - 'prerequisites/warehouses-and-lake/yashandb', + 'connectors/warehouses-and-lake/big-query', + 'connectors/warehouses-and-lake/clickhouse', + 'connectors/warehouses-and-lake/databend', + 'connectors/warehouses-and-lake/doris', + 'connectors/warehouses-and-lake/gaussdb', + 'connectors/warehouses-and-lake/greenplum', + 'connectors/warehouses-and-lake/hudi', + 'connectors/warehouses-and-lake/selectdb', + 'connectors/warehouses-and-lake/starrocks', + 'connectors/warehouses-and-lake/tablestore', + 'connectors/warehouses-and-lake/yashandb', ] }, { type: 'category', label: 'On-Prem Databases', - link: {type: 'doc', id: 'prerequisites/on-prem-databases/README'}, + link: {type: 'doc', id: 'connectors/on-prem-databases/README'}, items: [ - 'prerequisites/on-prem-databases/dameng', - 'prerequisites/on-prem-databases/db2', - 'prerequisites/on-prem-databases/elasticsearch', - 'prerequisites/on-prem-databases/gbase-8a', - 'prerequisites/on-prem-databases/gbase-8s', - 'prerequisites/on-prem-databases/hive1', - 'prerequisites/on-prem-databases/hive3', - 'prerequisites/on-prem-databases/informix', - 'prerequisites/on-prem-databases/kingbase-es-r3', - 'prerequisites/on-prem-databases/kingbase-es-r6', - 'prerequisites/on-prem-databases/mariadb', - 'prerequisites/on-prem-databases/mongodb', - 'prerequisites/on-prem-databases/mongodb-below34', - 'prerequisites/on-prem-databases/mrs-hive3', - 'prerequisites/on-prem-databases/mysql', - 'prerequisites/on-prem-databases/mysql-pxc', - 'prerequisites/on-prem-databases/oceanbase', - 'prerequisites/on-prem-databases/oceanbase-oracle', - 'prerequisites/on-prem-databases/opengauss', - 'prerequisites/on-prem-databases/oracle', - 'prerequisites/on-prem-databases/postgresql', - 'prerequisites/on-prem-databases/redis', - 'prerequisites/on-prem-databases/sqlserver', - 'prerequisites/on-prem-databases/sybase', - 'prerequisites/on-prem-databases/tdengine', - 'prerequisites/on-prem-databases/tidb', - 'prerequisites/on-prem-databases/vastbase', + 'connectors/on-prem-databases/dameng', + 'connectors/on-prem-databases/db2', + 'connectors/on-prem-databases/elasticsearch', + 'connectors/on-prem-databases/gbase-8a', + 'connectors/on-prem-databases/gbase-8s', + 'connectors/on-prem-databases/hive1', + 'connectors/on-prem-databases/hive3', + 'connectors/on-prem-databases/informix', + 'connectors/on-prem-databases/kingbase-es-r3', + 'connectors/on-prem-databases/kingbase-es-r6', + 'connectors/on-prem-databases/mariadb', + 'connectors/on-prem-databases/mongodb', + 'connectors/on-prem-databases/mongodb-below34', + 'connectors/on-prem-databases/mrs-hive3', + 'connectors/on-prem-databases/mysql', + 'connectors/on-prem-databases/mysql-pxc', + 'connectors/on-prem-databases/oceanbase', + 'connectors/on-prem-databases/oceanbase-oracle', + 'connectors/on-prem-databases/opengauss', + 'connectors/on-prem-databases/oracle', + 'connectors/on-prem-databases/postgresql', + 'connectors/on-prem-databases/redis', + 'connectors/on-prem-databases/sqlserver', + 'connectors/on-prem-databases/sybase', + 'connectors/on-prem-databases/tdengine', + 'connectors/on-prem-databases/tidb', + 'connectors/on-prem-databases/vastbase', ] }, { type: 'category', label: 'Cloud Databases', - link: {type: 'doc', id: 'prerequisites/cloud-databases/README'}, + link: {type: 'doc', id: 'connectors/cloud-databases/README'}, items: [ - 'prerequisites/cloud-databases/aliyun-adb-mysql', - 'prerequisites/cloud-databases/aliyun-adb-postgresql', - 'prerequisites/cloud-databases/aliyun-mongodb', - 'prerequisites/cloud-databases/aliyun-rds-for-mariadb', - 'prerequisites/cloud-databases/aliyun-rds-for-mongodb', - 'prerequisites/cloud-databases/aliyun-rds-for-mysql', - 'prerequisites/cloud-databases/aliyun-rds-for-pg', - 'prerequisites/cloud-databases/aliyun-rds-for-sql-server', - 'prerequisites/cloud-databases/amazon-rds-mysql', - 'prerequisites/cloud-databases/huawei-cloud-gaussdb', - 'prerequisites/cloud-databases/mongodb-atlas', - 'prerequisites/cloud-databases/polardb-mysql', - 'prerequisites/cloud-databases/polardb-postgresql', - 'prerequisites/cloud-databases/tencentdb-for-mariadb', - 'prerequisites/cloud-databases/tencentdb-for-mongodb', - 'prerequisites/cloud-databases/tencentdb-for-mysql', - 'prerequisites/cloud-databases/tencentdb-for-pg', - 'prerequisites/cloud-databases/tencentdb-for-sql-server', + 'connectors/cloud-databases/aliyun-adb-mysql', + 'connectors/cloud-databases/aliyun-adb-postgresql', + 'connectors/cloud-databases/aliyun-mongodb', + 'connectors/cloud-databases/aliyun-rds-for-mariadb', + 'connectors/cloud-databases/aliyun-rds-for-mongodb', + 'connectors/cloud-databases/aliyun-rds-for-mysql', + 'connectors/cloud-databases/aliyun-rds-for-pg', + 'connectors/cloud-databases/aliyun-rds-for-sql-server', + 'connectors/cloud-databases/amazon-rds-mysql', + 'connectors/cloud-databases/huawei-cloud-gaussdb', + 'connectors/cloud-databases/mongodb-atlas', + 'connectors/cloud-databases/polardb-mysql', + 'connectors/cloud-databases/polardb-postgresql', + 'connectors/cloud-databases/tencentdb-for-mariadb', + 'connectors/cloud-databases/tencentdb-for-mongodb', + 'connectors/cloud-databases/tencentdb-for-mysql', + 'connectors/cloud-databases/tencentdb-for-pg', + 'connectors/cloud-databases/tencentdb-for-sql-server', ] }, { type: 'category', label: 'MQ and Middleware', - link: {type: 'doc', id: 'prerequisites/mq-and-middleware/README'}, + link: {type: 'doc', id: 'connectors/mq-and-middleware/README'}, items: [ - 'prerequisites/mq-and-middleware/activemq', - 'prerequisites/mq-and-middleware/ai-chat', - 'prerequisites/mq-and-middleware/bes-channels', - 'prerequisites/mq-and-middleware/hazelcast-cloud', - 'prerequisites/mq-and-middleware/kafka-enhanced', - 'prerequisites/mq-and-middleware/kafka', - 'prerequisites/mq-and-middleware/rabbitmq', - 'prerequisites/mq-and-middleware/rocketmq', + 'connectors/mq-and-middleware/activemq', + 'connectors/mq-and-middleware/ai-chat', + 'connectors/mq-and-middleware/bes-channels', + 'connectors/mq-and-middleware/hazelcast-cloud', + 'connectors/mq-and-middleware/kafka-enhanced', + 'connectors/mq-and-middleware/kafka', + 'connectors/mq-and-middleware/rabbitmq', + 'connectors/mq-and-middleware/rocketmq', ] }, { type: 'category', label: 'CRM and Sales Analytics', - link: {type: 'doc', id: 'prerequisites/crm-and-sales-analytics/README'}, + link: {type: 'doc', id: 'connectors/crm-and-sales-analytics/README'}, items: [ - 'prerequisites/crm-and-sales-analytics/hubspot', - 'prerequisites/crm-and-sales-analytics/metabase', - 'prerequisites/crm-and-sales-analytics/salesforce', - 'prerequisites/crm-and-sales-analytics/zoho-crm', + 'connectors/crm-and-sales-analytics/hubspot', + 'connectors/crm-and-sales-analytics/metabase', + 'connectors/crm-and-sales-analytics/salesforce', + 'connectors/crm-and-sales-analytics/zoho-crm', ] }, { type: 'category', label: 'SaaS and APIs', - link: {type: 'doc', id: 'prerequisites/saas-and-api/README'}, + link: {type: 'doc', id: 'connectors/saas-and-api/README'}, items: [ - 'prerequisites/saas-and-api/coding', - 'prerequisites/saas-and-api/feishu-bitable', - 'prerequisites/saas-and-api/github', - 'prerequisites/saas-and-api/lark-approval', - 'prerequisites/saas-and-api/lark-doc', - 'prerequisites/saas-and-api/lark-im', - 'prerequisites/saas-and-api/lark-task', - 'prerequisites/saas-and-api/quick-api', - 'prerequisites/saas-and-api/vika', - 'prerequisites/saas-and-api/zoho-desk', + 'connectors/saas-and-api/coding', + 'connectors/saas-and-api/feishu-bitable', + 'connectors/saas-and-api/github', + 'connectors/saas-and-api/lark-approval', + 'connectors/saas-and-api/lark-doc', + 'connectors/saas-and-api/lark-im', + 'connectors/saas-and-api/lark-task', + 'connectors/saas-and-api/quick-api', + 'connectors/saas-and-api/vika', + 'connectors/saas-and-api/zoho-desk', ] }, { type: 'category', label: 'E-Commerce', - link: {type: 'doc', id: 'prerequisites/e-commerce/README'}, + link: {type: 'doc', id: 'connectors/e-commerce/README'}, items: [ - 'prerequisites/e-commerce/alibaba-1688', - 'prerequisites/e-commerce/shein', + 'connectors/e-commerce/alibaba-1688', + 'connectors/e-commerce/shein', ] }, { type: 'category', label: 'Files', - link: {type: 'doc', id: 'prerequisites/files/README'}, + link: {type: 'doc', id: 'connectors/files/README'}, items: [ - 'prerequisites/files/csv', - 'prerequisites/files/excel', - 'prerequisites/files/json', - 'prerequisites/files/xml', + 'connectors/files/csv', + 'connectors/files/excel', + 'connectors/files/json', + 'connectors/files/xml', ] }, { type: 'category', label: 'Others', - link: {type: 'doc', id: 'prerequisites/others/README'}, + link: {type: 'doc', id: 'connectors/others/README'}, items: [ - 'prerequisites/others/custom-connection', - 'prerequisites/others/dummy', - 'prerequisites/others/http-receiver', - 'prerequisites/others/mock-source', - 'prerequisites/others/mock-target', + 'connectors/others/custom-connection', + 'connectors/others/dummy', + 'connectors/others/http-receiver', + 'connectors/others/mock-source', + 'connectors/others/mock-target', ] }, ] }, + { + type: 'category', + label: 'Design Incremental Materialized Views', + link: { type: 'doc', id: 'design-incremental-views/README' }, + items: [ + 'design-incremental-views/overview', + { + type: 'category', + label: 'Create Views', + link: { type: 'doc', id: 'design-incremental-views/create-views/README' }, + items: [ + 'design-incremental-views/create-views/using-data-pipeline-ui', + 'design-incremental-views/create-views/using-imv-guide', + 'design-incremental-views/create-views/using-tapflow', + ], + }, + 'design-incremental-views/validate-views', + 'design-incremental-views/design-considerations', + 'design-incremental-views/monitor-view-tasks', + ], + }, { type: 'category', label: 'User Guide', From b5726ee1341e01d9884785a1215f2ef443eb3496 Mon Sep 17 00:00:00 2001 From: Walter Date: Fri, 4 Jul 2025 07:36:07 +0800 Subject: [PATCH 02/42] update getting started --- .../create-task.md | 0 .../install-enterprise-edition/README.md | 2 +- .../install-on-windows.md | 12 +- .../install-tapdata-stand-alone.md | 6 +- .../install.md | 8 +- .../mysql-bi-directional-sync.md | 2 +- docs/design-incremental-views/README.md | 6 +- .../create-views/README.md | 29 +++- .../create-views/using-imv-guide.md | 96 ++++++++++++- .../validate-views.md | 92 +++++++++++- .../build-real-time-materialized-view.md | 136 +++++++++++++++++- docs/getting-started/connect-data-source.md | 4 +- .../install-and-setup/README.md | 2 +- .../install-community-edition.md | 2 +- .../install-enterprise-edition.md | 4 +- docs/getting-started/publish-imv-as-api.md | 45 +++++- docs/images/add_columns.png | Bin 76881 -> 224715 bytes .../images/create_api_for_order_flat_view.png | Bin 0 -> 84571 bytes docs/images/create_api_group.png | Bin 0 -> 34918 bytes docs/images/imv-solution.gif | Bin 0 -> 1326868 bytes docs/images/monitor_view_task.png | Bin 564053 -> 192542 bytes docs/images/select_main_table.png | Bin 36866 -> 90820 bytes docs/images/select_view_write_target.png | Bin 275556 -> 264246 bytes docs/mcp/quick-start.md | 2 +- docs/release-notes/release-notes-on-prem.md | 30 ++-- .../advanced-settings/share-mining.md | 2 +- docs/user-guide/copy-data/create-task.md | 2 +- docs/user-guide/log-in.md | 2 +- docs/user-guide/verify-data.md | 91 ------------ docs/user-guide/workshop.md | 2 +- docs/what-is-tapdata.md | 2 +- sidebars.js | 1 - 32 files changed, 440 insertions(+), 140 deletions(-) rename docs/{getting-started => backup-files}/create-task.md (100%) rename docs/{getting-started/install-and-setup => backup-files}/install-enterprise-edition/README.md (62%) rename docs/{getting-started/install-and-setup => backup-files}/install-enterprise-edition/install-on-windows.md (91%) rename docs/{getting-started/install-and-setup => backup-files}/install-enterprise-edition/install-tapdata-stand-alone.md (93%) rename docs/{getting-started => backup-files}/install.md (83%) create mode 100644 docs/images/create_api_for_order_flat_view.png create mode 100644 docs/images/create_api_group.png create mode 100644 docs/images/imv-solution.gif delete mode 100644 docs/user-guide/verify-data.md diff --git a/docs/getting-started/create-task.md b/docs/backup-files/create-task.md similarity index 100% rename from docs/getting-started/create-task.md rename to docs/backup-files/create-task.md diff --git a/docs/getting-started/install-and-setup/install-enterprise-edition/README.md b/docs/backup-files/install-enterprise-edition/README.md similarity index 62% rename from docs/getting-started/install-and-setup/install-enterprise-edition/README.md rename to docs/backup-files/install-enterprise-edition/README.md index fab0bb67..9ec48e5c 100644 --- a/docs/getting-started/install-and-setup/install-enterprise-edition/README.md +++ b/docs/backup-files/install-enterprise-edition/README.md @@ -1,6 +1,6 @@ # TapData Enterprise -TapData Enterprise supports single-node or high-availability deployment. If you are deploying in a production environment, it is recommended to use the [high-availability deployment](../../../administration/production-deploy/install-tapdata-ha.md) method. +TapData Enterprise supports single-node or high-availability deployment. If you are deploying in a production environment, it is recommended to use the [high-availability deployment](../../administration/production-deploy/install-tapdata-ha.md) method. import DocCardList from '@theme/DocCardList'; diff --git a/docs/getting-started/install-and-setup/install-enterprise-edition/install-on-windows.md b/docs/backup-files/install-enterprise-edition/install-on-windows.md similarity index 91% rename from docs/getting-started/install-and-setup/install-enterprise-edition/install-on-windows.md rename to docs/backup-files/install-enterprise-edition/install-on-windows.md index 19cc1467..9d11f107 100644 --- a/docs/getting-started/install-and-setup/install-enterprise-edition/install-on-windows.md +++ b/docs/backup-files/install-enterprise-edition/install-on-windows.md @@ -4,7 +4,7 @@ This guide explains how to quickly deploy TapData services on a Windows platform :::tip -Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high-availability deployment](../../../administration/production-deploy/install-tapdata-ha.md). +Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high-availability deployment](../../administration/production-deploy/install-tapdata-ha.md). ::: @@ -17,7 +17,7 @@ Stand-alone deployment is suitable for functional testing scenarios. For product ## Preparation -1. [Install MongoDB](../../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. +1. [Install MongoDB](../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. 2. Log in to the target device, install Java 1.8 and set environment variables. @@ -27,18 +27,18 @@ Stand-alone deployment is suitable for functional testing scenarios. For product 3. Click **Advanced System Settings** on the left, then click **Environment Variables**. - ![Select Environment Variables](../../../images/select_system_env.png) + ![Select Environment Variables](../../images/select_system_env.png) 4. In the dialog that appears, click **New** under **System Variables**, fill in the variable name and value, and click **OK**. - ![Add Variable](../../../images/add_system_env.png) + ![Add Variable](../../images/add_system_env.png) - **Variable Name**: `JAVA_HOME` - **Variable Value**: The installation path of JDK, for example, `C:\Program Files\Java\jdk1.8.0_202` 5. In the **System Variables** area, find and double-click the **Path** variable, then in the dialog that appears, add the following environment variables, and click **OK**. - ![Edit Variable](../../../images/edit_system_env.png) + ![Edit Variable](../../images/edit_system_env.png) - `%JAVA_HOME%\bin` - `%JAVA_HOME%\jre\bin` @@ -147,4 +147,4 @@ This example uses Windows Server 2019 to demonstrate the deployment process. ## Next Steps -[Connect to Databases](../../connect-data-source.md) \ No newline at end of file +[Connect to Databases](../../getting-started/connect-data-source.md) \ No newline at end of file diff --git a/docs/getting-started/install-and-setup/install-enterprise-edition/install-tapdata-stand-alone.md b/docs/backup-files/install-enterprise-edition/install-tapdata-stand-alone.md similarity index 93% rename from docs/getting-started/install-and-setup/install-enterprise-edition/install-tapdata-stand-alone.md rename to docs/backup-files/install-enterprise-edition/install-tapdata-stand-alone.md index 64ee4139..6e2f1eef 100644 --- a/docs/getting-started/install-and-setup/install-enterprise-edition/install-tapdata-stand-alone.md +++ b/docs/backup-files/install-enterprise-edition/install-tapdata-stand-alone.md @@ -4,7 +4,7 @@ This document explains how to quickly deploy TapData service on a Linux platform :::tip -Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high availability deployment](../../../administration/production-deploy/install-tapdata-ha.md). +Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high availability deployment](../../administration/production-deploy/install-tapdata-ha.md). ::: @@ -39,7 +39,7 @@ This guide uses CentOS 7 as an example to demonstrate the deployment process. yum -y install java-1.8.0-openjdk ``` - 2. [Install MongoDB](../../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. + 2. [Install MongoDB](../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. 3. Download the TapData installation package (contact us at [team@tapdata.io](mailto:team@tapdata.io) to obtain it) and upload it to the target device. @@ -132,4 +132,4 @@ This guide uses CentOS 7 as an example to demonstrate the deployment process. ## Next Steps -[Connect to Databases](../../connect-data-source.md) \ No newline at end of file +[Connect to Databases](../../getting-started/connect-data-source.md) \ No newline at end of file diff --git a/docs/getting-started/install.md b/docs/backup-files/install.md similarity index 83% rename from docs/getting-started/install.md rename to docs/backup-files/install.md index 1c8add12..c4d1f800 100644 --- a/docs/getting-started/install.md +++ b/docs/backup-files/install.md @@ -19,16 +19,16 @@ TapData offers various deployment options to cater to diverse needs, from quick 1. Visit [TapData Cloud](https://cloud.tapdata.io/console/v3/) and sign up for free. 2. Log in to your account to access your shared TapData Agent. 3. Follow these quick guides to explore TapData’s features: - - **[Connect a Data Source](connect-data-source.md)**: Link your databases or data sources to the TapData platform. - - **[Create Your First Data Pipeline](connect-data-source.md)**: Start syncing or transforming data in real time. + - **[Connect a Data Source](../getting-started/connect-data-source.md)**: Link your databases or data sources to the TapData platform. + - **[Create Your First Data Pipeline](../getting-started/connect-data-source.md)**: Start syncing or transforming data in real time. ## More Deployment Options If your project requires more control or custom setups, TapData has you covered with additional deployment methods tailored to your needs: -- **[TapData Enterprise](install-and-setup/install-enterprise-edition/README.md)** +- **[TapData Enterprise](install-enterprise-edition/README.md)** Designed for organizations with strict data governance and security requirements, TapData Enterprise is ideal for industries like finance, government, or large enterprises. Deploy TapData in your own data center to ensure full control over your data. -- **[TapData Community](install-and-setup/install-community-edition.md)** +- **[TapData Community](../getting-started/install-and-setup/install-community-edition.md)** An open-source version of TapData, perfect for small projects or technical teams. Quickly deploy via Docker to access core data synchronization and transformation capabilities, with the option to upgrade to Enterprise or Cloud for additional features. ## See also diff --git a/docs/case-practices/pipeline-tutorial/mysql-bi-directional-sync.md b/docs/case-practices/pipeline-tutorial/mysql-bi-directional-sync.md index 2b352d43..583840c0 100644 --- a/docs/case-practices/pipeline-tutorial/mysql-bi-directional-sync.md +++ b/docs/case-practices/pipeline-tutorial/mysql-bi-directional-sync.md @@ -123,7 +123,7 @@ Follow the instructions in the document to complete the Binlog configuration and :::tip - For Tapdata Enterprise, you can use the [data verification](../../user-guide/verify-data.md) to continuously verify the data of the two bi-directional sync tasks, better meeting your business needs. + For Tapdata Enterprise, you can use the [data verification](../../design-incremental-views/validate-views.md) to continuously verify the data of the two bi-directional sync tasks, better meeting your business needs. ::: diff --git a/docs/design-incremental-views/README.md b/docs/design-incremental-views/README.md index 84d2530e..d06f9a0d 100644 --- a/docs/design-incremental-views/README.md +++ b/docs/design-incremental-views/README.md @@ -1 +1,5 @@ -# Design Incremental Materialized Views--TBD \ No newline at end of file +# Design Incremental Materialized Views + +import DocCardList from '@theme/DocCardList'; + + \ No newline at end of file diff --git a/docs/design-incremental-views/create-views/README.md b/docs/design-incremental-views/create-views/README.md index 7088487b..84b4036c 100644 --- a/docs/design-incremental-views/create-views/README.md +++ b/docs/design-incremental-views/create-views/README.md @@ -1 +1,28 @@ -# Create Views \ No newline at end of file +# Create Views + +This section shows you how to use TapData to build **Incremental Materialized Views (IMV)**—real-time, high-performance analytics tables that combine data from multiple sources to speed up your insights and decision-making. + +## Why Use Incremental Materialized Views? + +Imagine you're a data analyst at an e-commerce company. You need to quickly identify **high-value transactions over $300 in Q1 2025** and understand customer membership levels and regions to drive targeted marketing—like sending special coupons or offering tier upgrades to boost retention and sales. + +In traditional databases, you'd have to run complex multi-table JOINs between your orders and users tables. When data volumes are large, these queries can be slow and put pressure on production systems. IT might even ask you to run them during off-peak hours—slowing down your entire analysis workflow and limiting your team's agility. + +With **TapData’s real-time materialized views**, you can automatically join your orders and users tables into a single, always-up-to-date view synced to MongoDB. Your BI tools or APIs can query this single, denormalized table to get the latest data instantly—no complex SQL, no load on your operational systems. It's fast, scalable, and designed for real-time analytics. + +## How to Create Incremental Materialized Views + +TapData offers multiple ways to build IMVs, so you can choose what best fits your workflow: + +- **IMV Guide** – A step-by-step wizard to get started quickly. +- **Data Pipeline UI** – A visual, drag-and-drop interface for flexible design. +- **TapFlow** – Developer-friendly orchestration and automation for advanced use cases. + +Pick the approach that works for you, and start building analytics-ready views with ease! + + + +import DocCardList from '@theme/DocCardList'; + + + diff --git a/docs/design-incremental-views/create-views/using-imv-guide.md b/docs/design-incremental-views/create-views/using-imv-guide.md index 9181e986..6cb598be 100644 --- a/docs/design-incremental-views/create-views/using-imv-guide.md +++ b/docs/design-incremental-views/create-views/using-imv-guide.md @@ -1 +1,95 @@ -# Using IMV Guide--TBD \ No newline at end of file +# Create Views with Guide + +import Content from '../../reuse-content/_all-features.md'; + + + +The Guide helps you quickly create an **Incremental Materialized View (IMV)** by walking you through each step. It’s the easiest way to join source tables into one analysis-friendly view without writing complex SQL. + +:::tip + +Need more background on why IMVs help with real-time analytics and avoiding heavy database joins? Check out **Create Views Overview**. + +::: + +## Prerequisites + +Make sure you have already connected your **source MySQL database** and **target MongoDB database** in TapData. + +If you haven't set up these connections yet, see [Connect Data Sources](../../getting-started/connect-data-source.md) for detailed instructions. + +## Procedure + +1. [Log in to the TapData Platform](../../log-in.md). + +2. In the left navigation panel, go to **Data Transformation**. + +3. Click **Build Materialized View** to open the configuration workspace. + + 1. Select your main source table. + + For this example, choose the **orders** table as your primary data source. + + ![Select main table](../../images/select_main_table.png) + + 2. To bring in related user details, click **+ Add Field** and choose **Flatten**. + + 3. In the field editor, pick the database and table you want to join. Set the join condition by selecting the key column. In this example, link the **users** table using **user_id**. + + Once configured, the **orders** table will include user information as part of each record. + + ![Add fields](../../images/add_columns.png) + +4. Click **+ Write Target** in the top-right corner. Choose your MongoDB connection and enter a collection name where the view data will be stored. + + On the right, you can preview field mappings and data types for the target collection (for example, **order_view**). + + ![Select target table](../../images/select_view_write_target.png) + +5. When you’re ready, click **Start** in the top-right to launch your real-time materialized view. + + After starting, you’ll be redirected to the task monitoring page, where you can track metrics such as records per second (RPS), latency, and event counts. + + ![View task](../../images/monitor_view_task.png) + + + +## Verify Results + +Once your view is running, you can verify that the data looks as expected. + +**Example: MySQL Source Query** + +Here’s how you might query your source MySQL database to join orders and users: + +```sql +SELECT + o.order_id, + o.user_id, + o.order_amount, + o.order_time, + u.user_name, + u.user_level, + u.country, + u.city +FROM + orders o +JOIN + users u ON o.user_id = u.user_id +WHERE + o.order_time BETWEEN '2025-01-01' AND '2025-03-31' + AND o.order_amount >= 300; +``` + +**Example: Querying the MongoDB View** + +After building the Incremental Materialized View, the same data is flattened and always up-to-date in MongoDB. You can verify it with a simple query: + +```javascript +db.order_flat_view.find({ + order_time: { $gte: ISODate("2025-01-01"), $lte: ISODate("2025-03-31") }, + order_amount: { $gte: 300 } +}) +``` + +The MongoDB collection includes all selected fields—like order details and user information—in a single, analysis-friendly document. This makes it easy to use in BI dashboards, APIs, or data pipelines without writing complex joins. \ No newline at end of file diff --git a/docs/design-incremental-views/validate-views.md b/docs/design-incremental-views/validate-views.md index 5ef4108a..03bca644 100644 --- a/docs/design-incremental-views/validate-views.md +++ b/docs/design-incremental-views/validate-views.md @@ -1 +1,91 @@ -# Validate Views \ No newline at end of file +# Validate View Results + +import Content from '../reuse-content/_all-features.md'; + + + +Leveraging various proprietary technologies, TapData ensures maximum data consistency. In addition, TapData supports data table validation to further verify and ensure the correctness of data flow, meeting the stringent requirements of production environments. This document introduces the configuration process for data validation tasks. + +```mdx-code-block +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; +``` + +## Procedure + +1. [Log in to TapData Platform](../user-guide/log-in.md). + +2. In the left navigation bar, click **Data Validation**. + +3. In the upper right corner of the page, click **Task Consistency Validation** or **Any Table Data Validation** based on your validation target, then fill in the parameters as described below: + + +```mdx-code-block + + +``` +![Setting validation Task](../images/check_data_settings.png) + +- **Choose Job**: Choose the data replication/data transformation task to verify. +- **Verify Task Name**: Enter a meaningful name for the task. +- **Type**: Currently, the following three validation methods are supported. If the field names in the table have been modified during synchronization, executing **All Fields Validation** or **Associated FieldsValidation** may fail due to field name mismatches. + - **Count Validation**: Verifies the row count of the source and target tables without displaying specific difference content, very fast. + - **Full Fields Validation**: Verifies the values of all fields in the source and target tables row by row, displaying the difference content of all fields, slower. + - **Associated Fields Validation**: Only validates the values of associated fields in the source and target tables. The associated fields must have a sortable index, resulting in moderate performance. + - **Hash Validation**: Currently does not support Verify data between heterogeneous databases. +- **Advanced Configuration**: Click on advanced configuration to unfold more configuration options: + - **Result Output**: Choose **Output all inconsistent data** or **Only output inconsistent data from the source table**. + - **Validation Task Alert**: Choose the rule configuration and notification method for alarms when the task runs into errors or the validation results are inconsistent. + - **Validation Frequency**: Default is **Single**. If **Repeated** is chosen, you also need to set the start and end time of the validation and the interval between tasks. + - **Error**: The maximum number of inconsistent data records to save, default is 100, maximum is 10000. It's recommended to set a larger value to ensure completeness of records. + - **Validation Conditions**: By default, TapData automatically loads the source/target data tables from the data replication/development tasks. Additionally, you can turn on the **Data Filter** switch to only verify specific condition data to reduce the validation scale (custom query and aggregate query filtering can be implemented via SQL). Moreover, you can add JS validation logic through advanced validation. + + + + + +![Setting validation Task](../images/check_data_settings_2.png) + + + +- **Validation Name**: Enter a meaningful name for the task. +- **Type**: Currently, the following three validation methods are supported. + - **Count Validation**: Verifies the row count of the source and target tables without displaying specific difference content, very fast. + - **All Fields Validation**: Verifies the values of all fields in the source and target tables row by row, displaying the difference content of all fields, slower. + - **Associated Fields Validation**: Only validates the values of associated fields in the source and target tables. The associated fields must have a sortable index, resulting in moderate performance. + - **Hash Validation**: Currently does not support Verify data between heterogeneous databases. +- **Advanced Configuration**: Click on advanced configuration to unfold more configuration options: + - **Result Output**: Choose **Output all inconsistent data** or **Only output inconsistent data from the source table**. + - **validation Task Alarm**: Choose the rule configuration and notification method for alarms when the task runs into errors or the validation results are inconsistent. +- **validation Frequency**: Default is **Single**. If **Repeated** is chosen, you also need to set the start and end time of the validation and the interval between tasks. +- **Error**: The maximum number of inconsistent data records to save, default is 100, maximum is 10000. It's recommended to set a larger value to ensure completeness of records. +- **Validation Conditions**: Click **Add Table** to manually specify the validation source/target data connections, tables to be verified, index fields, and validation model. Additionally, you can turn on the **Data Filter** switch to only verify specific condition data to reduce the validation scale (custom query and aggregate query filtering can be implemented via SQL). Moreover, you can add JS validation logic through advanced validation. + If you need to verify multiple tables, click **Add Table** to continue adding validation conditions. + + + + + +4. Click **Save**. After returning to the task list, click **Execute** for the target validation task. + +5. (Optional) Click on **Result** for the verification task to view detailed verification results. For discrepancies, you can click **Data Correction** to align the data or **Download** for in-depth analysis. + + ![View validation Results](../images/check_data_result_en.png) + + :::tip + + When the validation type is **Full Fields Validation** or **Associated Fields Validation**, you can also click **Diff verification** in the upper right corner to re-verify the difference data results of this full validation to confirm whether the data has become consistent. + + ::: + +6. *(Optional)* On the data verification task list page, you can import and export task configurations—useful for migrating or reusing configurations between test and production environments. + + + +## Common Issues + +For troubleshooting methods regarding failed validation tasks or inconsistent validation data, see [Common Questions on Data validation](../faq/data-pipeline.md#check-data). + +## See also + +[Incremental Data Validation](../user-guide/incremental-check.md) \ No newline at end of file diff --git a/docs/getting-started/build-real-time-materialized-view.md b/docs/getting-started/build-real-time-materialized-view.md index afe9ed7a..22f1302f 100644 --- a/docs/getting-started/build-real-time-materialized-view.md +++ b/docs/getting-started/build-real-time-materialized-view.md @@ -1,2 +1,136 @@ -# Step 3: Create Your First Materialized View--TBD +# Step 3: Build Real-time Materialized View +import Content from '../reuse-content/_all-features.md'; + + + +This article shows you how to use TapData to build **Incremental Materialized Views (IMV)**—real-time, high-performance analytics tables that combine data from multiple sources to speed up your insights and decision-making. + +## Why Use Incremental Materialized Views? + +Imagine you're a data analyst at an e-commerce company. You need to quickly identify **high-value transactions over $300 in Q1 2025** and understand customer membership levels and regions to drive targeted marketing—like sending special coupons or offering tier upgrades to boost retention and sales. + +In traditional databases, you'd have to run complex multi-table JOINs between your orders and users tables. When data volumes are large, these queries can be slow and put pressure on production systems. IT might even ask you to run them during off-peak hours—slowing down your entire analysis workflow and limiting your team's agility. + +![IMV Solution](../images/imv-solution.gif) + +With **TapData’s real-time materialized views**, you can automatically join your orders and users tables into a single, always-up-to-date view synced to MongoDB. Your BI tools or APIs can query this single, denormalized table to get the latest data instantly—no complex SQL, no load on your operational systems. It's fast, scalable, and designed for real-time analytics. + +## Prerequisites + +Make sure you have already connected your **source MySQL database** and **target MongoDB database** in TapData. + +If you haven't set up these connections yet, see [Connect Data Sources](../../getting-started/connect-data-source.md) for detailed instructions. + +## Procedure + +1. [Log in to the TapData Platform](../../log-in.md). + +2. In the left navigation panel, go to **Data Transformation**. + +3. Click **Build Materialized View** to open the configuration workspace. + + 1. Select your main source table. + + For this example, choose the **orders** table as your primary data source. + + ![Select main table](../images/select_main_table.png) + + 2. To bring in related user details, click **+ Add Field** and choose **Flatten**. + + 3. In the field editor, pick the database and table you want to join. Set the join condition by selecting the key column. In this example, link the **users** table using **user_id**. + + Once configured, the **orders** table will include user information as part of each record. + + ![Add fields](../images/add_columns.png) + +4. Click **+ Write Target** in the top-right corner. Choose your MongoDB connection and enter a collection name where the view data will be stored. + + On the right, you can preview field mappings and data types for the target collection (for example, **order_view**). + + ![Select target table](../images/select_view_write_target.png) + +5. When you’re ready, click **Start** in the top-right to launch your real-time materialized view. + + After starting, you’ll be redirected to the task monitoring page, where you can track metrics such as records per second (RPS), latency, and event counts. + + ![View task](../images/monitor_view_task.png) + + + +## Verify Results + +Once your task is running successfully, TapData continuously performs real-time joins on both full and incremental data from your source tables, delivering an up-to-date view to your target MongoDB collection. + +Returning to our [high-value customer analysis](#why-use-imv) example from the introduction, here's how you might run a traditional SQL join in your MySQL source: + +```sql +SELECT + o.order_id, + o.user_id, + o.order_amount, + o.order_time, + u.user_name, + u.user_level, + u.country, + u.city +FROM + orders o +JOIN + users u ON o.user_id = u.user_id +WHERE + o.order_time BETWEEN '2025-01-01' AND '2025-03-31' + AND o.order_amount >= 300; +``` + +**Example result (single row):** + +```sql +order_id | user_id | user_name | user_level | order_amount | payment_method | order_time +---------------------------------------------------------------------------------------- +o2005 | u004 | David | PLATINUM | 310.40 | PAYPAL | 2025-01-04 12:00:00 +``` + +With your Incremental Materialized View in MongoDB, you don't need to maintain or run these joins manually. Instead, you can query a single, analysis-ready view: + +```javascript +db.order_flat_view.find( + { + order_time: { $gte: ISODate("2025-01-01"), $lte: ISODate("2025-03-31") }, + order_amount: { $gte: 300 }, + user_level: { $in: ["GOLD", "PLATINUM"] } + }, + { + order_id: 1, + user_id: 1, + user_name: 1, + user_level: 1, + order_amount: 1, + payment_method: 1, + order_time: 1, + _id: 0 + } +).sort({ order_time: -1 }); +``` + +**Example result (single document):** + +```javascript +{ + order_id: 'o2005', + order_amount: Decimal128('310.40'), + order_time: ISODate('2025-01-04T12:00:00Z'), + payment_method: 'PAYPAL', + user_id: 'u004', + user_level: 'PLATINUM', + user_name: 'David' +} +``` + +Because the view updates in real time, any new orders from users will automatically appear in MongoDB within milliseconds—without extra configuration or manual queries. This ensures your BI dashboards and APIs always have access to the latest, fully joined and enriched data for your marketing and analysis needs. + +## See also + +* [Publish View as APIs](publish-imv-as-api.md) +* [Validate View Results](../design-incremental-views/validate-views.md) +* [View Design Considerations](../design-incremental-views/design-considerations.md) \ No newline at end of file diff --git a/docs/getting-started/connect-data-source.md b/docs/getting-started/connect-data-source.md index 87840be7..25f549e7 100644 --- a/docs/getting-started/connect-data-source.md +++ b/docs/getting-started/connect-data-source.md @@ -4,7 +4,7 @@ import Content from '../reuse-content/_all-features.md'; -Once you have [installed the Agent](install.md), you need to connect the Agent to the data sources through TapData, and you can create a data pipeline once the connection has been established. +Once you have [installed the Agent](../backup-files/install.md), you need to connect the Agent to the data sources through TapData, and you can create a data pipeline once the connection has been established. :::tip @@ -66,4 +66,4 @@ Before connecting to the data sources, you also need to ensure that the network ## Next step -[Create a Data Pipeline](create-task.md) \ No newline at end of file +[Create a Data Pipeline](../backup-files/create-task.md) \ No newline at end of file diff --git a/docs/getting-started/install-and-setup/README.md b/docs/getting-started/install-and-setup/README.md index 4a61eabb..2af32691 100644 --- a/docs/getting-started/install-and-setup/README.md +++ b/docs/getting-started/install-and-setup/README.md @@ -4,7 +4,7 @@ TapData offers two deployment modes **Enterprise** and **Community**, to meet yo | Product | Applicable Scenarios | | ---------------------------------------------------------- | ------------------------------------------------------------ | -| [TapData Enterprise](install-enterprise-edition/README.md) | Supports deployment to local data centers. Suitable for scenarios with strict requirements on data sensitivity or network isolation, such as financial institutions, government departments, or large enterprises that want full control over their data. | +| [TapData Enterprise](../../backup-files/install-enterprise-edition/README.md) | Supports deployment to local data centers. Suitable for scenarios with strict requirements on data sensitivity or network isolation, such as financial institutions, government departments, or large enterprises that want full control over their data. | | [TapData Community](install-community-edition.md) | An [open-source](https://github.com/tapdata/tapdata) data integration platform that provides basic data synchronization and transformation capabilities. This helps you quickly explore and implement data integration projects. As your project or business grows, you can seamlessly upgrade to TapData Cloud or TapData Enterprise to access more advanced features and service support. | :::tip diff --git a/docs/getting-started/install-and-setup/install-community-edition.md b/docs/getting-started/install-and-setup/install-community-edition.md index 1ce80ed7..72e7873f 100644 --- a/docs/getting-started/install-and-setup/install-community-edition.md +++ b/docs/getting-started/install-and-setup/install-community-edition.md @@ -1,4 +1,4 @@ -# Deploy ODH Community +# Deploy TapData Community TapData Community is an open-source real-time data platform that facilitates data synchronization and transformation. This guide demonstrates how to quickly install and start TapData Community. diff --git a/docs/getting-started/install-and-setup/install-enterprise-edition.md b/docs/getting-started/install-and-setup/install-enterprise-edition.md index 0aca48a5..d4bd0d2a 100644 --- a/docs/getting-started/install-and-setup/install-enterprise-edition.md +++ b/docs/getting-started/install-and-setup/install-enterprise-edition.md @@ -1,6 +1,6 @@ -# Deploy ODH Enterprise +# Deploy TapData Enterprise -The Enterprise Edition Operational Data Hub (ODH) supports both single-node and high-availability deployments. This article explains how to quickly deploy it locally on Linux and Windows platforms (single-node architecture). For production environments, it is recommended to use the [high-availability deployment](../../../administration/production-deploy/install-tapdata-ha.md) approach. +The Enterprise Edition supports both single-node and high-availability deployments. This article explains how to quickly deploy it locally on Linux and Windows platforms (single-node architecture). For production environments, it is recommended to use the [high-availability deployment](../../../administration/production-deploy/install-tapdata-ha.md) approach. ```mdx-code-block import Tabs from '@theme/Tabs'; diff --git a/docs/getting-started/publish-imv-as-api.md b/docs/getting-started/publish-imv-as-api.md index dcf75d49..2554b64a 100644 --- a/docs/getting-started/publish-imv-as-api.md +++ b/docs/getting-started/publish-imv-as-api.md @@ -1 +1,44 @@ -# Publish Result as APIs--TBD \ No newline at end of file +# Step 4: Publish Your View as an API + +After creating your Incremental Materialized View for high-value order analysis, you can easily publish it as an API. This lets your marketing platforms, BI dashboards, or any downstream services securely access up-to-date data in real time—without additional ETL or complex SQL queries. + +## Procedure + +Follow these steps to publish your materialized view as an API service. + +1. Create an Application + + Applications help organize your APIs by business domain. In this example, you’ll create an app called **E-commerce Analytics** to keep all related services together. + + 1. In the left navigation panel, go to **Data Services > Application List**. + + 2. In the top right corner, click **Create Application**. + + 3. In the dialog, enter a name and description, then click **Save**. + + ![Create Application](../images/create_api_group.png) + +2. Create an API Service. + + 1. Go to **Data Services > Service Management** in the navigation panel. + + 2. Click **Create Service** in the top right, then fill in the basic service details: + + ![Create API for view](../images/create_api_for_order_flat_view.png) + + - **Service Name**: Enter a clear, meaningful name for easy identification. + - **Access Scope**: Define which roles can call this API. + - **Own Application**: Select the application you just created, such as **E-commerce Analytics**. + - **Type**: Choose **MongoDB** as the data source type. + - **Name**: Select the Incremental Materialized View you created earlier—for example, `order_flat_view`. + - **API Path Settings**: You can keep the default endpoint or customize it as needed. + + 3. Click **Save**. + +3. Publish the API. + + Locate the API service you just created in the list. In the actions column, click **Publish** to make it available for downstream systems. + +### What’s next? + +Create an API **client key**, choose **token or basic auth**, and share the endpoint with downstream systems. 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Ways to Add Related Fields + +When designing your Incremental Materialized View, you can choose how data from related tables is included in your main record. TapData lets you customize this structure to match your analysis needs and downstream use cases: + +- **Flatten**: Pull selected columns directly into the top level of the main table. Ideal for simple attributes you want to filter or group by (e.g., user_level, country). +- **Embedded Document**: Include all or selected fields as a nested object. Useful for preserving detailed context, such as a user profile with signup date, tier history, or calculated metrics. +- **Embedded Array**: Aggregate multiple related records as an array of objects. Perfect for one-to-many relationships like order items, each enriched with product details. + +By combining these methods, you can design a single view that is analysis-ready, API-friendly, and tailored to your business questions—all without complex joins or heavy ETL processes. + +
+ +With TapData’s Incremental Materialized Views, you can automatically join and transform data across tables in real time—no manual pipelines required. This approach gives your teams a single, always-up-to-date view ready for analytics, dashboards, and APIs, without overloading operational databases. + +In this section, we’ll also share tips for optimizing performance and designing views that scale with your business needs. + +## How to Create Your View + +TapData offers multiple ways to design and build your IMVs, so you can choose the approach that best suits your needs and technical comfort level: + +- [Using IMV Guide](create-views/using-imv-guide.md): A step-by-step wizard for quickly creating even complex joins, with a streamlined setup that doesn't require extra processing nodes. +- [Using Data Pipeline](create-views/using-data-pipeline.md): A visual, flow-based interface that lets you define joins, choose fields, and insert transformation nodes for cleaning or enriching your data. +- [Using TapFlow](create-views/using-tapflow.md): A code-friendly approach designed for developers and advanced users who want full control and automation via API or CLI. + +Choose the approach that works best for you and start building real-time, analysis-ready data views tailored to your business. \ No newline at end of file diff --git a/docs/faq/use-product.md b/docs/faq/use-product.md index 8a2128b3..7dbd1088 100644 --- a/docs/faq/use-product.md +++ b/docs/faq/use-product.md @@ -52,7 +52,7 @@ import Content1 from '../reuse-content/_enterprise-features.md'; -Yes (for single tables), you can publish processed tables [as API services](../user-guide/data-service/create-api-service.md) to allow other applications to easily access and retrieve data. +Yes (for single tables), you can publish processed tables [as API services](../publish-apis/create-api-service.md) to allow other applications to easily access and retrieve data. ## How to publish complex multi-table queries as API services? @@ -77,7 +77,7 @@ Steps include: 2. Replace specific operations in the SQL statement with process nodes. For example, as shown in the image below, we pre-join **customer** and **company** tables (implemented through a [join node](../user-guide/data-development/process-node.md#join)) and store the results in the **join_result** table. ![Join Table](../images/join_table_for_api.png) 3. Start the task to implement real-time data synchronization. -4. Based on the new table (join_result), [create and publish an API service](../user-guide/data-service/create-api-service.md). +4. Based on the new table (join_result), [create and publish an API service](../publish-apis/create-api-service.md). **Batch View Strategy** @@ -93,4 +93,4 @@ Steps include: 3. In the source node settings, turn on the custom query switch for full sync and add the SQL query statement needed during the full data sync phase (does not affect the incremental phase). ![Custom Query](../images/query_table_for_api.png) 4. After setting up the target node, click the settings in the upper right corner of the page, set the synchronization type to **full**, and then set a regular scheduling strategy based on real-time requirements. -5. Start the task and wait for it to run to completion before creating and publishing an API service based on the new table [create and publish an API service](../user-guide/data-service/create-api-service.md). \ No newline at end of file +5. Start the task and wait for it to run to completion before creating and publishing an API service based on the new table [create and publish an API service](../publish-apis/create-api-service.md). \ No newline at end of file diff --git a/docs/getting-started/README.md b/docs/getting-started/README.md index 524657a3..65cf3949 100644 --- a/docs/getting-started/README.md +++ b/docs/getting-started/README.md @@ -4,13 +4,39 @@ import Content from '../reuse-content/_all-features.md'; -With the digital transformation of enterprises, traditional applications and architectures are no longer able to meet the needs of businesses, and the issue of data silos has emerged as the most significant challenge. +Welcome to TapData! This guide will help you go from zero to delivering real-time, analysis-ready data services—without heavy ETL pipelines or complex SQL joins. -In the past, delivering data often required substantial time and effort to customize ETL logic or scripts. However, these capabilities were often not easily reusable in other business scenarios and necessitated repetition when requirements changed. Consequently, enterprises now seek a user-friendly approach to uniformly manage their data pipelines and achieve efficient data flow. +TapData makes it easy to move, transform, and publish data so it's always fresh, consistent, and ready to power your analytics, applications, and APIs. + +## Why Use Incremental Materialized Views? + +Imagine you’re a data professional in a growing business. Your team needs up-to-date insights—like combining customer profiles with transaction data or blending operational records with product information—to drive reporting, automate workflows, and deliver better customer experiences. + +In traditional databases, joining and transforming data across multiple systems often requires writing complex SQL queries or managing fragile ETL jobs. As data volumes grow, these processes can get slower and harder to maintain, impacting both performance and agility. + +With TapData's **Incremental Materialized Views (IMVs)**, you can define joins and transformations once, and TapData will continuously keep the results updated in real time. Your BI dashboards, internal tools, or customer-facing applications can query a single, analysis-ready view—no manual ETL, no production impact. + +## What Will You Do? + +You'll learn how to: + +1. **Install and Set Up TapData** + Deploy TapData and get your environment ready. + +2. **Connect Your Data Sources** + Add connections to your **source databases** (like MySQL) and **target MongoDB database** so TapData can sync and transform your data. + +3. **Create a Real-Time Incremental Materialized View** + Use the visual Guide to combine tables into a single, always-up-to-date view—making analysis simple and consistent. + +4. **Publish Your View as an API** + Expose your real-time data as a secure API endpoint, ready for dashboards, CRM systems, or any downstream applications. + + + +Ready to get started? Follow the sections below to build your real-time data pipeline from source to API. -TapData offers real-time data services that seamlessly integrate data replication and data transformation. 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zLs4F*Aq(Xx&G0x&S}dDusKAf+@6RSh2l{BUjR;{AjH>x#%uz-n>|XXp9sRo9EBM|C zTvDa4->$LzvTqII;;7q{1{NOq3!+8avMerM%m#(i;;69w^}^e#$(eZQ9*OUI@3+VK z>w5ZW5`Q1s5D`iHkC71}46HZ8xul+`f^XNoyxKR?K=!buz~F0rGZcYoOkweO2 literal 0 HcmV?d00001 diff --git a/docs/introduction/compare-editions.md b/docs/introduction/compare-editions.md index 00a8f672..0c2a46e4 100644 --- a/docs/introduction/compare-editions.md +++ b/docs/introduction/compare-editions.md @@ -206,19 +206,19 @@ Building on the free offerings of TapData Community for developers, TapData Ente Data API Services - API Publishing + API Publishing ✅ ➖ ➖ - API AuditStatistics + API AuditStatistics ✅ ➖ ➖ - API Documentation Generation + API Documentation Generation ✅ ➖ ➖ diff --git a/docs/introduction/use-cases.md b/docs/introduction/use-cases.md index f04da70b..a1b1ac31 100644 --- a/docs/introduction/use-cases.md +++ b/docs/introduction/use-cases.md @@ -15,7 +15,7 @@ TapData offers a one-stop real-time data synchronization experience, enabling yo * Supports a rich array of [data sources](../connectors/supported-data-sources.md) for data synchronization between homogeneous/heterogeneous data sources. * Supports event-triggered data processing logic and multiple data verification methods to ensure high reliability and low latency. * Enables deduplication, rule judgment, and other master data governance functions through powerful UDF capabilities. -* Supports low-code [API services](../user-guide/data-service/README.md) deployment for end-to-end data consumption. +* Supports low-code [API services](../publish-apis/README.md) deployment for end-to-end data consumption. ## Extract/Transform/Load Data (ETL) diff --git a/docs/mcp/introduction.md b/docs/mcp/introduction.md index 32a92515..d22d8cd2 100644 --- a/docs/mcp/introduction.md +++ b/docs/mcp/introduction.md @@ -29,7 +29,7 @@ To address these challenges, Tapdata provides the MCP service. It uses a standar - **Connect 100+ Data Sources with a Single MCP** One MCP instance can connect to [over 100 heterogeneous data sources](../connectors/supported-data-sources.md), including major databases and SaaS platforms—breaking data silos and providing a unified foundation for context-aware AI. - **Built for LLM Agents with Seamless Integration** - Offers standardized SSE support and no-code [REST API](../user-guide/data-service/README.md) setup, fully compatible with tools like Cursor, Claude, and other popular agent frameworks—bridging enterprise data and AI with ease. + Offers standardized SSE support and no-code [REST API](../publish-apis/README.md) setup, fully compatible with tools like Cursor, Claude, and other popular agent frameworks—bridging enterprise data and AI with ease. ## Learn More diff --git a/docs/user-guide/data-service/README.md b/docs/publish-apis/README.md similarity index 95% rename from docs/user-guide/data-service/README.md rename to docs/publish-apis/README.md index 82f1ff5f..8f8aaea8 100644 --- a/docs/user-guide/data-service/README.md +++ b/docs/publish-apis/README.md @@ -1,5 +1,5 @@ # Publish Data API -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; diff --git a/docs/user-guide/data-service/api-auth.md b/docs/publish-apis/api-auth.md similarity index 97% rename from docs/user-guide/data-service/api-auth.md rename to docs/publish-apis/api-auth.md index 94c69fbf..87920c17 100644 --- a/docs/user-guide/data-service/api-auth.md +++ b/docs/publish-apis/api-auth.md @@ -1,5 +1,5 @@ # API Authentication -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; diff --git a/docs/user-guide/data-service/api-query-params.md b/docs/publish-apis/api-query-params.md similarity index 98% rename from docs/user-guide/data-service/api-query-params.md rename to docs/publish-apis/api-query-params.md index 500fcad8..886b3048 100644 --- a/docs/user-guide/data-service/api-query-params.md +++ b/docs/publish-apis/api-query-params.md @@ -1,5 +1,5 @@ # API Query Parameters -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; @@ -33,7 +33,7 @@ registry_date: 02-04-1978 You can also use the Postman tool for a visualized invocation as shown in the following figure: -![Query Example](../../images/query_api.png) +![Query Example](../images/query_api.png) Next, we will introduce how to use various filters and provide examples, i.e., setting **Query Params** in the figure above, which corresponds to parameters after the question mark in the request URL. diff --git a/docs/user-guide/data-service/audit-api.md b/docs/publish-apis/audit-api.md similarity index 77% rename from docs/user-guide/data-service/audit-api.md rename to docs/publish-apis/audit-api.md index 1610672b..eece3a2a 100644 --- a/docs/user-guide/data-service/audit-api.md +++ b/docs/publish-apis/audit-api.md @@ -1,17 +1,17 @@ # Service Auditing -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; Service auditing is primarily used to view the access records of APIs. You can view the records of each request, including access type, personnel, IP address, access time, access result, failure reason, etc. You can also filter according to different conditions. -[Log in to TapData Platform](../log-in.md) and select **Data Services** > **Service Audit** on the left side of the page to view. +[Log in to TapData Platform](../user-guide/log-in.md) and select **Data Services** > **Service Audit** on the left side of the page to view. -![](../../images/audit_api_1.png) +![](../images/audit_api_1.png) Click **Details** to view detailed information about the corresponding request, as follows: -![](../../images/audit_api_2.png) +![](../images/audit_api_2.png) - **Log Details**: Includes basic information and various metrics of the access, such as API ID, name, IP address of the visitor, etc. - **Number of Access Records**: The total number of records for this access (entries). diff --git a/docs/user-guide/data-service/create-api-client.md b/docs/publish-apis/create-api-client.md similarity index 83% rename from docs/user-guide/data-service/create-api-client.md rename to docs/publish-apis/create-api-client.md index 8b6b0ff8..7c43e052 100644 --- a/docs/user-guide/data-service/create-api-client.md +++ b/docs/publish-apis/create-api-client.md @@ -1,5 +1,5 @@ # Create a Client -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; @@ -7,13 +7,13 @@ To manage and create API calls, an API client is required. Applications that dev ## Procedure -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../user-guide/log-in.md). 2. In the left navigation bar, select **Data Services** > **API Clients**. 3. Click **Create a Client** in the top right corner, fill in the relevant information, and click **OK**. - ![](../../images/create_api_client.png) + ![](../images/create_api_client.png) :::tip diff --git a/docs/user-guide/data-service/create-api-server.md b/docs/publish-apis/create-api-server.md similarity index 80% rename from docs/user-guide/data-service/create-api-server.md rename to docs/publish-apis/create-api-server.md index 39259376..e707b5db 100644 --- a/docs/user-guide/data-service/create-api-server.md +++ b/docs/publish-apis/create-api-server.md @@ -1,5 +1,5 @@ # Create a Server -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; @@ -7,7 +7,7 @@ API servers can be configured to expose API server addresses externally, and mul ## Procedure -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../user-guide/log-in.md). 2. In the left navigation bar, select **Data Services** > **API Servers**. @@ -15,7 +15,7 @@ API servers can be configured to expose API server addresses externally, and mul 4. In the pop-up dialog box, enter the server name and access address, and then click **OK**. - ![](../../images/create_api_server.png) + ![](../images/create_api_server.png) :::tip diff --git a/docs/user-guide/data-service/create-api-service.md b/docs/publish-apis/create-api-service.md similarity index 90% rename from docs/user-guide/data-service/create-api-service.md rename to docs/publish-apis/create-api-service.md index 2a5444be..d18ffabc 100644 --- a/docs/user-guide/data-service/create-api-service.md +++ b/docs/publish-apis/create-api-service.md @@ -1,5 +1,5 @@ # Create Data API -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; @@ -11,13 +11,13 @@ Currently, it supports Doris, MongoDB, MySQL, Oracle, PostgreSQL, SQL Server, an ## Procedure -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../user-guide/log-in.md). 2. In the left navigation bar, choose **Data Services** > **API List**. 3. Click **Create API** at the top right of the page, then complete the settings on the right panel according to the instructions below. - ![](../../images/create_api_service.png) + ![](../images/create_api_service.png) * **Service Name**: Enter a service name with business significance for easy identification in the future. * **Owner Application**: Select the affiliated application for convenient business category management. For more introduction, see [Application Management](manage-app.md). @@ -35,10 +35,10 @@ Currently, it supports Doris, MongoDB, MySQL, Oracle, PostgreSQL, SQL Server, an 6. (Optional) Click the service you just created, select the **Debug** tab in the right panel, enter request parameters, and click **Submit** to verify service availability. - ![Try Query API](../../images/try_query_api.png) + ![Try Query API](../images/try_query_api.png) 7. (Optional) For the data services you have created, you can select and export them for backup or sharing with other team members. You can also import data services. - ![Import/Export API Services](../../images/import_export_api.png) + ![Import/Export API Services](../images/import_export_api.png) Additionally, for published data services, you can select them and click **API Document Export** to quickly establish API usage documentation within the team. The exported Word file is in docx format and includes data service name, API description, GET/POST parameter descriptions. diff --git a/docs/user-guide/data-service/manage-app.md b/docs/publish-apis/manage-app.md similarity index 82% rename from docs/user-guide/data-service/manage-app.md rename to docs/publish-apis/manage-app.md index 5fe2af0e..52a0c7bc 100644 --- a/docs/user-guide/data-service/manage-app.md +++ b/docs/publish-apis/manage-app.md @@ -1,5 +1,5 @@ # Manage Application -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; @@ -7,7 +7,7 @@ To better manage and distinguish API services, we can categorize them based on b ## Procedure -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../user-guide/log-in.md). 2. In the left navigation bar, select **Data Services** > **Application List**. @@ -15,7 +15,7 @@ To better manage and distinguish API services, we can categorize them based on b 4. In the pop-up dialog, enter the application name and description, then click **Save**. - ![Create Application](../../images/create_app_category.png) + ![Create Application](../images/create_app_category.png) :::tip @@ -25,7 +25,7 @@ To better manage and distinguish API services, we can categorize them based on b 5. (Optional) Manage existing applications. - ![Manage Application](../../images/manage_app.png) + ![Manage Application](../images/manage_app.png) * **Edit**: You can edit the application's name and description information. * **Details**: You can view detailed information about the API services contained in the application, such as the publication status, etc. diff --git a/docs/user-guide/data-service/monitor-api-request.md b/docs/publish-apis/monitor-api-request.md similarity index 81% rename from docs/user-guide/data-service/monitor-api-request.md rename to docs/publish-apis/monitor-api-request.md index b976b6ec..2597fee3 100644 --- a/docs/user-guide/data-service/monitor-api-request.md +++ b/docs/publish-apis/monitor-api-request.md @@ -1,11 +1,11 @@ # API Status Monitor -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; Service Monitoring allows for the oversight and management of API requests on the platform, providing a view into global statistics and the status of each API. -![](../../images/monito_api_1.png) +![](../images/monito_api_1.png) The top section displays overview data, which includes the total number of APIs, the total number of rows accessed, etc. @@ -15,4 +15,4 @@ The bottom section shows an API list where you can view the status of each API. You can click on the left expand button to view detailed information. -![](../../images/monito_api_2.png) \ No newline at end of file +![](../images/monito_api_2.png) \ No newline at end of file diff --git a/docs/user-guide/data-service/query-via-graphql.md b/docs/publish-apis/query-via-graphql.md similarity index 81% rename from docs/user-guide/data-service/query-via-graphql.md rename to docs/publish-apis/query-via-graphql.md index 8f3f0d49..036fdd9d 100644 --- a/docs/user-guide/data-service/query-via-graphql.md +++ b/docs/publish-apis/query-via-graphql.md @@ -1,5 +1,5 @@ # Query API via GraphQL -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; @@ -9,7 +9,7 @@ In this article, we will introduce how to use the Postman to view API data servi ## Procedure -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../user-guide/log-in.md). 2. Retrieve the GraphQL query request address. @@ -17,7 +17,7 @@ In this article, we will introduce how to use the Postman to view API data servi 2. Obtain the API server's access address on this page. In this case, it's `192.168.1.200:3080`. - ![API Server List](../../images/api_server_list.png) + ![API Server List](../images/api_server_list.png) 3. In your browser, enter the API server’s access address and add the `/graphql` suffix, e.g., `http://192.168.1.200:3080/graphql`, to get the GraphQL query request address. @@ -29,23 +29,23 @@ In this article, we will introduce how to use the Postman to view API data servi 3. In the panel on the right, click the **Debug** tab, scroll down to the example code section to get the Access Token authentication information. - ![Get Access Token](../../images/obtain_access_token.png) + ![Get Access Token](../images/obtain_access_token.png) 4. Open the [Postman](https://www.postman.com/), and click **Workspaces** at the top of the software page, and select your Workspace. 5. Click **New**, and in the pop-up box, choose **GraphQL Request**. - ![Create GraphQL Request](../../images/create_graphql_request.png) + ![Create GraphQL Request](../images/create_graphql_request.png) 6. In the Request URL text box, enter the GraphQL query request address you retrieved in step 2. 7. Click **Authorization** below the text box, choose **Type** as **Bearer Token**, and fill in the Access Token authentication information obtained in step 3. - ![Set Authorization Information](../../images/graphql_authorization.png) + ![Set Authorization Information](../images/graphql_authorization.png) 8. Click on the Query tab, first click the refresh button to get all API lists, then find the target API, select the data you want to query, and finally click **Query**. - ![Execute Query](../../images/query_graphql.png) + ![Execute Query](../images/query_graphql.png) :::tip @@ -55,4 +55,4 @@ In this article, we will introduce how to use the Postman to view API data servi Upon successful query, the result of this query will be returned at the bottom of the page, as shown below. - ![Query Result](../../images/query_graphql_result.png) \ No newline at end of file + ![Query Result](../images/query_graphql_result.png) \ No newline at end of file diff --git a/docs/user-guide/data-service/query-via-restful.md b/docs/publish-apis/query-via-restful.md similarity index 80% rename from docs/user-guide/data-service/query-via-restful.md rename to docs/publish-apis/query-via-restful.md index 1802efea..55e3d513 100644 --- a/docs/user-guide/data-service/query-via-restful.md +++ b/docs/publish-apis/query-via-restful.md @@ -1,5 +1,5 @@ # Query API through RESTful -import Content from '../../reuse-content/_enterprise-features.md'; +import Content from '../reuse-content/_enterprise-features.md'; @@ -9,7 +9,7 @@ In this article, we will introduce how to use the Postman to invoke API requests ## Procedure -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../user-guide/log-in.md). 2. In the left navigation bar, select **Data Services** > **API List**. @@ -19,17 +19,17 @@ In this article, we will introduce how to use the Postman to invoke API requests 2. Scroll down to the service access area in the right-hand panel and get the address for service access. In this case, we will demonstrate the procedure using a **GET** type service as an example. - ![Get Service Access Address](../../images/obtain_restful_address.png) + ![Get Service Access Address](../images/obtain_restful_address.png) 3. Click the **Debug** tab, scroll down to **Example Code**, and obtain the Access Token authentication information. - ![Get Access Token](../../images/obtain_access_token.png) + ![Get Access Token](../images/obtain_access_token.png) 4. Open the [Postman tool](https://www.postman.com/), and click **Workspaces** at the top of the software page, and select your Workspace. 5. Click **New**, and in the pop-up dialog box, select **HTTP Request**. - ![Create HTTP Request](../../images/create_restful_request.png) + ![Create HTTP Request](../images/create_restful_request.png) 6. In the Request URL text box, enter the API query request address you obtained in step 3. @@ -37,11 +37,11 @@ In this article, we will introduce how to use the Postman to invoke API requests 8. Click **Authorization** below the text box, select **Type** as **Bearer Token**, and fill in the Access Token authentication information obtained in step 3. - ![Set Authorization Information](../../images/restful_authorization.png) + ![Set Authorization Information](../images/restful_authorization.png) 9. Click **Query**, the return example is shown below. - ![Query Result](../../images/restful_api_query_result.png) + ![Query Result](../images/restful_api_query_result.png) :::tip diff --git a/docs/release-notes/release-notes-on-prem.md b/docs/release-notes/release-notes-on-prem.md index 3889dbe9..e3d268f7 100644 --- a/docs/release-notes/release-notes-on-prem.md +++ b/docs/release-notes/release-notes-on-prem.md @@ -359,7 +359,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added table name and API address display functionality in the [Service Management List Page](../user-guide/data-service/create-api-service.md), supporting quick search and filtering by keywords. +- Added table name and API address display functionality in the [Service Management List Page](../publish-apis/create-api-service.md), supporting quick search and filtering by keywords. - Enhanced [Data Transformation Task Configuration](../user-guide/data-development/create-task.md) to support reloading of single table models in the source node model preview area, improving loading efficiency. - Introduced time detection functionality that automatically detects the time difference between the engine deployment server and the database server and displays it on the task monitoring page. @@ -680,7 +680,7 @@ import TabItem from '@theme/TabItem'; ### Enhancements -- Optimized the setting of [published API scope](../user-guide/data-service/create-api-service.md#settings), allowing adjustments without needing to publish. +- Optimized the setting of [published API scope](../publish-apis/create-api-service.md#settings), allowing adjustments without needing to publish. - When [configuring data replication tasks](../user-guide/copy-data/create-task.md), the **selectable table range** dropdown box allows quick filtering of tables with or without primary keys, where tables with primary keys include those without primary keys but with unique indexes. ### Bug Fixes @@ -753,7 +753,7 @@ import TabItem from '@theme/TabItem'; ### New Features - [Kafka data source](../connectors/mq-and-middleware/kafka.md) now supports custom message body formats. -- Added the [API interface documentation export feature](../user-guide/data-service/create-api-service.md#release330-export-api) to help teams quickly establish and enhance API usage documents. +- Added the [API interface documentation export feature](../publish-apis/create-api-service.md#release330-export-api) to help teams quickly establish and enhance API usage documents. - Shared mining functionality supports [configuring task alerts](../user-guide/advanced-settings/share-mining.md#release330-alert), allowing alerts via system notifications or emails for better task monitoring. - The [data validation function](../design-incremental-views/validate-views.md) allows setting data filters, enabling validation of specific conditional data only, reducing validation scope and increasing efficiency. - In data service platform mode, when dragging a data table to the platform cache layer to generate a task, it supports [setting the synchronization type of the task to be full or incremental](../user-guide/real-time-data-hub/daas-mode/create-daas-task.md#release330-task). @@ -819,13 +819,13 @@ import TabItem from '@theme/TabItem'; - [Data panel functionality](../user-guide/real-time-data-hub/etl-mode) now supports table-level traceability capabilities. You can view data lineage relationships through table details. - When [configuring data copy tasks](../user-guide/copy-data/create-task.md#310-table-model), you can view the table model in the processing node. -- Supports publishing API data services based on Doris data source [Release API Data Services](../user-guide/data-service/create-api-service.md). +- Supports publishing API data services based on Doris data source [Release API Data Services](../publish-apis/create-api-service.md). - [Cluster management](../user-guide/manage-system/manage-cluster.md) page allows downloading thread resource monitoring and data source usage data. ### Enhancements - Shared mining task management improved, supporting [starting/stopping mining tasks for individual tables](../user-guide/advanced-settings/share-mining.md#release310-share-mining). -- [Shared cache](../user-guide/advanced-settings/share-cache.md), [functions](../user-guide/advanced-settings/manage-function.md), [API data services](../user-guide/data-service/create-api-service.md) support import/export functions. +- [Shared cache](../user-guide/advanced-settings/share-cache.md), [functions](../user-guide/advanced-settings/manage-function.md), [API data services](../publish-apis/create-api-service.md) support import/export functions. - [Data verification](../design-incremental-views/validate-views.md) supports configuring alert rules and notification methods. - Auto-fill table logic for [data verification](../design-incremental-views/validate-views.md) has been optimized. - Frontend added explanations for the distinction between [standard JS](appendix/standard-js.md) and [enhanced JS](appendix/enhanced-js.md). @@ -858,8 +858,8 @@ import TabItem from '@theme/TabItem'; ### New Features -- [Integrated GraphQL capability](../user-guide/data-service/query-via-graphql.md), enriching API query methods. -- Added [application categorization capability for APIs](../user-guide/data-service/create-api-service.md), facilitating categorization based on business. +- [Integrated GraphQL capability](../publish-apis/query-via-graphql.md), enriching API query methods. +- Added [application categorization capability for APIs](../publish-apis/create-api-service.md), facilitating categorization based on business. - Introduced [time calculation processing node](../user-guide/data-development/process-node.md#time-calculation) for flexible handling of discrepancies in source and destination database time zones. - Introduced [full-scale partitioning capability](../case-practices/best-practice/full-breakpoint-resumption.md), currently only supported for MongoDB. diff --git a/docs/tapflow/tapflow-tutorial/build-real-time-wide-table.md b/docs/tapflow/tapflow-tutorial/build-real-time-wide-table.md index 4d702d28..50ccfccb 100644 --- a/docs/tapflow/tapflow-tutorial/build-real-time-wide-table.md +++ b/docs/tapflow/tapflow-tutorial/build-real-time-wide-table.md @@ -313,4 +313,4 @@ The following steps simulate data flow in a real-world business scenario by manu ## See also -[Publish Data as API](../../user-guide/data-service/create-api-service.md) \ No newline at end of file +[Publish Data as API](../../publish-apis/create-api-service.md) \ No newline at end of file diff --git a/sidebars.js b/sidebars.js index f15a89ca..00a31a52 100644 --- a/sidebars.js +++ b/sidebars.js @@ -224,8 +224,8 @@ const sidebars = { label: 'Create Views', link: { type: 'doc', id: 'design-incremental-views/create-views/README' }, items: [ - 'design-incremental-views/create-views/using-data-pipeline-ui', 'design-incremental-views/create-views/using-imv-guide', + 'design-incremental-views/create-views/using-data-pipeline-ui', 'design-incremental-views/create-views/using-tapflow', ], }, @@ -235,6 +235,23 @@ const sidebars = { ], }, { + type: 'category', + label: 'Publish Data as APIs ', + link: {type: 'doc', id: 'publish-apis/README'}, + items:[ + 'publish-apis/manage-app', + 'publish-apis/create-api-service', + 'publish-apis/create-api-client', + 'publish-apis/create-api-server', + 'publish-apis/audit-api', + 'publish-apis/monitor-api-request', + 'publish-apis/api-auth', + 'publish-apis/query-via-restful', + 'publish-apis/query-via-graphql', + 'publish-apis/api-query-params', + ] + }, + /*{ type: 'category', label: 'User Guide', link: {type: 'doc', id: 'user-guide/README'}, @@ -307,23 +324,6 @@ const sidebars = { 'user-guide/advanced-settings/manage-external-storage', ] }, - { - type: 'category', - label: 'Publish Data API ', - link: {type: 'doc', id: 'user-guide/data-service/README'}, - items:[ - 'user-guide/data-service/manage-app', - 'user-guide/data-service/create-api-service', - 'user-guide/data-service/create-api-client', - 'user-guide/data-service/create-api-server', - 'user-guide/data-service/audit-api', - 'user-guide/data-service/monitor-api-request', - 'user-guide/data-service/api-auth', - 'user-guide/data-service/query-via-restful', - 'user-guide/data-service/query-via-graphql', - 'user-guide/data-service/api-query-params', - ] - }, { type: 'category', label: 'Manage System', @@ -481,7 +481,7 @@ const sidebars = { 'release-notes/release-notes-on-prem', 'release-notes/release-notes-community' ] - }, + },*/ ] }; From 2c030e5947cd99c9272a887f9faf3d17ca0bacfb Mon Sep 17 00:00:00 2001 From: Walter Date: Thu, 10 Jul 2025 20:42:09 +0800 Subject: [PATCH 04/42] update build odh --- .../cloud-databases/huawei-cloud-gaussdb.md | 2 +- .../mq-and-middleware/kafka-enhanced.md | 2 +- docs/connectors/mq-and-middleware/kafka.md | 2 +- docs/connectors/mq-and-middleware/rabbitmq.md | 2 +- docs/connectors/mq-and-middleware/rocketmq.md | 2 +- docs/connectors/on-prem-databases/dameng.md | 2 +- docs/connectors/on-prem-databases/db2.md | 2 +- .../on-prem-databases/kingbase-es-r6.md | 2 +- .../on-prem-databases/mongodb-below34.md | 2 +- docs/connectors/on-prem-databases/mongodb.md | 2 +- docs/connectors/on-prem-databases/mysql.md | 2 +- .../on-prem-databases/oceanbase-oracle.md | 2 +- .../connectors/on-prem-databases/oceanbase.md | 2 +- docs/connectors/on-prem-databases/oracle.md | 4 +- .../on-prem-databases/postgresql.md | 2 +- .../connectors/on-prem-databases/sqlserver.md | 2 +- docs/connectors/on-prem-databases/sybase.md | 4 +- docs/connectors/on-prem-databases/tidb.md | 2 +- docs/connectors/on-prem-databases/vastbase.md | 2 +- docs/connectors/saas-and-api/coding.md | 2 +- .../create-views/using-data-pipeline-ui.md | 2 +- .../create-views/using-imv-guide.md | 2 +- .../create-views/using-tapflow.md | 244 +++++++++++++++++- docs/design-incremental-views/overview.md | 2 +- docs/getting-started/connect-data-source.md | 2 +- docs/operational-data-hub/adm-layer/README.md | 6 + .../adm-layer/integrate-apis.md | 1 + .../adm-layer/sync-downstream.md | 1 + docs/operational-data-hub/advanced/README.md | 6 + .../advanced}/custom-node.md | 4 +- .../advanced}/manage-external-storage.md | 2 +- .../advanced}/manage-function.md | 4 +- .../advanced}/share-cache.md | 4 +- .../advanced}/share-mining.md | 0 docs/operational-data-hub/fdm-layer/README.md | 6 + .../fdm-layer/monitor-sync-task.md | 1 + .../fdm-layer/replicate-data.md | 1 + .../fdm-layer/validate-data-quality.md | 1 + docs/{ => operational-data-hub}/mcp/README.md | 6 +- .../mcp/introduction.md | 12 +- .../mcp/quick-start.md | 18 +- docs/operational-data-hub/mdm-layer/README.md | 6 + .../mdm-layer/build-view-in-odh.md | 1 + .../mdm-layer/define-data-categories.md | 1 + .../mdm-layer/prepare-and-transform.md | 1 + .../plan-data-platform.md | 1 + docs/release-notes/release-notes-cloud.md | 4 +- docs/release-notes/release-notes-community.md | 2 +- docs/release-notes/release-notes-on-prem.md | 22 +- docs/what-is-tapdata.md | 2 +- sidebars.js | 63 +++++ 51 files changed, 405 insertions(+), 67 deletions(-) create mode 100644 docs/operational-data-hub/adm-layer/README.md create mode 100644 docs/operational-data-hub/adm-layer/integrate-apis.md create mode 100644 docs/operational-data-hub/adm-layer/sync-downstream.md create mode 100644 docs/operational-data-hub/advanced/README.md rename docs/{user-guide/advanced-settings => operational-data-hub/advanced}/custom-node.md (92%) rename docs/{user-guide/advanced-settings => operational-data-hub/advanced}/manage-external-storage.md (96%) rename docs/{user-guide/advanced-settings => operational-data-hub/advanced}/manage-function.md (86%) rename docs/{user-guide/advanced-settings => operational-data-hub/advanced}/share-cache.md (96%) rename docs/{user-guide/advanced-settings => operational-data-hub/advanced}/share-mining.md (100%) create mode 100644 docs/operational-data-hub/fdm-layer/README.md create mode 100644 docs/operational-data-hub/fdm-layer/monitor-sync-task.md create mode 100644 docs/operational-data-hub/fdm-layer/replicate-data.md create mode 100644 docs/operational-data-hub/fdm-layer/validate-data-quality.md rename docs/{ => operational-data-hub}/mcp/README.md (55%) rename docs/{ => operational-data-hub}/mcp/introduction.md (64%) rename docs/{ => operational-data-hub}/mcp/quick-start.md (91%) create mode 100644 docs/operational-data-hub/mdm-layer/README.md create mode 100644 docs/operational-data-hub/mdm-layer/build-view-in-odh.md create mode 100644 docs/operational-data-hub/mdm-layer/define-data-categories.md create mode 100644 docs/operational-data-hub/mdm-layer/prepare-and-transform.md create mode 100644 docs/operational-data-hub/plan-data-platform.md diff --git a/docs/connectors/cloud-databases/huawei-cloud-gaussdb.md b/docs/connectors/cloud-databases/huawei-cloud-gaussdb.md index 408641c9..b7429990 100644 --- a/docs/connectors/cloud-databases/huawei-cloud-gaussdb.md +++ b/docs/connectors/cloud-databases/huawei-cloud-gaussdb.md @@ -102,7 +102,7 @@ To achieve incremental data reading, TapData requires Huawei Cloud GaussDB's [lo * **Advanced Settings** - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. * **Contain table**: The default option is **All**, which includes all tables. Alternatively, you can select **Custom** and manually specify the desired tables by separating their names with commas (,). diff --git a/docs/connectors/mq-and-middleware/kafka-enhanced.md b/docs/connectors/mq-and-middleware/kafka-enhanced.md index a3713316..e1d301cd 100644 --- a/docs/connectors/mq-and-middleware/kafka-enhanced.md +++ b/docs/connectors/mq-and-middleware/kafka-enhanced.md @@ -82,7 +82,7 @@ Since Kafka as a message queue only supports append operations, avoid duplicate * **ACK Confirmation Mechanism**: Choose based on business needs: No confirmation, write to Master partition only, write most ISR partitions (default), or write to all ISR partitions. * **Compression Type**: Supports **lz4** (default), **gzip**, **snappy**, **zstd**. Enable compression for large messages to improve transmission efficiency. * **Extended Configuration**: Supports custom advanced connection properties for Kafka managers, producers, and consumers for optimization in specific scenarios. - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. * **Include Tables**: The default option is **All**, which includes all tables. Alternatively, you can select **Custom** and manually specify the desired topics by separating their names with commas (,). * **Exclude Tables**: Once the switch is enabled, you have the option to specify topics to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple topics to be excluded. * **Agent settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. diff --git a/docs/connectors/mq-and-middleware/kafka.md b/docs/connectors/mq-and-middleware/kafka.md index 4c64d506..932cba71 100644 --- a/docs/connectors/mq-and-middleware/kafka.md +++ b/docs/connectors/mq-and-middleware/kafka.md @@ -78,7 +78,7 @@ In the subsequent configuration of data replication/data transformation tasks, y * Write to all ISR partitions. * **Message compression type**: When dealing with large message volumes, enabling compression can significantly enhance transmission efficiency. Supports gzip, snappy, lz4, and zstd. By leveraging compression, you can effectively reduce the size of the messages, resulting in improved data transfer efficiency. * **Ignore push message exception**: Once the switch is turned on, the system will continue to record the offset of the relevant message; however, it will not push any further messages. It's important to note that this approach carries a risk of potential data loss since the system will not deliver subsequent messages. - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. * **Agent settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. * **Model load time**: If there are less than 10,000 models in the data source, their information will be updated every hour. But if the number of models exceeds 10,000, the refresh will take place daily at the time you have specified. diff --git a/docs/connectors/mq-and-middleware/rabbitmq.md b/docs/connectors/mq-and-middleware/rabbitmq.md index c92996ec..410e5bf4 100644 --- a/docs/connectors/mq-and-middleware/rabbitmq.md +++ b/docs/connectors/mq-and-middleware/rabbitmq.md @@ -67,7 +67,7 @@ rabbitmqctl set_user_tags username management - **Account / Password**: Provide the credentials of the RabbitMQ user with both AMQP and HTTP API permissions. If not created yet, refer to the Prerequisites section above. - **Virtual Host**: Defaults to `/`. If using a custom vhost, ensure the user has access to it. - **Advanced Settings** - - **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + - **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. - **Agent settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. - **Model Load Time**: If there are less than 10,000 models in the data source, their schema will be updated every hour. But if the number of models exceeds 10,000, the refresh will take place daily at the time you have specified. diff --git a/docs/connectors/mq-and-middleware/rocketmq.md b/docs/connectors/mq-and-middleware/rocketmq.md index 20b661e5..3a7a5804 100644 --- a/docs/connectors/mq-and-middleware/rocketmq.md +++ b/docs/connectors/mq-and-middleware/rocketmq.md @@ -40,7 +40,7 @@ Before configuring a RocketMQ connection, make sure your Tapdata platform or Age - **MQ Port**: Service port of RocketMQ. Default is **9876**. Tapdata reads message data via this port. - **Account / Password**: Enter the configured RocketMQ username and password. - **Advanced Settings** - - **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + - **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. - **Agent Settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. - **Model Load Time**: If there are less than 10,000 models in the data source, their schema will be updated every hour. But if the number of models exceeds 10,000, the refresh will take place daily at the time you have specified. - **Enable Heartbeat Table**: When the connection type is source or target, you can enable this switch. TapData will create a `_tapdata_heartbeat_table` heartbeat table in the source database and update it every 10 seconds (requires appropriate permissions) to monitor the health of the data source connection and tasks. The heartbeat task starts automatically after the data replication/development task starts, and you can view the heartbeat task in the data source editing page. diff --git a/docs/connectors/on-prem-databases/dameng.md b/docs/connectors/on-prem-databases/dameng.md index 4572de40..fde6453b 100644 --- a/docs/connectors/on-prem-databases/dameng.md +++ b/docs/connectors/on-prem-databases/dameng.md @@ -38,7 +38,7 @@ DM versions 7.x and 8.x (standalone architecture) ## Considerations -* Incremental log mining uses official features to load log files into temporary views and filter the DML and DDL logs of the tracked tables. This is similar to Oracle's LogMiner and may consume some database performance. If there are multiple synchronization tasks with scattered data tables, it is recommended to use [Shared Mining](../../user-guide/advanced-settings/share-mining.md) to reduce database load. +* Incremental log mining uses official features to load log files into temporary views and filter the DML and DDL logs of the tracked tables. This is similar to Oracle's LogMiner and may consume some database performance. If there are multiple synchronization tasks with scattered data tables, it is recommended to use [Shared Mining](../../operational-data-hub/advanced/share-mining.md) to reduce database load. * When the database log space is insufficient, you can use the command `SF_ARCHIVELOG_DELETE_BEFORE_TIME(SYSDATE-1);` to clean up archive logs from the day before, retaining only the logs from the last day. You can also specify the number of days to retain based on your needs. ## Preparation diff --git a/docs/connectors/on-prem-databases/db2.md b/docs/connectors/on-prem-databases/db2.md index 73877d4f..fcff5560 100644 --- a/docs/connectors/on-prem-databases/db2.md +++ b/docs/connectors/on-prem-databases/db2.md @@ -163,7 +163,7 @@ Before connecting to a Db2 database, you need to complete account authorization * **Advanced Settings** * **Time Zone**: Default is UTC (0). If changed to another timezone, it will impact the synchronization time, particularly for fields without timezone information, such as TIMESTAMP and TIME types. However, DATE types will remain unaffected. - * **CDC Log Caching**: [Extract the incremental logs](../../user-guide/advanced-settings/share-mining.md) from the source database. This allows multiple tasks to share the incremental log extraction process from the same source, reducing the load on the source database. When enabled, you also need to select a storage location for the incremental log information. + * **CDC Log Caching**: [Extract the incremental logs](../../operational-data-hub/advanced/share-mining.md) from the source database. This allows multiple tasks to share the incremental log extraction process from the same source, reducing the load on the source database. When enabled, you also need to select a storage location for the incremental log information. * **Include Tables**: By default, all tables are included. You can choose to customize and specify the tables to include, separated by commas. * **Exclude Tables**: When enabled, you can specify tables to exclude, separated by commas. * **Agent Settings**: The default is automatic assignment by the platform. You can also manually specify an Agent. diff --git a/docs/connectors/on-prem-databases/kingbase-es-r6.md b/docs/connectors/on-prem-databases/kingbase-es-r6.md index 5ebeca54..4c30be32 100644 --- a/docs/connectors/on-prem-databases/kingbase-es-r6.md +++ b/docs/connectors/on-prem-databases/kingbase-es-r6.md @@ -225,7 +225,7 @@ When KingbaseES-R6 is used as a target, you can choose write strategies through * **Password**: The password for the database user. * **logPluginName**: To capture incremental data from KingbaseES-R6, follow the [Prerequisites](#prerequisites) to install the required plugin. * **Advanced Settings**: - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. * **Contain Table**: The default option is **All**, which includes all tables. Alternatively, you can select **Custom** and manually specify the desired tables by separating their names with commas (,). * **Exclude Tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. * **Agent Settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. diff --git a/docs/connectors/on-prem-databases/mongodb-below34.md b/docs/connectors/on-prem-databases/mongodb-below34.md index 773ae16d..8252f6b8 100644 --- a/docs/connectors/on-prem-databases/mongodb-below34.md +++ b/docs/connectors/on-prem-databases/mongodb-below34.md @@ -168,7 +168,7 @@ When using MongoDB version 3.2, you also need to grant read permissions for the * **Direct Connection**: TapData Cloud will connect directly to the database and you need to set up security rules to allow access. * **Number of Sampling Records for Loading Model**: Specifies the number of records to sample when loading the schema to ensure that the generated schema structure matches the source data. Default is **1000**. * **Fields Load Limit For Each Collection**: Limits the maximum number of fields loaded per collection to avoid slow schema generation due to excessive fields. Default is **1024**. - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. * **Contain Table**: The default option is All, which includes all tables. Alternatively, you can select Custom and manually specify the desired tables by separating their names with commas (,). * **Exclude Tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. * **Agent Settings**: Defaults to Platform automatic allocation, you can also manually specify an agent. diff --git a/docs/connectors/on-prem-databases/mongodb.md b/docs/connectors/on-prem-databases/mongodb.md index d054ce13..90add087 100644 --- a/docs/connectors/on-prem-databases/mongodb.md +++ b/docs/connectors/on-prem-databases/mongodb.md @@ -163,7 +163,7 @@ db.createUser( * **Direct Connection**: TapData Cloud will connect directly to the database and you need to set up security rules to allow access. * **Number of Sampling Records for Loading Model**: Specifies the number of records to sample when loading the schema to ensure that the generated schema structure matches the source data. Default is **1000**. * **Fields Load Limit For Each Collection**: Limits the maximum number of fields loaded per collection to avoid slow schema generation due to excessive fields. Default is **1024**. - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. * **Contain Table**: The default option is All, which includes all tables. Alternatively, you can select Custom and manually specify the desired tables by separating their names with commas (,). * **Exclude Tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. * **Agent Settings**: Defaults to Platform automatic allocation, you can also manually specify an agent. diff --git a/docs/connectors/on-prem-databases/mysql.md b/docs/connectors/on-prem-databases/mysql.md index 4c000458..0218fd09 100644 --- a/docs/connectors/on-prem-databases/mysql.md +++ b/docs/connectors/on-prem-databases/mysql.md @@ -338,7 +338,7 @@ To further enhance the security of the data connection, you can choose to enable * **Advanced Settings** * **Connection Parameter String**: Default is `useUnicode=yes&characterEncoding=UTF-8`, indicating that data transmission will use the UTF-8 encoded Unicode character set, which helps avoid character encoding issues. * **Timezone**: Default is set to 0 timezone. If configured to another timezone, it will affect fields without timezone information (e.g., `datetime`). Fields with timezone information (e.g., `timestamp`, `date`, and `time`) are not affected. - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. * **Contain Table**: The default option is **All**, which includes all tables. Alternatively, you can select **Custom** and manually specify the desired tables by separating their names with commas (,). * **Exclude Tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. * **Agent Settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. diff --git a/docs/connectors/on-prem-databases/oceanbase-oracle.md b/docs/connectors/on-prem-databases/oceanbase-oracle.md index 856172d3..384fd7f3 100644 --- a/docs/connectors/on-prem-databases/oceanbase-oracle.md +++ b/docs/connectors/on-prem-databases/oceanbase-oracle.md @@ -177,7 +177,7 @@ import TabItem from '@theme/TabItem'; - **CDC Password**: Password for the CDC account. - **Time Zone**: Defaults to UTC (UTC+0). If changed, only affects time zone–less types like `TIMESTAMP`. `TIMESTAMP WITH TIME ZONE` and `DATE` are unaffected. - **Advanced Settings** - - **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + - **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. - **Agent Settings**: Defaults to **Platform Automatic Allocation**, you can also manually specify an agent. - **Model Load Time**: If there are less than 10,000 models in the data source, their schema will be updated every hour. But if the number of models exceeds 10,000, the refresh will take place daily at the time you have specified. - **Enable Heartbeat Table**: When OceanBase is used as **source and target** or **source**, you can enable this option. Tapdata will create a `_tapdata_heartbeat_table` in the source and update it every 10 seconds for health monitoring (requires proper permissions). diff --git a/docs/connectors/on-prem-databases/oceanbase.md b/docs/connectors/on-prem-databases/oceanbase.md index 0c3f41f1..a8ed06d7 100644 --- a/docs/connectors/on-prem-databases/oceanbase.md +++ b/docs/connectors/on-prem-databases/oceanbase.md @@ -131,7 +131,7 @@ import TabItem from '@theme/TabItem'; - **Log Proxy Port**: Port for the log proxy service (used for Binlog/incremental sync). Default is **2983**. - **Time Zone**: Default is UTC (UTC+0). If the source or target database uses a different time zone, configure accordingly. Affects time zone–less fields (e.g., `DATETIME`), but not `TIMESTAMP`, `DATE`, or `TIME`. - **Advanced Settings** - - **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + - **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. - **Agent Settings**: Defaults to **Platform Automatic Allocation**, you can also manually specify an agent. - **Model Load Time**: If there are less than 10,000 models in the data source, their schema will be updated every hour. But if the number of models exceeds 10,000, the refresh will take place daily at the time you have specified. - **Enable Heartbeat Table**: When OceanBase is used as **source and target** or **source**, you can enable this option. Tapdata will create a `_tapdata_heartbeat_table` in the source and update it every 10 seconds for health monitoring (requires proper permissions). diff --git a/docs/connectors/on-prem-databases/oracle.md b/docs/connectors/on-prem-databases/oracle.md index 11416e4b..086c7ea1 100644 --- a/docs/connectors/on-prem-databases/oracle.md +++ b/docs/connectors/on-prem-databases/oracle.md @@ -58,7 +58,7 @@ To improve data change capture efficiency, TapData supports both the native data :::tip -- When using the traditional LogMiner method, each data synchronization task will start a LogMiner session. For large-scale incremental changes, it can occupy up to one CPU core; for smaller changes, it may use about 0.25 CPU cores. It is recommended to dedicate a separate mining process for large data tasks, while small tasks can use [shared mining](../../user-guide/advanced-settings/share-mining.md). +- When using the traditional LogMiner method, each data synchronization task will start a LogMiner session. For large-scale incremental changes, it can occupy up to one CPU core; for smaller changes, it may use about 0.25 CPU cores. It is recommended to dedicate a separate mining process for large data tasks, while small tasks can use [shared mining](../../operational-data-hub/advanced/share-mining.md). - When using the Raw Log method, due to its high parsing performance, it may occupy CPU, memory, and disk I/O resources during peak times. It is recommended to connect to standby nodes to minimize the impact on business operations. ::: @@ -515,7 +515,7 @@ XE= * **Use SSL**: Select whether to enable SSL connection for the data source to enhance data security. After enabling this feature, you will need to upload SSL certificate files and enter the certificate password. The relevant files can be obtained from [Enabling SSL Connection](#ssl). * **Timezone for datetime**: Default is set to UTC (0 timezone). If changed to another timezone, fields without timezone (such as TIMESTAMP) will be affected, while fields with timezone (such as TIMESTAMP WITH TIME ZONE) and DATE types will remain unaffected. * **Socket Read Timeout**: Set this parameter to avoid zombie connections that may occur due to unexpected situations (e.g., socket interaction timeout) when LogMiner automatically mines incremental changes. The default value of 0 means no timeout is set. - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. * **Contain table**: The default option is **All**, which includes all tables. Alternatively, you can select **Custom** and manually specify the desired tables by separating their names with commas (,). * **Exclude tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. * **Agent settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. diff --git a/docs/connectors/on-prem-databases/postgresql.md b/docs/connectors/on-prem-databases/postgresql.md index 3268101a..4db9766a 100644 --- a/docs/connectors/on-prem-databases/postgresql.md +++ b/docs/connectors/on-prem-databases/postgresql.md @@ -435,7 +435,7 @@ To further enhance the security of the data pipeline, you can enable SSL (Secure * **Advanced Settings** * **ExtParams**: Additional connection parameters, default is empty. * **Timezone**: Defaults to timezone 0. You can also specify it manually according to business needs. Configuring a different timezone will affect timezone-related fields, such as DATE, TIMESTAMP, TIMESTAMP WITH TIME ZONE, etc. - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. * **Contain Table**: The default option is **All**, which includes all tables. Alternatively, you can select **Custom** and manually specify the desired tables by separating their names with commas (,). * **Exclude Tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. * **Agent Settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. diff --git a/docs/connectors/on-prem-databases/sqlserver.md b/docs/connectors/on-prem-databases/sqlserver.md index 8769efba..635135a1 100644 --- a/docs/connectors/on-prem-databases/sqlserver.md +++ b/docs/connectors/on-prem-databases/sqlserver.md @@ -302,7 +302,7 @@ After completing the configuration, be sure to securely store the certificate-re * **Additional Connection Parameters**: Additional connection parameters, default empty. * **Timezone**: The default timezone is UTC (0 timezone). If another timezone is configured, it will affect synchronization times for fields without timezone information, such as `time`, `datetime`, `datetime2`, and `smalldatetime`. Fields with timezone information (e.g., `datetimeoffset`) and the `date` type will not be affected. * **Use SSL/TLS**: Select whether to enable SSL for a more secure connection. If enabled, you will need to upload a CA certificate, certificate password, and server hostname details (see the [Enable SSL](#ssl) section for files). - * **Using CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + * **Using CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. * **Contain Table**: The default option is **All**, which includes all tables. Alternatively, you can select **Custom** and manually specify the desired tables by separating their names with commas (,). * **Exclude Tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. * **Agent Settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. diff --git a/docs/connectors/on-prem-databases/sybase.md b/docs/connectors/on-prem-databases/sybase.md index 21215fdd..c64e6de4 100644 --- a/docs/connectors/on-prem-databases/sybase.md +++ b/docs/connectors/on-prem-databases/sybase.md @@ -42,7 +42,7 @@ DML Operations: INSERT, UPDATE, DELETE - DDL event capture and application are not supported. If a DDL event occurs during synchronization, you must stop the task and re-run a full data sync. -- Due to Sybase limitations, if multiple synchronization tasks are enabled on the same database, you must enable **[Shared Mining](../../user-guide/advanced-settings/share-mining.md)** in the Sybase connection and task configurations to prevent new tasks from failing to correctly sync incremental data. +- Due to Sybase limitations, if multiple synchronization tasks are enabled on the same database, you must enable **[Shared Mining](../../operational-data-hub/advanced/share-mining.md)** in the Sybase connection and task configurations to prevent new tasks from failing to correctly sync incremental data. - Due to Sybase's cache limitations when executing SQL statements, if you encounter the error **"Procedure cache exhausted before a query plan could be found."** while loading the schema, you can adjust the cache size by running the following command: @@ -124,7 +124,7 @@ DML Operations: INSERT, UPDATE, DELETE * **Password**: The password associated with the database account. * **Byte Order**: Choose between big-endian and little-endian based on the machine architecture. For example, Linux machines typically use little-endian, while some dedicated Sybase machines use big-endian. Incorrect configuration may cause inconsistent data during the incremental synchronization phase. * **Advanced Settings** - * **Shared Mining**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select external storage to store the incremental log information. + * **Shared Mining**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select external storage to store the incremental log information. * **Include Tables**: Default is **All**. You can customize and specify the topics to include by separating table names with commas (`,`). * **Exclude Tables**: When enabled, you can specify topics to exclude, separated by commas (`,`). * **Agent Settings**: Defaults to **Platform Automatic Allocation**, but you can manually assign an agent. diff --git a/docs/connectors/on-prem-databases/tidb.md b/docs/connectors/on-prem-databases/tidb.md index 97aba13e..60f2228a 100644 --- a/docs/connectors/on-prem-databases/tidb.md +++ b/docs/connectors/on-prem-databases/tidb.md @@ -128,7 +128,7 @@ GRANT SELECT, INSERT, UPDATE, DELETE, ALTER, CREATE, DROP ON *.* TO 'username'; * **Advanced Settings** * **Other Connection String Parameters**: Additional connection parameters, which are empty by default. * **Timezone**: The default time zone is 0 (UTC). If another time zone is configured, it may affect the synchronization of fields without time zone information (e.g., `datetime`). Fields with time zone information (e.g., `timestamp with time zone`) and `date` and `time` types will not be affected. - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. * **Contain Table**: The default option is All, which includes all tables. Alternatively, you can select Custom and manually specify the desired tables by separating their names with commas (,). * **Exclude Tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. * **Agent Settings**: Defaults to Platform automatic allocation, you can also manually specify an agent. diff --git a/docs/connectors/on-prem-databases/vastbase.md b/docs/connectors/on-prem-databases/vastbase.md index 4d6e28f0..7e604d6a 100644 --- a/docs/connectors/on-prem-databases/vastbase.md +++ b/docs/connectors/on-prem-databases/vastbase.md @@ -226,7 +226,7 @@ In this example, we will use Vastbase's built-in [wal2json](https://docs.vastdat * **Advanced Settings** * **Additional Parameters**: Additional connection parameters, default is empty. * **Timezone**: Defaults to the time zone used by the database, which you can also manually specify according to your business needs. - * **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. + * **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs, this feature allows multiple tasks to share incremental logs from the source database, avoiding redundant reads and thus significantly reducing the load on the source database during incremental synchronization. Upon enabling this feature, an external storage should be selected to store the incremental log. * **Contain Table**: The default option is **All**, which includes all tables. Alternatively, you can select **Custom** and manually specify the desired tables by separating their names with commas (,). * **Exclude tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. * **Agent Settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. diff --git a/docs/connectors/saas-and-api/coding.md b/docs/connectors/saas-and-api/coding.md index 3525d794..bf09193c 100644 --- a/docs/connectors/saas-and-api/coding.md +++ b/docs/connectors/saas-and-api/coding.md @@ -71,7 +71,7 @@ For more details on data structures and event support, refer to Coding's [offici - **Advanced Settings**: Configure based on your business needs: - - **CDC Log Caching**: [Mining the source database's](../../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + - **CDC Log Caching**: [Mining the source database's](../../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. - **Agent Settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. - **Model Load Time**: If there are less than 10,000 models in the data source, their schema will be updated every hour. But if the number of models exceeds 10,000, the refresh will take place daily at the time you have specified. diff --git a/docs/design-incremental-views/create-views/using-data-pipeline-ui.md b/docs/design-incremental-views/create-views/using-data-pipeline-ui.md index 8480fb7e..63f5f837 100644 --- a/docs/design-incremental-views/create-views/using-data-pipeline-ui.md +++ b/docs/design-incremental-views/create-views/using-data-pipeline-ui.md @@ -76,7 +76,7 @@ Follow these steps to design an advanced real-time view with nested user profile 3. Map the join key to `product_id` so product details are included in each order item. - Document nests the product data as an object, while **Flatten** merges product fields directly into order items—choose the style that fits your target schema. + Document nests the product data as an object, while **Flatten** merges product fields directly into **order_items**—choose the style that fits your target schema. 8. Configure the target output. diff --git a/docs/design-incremental-views/create-views/using-imv-guide.md b/docs/design-incremental-views/create-views/using-imv-guide.md index 3e18c835..e2ceadbd 100644 --- a/docs/design-incremental-views/create-views/using-imv-guide.md +++ b/docs/design-incremental-views/create-views/using-imv-guide.md @@ -86,7 +86,7 @@ Follow these steps to design your advanced real-time view with nested user profi Once your task is running, log in to your target MongoDB to explore the new view. Here’s an example document illustrating the nested structure: -```json +```javascript { _id: ObjectId('6868d470d9b9cd512feb6b69'), order_id: 'o2001', diff --git a/docs/design-incremental-views/create-views/using-tapflow.md b/docs/design-incremental-views/create-views/using-tapflow.md index f5ee81c0..ce12ce07 100644 --- a/docs/design-incremental-views/create-views/using-tapflow.md +++ b/docs/design-incremental-views/create-views/using-tapflow.md @@ -5,4 +5,246 @@ Use TapData’s TapFlow to build real-time, incremental materialized views with :::tip This approach extends the scenario in [Design Incremental Materialized Views](../overview.md) and shows you how to implement it programmatically with TapFlow. -::: \ No newline at end of file +::: + +```mdx-code-block +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; +``` + +## Prerequisites + +- Install TapShell and complete initialization. + +- Make sure you've already connected your **source MySQL database** and **target MongoDB database** in TapData. + + If you need help setting up connections, see [Connect Data Sources](https://chatgpt.com/getting-started/connect-data-source.md) for detailed instructions. + +## Procedure + +```mdx-code-block + + +``` + +You can build the real-time, incremental materialized view directly in **TapShell** using these steps: + +1. Launch the TapShell interactive CLI: + + ```bash + tap + ``` + +2. Define the flow and set **orders** as the main source table: + + ```python + # Create the Flow and set "orders" as the root table + orderView = Flow("Order_Advanced_View") \ + .read_from("MySQL_Demo.orders") + ``` + +3. Add **lookup** steps to join related tables. Each `.lookup()` call merges data into the main stream at the specified path using the provided join key. + + ```python + # Embed 'users' as a nested document + orderView.lookup( + "MySQL_Demo.users", + path="user_info", + type="object", + relation=[["user_id", "user_id"]] + ) + + # Add 'order_items' as an array + orderView.lookup( + "MySQL_Demo.order_items", + path="product_items", + type="array", + relation=[["order_id", "order_id"]] + ) + + # Flatten 'products' into each order_item + orderView.lookup( + "MySQL_Demo.products", + path="product_items.product", + type="object", + relation=[["product_items.product_id", "product_id"]] + ) + ``` + +

Understanding type and path in .lookup() + These parameters control **how** related data is merged: + + - **type="object"** – embeds the joined record as a nested document at `path`. Ideal for one-to-one enrichments like adding user profiles inside orders. + - **type="array"** – collects multiple matching records as an array of documents at `path`. Perfect for one-to-many relationships, such as order items. + + :::tip + + To flatten joined fields directly into the parent document—so they appear at the same level without any nesting—use `type="object"` and simply leave `path` empty (`path=""`). This creates a wide-table schema that merges all fields into the root level. + + ::: + +
+ +4. Specify the target MongoDB collection to store the resulting view: + + ```python + # Define the MongoDB target collection + orderView.write_to("MongoDB_Demo.orders_advanced_imv") + # Save the task + orderView.save() + ``` + +5. Start the flow and monitor its status: + + ```python + orderView.start() + status orderView + ``` + + Example output: + + ``` + job current status is: running, qps is: 3521.2, total rows: 99441, delay is: 332ms + ``` + + + + +Alternatively, you can define the same real-time materialized view as a standalone **Python script** that you can run with: + +```bash +python real_time_order_view.py +``` + +Here's the complete example: + +```python title="real_time_order_view.py" +""" +Example: Building a real-time order-wide view (single view) with TapFlow Python SDK + +This script reads from multiple MySQL source tables in the 'MySQL_Demo' connection, +joins them into a nested order document, and writes the result to a MongoDB collection. +""" + +from tapflow.lib import * +from tapflow.cli.cli import init + +# Initialize TapFlow configuration +init() + +# Create a new data flow task +orderView = Flow("Order_SingleView_Sync") + +# Set the main source table for orders +orderView.read_from("MySQL_Demo.orders") + +# Add user profile as a nested document +orderView.lookup( + "MySQL_Demo.users", + path="user_info", + type="object", + relation=[["user_id", "user_id"]] +) + +# Add order items as an array +orderView.lookup( + "MySQL_Demo.order_items", + path="product_items", + type="array", + relation=[["order_id", "order_id"]] +) + +# Flatten product details into each order_item +orderView.lookup( + "MySQL_Demo.products", + path="product_items.product", + type="object", + relation=[["product_items.product_id", "product_id"]] +) + +# Define the MongoDB target collection +orderView.write_to("MongoDB_Demo.orderSingleView") + +# Save and start the flow +orderView.save() +orderView.start() +print("Real-time wide-table task started.") + +# Monitor task status +while True: + current_status = orderView.status() + if current_status == "running": + print(f"Task status: {current_status}") + break + elif current_status == "error": + print("Task failed to start. Please check your configuration or logs.") + break +``` + +**Example Output** +When you run the script, you should see logs similar to: + +``` +Real-time wide-table task started. +Task status: running +``` + + + + + + +## Verify Results + +Once your task is running, log in to your target MongoDB to explore the new view. Here’s an example document illustrating the nested structure: + +```javascript +{ + _id: ObjectId('6868d470d9b9cd512feb6b69'), + order_id: 'o2001', + order_amount: Decimal128('759.97'), + order_status: 'PAID', + order_time: 2025-01-02T10:00:00.000Z, + payment_method: 'CREDIT_CARD', + user_id: 'u001', + product_items: [ + { + quantity: 1, + item_id: 'i3001', + product_id: 'p101', + order_id: 'o2001', + category: 'Electronics', + product_name: 'Smartphone', + unit_price: Decimal128('699.99') + }, + { + quantity: 2, + item_id: 'i3002', + product_id: 'p102', + order_id: 'o2001', + category: 'Accessories', + product_name: 'Phone Case', + unit_price: Decimal128('29.99') + } + ], + user_info: { + city: 'New York', + country: 'USA', + signup_time: 2024-12-20T12:00:00.000Z, + user_id: 'u001', + user_level: 'GOLD', + user_name: 'Alice' + } +} +``` + +This structure is analysis-ready, API-friendly, and tailored for real-time use. Analysts can easily filter and aggregate orders, marketing can segment by user attributes, and developers can serve complete order details in a single API response without expensive joins. + +## What’s Next? + +- **Monitor your task** to track throughput and latency in real time. +- **Validate data accuracy** using built-in tools or source queries. +- **Publish the view as an API** so other teams or systems can consume fresh, structured order data via REST or GraphQL. + + + diff --git a/docs/design-incremental-views/overview.md b/docs/design-incremental-views/overview.md index a124b925..e778fb8e 100644 --- a/docs/design-incremental-views/overview.md +++ b/docs/design-incremental-views/overview.md @@ -45,4 +45,4 @@ TapData offers multiple ways to design and build your IMVs, so you can choose th - [Using Data Pipeline](create-views/using-data-pipeline.md): A visual, flow-based interface that lets you define joins, choose fields, and insert transformation nodes for cleaning or enriching your data. - [Using TapFlow](create-views/using-tapflow.md): A code-friendly approach designed for developers and advanced users who want full control and automation via API or CLI. -Choose the approach that works best for you and start building real-time, analysis-ready data views tailored to your business. \ No newline at end of file +Choose the approach that works best for you and start building real-time, analysis-ready data views tailored to your business. diff --git a/docs/getting-started/connect-data-source.md b/docs/getting-started/connect-data-source.md index 25f549e7..aeb0882f 100644 --- a/docs/getting-started/connect-data-source.md +++ b/docs/getting-started/connect-data-source.md @@ -46,7 +46,7 @@ Before connecting to the data sources, you also need to ensure that the network * **Advanced Settings** * **Connection Parameter String**: Default is `useUnicode=yes&characterEncoding=UTF-8`, indicating that data transmission will use the UTF-8 encoded Unicode character set, which helps avoid character encoding issues. * **Timezone**: Default is set to 0 timezone. If configured to another timezone, it will affect fields without timezone information (e.g., `datetime`). Fields with timezone information (e.g., `timestamp`, `date`, and `time`) are not affected. - * **CDC Log Caching**: [Mining the source database's](../user-guide/advanced-settings/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. + * **CDC Log Caching**: [Mining the source database's](../operational-data-hub/advanced/share-mining.md) incremental logs. This allows multiple tasks to share the same source database’s incremental log mining process, reducing duplicate reads and minimizing the impact of incremental synchronization on the source database. After enabling this feature, you will need to select an external storage to store the incremental log information. * **Contain Table**: The default option is **All**, which includes all tables. Alternatively, you can select **Custom** and manually specify the desired tables by separating their names with commas (,). * **Exclude Tables**: Once the switch is enabled, you have the option to specify tables to be excluded. You can do this by listing the table names separated by commas (,) in case there are multiple tables to be excluded. * **Agent Settings**: Defaults to **Platform automatic allocation**, you can also manually specify an agent. diff --git a/docs/operational-data-hub/adm-layer/README.md b/docs/operational-data-hub/adm-layer/README.md new file mode 100644 index 00000000..00ac4170 --- /dev/null +++ b/docs/operational-data-hub/adm-layer/README.md @@ -0,0 +1,6 @@ +# Deliver Data (ADM Layer) + +import DocCardList from '@theme/DocCardList'; + + + diff --git a/docs/operational-data-hub/adm-layer/integrate-apis.md b/docs/operational-data-hub/adm-layer/integrate-apis.md new file mode 100644 index 00000000..e9ee9486 --- /dev/null +++ b/docs/operational-data-hub/adm-layer/integrate-apis.md @@ -0,0 +1 @@ +# Integrate with APIs \ No newline at end of file diff --git a/docs/operational-data-hub/adm-layer/sync-downstream.md b/docs/operational-data-hub/adm-layer/sync-downstream.md new file mode 100644 index 00000000..63e5e500 --- /dev/null +++ b/docs/operational-data-hub/adm-layer/sync-downstream.md @@ -0,0 +1 @@ +# Sync Data to Downstream Targets \ No newline at end of file diff --git a/docs/operational-data-hub/advanced/README.md b/docs/operational-data-hub/advanced/README.md new file mode 100644 index 00000000..3c757f7e --- /dev/null +++ b/docs/operational-data-hub/advanced/README.md @@ -0,0 +1,6 @@ +# Advanced Features & Extensions + +import DocCardList from '@theme/DocCardList'; + + + diff --git a/docs/user-guide/advanced-settings/custom-node.md b/docs/operational-data-hub/advanced/custom-node.md similarity index 92% rename from docs/user-guide/advanced-settings/custom-node.md rename to docs/operational-data-hub/advanced/custom-node.md index 4842a3b0..1ce05a52 100644 --- a/docs/user-guide/advanced-settings/custom-node.md +++ b/docs/operational-data-hub/advanced/custom-node.md @@ -54,7 +54,7 @@ To ensure information security, if you need to desensitize certain mobile phone **Procedure:** -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../../user-guide/log-in.md). 2. In the left navigation bar, select **Advanced** > **User Defined Processors**. @@ -86,7 +86,7 @@ To ensure information security, if you need to desensitize certain mobile phone 6. Click the **Save** in the top right corner. -7. [Create a data transformation task](../data-development/create-task.md). Add the phone number desensitization node between the source and target nodes in the data development task, and specify the field **mobile** as the input for the desensitization process. +7. [Create a data transformation task](../../user-guide/data-development/create-task.md). Add the phone number desensitization node between the source and target nodes in the data development task, and specify the field **mobile** as the input for the desensitization process. ![Phone number desensitization](../../images/masking_mobile_en.png) diff --git a/docs/user-guide/advanced-settings/manage-external-storage.md b/docs/operational-data-hub/advanced/manage-external-storage.md similarity index 96% rename from docs/user-guide/advanced-settings/manage-external-storage.md rename to docs/operational-data-hub/advanced/manage-external-storage.md index eb3b9f2e..dedf8450 100644 --- a/docs/user-guide/advanced-settings/manage-external-storage.md +++ b/docs/operational-data-hub/advanced/manage-external-storage.md @@ -12,7 +12,7 @@ An external database intended for data storage has been created. Currently, Mong ## Create External Storage -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../../user-guide/log-in.md). 2. In the left navigation bar, select **Advanced** > **External Storage**. diff --git a/docs/user-guide/advanced-settings/manage-function.md b/docs/operational-data-hub/advanced/manage-function.md similarity index 86% rename from docs/user-guide/advanced-settings/manage-function.md rename to docs/operational-data-hub/advanced/manage-function.md index a2199e13..03485d31 100644 --- a/docs/user-guide/advanced-settings/manage-function.md +++ b/docs/operational-data-hub/advanced/manage-function.md @@ -3,11 +3,11 @@ import Content from '../../reuse-content/_enterprise-and-community-features.md'; -TapData supports a wide range of functions to facilitate the definition of processing steps, allowing for their use in [JavaScript (JS) nodes](../data-development/process-node.md#js-process). Additionally, you can freely define custom functions or import third-party JAR packages to introduce new functions as needed. +TapData supports a wide range of functions to facilitate the definition of processing steps, allowing for their use in [JavaScript (JS) nodes](../../user-guide/data-development/process-node.md#js-process). Additionally, you can freely define custom functions or import third-party JAR packages to introduce new functions as needed. ## Procedure -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../../user-guide/log-in.md). 2. In the left navigation bar, select **Advanced** > **Function List**. diff --git a/docs/user-guide/advanced-settings/share-cache.md b/docs/operational-data-hub/advanced/share-cache.md similarity index 96% rename from docs/user-guide/advanced-settings/share-cache.md rename to docs/operational-data-hub/advanced/share-cache.md index 163926a7..99123e1f 100644 --- a/docs/user-guide/advanced-settings/share-cache.md +++ b/docs/operational-data-hub/advanced/share-cache.md @@ -8,7 +8,7 @@ Live Cache is primarily designed to alleviate the pressure on the source databas ## Create Live Cache -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../../user-guide/log-in.md). 2. In the left navigation bar, select **Advanced** > **Live Cache**. @@ -24,7 +24,7 @@ Live Cache is primarily designed to alleviate the pressure on the source databas * **Automatic Index Creation**: Turn on this feature will automatically create indexes for cache keys in the source table, which may impact the source database's performance. * **Cache Keys**: Choose one or more fields as the primary key to identify data for caching. * **Cache Fields**: Select the commonly used fields you need to cache. - * **External Storage Configuration**: Choose external storage, you can [create external storage](../advanced-settings/manage-external-storage.md) separately for the cache to store related data. + * **External Storage Configuration**: Choose external storage, you can [create external storage](manage-external-storage.md) separately for the cache to store related data. * **Maximum Memory**: The maximum memory amount the system will save, exceeding it will delete the least frequently used data based on call time. * **Use CDC log Caching**: CDC log Caching digs into incremental logs, eliminating the need to start multiple log collection processes for multiple incremental tasks. This significantly reduces the resource usage and waste of the source database. * **Maximum Cache Memory**: The default is 500 MB. TapData will save up to the maximum memory amount, and if exceeded, it will delete the least frequently used data based on the call time. diff --git a/docs/user-guide/advanced-settings/share-mining.md b/docs/operational-data-hub/advanced/share-mining.md similarity index 100% rename from docs/user-guide/advanced-settings/share-mining.md rename to docs/operational-data-hub/advanced/share-mining.md diff --git a/docs/operational-data-hub/fdm-layer/README.md b/docs/operational-data-hub/fdm-layer/README.md new file mode 100644 index 00000000..6ad3df4f --- /dev/null +++ b/docs/operational-data-hub/fdm-layer/README.md @@ -0,0 +1,6 @@ +# Ingest and Sync Data (FDM Layer) + +import DocCardList from '@theme/DocCardList'; + + + diff --git a/docs/operational-data-hub/fdm-layer/monitor-sync-task.md b/docs/operational-data-hub/fdm-layer/monitor-sync-task.md new file mode 100644 index 00000000..d7143ad3 --- /dev/null +++ b/docs/operational-data-hub/fdm-layer/monitor-sync-task.md @@ -0,0 +1 @@ +# Monitor Sync Tasks \ No newline at end of file diff --git a/docs/operational-data-hub/fdm-layer/replicate-data.md b/docs/operational-data-hub/fdm-layer/replicate-data.md new file mode 100644 index 00000000..c996a58c --- /dev/null +++ b/docs/operational-data-hub/fdm-layer/replicate-data.md @@ -0,0 +1 @@ +# Replicate Data from Sources \ No newline at end of file diff --git a/docs/operational-data-hub/fdm-layer/validate-data-quality.md b/docs/operational-data-hub/fdm-layer/validate-data-quality.md new file mode 100644 index 00000000..fcd75f9f --- /dev/null +++ b/docs/operational-data-hub/fdm-layer/validate-data-quality.md @@ -0,0 +1 @@ +# Validate Data Quality \ No newline at end of file diff --git a/docs/mcp/README.md b/docs/operational-data-hub/mcp/README.md similarity index 55% rename from docs/mcp/README.md rename to docs/operational-data-hub/mcp/README.md index bbb608b3..b009962f 100644 --- a/docs/mcp/README.md +++ b/docs/operational-data-hub/mcp/README.md @@ -1,12 +1,12 @@ -# TapData MCP Server +# Chat with Data via MCP (Preview) -import Content from '../reuse-content/_enterprise-and-community-features.md'; +import Content from '../../reuse-content/_enterprise-and-community-features.md'; :::tip -The TapData MCP Server feature is currently in Beta. If you have any questions or feature requests during usage, feel free to contact the [Tapdata Support Team](../appendix/support.md). +The TapData MCP Server feature is currently in Beta. If you have any questions or feature requests during usage, feel free to contact the [Tapdata Support Team](../../appendix/support.md). ::: import DocCardList from '@theme/DocCardList'; diff --git a/docs/mcp/introduction.md b/docs/operational-data-hub/mcp/introduction.md similarity index 64% rename from docs/mcp/introduction.md rename to docs/operational-data-hub/mcp/introduction.md index d22d8cd2..5c4556fa 100644 --- a/docs/mcp/introduction.md +++ b/docs/operational-data-hub/mcp/introduction.md @@ -1,6 +1,6 @@ # MCP Server Introduction -import Content from '../reuse-content/_enterprise-and-community-features.md'; +import Content from '../../reuse-content/_enterprise-and-community-features.md'; @@ -16,20 +16,20 @@ As digital transformation accelerates, more enterprises are leveraging AI models - Enterprise data is typically scattered across systems like CRM, core banking, ERP, etc., creating data silos. - Due to data security and compliance requirements, AI models are often prohibited from directly accessing raw databases. -![TapData MCP Server Overview](../images/tapdata_mcp_server_introduction.png) +![TapData MCP Server Overview](../../images/tapdata_mcp_server_introduction.png) To address these challenges, Tapdata provides the MCP service. It uses a standardized SSE protocol, along with real-time materialized views and data anonymization, to securely and efficiently deliver structured context to AI models. The model can access real-time business context **without** direct database connections, significantly improving inference accuracy and enabling trustworthy AI adoption in enterprises. This forms a unified AI Context Service Layer. ## Key Benefits - **Real-Time Acceleration with 100x Faster Query Performance** - Powered by TapData’s caching and [materialized view](../tapflow/tapflow-tutorial/build-real-time-wide-table.md) capabilities, MCP enables millisecond-level query responses without direct access to source systems—dramatically improving context retrieval and model inference speed. + Powered by TapData’s caching and [materialized view](../../tapflow/tapflow-tutorial/build-real-time-wide-table.md) capabilities, MCP enables millisecond-level query responses without direct access to source systems—dramatically improving context retrieval and model inference speed. - **Secure Access with Trusted, Controlled Context** - Supports field-level [masking](../user-guide/advanced-settings/custom-node.md) and [role-based](../user-guide/manage-system/manage-role.md) permissions. Combined with real-time sync and incremental updates, it ensures AI models access only fresh, authorized data during inference. + Supports field-level [masking](../advanced/custom-node.md) and [role-based](../../user-guide/manage-system/manage-role.md) permissions. Combined with real-time sync and incremental updates, it ensures AI models access only fresh, authorized data during inference. - **Connect 100+ Data Sources with a Single MCP** - One MCP instance can connect to [over 100 heterogeneous data sources](../connectors/supported-data-sources.md), including major databases and SaaS platforms—breaking data silos and providing a unified foundation for context-aware AI. + One MCP instance can connect to [over 100 heterogeneous data sources](../../connectors/supported-data-sources.md), including major databases and SaaS platforms—breaking data silos and providing a unified foundation for context-aware AI. - **Built for LLM Agents with Seamless Integration** - Offers standardized SSE support and no-code [REST API](../publish-apis/README.md) setup, fully compatible with tools like Cursor, Claude, and other popular agent frameworks—bridging enterprise data and AI with ease. + Offers standardized SSE support and no-code [REST API](../../publish-apis/README.md) setup, fully compatible with tools like Cursor, Claude, and other popular agent frameworks—bridging enterprise data and AI with ease. ## Learn More diff --git a/docs/mcp/quick-start.md b/docs/operational-data-hub/mcp/quick-start.md similarity index 91% rename from docs/mcp/quick-start.md rename to docs/operational-data-hub/mcp/quick-start.md index a01a7dab..fabda74d 100644 --- a/docs/mcp/quick-start.md +++ b/docs/operational-data-hub/mcp/quick-start.md @@ -1,6 +1,6 @@ # Quick Start -import Content from '../reuse-content/_enterprise-and-community-features.md'; +import Content from '../../reuse-content/_enterprise-and-community-features.md'; @@ -8,32 +8,32 @@ This guide walks you through enabling the [MCP (Model Context Protocol) service] ## Prerequisites -- Requires Tapdata Enterprise or Community Edition to be [deployed](../backup-files/install.md). +- Requires Tapdata Enterprise or Community Edition to be [deployed](../../backup-files/install.md). - You have an AI model service or tool that supports MCP with SSE protocol (e.g., Cursor or Trae). ## Step 1: Set Up User and Get Access Code To ensure platform security, you need to create and authorize a user account with permission to access data via the MCP protocol. -1. [Log in to the Tapdata Platform](../user-guide/log-in.md). +1. [Log in to the Tapdata Platform](../../user-guide/log-in.md). -2. Go to **System Settings** > **Role Management** and create a role named `mcp` (case-insensitive). See [Manage Roles](../user-guide/manage-system/manage-role.md). +2. Go to **System Settings** > **Role Management** and create a role named `mcp` (case-insensitive). See [Manage Roles](../../user-guide/manage-system/manage-role.md). -3. Navigate to **System Settings** > **User Management**, and assign the `mcp` role to a user account. See [Manage Users](../user-guide/manage-system/manage-user.md). +3. Navigate to **System Settings** > **User Management**, and assign the `mcp` role to a user account. See [Manage Users](../../user-guide/manage-system/manage-user.md). 4. Log in to Tapdata using the authorized account, click your username in the top-right corner, and select **Account**. Copy the **Access Code**; you’ll need it in the next steps. - ![Obtain Access Code](../images/obtain_enterprise_ak.png) + ![Obtain Access Code](../../images/obtain_enterprise_ak.png) ## Step 2: Configure MCP Server in Agent Tool Next, we’ll use **Cursor** as an example to show how to configure and connect to the Tapdata MCP Server: -1. Open and log in to the Cursor app. Click the top-right ![Settings](../images/setting.png) icon. +1. Open and log in to the Cursor app. Click the top-right ![Settings](../../images/setting.png) icon. 2. Click **MCP** on the left menu, then click **Add new global MCP Server**. - ![Add MCP Server](../images/add_mcp_server.png) + ![Add MCP Server](../../images/add_mcp_server.png) 3. In the `mcp.json` config file that opens, add the Tapdata MCP service config using the structure below: @@ -67,7 +67,7 @@ Next, we’ll use **Cursor** as an example to show how to configure and connect 4. Save and close the configuration file. Return to the MCP settings section. When the status light on the left turns green, the connection to Tapdata MCP Server is successful. - ![MCP Connection Ready](../images/mcp_connection_ready.png) + ![MCP Connection Ready](../../images/mcp_connection_ready.png) 5. When you interact with the AI model in Cursor, it will automatically fetch context data from Tapdata MCP Server. You can also guide the model via prompts to help it access data efficiently. diff --git a/docs/operational-data-hub/mdm-layer/README.md b/docs/operational-data-hub/mdm-layer/README.md new file mode 100644 index 00000000..3460660e --- /dev/null +++ b/docs/operational-data-hub/mdm-layer/README.md @@ -0,0 +1,6 @@ +# Design and Transform Data (MDM Layer) + +import DocCardList from '@theme/DocCardList'; + + + diff --git a/docs/operational-data-hub/mdm-layer/build-view-in-odh.md b/docs/operational-data-hub/mdm-layer/build-view-in-odh.md new file mode 100644 index 00000000..01d0f816 --- /dev/null +++ b/docs/operational-data-hub/mdm-layer/build-view-in-odh.md @@ -0,0 +1 @@ +# Build Incremental Materialized Views \ No newline at end of file diff --git a/docs/operational-data-hub/mdm-layer/define-data-categories.md b/docs/operational-data-hub/mdm-layer/define-data-categories.md new file mode 100644 index 00000000..c917d1e7 --- /dev/null +++ b/docs/operational-data-hub/mdm-layer/define-data-categories.md @@ -0,0 +1 @@ +# Define Data Categories \ No newline at end of file diff --git a/docs/operational-data-hub/mdm-layer/prepare-and-transform.md b/docs/operational-data-hub/mdm-layer/prepare-and-transform.md new file mode 100644 index 00000000..ca640f55 --- /dev/null +++ b/docs/operational-data-hub/mdm-layer/prepare-and-transform.md @@ -0,0 +1 @@ +# Prepare and Transform Data \ No newline at end of file diff --git a/docs/operational-data-hub/plan-data-platform.md b/docs/operational-data-hub/plan-data-platform.md new file mode 100644 index 00000000..0e7491fa --- /dev/null +++ b/docs/operational-data-hub/plan-data-platform.md @@ -0,0 +1 @@ +# Plan Your Data Platform \ No newline at end of file diff --git a/docs/release-notes/release-notes-cloud.md b/docs/release-notes/release-notes-cloud.md index 56a42ef6..7c7c8e51 100644 --- a/docs/release-notes/release-notes-cloud.md +++ b/docs/release-notes/release-notes-cloud.md @@ -504,8 +504,8 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added support for [Shared Mining](../user-guide/advanced-settings/share-mining.md), allowing multiple tasks to share incremental logs from the source database, thus avoiding redundant reads and significantly reducing the load on the source database during incremental synchronization. -- The Shared Mining feature now supports using RocksDB as [local external storage](../user-guide/advanced-settings/manage-external-storage.md) to extend storage for incremental logs. +- Added support for [Shared Mining](../operational-data-hub/advanced/share-mining.md), allowing multiple tasks to share incremental logs from the source database, thus avoiding redundant reads and significantly reducing the load on the source database during incremental synchronization. +- The Shared Mining feature now supports using RocksDB as [local external storage](../operational-data-hub/advanced/manage-external-storage.md) to extend storage for incremental logs. ### Enhancements diff --git a/docs/release-notes/release-notes-community.md b/docs/release-notes/release-notes-community.md index 284af3c0..0f6fc728 100644 --- a/docs/release-notes/release-notes-community.md +++ b/docs/release-notes/release-notes-community.md @@ -262,7 +262,7 @@ This document introduces the recent release notes for TapData Community. For mor ### New Features -* Added a new button for using shared mining when creating [Shared Caches](../user-guide/advanced-settings/share-cache.md), simplifying cache task configuration and improving the efficiency and flexibility of cache sharing. +* Added a new button for using shared mining when creating [Shared Caches](../operational-data-hub/advanced/share-cache.md), simplifying cache task configuration and improving the efficiency and flexibility of cache sharing. ### Enhancements diff --git a/docs/release-notes/release-notes-on-prem.md b/docs/release-notes/release-notes-on-prem.md index e3d268f7..6417000e 100644 --- a/docs/release-notes/release-notes-on-prem.md +++ b/docs/release-notes/release-notes-on-prem.md @@ -52,7 +52,7 @@ import TabItem from '@theme/TabItem'; ### New Features -* Introduced [Tapdata MCP (Model Context Protocol)](../mcp/introduction.md), enabling integration of multi-source data into real-time contextual views consumable by LLMs and AI Agents. This feature is ideal for scenarios with high demands on data freshness and compliance, such as financial risk control. +* Introduced [Tapdata MCP (Model Context Protocol)](../operational-data-hub/mcp/introduction.md), enabling integration of multi-source data into real-time contextual views consumable by LLMs and AI Agents. This feature is ideal for scenarios with high demands on data freshness and compliance, such as financial risk control. * Added support for using **StarRocks** as a target database, allowing faster construction of real-time data warehouses for high-concurrency, multi-dimensional analytics use cases. * Added the ability to choose from multiple data structures(e.g. Flink) when syncing to **[Kafka-Enhanced](../connectors/mq-and-middleware/kafka-enhanced.md)**, enhancing compatibility and integration efficiency with downstream systems. @@ -410,7 +410,7 @@ import TabItem from '@theme/TabItem'; ### New Features * [Data Verification](../design-incremental-views/validate-views.md) now includes differential data repair capabilities, enhancing data consistency and accuracy. -* Added a new button for using CDC log Caching when creating [Live Cache](../user-guide/advanced-settings/share-cache.md), simplifying cache task configuration and improving the efficiency and flexibility of cache sharing. +* Added a new button for using CDC log Caching when creating [Live Cache](../operational-data-hub/advanced/share-cache.md), simplifying cache task configuration and improving the efficiency and flexibility of cache sharing. ### Enhancements @@ -586,7 +586,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- [Shared Mining](../user-guide/advanced-settings/share-mining.md) functionality supports using RocksDB as local external storage for incremental log storage expansion. +- [Shared Mining](../operational-data-hub/advanced/share-mining.md) functionality supports using RocksDB as local external storage for incremental log storage expansion. - [TDengine Connector](../connectors/on-prem-databases/tdengine.md) supports using multiple databases as incremental sources. ### Enhancements @@ -693,7 +693,7 @@ import TabItem from '@theme/TabItem'; ### New Features - Added [building materialized views](../user-guide/data-development/create-materialized-view.md) feature, enabling quick construction of real-time data models. -- Added support for configuring source nodes of [shared mining](../user-guide/advanced-settings/share-mining.md) tasks, including settings for enabling **incremental multi-threaded writing** and **supplementing updated data with complete fields**. +- Added support for configuring source nodes of [shared mining](../operational-data-hub/advanced/share-mining.md) tasks, including settings for enabling **incremental multi-threaded writing** and **supplementing updated data with complete fields**. - Kafka data source added support for [setting the number of replicas and partitions](../case-practices/pipeline-tutorial/oracle-to-kafka.md). - Added support for the `$unset` operation during synchronization between MongoDB instances. @@ -754,13 +754,13 @@ import TabItem from '@theme/TabItem'; ### New Features - [Kafka data source](../connectors/mq-and-middleware/kafka.md) now supports custom message body formats. - Added the [API interface documentation export feature](../publish-apis/create-api-service.md#release330-export-api) to help teams quickly establish and enhance API usage documents. -- Shared mining functionality supports [configuring task alerts](../user-guide/advanced-settings/share-mining.md#release330-alert), allowing alerts via system notifications or emails for better task monitoring. +- Shared mining functionality supports [configuring task alerts](../operational-data-hub/advanced/share-mining.md#release330-alert), allowing alerts via system notifications or emails for better task monitoring. - The [data validation function](../design-incremental-views/validate-views.md) allows setting data filters, enabling validation of specific conditional data only, reducing validation scope and increasing efficiency. - In data service platform mode, when dragging a data table to the platform cache layer to generate a task, it supports [setting the synchronization type of the task to be full or incremental](../user-guide/real-time-data-hub/daas-mode/create-daas-task.md#release330-task). ### Enhancements - Introduced [rolling upgrades](../administration/operation.md#release330-upgrade), which, compared to the downtime upgrade method, further reduces business impacts. -- Post-error in [shared mining tasks](../user-guide/advanced-settings/share-mining.md), associated tasks now include alert prompts. +- Post-error in [shared mining tasks](../operational-data-hub/advanced/share-mining.md), associated tasks now include alert prompts. - In the [row filter processing node](../user-guide/data-development/process-node.md), added usage examples when filtering with the DATE type. - [Time operation node](../user-guide/data-development/process-node.md#date-calculation) now displays adjusted fields. - Optimized algorithm for estimating remaining time for full synchronization. @@ -791,8 +791,8 @@ import TabItem from '@theme/TabItem'; - Product menu adjustments: data development is renamed to [data conversion](../user-guide/data-development/). Some functions have been moved to [advanced settings](../user-guide/advanced-settings/) (e.g., shared cache). - Improved interaction for tables without primary keys, e.g., [support for filtering non-primary key tables and adding primary key table identification](../user-guide/copy-data/create-task.md#310-table-model) when configuring data copy tasks. -- For external storage configurations of MongoDB data sources, [connection testing capability](../user-guide/advanced-settings/manage-external-storage.md#320-external-storage) has been added. -- When creating a new external storage and choosing MongoDB, it supports [using SSL connections](../user-guide/advanced-settings/manage-external-storage.md#320-external-storage). +- For external storage configurations of MongoDB data sources, [connection testing capability](../operational-data-hub/advanced/manage-external-storage.md#320-external-storage) has been added. +- When creating a new external storage and choosing MongoDB, it supports [using SSL connections](../operational-data-hub/advanced/manage-external-storage.md#320-external-storage). - Creating an HttpReceiver data source now [supports script trial runs](../connectors/others/http-receiver.md) and [access authentication functionality](../connectors/others/http-receiver.md). - Standard JS node capabilities adjusted, adding [Linked HashMap data structure](appendix/standard-js.md#linkedhashmap) and [context.global object](appendix/standard-js.md#global). - **Field editing** processing node's UI interaction has been improved. @@ -824,8 +824,8 @@ import TabItem from '@theme/TabItem'; ### Enhancements -- Shared mining task management improved, supporting [starting/stopping mining tasks for individual tables](../user-guide/advanced-settings/share-mining.md#release310-share-mining). -- [Shared cache](../user-guide/advanced-settings/share-cache.md), [functions](../user-guide/advanced-settings/manage-function.md), [API data services](../publish-apis/create-api-service.md) support import/export functions. +- Shared mining task management improved, supporting [starting/stopping mining tasks for individual tables](../operational-data-hub/advanced/share-mining.md#release310-share-mining). +- [Shared cache](../operational-data-hub/advanced/share-cache.md), [functions](../operational-data-hub/advanced/manage-function.md), [API data services](../publish-apis/create-api-service.md) support import/export functions. - [Data verification](../design-incremental-views/validate-views.md) supports configuring alert rules and notification methods. - Auto-fill table logic for [data verification](../design-incremental-views/validate-views.md) has been optimized. - Frontend added explanations for the distinction between [standard JS](appendix/standard-js.md) and [enhanced JS](appendix/enhanced-js.md). @@ -865,7 +865,7 @@ import TabItem from '@theme/TabItem'; ### Enhancements -- [Shared cache function](../user-guide/advanced-settings/share-mining.md) improved, offering an observable page to monitor mining progress and troubleshoot failures. +- [Shared cache function](../operational-data-hub/advanced/share-mining.md) improved, offering an observable page to monitor mining progress and troubleshoot failures. - [Full custom query function](../user-guide/data-development/create-task.md#full-sql-query) relaxed the restriction of only using JS nodes, now allowing the addition of other processing nodes with the node model directly utilizing the source table's model. - The field [processing node](../user-guide/data-development/process-node.md) supporting operations like adding/deleting fields, type modifications, and renaming fields now includes a field search function. - Adjusted wording for Schema loading frequency configuration in connection settings. diff --git a/docs/what-is-tapdata.md b/docs/what-is-tapdata.md index bc84e782..becbec4e 100644 --- a/docs/what-is-tapdata.md +++ b/docs/what-is-tapdata.md @@ -22,7 +22,7 @@ Compared to traditional data migration/synchronization tools, TapData offers a f Ensures high consistency between target data and source data through various proprietary technologies, supports multiple verification methods, and meets the stringent requirements of production environments. -* **[Low-latency Collection Performance](user-guide/advanced-settings/share-mining.md)** +* **[Low-latency Collection Performance](operational-data-hub/advanced/share-mining.md)** Based on proprietary CDC log parsing technology, it enables real-time data collection with zero intrusion and virtually no impact on the source database. Every new piece of data that enters the platform is responded to, computed, processed, and written into the target table within seconds. Additionally, it supports sharing incremental data to avoid repeated reads of source database incremental logs. diff --git a/sidebars.js b/sidebars.js index 00a31a52..84e00952 100644 --- a/sidebars.js +++ b/sidebars.js @@ -251,6 +251,69 @@ const sidebars = { 'publish-apis/api-query-params', ] }, + { + type: 'category', + label: 'Operational Data Hub--TBD', + link: { type: 'doc', id: 'operational-data-hub/README' }, + collapsed: false, + items: [ + 'operational-data-hub/plan-data-platform', + { + type: 'category', + label: 'FDM Layer', + link: { type: 'doc', id: 'operational-data-hub/fdm-layer/README' }, + collapsed: false, + items: [ + 'operational-data-hub/fdm-layer/replicate-data', + 'operational-data-hub/fdm-layer/validate-data-quality', + 'operational-data-hub/fdm-layer/monitor-sync-task' + ], + }, + { + type: 'category', + label: 'MDM Layer', + link: { type: 'doc', id: 'operational-data-hub/mdm-layer/README' }, + collapsed: false, + items: [ + 'operational-data-hub/mdm-layer/define-data-categories', + 'operational-data-hub/mdm-layer/prepare-and-transform', + 'operational-data-hub/mdm-layer/build-view-in-odh' + ], + }, + { + type: 'category', + label: 'ADM Layer', + link: { type: 'doc', id: 'operational-data-hub/adm-layer/README' }, + collapsed: false, + items: [ + 'operational-data-hub/adm-layer/integrate-apis', + 'operational-data-hub/adm-layer/sync-downstream' + ], + }, + { + type: 'category', + label: 'Advanced Features & Extensions', + link: { type: 'doc', id: 'operational-data-hub/advanced/README' }, + collapsed: false, + items: [ + 'operational-data-hub/advanced/custom-node', + 'operational-data-hub/advanced/manage-external-storage', + 'operational-data-hub/advanced/manage-function', + 'operational-data-hub/advanced/share-cache', + 'operational-data-hub/advanced/share-mining' + ], + }, + { + type: 'category', + label: 'Chat with Data via MCP (Preview)', + link: {type: 'doc', id: 'operational-data-hub/mcp/README'}, + 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This guide explains why you need an Operational Data Hub (ODH) and how to plan and implement one step by step. + +## Why Plan Your Data Platform + +As businesses grow and expand, their data landscape often becomes fragmented. Different teams and systems develop in silos, each optimized for local needs at the time, but creating long-term barriers to data sharing, consistency, and agility. + +Think of an ecommerce company processing customer orders: payment risk assessment, inventory checks, user segmentation, and promotion management all need timely, reliable data. Yet these systems often live in separate databases and services, making real-time decisions difficult. + +Similarly in payments and fintech, real-time fraud prevention depends on instantly recognizing risky transactions. But fragmented systems with delayed data integration make real-time risk scoring and blocking hard to achieve. + +Traditional solutions often focus on large data warehouses or lakes that batch-load data for analysis. While valuable for historical insights, they have clear limitations: + +- **Slow to update:** Often T+1 latency, unsuitable for real-time use cases. +- **Complex and costly:** High implementation and maintenance overhead. +- **Inflexible:** Hard to adapt quickly as business needs evolve. + +Some companies try building real-time pipelines with stream processing technologies, but these often come with steep learning curves, complex event ordering issues, and operational challenges that limit business self-service. + +To meet these challenges, organizations need a **more agile, real-time, and lightweight approach** to unify data, reduce operational burden, and deliver reliable, consistent, real-time data to the people and systems that need it. This is where an **Operational Data Hub (ODH)** comes in. + +## What is an Operational Data Hub (ODH)? + +An Operational Data Hub is a real-time data integration and delivery layer that sits between your source systems and consuming applications. It's designed to solve fragmented data landscapes, reduce integration complexity, and deliver consistent, standardized data in real time. + +At its core, an ODH is about connecting, transforming, and delivering data: + +- **Connect:** Seamlessly integrate diverse data sources—databases, APIs, event streams—without requiring major system changes. +- **Transform:** Clean, standardize, and model data into consistent formats and business entities that everyone can understand. +- **Deliver:** Make high-quality, up-to-date data available to consuming systems and teams via APIs or downstream databases. + +With an ODH, you move from siloed, hard-to-manage data flows to a single, unified, reusable data service that powers real-time operations and decision-making. + +Tapdata's ODH design breaks this journey into clear, manageable layers: + +![Tapdata's Layered Approach](../images/ldp_architecture.png) + +| Layer | Purpose | +| ---- | | +| **Source Data Layer** | Connect to and abstract data from all business systems and sources, without disrupting existing operations. | +| **Platform Cache (FDM)** | Use real-time change data capture (CDC) to mirror source tables safely, reducing load on critical systems. | +| **Processing Layer (MDM)** | Transform, clean, and model data into standardized business entities and wide tables for consistent consumption. | +| **Delivery & Service (ADM)** | Expose processed data to consuming systems and teams via APIs, real-time feeds, or batch exports. | + +This approach aligns with best practices for **Master Data Management (MDM)** as defined by Gartner: enabling IT and business teams to work together to ensure consistency, accuracy, governance, and shared understanding of core business data. + +## How to Plan Your Data Platform + +Once you understand the why and what of an ODH, the next question is: **How do you actually build it?** + +Below is a practical roadmap, based on proven best practices and real-world implementations, to help you plan and implement your own operational data platform. + +### 1. Define Goals and Priorities + +Start with business needs, not just technical architecture. + +- Identify critical use cases (e.g., real-time fraud scoring, customer segmentation). +- List the core data assets required to enable these scenarios. + +### 2. Audit Existing Data Assets + +- Map out data sources, formats, and update frequencies. +- Document owners and integration points. +- Build an asset inventory or data catalog to clarify what's available. + +### 3. Establish Standards and Governance + +- Define unified data models and clear, agreed-upon metrics. + +- Standardize naming conventions and security classifications. + + *Examples:* + + - `FDM_SourceSystem_TableName` for raw mirrors + - `MDM_Domain_BusinessLogic` for processed wide tables + - `ADM_Domain_Metric_Frequency` for business-facing aggregates + +- Document data definitions, lineage, and ownership so everyone understands what's being delivered. + +### 4. Design and Build Data Pipelines + +Follow a layered approach: + +- **FDM:** Mirror source data in real time without overloading production systems. +- **MDM:** Clean, enrich, and model data into consistent, business-friendly forms. +- **ADM:** Create ready-to-use data services or tables tailored to specific use cases. + +*Example:* + +> For fraud risk, replicate transactions and user profiles into FDM. Merge and enrich them in MDM to create a real-time user risk profile table for the scoring engine. + +### 5. Deploy Monitoring and Quality Checks + +- Set up automated monitoring and alerts for data pipelines. +- Conduct regular quality reviews to ensure data freshness, accuracy, and availability. + +### 6. Iterate and Improve + +- Start with a pilot project for one high-impact use case. +- Gather feedback, improve models and processes. +- Gradually scale to additional teams and data domains. + +By following this approach, you can turn fragmented, hard-to-use data into a **single, standardized, reusable data service** that fuels real-time decision-making and enables your entire organization to move faster and smarter. diff --git a/docs/operational-data-hub/set-up-odh.md b/docs/operational-data-hub/set-up-odh.md new file mode 100644 index 00000000..e7a74093 --- /dev/null +++ b/docs/operational-data-hub/set-up-odh.md @@ -0,0 +1,54 @@ +# Enable Operational Data Hub + +Now that you've [planned your data platform](plan-data-platform.md) strategy, it's time to set up your Operational Data Hub (ODH) in Tapdata. This guide will walk you through setting up the core storage engine and activating ODH mode in Tapdata. + +## Preparation + +Before you enable ODH in Tapdata, you’ll need a **MongoDB database (version 4.0 or higher)** to act as the storage engine for Tapdata’s core layers: + +- **Platform Cache (FDM Layer):** Real-time replica of your source systems. +- **Processing Layer (MDM Layer):** Stores cleaned, business-ready models. + +For connection instructions, see [Connect On-Premises MongoDB](../connectors/on-prem-databases/mongodb.md). + +
    Recommended best practices + At the top of the page, click on click here to privede the connection information, and fill in the MongoDB Atlas connection URL. + + - Choose either a **single database** for both layers or **dedicated databases** for better isolation and scaling. +- Deploy MongoDB as a **replica set** or **sharded cluster** to ensure high availability. +- Plan sufficient storage capacity and ensure an Oplog window of at least 14 days for reliable CDC. + +
    + + +## Enable ODH in Tapdata + +Once your MongoDB database is ready and connected, follow these steps to enable the Operational Data Hub mode in Tapdata: + +1. [Log in to TapData Platform](../user-guide/log-in.md). + +2. Click **Realtime Data Center** in the left sidebar. + +3. On the right side of the screen, click the ![settings_icon](../images/setting_icon.png) icon. + +4. Choose the **Data Service Platform** mode. + +5. Specify the MongoDB data source(s) you prepared for the **FDM** and **MDM** layers. + + ![enable-odh](/Users/walter/Desktop/images/enable-odh.png) + + :::tip + + Once saved, the selected storage engine can’t be changed later. Review your choice carefully before confirming. + + ::: + +6. Click **Save** to apply the configuration. + +After you complete this setup, Tapdata will automatically present the **ODH layered view** you saw in the planning section. + +![ODH Layer](../images/odh-layer.png) + +## Next Step + +You’re now ready to start [syncing your source data into the FDM layer](fdm-layer/replicate-data.md), enabling real-time, consistent data delivery across your business systems. \ No newline at end of file From 6b0ce378d9b532b91835bef4e924d786c28cab5c Mon Sep 17 00:00:00 2001 From: Walter Date: Fri, 11 Jul 2025 21:31:36 +0800 Subject: [PATCH 06/42] Update set-up-odh.md --- docs/operational-data-hub/set-up-odh.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/operational-data-hub/set-up-odh.md b/docs/operational-data-hub/set-up-odh.md index e7a74093..f3d89765 100644 --- a/docs/operational-data-hub/set-up-odh.md +++ b/docs/operational-data-hub/set-up-odh.md @@ -35,7 +35,7 @@ Once your MongoDB database is ready and connected, follow these steps to enable 5. Specify the MongoDB data source(s) you prepared for the **FDM** and **MDM** layers. - ![enable-odh](/Users/walter/Desktop/images/enable-odh.png) + ![enable-odh](../images/enable-odh.png) :::tip From 96c6be1873eb474c2c8a2e5bc852f4f20e02acc6 Mon Sep 17 00:00:00 2001 From: Walter Date: Sat, 12 Jul 2025 17:48:46 +0800 Subject: [PATCH 07/42] Add animations for better user experience --- docs/design-incremental-views/overview.md | 6 +- .../build-real-time-materialized-view.md | 4 + .../fdm-layer/replicate-data.md | 57 +- sidebars.js | 5 - src/components/Animation/TapDataAnimation.js | 502 +++++++++++++ .../Animation/TapDataAnimation.module.css | 409 +++++++++++ .../Animation/TapDataFlowAnimation.js | 323 +++++++++ .../Animation/TapDataFlowAnimation.module.css | 676 ++++++++++++++++++ 8 files changed, 1974 insertions(+), 8 deletions(-) create mode 100644 src/components/Animation/TapDataAnimation.js create mode 100644 src/components/Animation/TapDataAnimation.module.css create mode 100644 src/components/Animation/TapDataFlowAnimation.js create mode 100644 src/components/Animation/TapDataFlowAnimation.module.css diff --git a/docs/design-incremental-views/overview.md b/docs/design-incremental-views/overview.md index e778fb8e..c676e568 100644 --- a/docs/design-incremental-views/overview.md +++ b/docs/design-incremental-views/overview.md @@ -12,14 +12,16 @@ However, in real-world e-commerce environments, data requirements are rarely so - **BI and reporting teams** need detailed transaction-level data to analyze order quantities, categories, and product bundles. - **Developers and data engineers** are looking for ways to simplify ETL pipelines and API integrations, while keeping production systems performant. -![Tables Relationship](../images/design_imv_table_relations.png) - To support these diverse use cases, we’ll extend our earlier example and design a more advanced, business-ready view that combines multiple data sources: - Embedded user profiles to preserve full customer details in each record. - Nested arrays of order items to capture all products in a single purchase. - Flattened product attributes so each order line includes product names, categories, and pricing. +import TapDataAnimation from '@site/src/components/Animation/TapDataAnimation'; + + +
    Ways to Add Related Fields diff --git a/docs/getting-started/build-real-time-materialized-view.md b/docs/getting-started/build-real-time-materialized-view.md index 22f1302f..c99cafa0 100644 --- a/docs/getting-started/build-real-time-materialized-view.md +++ b/docs/getting-started/build-real-time-materialized-view.md @@ -10,6 +10,10 @@ This article shows you how to use TapData to build **Incremental Materialized Vi Imagine you're a data analyst at an e-commerce company. You need to quickly identify **high-value transactions over $300 in Q1 2025** and understand customer membership levels and regions to drive targeted marketing—like sending special coupons or offering tier upgrades to boost retention and sales. +import TapDataFlowAnimation from '@site/src/components/Animation/TapDataFlowAnimation'; + + + In traditional databases, you'd have to run complex multi-table JOINs between your orders and users tables. When data volumes are large, these queries can be slow and put pressure on production systems. IT might even ask you to run them during off-peak hours—slowing down your entire analysis workflow and limiting your team's agility. ![IMV Solution](../images/imv-solution.gif) diff --git a/docs/operational-data-hub/fdm-layer/replicate-data.md b/docs/operational-data-hub/fdm-layer/replicate-data.md index c996a58c..5b6a43a2 100644 --- a/docs/operational-data-hub/fdm-layer/replicate-data.md +++ b/docs/operational-data-hub/fdm-layer/replicate-data.md @@ -1 +1,56 @@ -# Replicate Data from Sources \ No newline at end of file +# Replicate Data from Sources + +Learn how to set up real-time data replication from your source systems into the FDM (Platform Cache) layer using Tapdata’s flexible, CDC-powered engine. This ensures your business always works with fresh, reliable data—without burdening production databases. + +## Why Use the FDM Layer? + +The FDM (Federated Data Management) layer acts as a high-performance, real-time cache for your most critical business data. + +- Decouples analytics and downstream processes from production databases +- Boosts security and performance by limiting access to sensitive source systems +- Enables scalable, flexible data delivery for multiple teams and use cases + +Tapdata’s replication is powered by **Change Data Capture (CDC)** technology, allowing you to sync data with low latency and minimal impact on source systems. Tapdata supports a wide range of popular databases and cloud data sources—so you can unify your data, no matter where it lives. + +## Prerequisites + +- ODH mode is enabled in Tapdata +- Source and target connections (e.g., your production database and MongoDB) are configured and working +- You have the necessary permissions to create replication tasks + +## Procedure + +1. [Log in to TapData Platform](../user-guide/log-in.md). + +2. In the left sidebar, select **Real-time Data Center**. + +3. On this page, you’ll see all connected data sources, displayed across four platform layers for clear governance and data flow management. + + For details on each layer, see [ODH Architecture Overview](https://docs.tapdata.net/user-guide/real-time-data-hub/daas-mode/enable-daas-mode). + +4. In the **Source Data Layer**, find the database and tables you want to replicate. + Or use the icon to search, then drag the desired table(s) to the **Platform Cache Layer**. + +5. In the configuration dialog, set a **table prefix** and choose the replication mode (**full** or **incremental**). + + Tapdata automatically generates the FDM-layer naming pattern for you, which typically includes the `FDM_` prefix plus your table name. + Here you can add your **source system identifier** to make it easier for business teams to recognize the origin of the data. + + For more naming best practices, see [Plan Your Operational Data Hub](../replicate-data.md). + +6. Click **Save & Run** to immediately start the replication. + + Tapdata will create and launch a real-time replication task, continuously syncing your selected tables to the FDM layer with built-in validation. + + To monitor the task, click the icon next to the table name in the Platform Cache. This opens the job monitoring page with live status and performance metrics. + +6. Tapdata will automatically create and launch a real-time replication task, copying data to the FDM layer and validating it. + To monitor the job, click the icon next to the table name in the Platform Cache—this takes you to the job monitoring page for live status and stats. + + **Need more control?** + If you want to adjust advanced options—like read concurrency, batch size, hash-based sharding (for splitting large tables during full sync), or index replication—click **Save Only** instead of **Save & Run**. + After saving, locate your new task in the list, click its name, and configure these settings before running it. + +## Next Step + +[Data Validation](validate-data-quality.md) \ No newline at end of file diff --git a/sidebars.js b/sidebars.js index 84e00952..941cf4ba 100644 --- a/sidebars.js +++ b/sidebars.js @@ -255,14 +255,12 @@ const sidebars = { type: 'category', label: 'Operational Data Hub--TBD', link: { type: 'doc', id: 'operational-data-hub/README' }, - collapsed: false, items: [ 'operational-data-hub/plan-data-platform', { type: 'category', label: 'FDM Layer', link: { type: 'doc', id: 'operational-data-hub/fdm-layer/README' }, - collapsed: false, items: [ 'operational-data-hub/fdm-layer/replicate-data', 'operational-data-hub/fdm-layer/validate-data-quality', @@ -273,7 +271,6 @@ const sidebars = { type: 'category', label: 'MDM Layer', link: { type: 'doc', id: 'operational-data-hub/mdm-layer/README' }, - collapsed: false, items: [ 'operational-data-hub/mdm-layer/define-data-categories', 'operational-data-hub/mdm-layer/prepare-and-transform', @@ -284,7 +281,6 @@ const sidebars = { type: 'category', label: 'ADM Layer', link: { type: 'doc', id: 'operational-data-hub/adm-layer/README' }, - collapsed: false, items: [ 'operational-data-hub/adm-layer/integrate-apis', 'operational-data-hub/adm-layer/sync-downstream' @@ -294,7 +290,6 @@ const sidebars = { type: 'category', label: 'Advanced Features & Extensions', link: { type: 'doc', id: 'operational-data-hub/advanced/README' }, - collapsed: false, items: [ 'operational-data-hub/advanced/custom-node', 'operational-data-hub/advanced/manage-external-storage', diff --git a/src/components/Animation/TapDataAnimation.js b/src/components/Animation/TapDataAnimation.js new file mode 100644 index 00000000..926e7625 --- /dev/null +++ b/src/components/Animation/TapDataAnimation.js @@ -0,0 +1,502 @@ +import React, { useEffect, useRef } from 'react'; +import styles from './TapDataAnimation.module.css'; + +const TapDataAnimation = () => { + const containerRef = useRef(null); + + useEffect(() => { + class TapDataDemo { + constructor(container) { + this.container = container; + this.processingEngine = container.querySelector('#processingEngine'); + this.isRunning = true; + this.particles = []; + this.connectionLines = []; + this.init(); + } + + init() { + this.createConnectionLines(); + this.bindEvents(); + setTimeout(() => this.startContinuousDemo(), 1000); + } + + bindEvents() { + window.addEventListener('resize', () => { + this.clearAllLines(); + setTimeout(() => { + this.createConnectionLines(); + }, 100); + }); + } + + createConnectionLines() { + const sourceSection = this.container.querySelector('[class*="sourceSection"]'); + const engine = this.processingEngine; + const mvSection = this.container.querySelector('[class*="materializedView"]'); + + if (!sourceSection || !engine || !mvSection) return; + + const sourceRect = sourceSection.getBoundingClientRect(); + const engineRect = engine.getBoundingClientRect(); + const mvRect = mvSection.getBoundingClientRect(); + const containerRect = this.container.getBoundingClientRect(); + + // Calculate unified arrow height (using engine center height) + const arrowHeight = engineRect.top + engineRect.height / 2 - containerRect.top - 25; + + // Arrow group from source tables to engine + const arrows1 = document.createElement('div'); + arrows1.className = 'flow-arrows'; + arrows1.style.left = `${sourceRect.right - containerRect.left + 20}px`; + arrows1.style.top = `${arrowHeight}px`; + arrows1.style.width = `${engineRect.left - sourceRect.right - 40}px`; + arrows1.style.justifyContent = 'center'; + arrows1.innerHTML = '>>>'; + + // Arrow group from engine to materialized view + const arrows2 = document.createElement('div'); + arrows2.className = 'flow-arrows'; + arrows2.style.left = `${engineRect.right - containerRect.left + 20}px`; + arrows2.style.top = `${arrowHeight}px`; + arrows2.style.width = `${mvRect.left - engineRect.right - 40}px`; + arrows2.style.justifyContent = 'center'; + arrows2.innerHTML = '>>>'; + + this.container.appendChild(arrows1); + this.container.appendChild(arrows2); + + this.connectionLines.push(arrows1, arrows2); + } + + clearAllLines() { + this.connectionLines.forEach(line => { + if (line.parentNode) { + line.parentNode.removeChild(line); + } + }); + this.connectionLines = []; + } + + async startContinuousDemo() { + if (this.processingEngine) { + this.processingEngine.classList.add('pulse'); + } + + while (this.isRunning) { + await this.runTableBasedAnimation(); + await this.delay(4000); + } + } + + async runTableBasedAnimation() { + const mvContent = this.container.querySelector('.mv-content'); + this.resetMaterializedView(); + + const tableIds = ['ordersTable', 'usersTable', 'orderItemsTable', 'productsTable']; + const tableGroups = {}; + + tableIds.forEach(id => { + const table = this.container.querySelector(`#${id}`); + if (table) { + const fields = table.querySelectorAll('.field[data-target]'); + const tableName = id.replace('Table', ''); + tableGroups[tableName] = Array.from(fields); + } + }); + + // Fly fields in order: orders -> users -> orderItems -> products + const flyOrder = ['orders', 'users', 'orderItems', 'products']; + for (const tableName of flyOrder) { + if (!this.isRunning) break; + + const tableFields = tableGroups[tableName]; + if (tableFields && tableFields.length > 0) { + await this.animateTableFields(tableFields, tableName); + // Update materialized view for corresponding stage after each table completion + this.updateMaterializedViewForStage(tableName); + await this.delay(1000); + } + } + } + + resetMaterializedView() { + const mvContent = this.container.querySelector('.mv-content'); + if (mvContent) { + mvContent.textContent = '{\n\n}'; + } + + // Reset flag variables + this.productItemsStarted = false; + this.productItemsEnded = false; + this.userInfoStarted = false; + this.fieldCount = 0; + this.productItemsFieldCount = 0; + this.userInfoFieldCount = 0; + + // Reset displayed fields record + this.displayedFields = new Set(); + } + + updateMaterializedViewForStage(tableName) { + const mvContent = this.container.querySelector('.mv-content'); + if (!mvContent) return; + + // Add update animation + mvContent.classList.add('updating'); + setTimeout(() => { + mvContent.classList.remove('updating'); + }, 800); + + if (tableName === 'orders') { + // First time, build complete structure + this.buildInitialStructure(mvContent); + } else { + // Subsequent stages, only add new content + this.addNewFieldsForStage(mvContent, tableName); + } + } + + buildInitialStructure(mvContent) { + mvContent.innerHTML = ''; + const container = document.createElement('div'); + container.className = 'mv-structure'; + + this.addLine(container, '{', 0); + this.addFieldLine(container, 'order_id', 1, true); + this.addFieldLine(container, 'order_amount', 1, true); + this.addFieldLine(container, 'order_status', 1, true); + this.addFieldLine(container, 'order_time', 1, true); + this.addFieldLine(container, 'payment_method', 1, true); + this.addFieldLine(container, 'user_id', 1, true); + this.addLine(container, '}', 0); + + mvContent.appendChild(container); + this.animateFieldLines(container); + } + + delay(ms) { + return new Promise(resolve => setTimeout(resolve, ms)); + } + + addNewFieldsForStage(mvContent, tableName) { + const container = mvContent.querySelector('.mv-structure'); + const closingBrace = container.querySelector('.field-line:last-child'); + + if (tableName === 'users') { + // Add user_info object + this.insertFieldLine(container, closingBrace, 'user_info: {', 1, true); + this.insertFieldLine(container, closingBrace, 'city', 2, true); + this.insertFieldLine(container, closingBrace, 'country', 2, true); + this.insertFieldLine(container, closingBrace, 'signup_time', 2, true); + this.insertFieldLine(container, closingBrace, 'user_id', 2, true); + this.insertFieldLine(container, closingBrace, 'user_level', 2, true); + this.insertFieldLine(container, closingBrace, 'user_name', 2, true); + this.insertLine(container, closingBrace, '}', 1); + + } else if (tableName === 'orderItems') { + // Add product_items array before user_info + const userInfoLine = Array.from(container.children).find(line => + line.textContent.includes('user_info:')); + + this.insertFieldLine(container, userInfoLine, 'product_items: [', 1, true); + this.insertLine(container, userInfoLine, '{', 2); + this.insertFieldLine(container, userInfoLine, 'quantity', 3, true); + this.insertFieldLine(container, userInfoLine, 'item_id', 3, true); + this.insertFieldLine(container, userInfoLine, 'product_id', 3, true); + this.insertFieldLine(container, userInfoLine, 'order_id', 3, true); + this.insertLine(container, userInfoLine, '},', 2); + this.insertLine(container, userInfoLine, '......', 2); + this.insertLine(container, userInfoLine, '],', 1); + + } else if (tableName === 'products') { + // Add new fields to existing product_items + const orderIdLine = Array.from(container.children).find(line => + line.textContent.trim() === 'order_id,' && line.style.paddingLeft === '60px'); + const closingObjectLine = orderIdLine?.nextElementSibling; + + if (closingObjectLine) { + this.insertFieldLine(container, closingObjectLine, 'category', 3, true); + this.insertFieldLine(container, closingObjectLine, 'product_name', 3, true); + this.insertFieldLine(container, closingObjectLine, 'unit_price', 3, true); + } + } + + // Re-animate newly added fields + const newFields = container.querySelectorAll('.field-line.new-field'); + newFields.forEach((field, index) => { + setTimeout(() => { + field.style.opacity = '1'; + field.style.transform = 'translateX(0)'; + }, index * 100); + }); + } + + async animateTableFields(fields, tableName) { + // Add processing engine jiggle effect + if (this.processingEngine) { + this.processingEngine.classList.add('engine-processing'); + } + + // Fly all fields of a table simultaneously + const flyingPromises = fields.map((field, index) => { + return new Promise(async (resolve) => { + // Stagger start time for each field, but with shorter intervals + await this.delay(index * 50); + await this.animateFieldToStructure(field, tableName); + resolve(); + }); + }); + + await Promise.all(flyingPromises); + + // Remove processing engine jiggle effect + if (this.processingEngine) { + this.processingEngine.classList.remove('engine-processing'); + } + } + + async animateFieldToStructure(sourceField, tableName) { + // Highlight source field + sourceField.classList.add('highlight'); + + // Create flying field + const flyingField = document.createElement('div'); + flyingField.className = 'flying-field'; + const fieldName = sourceField.querySelector('.field-name').textContent.replace(/[🔑🔗]/g, '').trim(); + flyingField.textContent = fieldName; + + const sourceRect = sourceField.getBoundingClientRect(); + const containerRect = this.container.getBoundingClientRect(); + const mvContent = this.container.querySelector('.mv-content'); + const mvRect = mvContent.getBoundingClientRect(); + + // Set starting position (source field position) + flyingField.style.left = `${sourceRect.left - containerRect.left}px`; + flyingField.style.top = `${sourceRect.top - containerRect.top}px`; + + this.container.appendChild(flyingField); + + // Calculate target position (center of materialized view content area) + const targetX = mvRect.left - containerRect.left + mvRect.width / 2; + const targetY = mvRect.top - containerRect.top + mvRect.height / 2; + + // Start flying animation - real left to right flight + setTimeout(() => { + flyingField.style.transition = 'all 1.2s cubic-bezier(0.25, 0.46, 0.45, 0.94)'; + flyingField.style.left = `${targetX}px`; + flyingField.style.top = `${targetY}px`; + flyingField.classList.add('animate'); + }, 100); + + // Clean up flying field + setTimeout(() => { + sourceField.classList.remove('highlight'); + if (flyingField.parentNode) { + flyingField.parentNode.removeChild(flyingField); + } + }, 1300); + + await this.delay(400); + } + + addLine(container, text, indent) { + const line = document.createElement('div'); + line.className = 'field-line'; + line.style.paddingLeft = `${indent * 20}px`; + line.textContent = text; + container.appendChild(line); + } + + addFieldLine(container, text, indent, isNew) { + const line = document.createElement('div'); + line.className = 'field-line'; + if (isNew) { + line.classList.add('new-field'); + // Start fade out after 1.2s, 0.5s fade out animation + setTimeout(() => { + line.classList.add('fade-out'); + setTimeout(() => { + line.classList.remove('new-field', 'fade-out'); + }, 500); + }, 1200); + } + line.style.paddingLeft = `${indent * 20}px`; + line.textContent = text + (text.includes(':') || text.includes('}') || text.includes(']') || text === '......' ? '' : ','); + container.appendChild(line); + } + + insertFieldLine(container, beforeElement, text, indent, isNew) { + const line = document.createElement('div'); + line.className = 'field-line'; + if (isNew) { + line.classList.add('new-field'); + // Start fade out after 1.2s, 0.5s fade out animation + setTimeout(() => { + line.classList.add('fade-out'); + setTimeout(() => { + line.classList.remove('new-field', 'fade-out'); + }, 500); + }, 1200); + } + line.style.paddingLeft = `${indent * 20}px`; + line.textContent = text + (text.includes(':') || text.includes('}') || text.includes(']') || text === '......' ? '' : ','); + line.style.opacity = '0'; + line.style.transform = 'translateX(-20px)'; + container.insertBefore(line, beforeElement); + } + + insertLine(container, beforeElement, text, indent) { + const line = document.createElement('div'); + line.className = 'field-line'; + line.style.paddingLeft = `${indent * 20}px`; + line.textContent = text; + line.style.opacity = '0'; + line.style.transform = 'translateX(-20px)'; + container.insertBefore(line, beforeElement); + } + + animateFieldLines(container) { + const lines = container.querySelectorAll('.field-line'); + lines.forEach((line, index) => { + setTimeout(() => { + line.style.animationDelay = `${index * 0.1}s`; + line.style.opacity = '1'; + line.style.transform = 'translateX(0)'; + }, index * 100); + }); + } + + cleanup() { + // Clean up all animation elements + this.container.querySelectorAll('.field').forEach(field => { + field.classList.remove('highlight'); + }); + + this.container.querySelectorAll('.flying-field').forEach(el => { + if (el.parentNode) el.parentNode.removeChild(el); + }); + + this.particles.forEach(particle => { + if (particle.parentNode) particle.parentNode.removeChild(particle); + }); + this.particles = []; + } + } + + // 初始化动画 + if (containerRef.current) { + const demo = new TapDataDemo(containerRef.current); + + // 清理函数 + return () => { + demo.isRunning = false; + demo.cleanup && demo.cleanup(); + }; + } + }, []); + + return ( +
    +
    + {/* 源表部分 */} +
    +
    +
    orders
    +
    + 🔑 order_id +
    +
    + 🔗 user_id +
    +
    + order_status +
    +
    + order_amount +
    +
    + payment_method +
    +
    + order_time +
    +
    + +
    +
    users
    +
    + 🔑 user_id +
    +
    + user_name +
    +
    + user_level +
    +
    + country +
    +
    + city +
    +
    + signup_time +
    +
    + +
    +
    order_items
    +
    + item_id +
    +
    + 🔗 order_id +
    +
    + 🔗 product_id +
    +
    + quantity +
    +
    + +
    +
    products
    +
    + 🔑 product_id +
    +
    + product_name +
    +
    + category +
    +
    + unit_price +
    +
    +
    + + {/* 处理引擎 */} +
    +
    +
    TapData
    +
    Real-time Data
    +
    Processing Engine
    +
    +
    + + {/* 物化视图 */} +
    +
    +
    Materialized View
    +
    {'{\n\n}'}
    +
    +
    +
    +
    + ); +}; + +export default TapDataAnimation; \ No newline at end of file diff --git a/src/components/Animation/TapDataAnimation.module.css b/src/components/Animation/TapDataAnimation.module.css new file mode 100644 index 00000000..7767d8d6 --- /dev/null +++ b/src/components/Animation/TapDataAnimation.module.css @@ -0,0 +1,409 @@ +/* TapData Animation Styles */ +.container { + max-width: 1200px; + margin: 20px auto; + position: relative; + font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; + background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%); + min-height: 650px; + height: auto; + padding: 30px; + border-radius: 10px; + box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1); + overflow: hidden; +} + +.demoArea { + display: grid; + grid-template-columns: 1.2fr 180px 1fr; + gap: 30px; + align-items: center; + position: relative; + max-width: 1200px; + margin: 0 auto; + min-height: 550px; + height: auto; +} + +.sourceSection { + display: grid; + grid-template-columns: 1fr 1fr; + grid-template-rows: 1fr 1fr; + gap: 20px; +} + +.processingSection { + display: flex; + justify-content: center; + align-items: center; + height: 100%; + position: relative; +} + +.resultSection { + display: flex; + flex-direction: column; +} + +.table { + background: white; + border-radius: 12px; + box-shadow: 0 4px 16px rgba(0,0,0,0.08); + overflow: hidden; + transition: transform 0.3s ease, box-shadow 0.3s ease; + border: 1px solid #e8eaed; +} + +.table:hover { + transform: translateY(-3px); + box-shadow: 0 8px 24px rgba(0,0,0,0.12); +} + +.tableHeader { + background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); + color: white; + padding: 12px 15px; + font-weight: bold; + font-size: 14px; + text-align: center; +} + +.field { + padding: 10px 15px; + border-bottom: 1px solid #f0f0f0; + display: flex; + justify-content: flex-start; + align-items: center; + transition: all 0.3s ease; + cursor: pointer; + font-size: 14px; +} + +.field:last-child { + border-bottom: none; +} + +.field:hover { + background: #f8f9ff; +} + +.fieldName { + font-weight: 500; + color: #2c3e50; + width: 100%; +} + +.fieldType { + font-size: 11px; + color: #7f8c8d; + background: #ecf0f1; + padding: 2px 6px; + border-radius: 3px; + margin-left: 8px; +} + +.joinKey { + background: linear-gradient(90deg, #ffeaa7 0%, #fab1a0 100%); + font-weight: bold; +} + +.processingEngine { + background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); + border-radius: 18px; + padding: 18px; + text-align: center; + color: white; + box-shadow: 0 8px 32px rgba(102, 126, 234, 0.25); + position: relative; + overflow: hidden; + width: 140px; + height: 110px; + display: flex; + flex-direction: column; + justify-content: center; + z-index: 5; +} + +.engineLogo { + font-size: 20px; + font-weight: bold; + margin-bottom: 8px; +} + +.engineSubtitle { + font-size: 12px; + opacity: 0.9; +} + +.materializedView { + background: white; + border-radius: 16px; + box-shadow: 0 6px 24px rgba(0,0,0,0.08); + overflow: hidden; + border: 1px solid #e8eaed; +} + +.mvHeader { + background: linear-gradient(135deg, #00b894 0%, #00cec9 100%); + color: white; + padding: 15px; + font-weight: bold; + font-size: 16px; + text-align: center; +} + +.mvContent { + padding: 20px; + font-family: 'Courier New', monospace; + font-size: 13px; + line-height: 1.6; + color: #2c3e50; + max-height: 600px; + overflow-y: auto; + transition: background-color 0.3s ease; + white-space: pre-wrap; +} + +.mvStructure { + position: relative; +} + +.mvLine { + margin: 2px 0; + opacity: 0; + transform: translateX(-10px); + transition: all 0.3s ease; +} + +.mvLine.show { + opacity: 1; + transform: translateX(0); +} + +.mvLine.highlight { + background: rgba(102, 126, 234, 0.1); + padding: 2px 4px; + border-radius: 3px; +} + +/* New field highlight animation - SaaS style light purple */ +:global(.new-field) { + animation: newFieldHighlight 1.5s ease-in-out forwards; + background: linear-gradient(90deg, #e8e5ff, #d4c5ff); + padding: 2px 6px; + border-radius: 4px; + font-weight: 500; + border: 1px solid rgba(116, 75, 162, 0.2); + transition: all 0.5s ease-out; +} + +:global(.new-field.fade-out) { + background: transparent !important; + border-color: transparent !important; + box-shadow: none !important; + transform: scale(1) !important; + padding: 0 !important; + font-weight: normal !important; +} + +@keyframes newFieldHighlight { + 0% { + background: linear-gradient(90deg, #e8e5ff, #d4c5ff); + transform: scale(1.03); + box-shadow: 0 0 12px rgba(116, 75, 162, 0.4); + border-color: rgba(116, 75, 162, 0.4); + } + 30% { + background: linear-gradient(90deg, #d4c5ff, #c8b5ff); + transform: scale(1.01); + box-shadow: 0 0 16px rgba(116, 75, 162, 0.3); + border-color: rgba(116, 75, 162, 0.3); + } + 60% { + background: linear-gradient(90deg, #e8e5ff, #d4c5ff); + transform: scale(1.03); + box-shadow: 0 0 12px rgba(116, 75, 162, 0.4); + border-color: rgba(116, 75, 162, 0.4); + } + 100% { + background: linear-gradient(90deg, #e8e5ff, #d4c5ff); + transform: scale(1); + box-shadow: 0 0 8px rgba(116, 75, 162, 0.2); + border-color: rgba(116, 75, 162, 0.2); + } +} + +/* Materialized view content update animation */ +:global(.mv-content.updating) { + animation: contentUpdate 0.8s ease-in-out; +} + +@keyframes contentUpdate { + 0% { + transform: scale(1); + box-shadow: 0 4px 20px rgba(0,0,0,0.1); + } + 50% { + transform: scale(1.02); + box-shadow: 0 8px 30px rgba(102, 126, 234, 0.3); + background: rgba(102, 126, 234, 0.05); + } + 100% { + transform: scale(1); + box-shadow: 0 4px 20px rgba(0,0,0,0.1); + background: transparent; + } +} + +/* Field line by line display animation */ +:global(.field-line) { + opacity: 0; + transform: translateX(-20px); + animation: slideInField 0.5s ease-out forwards; +} + +@keyframes slideInField { + 0% { + opacity: 0; + transform: translateX(-20px); + } + 100% { + opacity: 1; + transform: translateX(0); + } +} + +:global(.flying-field) { + position: absolute; + background: rgba(102, 126, 234, 0.9); + color: white; + padding: 8px 16px; + border-radius: 8px; + font-size: 16px; + font-weight: bold; + z-index: 20; + pointer-events: none; + white-space: nowrap; + box-shadow: 0 4px 12px rgba(0, 0, 0, 0.2); + opacity: 0; + transform: translateX(-50px); + min-width: 80px; + text-align: center; +} + +:global(.flying-field.animate) { + animation: flyInFromLeft 1.2s cubic-bezier(0.25, 0.46, 0.45, 0.94) forwards; +} + +@keyframes flyInFromLeft { + 0% { + opacity: 0; + transform: translateX(-100px) scale(0.5); + } + 30% { + opacity: 1; + transform: translateX(-20px) scale(0.8); + } + 70% { + opacity: 1; + transform: translateX(20px) scale(1.1); + } + 100% { + opacity: 0; + transform: translateX(100px) scale(0.5); + } +} + +:global(.field.highlight) { + background: rgba(102, 126, 234, 0.2); + transform: scale(1.02); + box-shadow: 0 0 10px rgba(102, 126, 234, 0.3); +} + +:global(.pulse) { + animation: pulse 2s infinite; +} + +@keyframes pulse { + 0%, 100% { + transform: scale(1); + box-shadow: 0 8px 25px rgba(102, 126, 234, 0.3); + } + 50% { + transform: scale(1.05); + box-shadow: 0 12px 35px rgba(102, 126, 234, 0.5); + } +} + +:global(.engine-processing) { + animation: engineJiggle 0.8s ease-in-out infinite; +} + +@keyframes engineJiggle { + 0%, 100% { + transform: translateX(0) translateY(0); + } + 25% { + transform: translateX(-1px) translateY(-1px); + } + 50% { + transform: translateX(1px) translateY(-1px); + } + 75% { + transform: translateX(-1px) translateY(1px); + } +} + +:global(.flow-arrows) { + position: absolute; + display: flex; + align-items: center; + gap: 15px; + z-index: 10; +} + +:global(.arrow) { + font-size: 20px; + color: #667eea; + opacity: 0; + animation: arrowFlow 2s ease-in-out infinite; +} + +:global(.arrow:nth-child(1)) { + animation-delay: 0s; +} + +:global(.arrow:nth-child(2)) { + animation-delay: 0.3s; +} + +:global(.arrow:nth-child(3)) { + animation-delay: 0.6s; +} + +@keyframes arrowFlow { + 0%, 70% { + opacity: 0; + transform: scale(0.8); + } + 15%, 55% { + opacity: 1; + transform: scale(1.2); + } + 30%, 40% { + opacity: 0.8; + transform: scale(1); + } +} + +@media (max-width: 1200px) { + .demoArea { + grid-template-columns: 1fr; + gap: 30px; + } + + .sourceSection { + grid-template-columns: 1fr; + grid-template-rows: auto; + } +} diff --git a/src/components/Animation/TapDataFlowAnimation.js b/src/components/Animation/TapDataFlowAnimation.js new file mode 100644 index 00000000..0b62d3b0 --- /dev/null +++ b/src/components/Animation/TapDataFlowAnimation.js @@ -0,0 +1,323 @@ +import React, { useEffect, useRef } from 'react'; +import styles from './TapDataFlowAnimation.module.css'; + +const TapDataFlowAnimation = () => { + const containerRef = useRef(null); + + useEffect(() => { + if (!containerRef.current) return; + + const container = containerRef.current; + const usersTable = container.querySelector('.users'); + const ordersTable = container.querySelector('.orders'); + const tapdataPlatform = container.querySelector('.tapdata-platform'); + const materializedView = container.querySelector('.mv-container'); + const applications = container.querySelector('.applications'); + + const createDataChangeIndicator = (table, type) => { + if (!table) return; + + const indicator = document.createElement('div'); + indicator.className = `data-indicator ${type}`; + + const rect = table.getBoundingClientRect(); + const containerRect = container.getBoundingClientRect(); + + indicator.style.left = (rect.left - containerRect.left + Math.random() * rect.width) + 'px'; + indicator.style.top = (rect.top - containerRect.top + Math.random() * rect.height) + 'px'; + + container.appendChild(indicator); + + setTimeout(() => { + if (indicator.parentNode) { + indicator.remove(); + } + }, 2000); + }; + + const createDataFlow = (fromElement, toElement, dataType) => { + if (!fromElement || !toElement) return; + + const dataFlow = document.createElement('div'); + dataFlow.className = `data-flow ${dataType} active`; + + const fromRect = fromElement.getBoundingClientRect(); + const toRect = toElement.getBoundingClientRect(); + const containerRect = container.getBoundingClientRect(); + + const startX = fromRect.right - containerRect.left; + const startY = fromRect.top + fromRect.height / 2 - containerRect.top; + const endX = toRect.left - containerRect.left; + const endY = toRect.top + toRect.height / 2 - containerRect.top; + + dataFlow.style.left = startX + 'px'; + dataFlow.style.top = startY + 'px'; + + container.appendChild(dataFlow); + + const distance = Math.sqrt(Math.pow(endX - startX, 2) + Math.pow(endY - startY, 2)); + const duration = Math.max(2000, distance * 5); + + dataFlow.style.transition = `all ${duration}ms ease-in-out`; + + setTimeout(() => { + dataFlow.style.left = endX + 'px'; + dataFlow.style.top = endY + 'px'; + dataFlow.style.opacity = '0'; + }, 50); + + setTimeout(() => { + if (dataFlow.parentNode) { + dataFlow.remove(); + } + }, duration + 100); + }; + + const startDataChangeIndicators = () => { + setInterval(() => { + createDataChangeIndicator(usersTable, 'users'); + }, 800); + + setInterval(() => { + createDataChangeIndicator(ordersTable, 'orders'); + }, 900); + + setInterval(() => { + for (let i = 0; i < 5; i++) { + setTimeout(() => { + createDataChangeIndicator(usersTable, 'users'); + }, i * 150); + } + }, 2500); + + setInterval(() => { + for (let i = 0; i < 5; i++) { + setTimeout(() => { + createDataChangeIndicator(ordersTable, 'orders'); + }, i * 180); + } + }, 2800); + }; + + const startDataFlowAnimations = () => { + setInterval(() => { + createDataFlow(usersTable, tapdataPlatform, 'users-data'); + }, 1000); + + setInterval(() => { + createDataFlow(ordersTable, tapdataPlatform, 'orders-data'); + }, 1200); + + setInterval(() => { + createDataFlow(tapdataPlatform, materializedView, 'merged-data'); + }, 1400); + + setInterval(() => { + createDataFlow(materializedView, applications, 'merged-data'); + }, 1600); + + setInterval(() => { + createDataFlow(usersTable, tapdataPlatform, 'users-data'); + setTimeout(() => { + createDataFlow(ordersTable, tapdataPlatform, 'orders-data'); + }, 300); + }, 2500); + + setInterval(() => { + createDataFlow(tapdataPlatform, materializedView, 'merged-data'); + setTimeout(() => { + createDataFlow(materializedView, applications, 'merged-data'); + }, 400); + }, 3000); + }; + + setTimeout(() => { + startDataChangeIndicators(); + startDataFlowAnimations(); + }, 3000); + + return () => { + const indicators = container.querySelectorAll('.data-indicator'); + const flows = container.querySelectorAll('.data-flow'); + + indicators.forEach(el => el.remove()); + flows.forEach(el => el.remove()); + }; + }, []); + + return ( +
    +

    + +
    + {/* Multi-Tables */} +
    +
    Multi-Tables
    +
    Zero Impact
    +
    +
    +
    users
    +
    + user_id +
    +
    + user_name +
    +
    + user_level +
    +
    + country +
    +
    + city +
    +
    + signup_time +
    +
    + +
    +
    orders
    +
    + order_id +
    +
    + user_id +
    +
    + order_status +
    +
    + order_amount +
    +
    + payment_method +
    +
    + order_time +
    +
    + ... +
    +
    +
    +
    + +
    +
    + + + +
    +
    + + + +
    +
    + + {/* Processing */} +
    +
    Real-time CDC
    +
    +
    +
    + + + + +
    +
    TapData
    +
    Operational Data Hub
    +
    Incremental Processing
    +
    +
    + +
    +
    + + + +
    +
    + + + +
    +
    + + {/* Materialized View */} +
    +
    Incremental Materialized View
    +
    +
    + One Unified View +
    LIVE
    +
    +
    +
    + ✓ + Always up-to-date +
    +
    + ✓ + No complex joins required +
    +
    + ✓ + Fast, analysis-ready data +
    +
    + ✓ + Power your BI and apps instantly +
    +
    +
    +
    + +
    +
    + + + +
    +
    + + + +
    +
    + + {/* Applications */} +
    +
    Typical Applications
    +
    +
    + 📊 + BI Reports +
    +
    + 🔌 + Kafka +
    +
    + 🗄️ + Databases +
    +
    + 🤖 + AI MCP +
    +
    + 🔗 + API +
    +
    +
    +
    +
    + ); +}; + +export default TapDataFlowAnimation; diff --git a/src/components/Animation/TapDataFlowAnimation.module.css b/src/components/Animation/TapDataFlowAnimation.module.css new file mode 100644 index 00000000..374f3c2f --- /dev/null +++ b/src/components/Animation/TapDataFlowAnimation.module.css @@ -0,0 +1,676 @@ +/* TapData Flow Animation - Adapted for Docusaurus */ +.container { + font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; + background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%); + min-height: 500px; + padding: 20px; + position: relative; + width: 100%; + margin: 20px 0; + box-sizing: border-box; + border-radius: 16px; + overflow: hidden; +} + +.title { + text-align: center; + font-size: 32px; + font-weight: 600; + color: #2c3e50; + margin-bottom: 50px; + text-shadow: 0 2px 4px rgba(0,0,0,0.1); +} + +.flowContainer { + display: flex; + align-items: center; + justify-content: space-between; + gap: 2%; + position: relative; + width: 100%; + margin: 0 auto; + min-height: 400px; +} + +/* Multi-Tables Section */ +.multiTables { + flex: 1.5; + min-width: 0; + opacity: 0; + animation: slideInLeft 1s ease-out 0.5s forwards; +} + +.sectionTitle { + font-size: 18px; + font-weight: 600; + color: #4a5568; + margin-bottom: 20px; + text-align: center; + position: relative; +} + +.valueBadge { + position: absolute; + top: -45px; + left: 50%; + transform: translateX(-50%); + background: linear-gradient(135deg, #ffffff 0%, #f8fafc 100%); + border: 2px solid; + border-radius: 20px; + padding: 6px 14px; + font-size: 11px; + font-weight: 700; + text-transform: uppercase; + letter-spacing: 0.5px; + box-shadow: 0 4px 12px rgba(0,0,0,0.1); + opacity: 0; + animation: badgeSlideIn 1s ease-out forwards; + z-index: 20; + white-space: nowrap; +} + +.valueBadge.zeroImpact { + color: #8b5cf6; + border-color: #8b5cf6; + animation-delay: 4s; +} + +.tablesContainer { + display: flex; + flex-direction: column; + gap: 15px; +} + +.table { + background: white; + border-radius: 8px; + box-shadow: 0 4px 12px rgba(0,0,0,0.1); + overflow: hidden; + border: 2px solid transparent; + transition: all 0.3s ease; +} + +.table.users { + border-color: #f59e0b; +} + +.table.orders { + border-color: #3182ce; +} + +.tableHeader { + padding: 12px 16px; + font-weight: 600; + font-size: 14px; + color: white; +} + +.table.users .tableHeader { + background: #f59e0b; +} + +.table.orders .tableHeader { + background: #3182ce; +} + +.tableRow { + padding: 8px 16px; + font-size: 12px; + color: #718096; + border-bottom: 1px solid #e2e8f0; + display: flex; + justify-content: space-between; +} + +.tableRow:last-child { + border-bottom: none; +} + +/* Processing Section */ +.processing { + flex: 2.8; + min-width: 0; + display: flex; + flex-direction: column; + align-items: center; + gap: 20px; + opacity: 0; + animation: fadeIn 1s ease-out 1s forwards; +} + +.tapdataPlatform { + background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); + color: white; + padding: 20px 24px; + border-radius: 12px; + text-align: center; + box-shadow: 0 8px 20px rgba(102, 126, 234, 0.3); + transform: scale(0.8); + animation: scaleUp 0.8s ease-out 1.5s forwards, platformPulse 3s ease-in-out infinite 2.5s; + position: relative; + overflow: visible; + width: 100%; + max-width: 280px; +} + +/* Data processing rings */ +.tapdataPlatform::before { + content: ''; + position: absolute; + top: 50%; + left: 50%; + width: 120%; + height: 120%; + border: 2px solid rgba(255, 255, 255, 0.3); + border-radius: 50%; + transform: translate(-50%, -50%); + animation: processingRing1 2s ease-in-out infinite; +} + +.tapdataPlatform::after { + content: ''; + position: absolute; + top: 50%; + left: 50%; + width: 140%; + height: 140%; + border: 1px solid rgba(255, 255, 255, 0.2); + border-radius: 50%; + transform: translate(-50%, -50%); + animation: processingRing2 2s ease-in-out infinite 0.5s; +} + +.processingIndicator { + position: absolute; + top: 8px; + right: 8px; + width: 10px; + height: 10px; + background: #10b981; + border-radius: 50%; + animation: processingPulse 1.5s ease-in-out infinite; + box-shadow: 0 0 8px rgba(16, 185, 129, 0.6); +} + +.dataProcessor { + position: absolute; + top: 6px; + left: 6px; + width: 40px; + height: 40px; + pointer-events: none; + z-index: 10; +} + +.dataProcessor svg { + width: 100%; + height: 100%; + animation: engineJiggle 4s ease-in-out infinite; +} + +.platformTitle { + font-size: 18px; + font-weight: 600; + margin-bottom: 8px; +} + +.platformSubtitle { + font-size: 14px; + opacity: 0.9; +} + +/* Double Flow Arrows */ +.arrow { + width: 60px !important; + height: 40px !important; + position: relative; + opacity: 0; + display: flex; + align-items: center; + justify-content: space-between; + margin: 0 auto; + flex: 0 0 60px; +} + +.arrow .flowChevron { + width: 20px !important; + height: 20px !important; + opacity: 0; + flex-shrink: 0; +} + +.arrow .flowChevron:nth-child(1) { + animation: chevronFlow 2s ease-in-out infinite; +} + +.arrow .flowChevron:nth-child(2) { + animation: chevronFlow 2s ease-in-out infinite 0.4s; +} + +.arrow .flowChevron svg { + width: 100%; + height: 100%; +} + +.arrow .flowChevron svg path { + fill: #3b82f6; +} + +.arrow.animated { + animation: drawArrow 0.8s ease-out forwards; +} + +.arrow.animated .flowChevron:nth-child(1) { + animation: drawArrow 0.8s ease-out forwards, chevronFlow 2s ease-in-out infinite 1s; +} + +.arrow.animated .flowChevron:nth-child(2) { + animation: drawArrow 0.8s ease-out forwards, chevronFlow 2s ease-in-out infinite 1.4s; +} + +.arrow:nth-of-type(1) { animation-delay: 1.2s; } +.arrow:nth-of-type(2) { animation-delay: 1.8s; } +.arrow:nth-of-type(3) { animation-delay: 2.3s; } + +/* Materialized View */ +.materializedView { + flex: 3.2; + min-width: 0; + opacity: 0; + animation: slideInRight 1s ease-out 2s forwards; +} + +.mvContainer { + background: white; + border-radius: 16px; + box-shadow: 0 6px 16px rgba(56, 161, 105, 0.2); + overflow: hidden; + border: 2px solid #38a169; + width: 100%; +} + +.mvHeader { + background: #38a169; + color: white; + padding: 16px; + text-align: center; + font-weight: 600; + position: relative; + padding-right: 65px; +} + +.realtimeIndicator { + position: absolute; + top: 10px; + right: 10px; + background: #10b981; + color: white; + padding: 6px 12px; + border-radius: 12px; + font-size: 12px; + font-weight: 600; + animation: blink 2s ease-in-out infinite; + z-index: 10; + letter-spacing: 0.5px; +} + +.mvContent { + padding: 16px; + background: #f0fff4; +} + +.mvFeature { + display: flex; + align-items: center; + gap: 8px; + margin-bottom: 8px; + font-size: 12px; + color: #2d3748; +} + +.mvFeature:last-child { + margin-bottom: 0; +} + +.checkmark { + color: #38a169; + font-weight: bold; +} + +/* Applications */ +.applications { + flex: 1.5; + min-width: 0; + opacity: 0; + animation: slideInRight 1s ease-out 2.5s forwards; +} + +.appsContainer { + display: flex; + flex-direction: column; + gap: 10px; + align-items: center; + animation: appsFloat 4s ease-in-out infinite; +} + +.appItem { + display: flex; + align-items: center; + gap: 10px; + padding: 10px 14px; + background: linear-gradient(135deg, #ffffff 0%, #f8fafc 100%); + border-radius: 12px; + box-shadow: 0 2px 8px rgba(0,0,0,0.06); + font-size: 12px; + color: #4b5563; + width: 100%; + transition: all 0.3s ease; + border: 1px solid #e5e7eb; + font-weight: 500; + opacity: 0; + animation: appItemAppear 0.6s ease-out forwards; + justify-content: flex-start; +} + +.appItem:nth-child(1) { animation-delay: 3s; } +.appItem:nth-child(2) { animation-delay: 3.2s; } +.appItem:nth-child(3) { animation-delay: 3.4s; } +.appItem:nth-child(4) { animation-delay: 3.6s; } +.appItem:nth-child(5) { animation-delay: 3.8s; } + +.appItem:hover { + transform: translateY(-2px); + box-shadow: 0 4px 16px rgba(0,0,0,0.12); + background: linear-gradient(135deg, #ffffff 0%, #f1f5f9 100%); + border-color: #d1d5db; +} + +/* Data Flow Animation - Global styles */ +:global(.data-flow) { + position: absolute; + width: 10px; + height: 10px; + border-radius: 50%; + opacity: 0; + z-index: 10; +} + +:global(.data-flow.users-data) { + background: linear-gradient(45deg, #f59e0b, #fbbf24); + box-shadow: 0 0 10px rgba(245, 158, 11, 0.5); +} + +:global(.data-flow.orders-data) { + background: linear-gradient(45deg, #3182ce, #63b3ed); + box-shadow: 0 0 10px rgba(49, 130, 206, 0.5); +} + +:global(.data-flow.merged-data) { + background: linear-gradient(45deg, #38a169, #68d391); + box-shadow: 0 0 10px rgba(56, 161, 105, 0.5); +} + +:global(.data-flow.active) { + animation: flowData 3s ease-in-out infinite; +} + +/* Data change indicators */ +:global(.data-indicator) { + position: absolute; + width: 10px; + height: 10px; + background: #f56565; + border-radius: 50%; + opacity: 0; + animation: pulse 2s ease-in-out infinite; + box-shadow: 0 0 6px rgba(0,0,0,0.2); +} + +:global(.data-indicator.users) { background: #f59e0b; } +:global(.data-indicator.orders) { background: #3182ce; } + +/* Animations */ +@keyframes fadeIn { + from { opacity: 0; } + to { opacity: 1; } +} + +@keyframes slideInLeft { + from { + opacity: 0; + transform: translateX(-50px); + } + to { + opacity: 1; + transform: translateX(0); + } +} + +@keyframes slideInRight { + from { + opacity: 0; + transform: translateX(50px); + } + to { + opacity: 1; + transform: translateX(0); + } +} + +@keyframes scaleUp { + from { transform: scale(0.8); } + to { transform: scale(1); } +} + +@keyframes badgeSlideIn { + 0% { + opacity: 0; + transform: translateX(-50%) translateY(20px) scale(0.8); + } + 100% { + opacity: 1; + transform: translateX(-50%) translateY(0) scale(1); + } +} + +@keyframes platformPulse { + 0%, 100% { + transform: scale(1); + box-shadow: 0 8px 20px rgba(102, 126, 234, 0.3); + } + 50% { + transform: scale(1.05); + box-shadow: 0 12px 30px rgba(102, 126, 234, 0.5); + } +} + +@keyframes processingRing1 { + 0% { + transform: translate(-50%, -50%) scale(0.8); + opacity: 0.8; + } + 50% { + transform: translate(-50%, -50%) scale(1); + opacity: 0.4; + } + 100% { + transform: translate(-50%, -50%) scale(1.2); + opacity: 0; + } +} + +@keyframes processingRing2 { + 0% { + transform: translate(-50%, -50%) scale(0.8); + opacity: 0.6; + } + 50% { + transform: translate(-50%, -50%) scale(1); + opacity: 0.3; + } + 100% { + transform: translate(-50%, -50%) scale(1.2); + opacity: 0; + } +} + +@keyframes processingPulse { + 0%, 100% { + opacity: 1; + transform: scale(1); + box-shadow: 0 0 8px rgba(16, 185, 129, 0.6); + } + 50% { + opacity: 0.7; + transform: scale(1.3); + box-shadow: 0 0 15px rgba(16, 185, 129, 0.8); + } +} + +@keyframes engineJiggle { + 0%, 85%, 100% { transform: translateX(0) translateY(0) rotate(0deg); } + 1% { transform: translateX(-1px) translateY(0.5px) rotate(-0.5deg); } + 2% { transform: translateX(1px) translateY(-0.5px) rotate(0.5deg); } + 3% { transform: translateX(-0.5px) translateY(1px) rotate(-0.3deg); } + 4% { transform: translateX(0.5px) translateY(-1px) rotate(0.3deg); } + 5% { transform: translateX(-1px) translateY(-0.5px) rotate(-0.5deg); } + 6% { transform: translateX(1px) translateY(0.5px) rotate(0.5deg); } + 7% { transform: translateX(-0.5px) translateY(-1px) rotate(-0.3deg); } + 8% { transform: translateX(0.5px) translateY(1px) rotate(0.3deg); } + 9% { transform: translateX(-1px) translateY(0) rotate(-0.5deg); } + 10% { transform: translateX(0) translateY(0) rotate(0deg); } +} + +@keyframes chevronFlow { + 0% { + opacity: 0; + transform: translateX(-10px) scale(0.8); + } + 50% { + opacity: 1; + transform: translateX(0) scale(1); + } + 100% { + opacity: 0; + transform: translateX(10px) scale(0.8); + } +} + +@keyframes drawArrow { + from { + opacity: 0; + width: 0; + } + to { + opacity: 1; + width: 60px; + } +} + +@keyframes appsFloat { + 0%, 100% { transform: translateY(0); } + 50% { transform: translateY(-8px); } +} + +@keyframes appItemAppear { + 0% { + opacity: 0; + transform: translateY(20px); + } + 100% { + opacity: 1; + transform: translateY(0); + } +} + +@keyframes blink { + 0%, 50% { opacity: 1; } + 25%, 75% { opacity: 0.5; } +} + +@keyframes flowData { + 0% { opacity: 0; transform: translateX(0) scale(0.5); } + 20% { opacity: 1; transform: translateX(20%) scale(1); } + 80% { opacity: 1; transform: translateX(80%) scale(1); } + 100% { opacity: 0; transform: translateX(100%) scale(0.5); } +} + +@keyframes pulse { + 0%, 100% { opacity: 0; transform: scale(0.5); } + 50% { opacity: 1; transform: scale(1.5); } +} + +/* Responsive Design */ +@media (max-width: 1200px) { + .flowContainer { + gap: 1.5%; + } + + .arrow { + width: 50px !important; + flex: 0 0 50px; + } + + .arrow .flowChevron { + width: 16px !important; + height: 16px !important; + } +} + +@media (max-width: 900px) { + .flowContainer { + gap: 1%; + } + + .arrow { + width: 40px !important; + flex: 0 0 40px; + } + + .arrow .flowChevron { + width: 14px !important; + height: 14px !important; + } + + .appItem { + font-size: 11px; + padding: 8px 12px; + gap: 8px; + } + + .tapdataPlatform { + max-width: 200px; + padding: 16px 20px; + } +} + +@media (max-width: 768px) { + .container { + min-height: 400px; + padding: 15px; + } + + .flowContainer { + flex-direction: column; + gap: 20px; + } + + .multiTables, + .processing, + .materializedView, + .applications { + flex: none; + width: 100%; + } + + .arrow { + transform: rotate(90deg); + width: 40px !important; + height: 20px !important; + } + + .arrow .flowChevron { + width: 12px !important; + height: 12px !important; + } +} From 6a7096957873c8d6cd31f15d2e6c73dbeb3ac181 Mon Sep 17 00:00:00 2001 From: Walter Date: Mon, 14 Jul 2025 21:59:08 +0800 Subject: [PATCH 08/42] Update FDM docs --- .../build-real-time-materialized-view.md | 2 +- docs/images/choose_replication_mode.png | Bin 0 -> 94595 bytes docs/images/drag_table_to_fdm.png | Bin 0 -> 57926 bytes docs/images/fdm_category.png | Bin 0 -> 51642 bytes docs/images/lineage_for_fdm.png | Bin 0 -> 74979 bytes docs/images/odh_architecture.png | Bin 0 -> 168970 bytes docs/images/related_task_in_fdm.png | Bin 0 -> 92318 bytes docs/images/schema_in_fdm.png | Bin 0 -> 71156 bytes docs/images/table_overview_in_fdm.png | Bin 0 -> 91439 bytes docs/images/view_table_in_fdm.png | Bin 0 -> 65398 bytes .../fdm-layer/monitor-sync-task.md | 34 ++++++++- .../fdm-layer/replicate-data.md | 41 ++++++---- .../fdm-layer/validate-data-quality.md | 70 +++++++++++++++++- .../fdm-layer}/validate-views.md | 12 +-- .../plan-data-platform.md | 4 +- sidebars.js | 7 +- .../Animation/TapDataFlowAnimation.module.css | 2 +- 17 files changed, 143 insertions(+), 29 deletions(-) create mode 100644 docs/images/choose_replication_mode.png create mode 100644 docs/images/drag_table_to_fdm.png create mode 100644 docs/images/fdm_category.png create mode 100644 docs/images/lineage_for_fdm.png create mode 100644 docs/images/odh_architecture.png create mode 100644 docs/images/related_task_in_fdm.png create mode 100644 docs/images/schema_in_fdm.png create mode 100644 docs/images/table_overview_in_fdm.png create mode 100644 docs/images/view_table_in_fdm.png rename docs/{design-incremental-views => operational-data-hub/fdm-layer}/validate-views.md (94%) diff --git a/docs/getting-started/build-real-time-materialized-view.md b/docs/getting-started/build-real-time-materialized-view.md index c99cafa0..1f9afa1d 100644 --- a/docs/getting-started/build-real-time-materialized-view.md +++ b/docs/getting-started/build-real-time-materialized-view.md @@ -16,7 +16,7 @@ import TapDataFlowAnimation from '@site/src/components/Animation/TapDataFlowAnim In traditional databases, you'd have to run complex multi-table JOINs between your orders and users tables. When data volumes are large, these queries can be slow and put pressure on production systems. IT might even ask you to run them during off-peak hours—slowing down your entire analysis workflow and limiting your team's agility. -![IMV Solution](../images/imv-solution.gif) + With **TapData’s real-time materialized views**, you can automatically join your orders and users tables into a single, always-up-to-date view synced to MongoDB. Your BI tools or APIs can query this single, denormalized table to get the latest data instantly—no complex SQL, no load on your operational systems. 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In the configuration dialog, set a **table prefix** and choose the replication mode (**full** or **incremental**). + ![Drag table to FMD](../../images/drag_table_to_fdm.png) + +5. In the configuration dialog, set a **table prefix** and choose the replication mode (**Full and Incremental Sync** or **Full Sync**). + + ![Setting FDM task](../../images/choose_replication_mode.png) Tapdata automatically generates the FDM-layer naming pattern for you, which typically includes the `FDM_` prefix plus your table name. - Here you can add your **source system identifier** to make it easier for business teams to recognize the origin of the data. + Here you can add your **source system identifier** to make it easier for business teams to recognize the origin of the data. For more naming best practices, see [Plan Your Operational Data Hub](../replicate-data.md). 6. Click **Save & Run** to immediately start the replication. + + Tapdata will automatically create and launch a real-time replication task, continuously syncing your selected tables into the **FDM (Platform Cache) Layer** with built-in validation. + To monitor the task, click the icon next to the table name—this opens the job monitoring page with live status and performance metrics. + + ![FDM Category](../../images/fdm_category.png) + + Tapdata also helps keep things organized by automatically creating a **folder** in the Platform Cache named after your source connection. Your new replication task will appear inside this folder, making it easier to manage and find related tables from the same source. - Tapdata will create and launch a real-time replication task, continuously syncing your selected tables to the FDM layer with built-in validation. + If you want to rename the folder, simply **hover over it**, click the vertical three-dot (**⋮**) icon, and select **Edit** to change its name. - To monitor the task, click the icon next to the table name in the Platform Cache. This opens the job monitoring page with live status and performance metrics. -6. Tapdata will automatically create and launch a real-time replication task, copying data to the FDM layer and validating it. - To monitor the job, click the icon next to the table name in the Platform Cache—this takes you to the job monitoring page for live status and stats. - **Need more control?** - If you want to adjust advanced options—like read concurrency, batch size, hash-based sharding (for splitting large tables during full sync), or index replication—click **Save Only** instead of **Save & Run**. - After saving, locate your new task in the list, click its name, and configure these settings before running it. + +:::tip + +**Need more control?** +If you want to adjust advanced options—like read concurrency, batch size, hash-based sharding (for splitting large tables during full sync), or index replication—click **Only Save** instead of **Save & Run**. +After saving, locate your new task in the list, click its name, and configure these settings before running it. + +::: ## Next Step -[Data Validation](validate-data-quality.md) \ No newline at end of file +- [Monitor Sync Tasks](monitor-sync-task.md) +- [Data Validation](validate-data-quality.md) \ No newline at end of file diff --git a/docs/operational-data-hub/fdm-layer/validate-data-quality.md b/docs/operational-data-hub/fdm-layer/validate-data-quality.md index fcd75f9f..8b5a175c 100644 --- a/docs/operational-data-hub/fdm-layer/validate-data-quality.md +++ b/docs/operational-data-hub/fdm-layer/validate-data-quality.md @@ -1 +1,69 @@ -# Validate Data Quality \ No newline at end of file +# Validate Data Quality + +Tapdata’s data validation feature helps you ensure data integrity throughout your real-time pipelines. Built on robust in-house technology, it verifies that your replicated data remains consistent between source and target, helping you meet strict production-quality requirements. This guide explains how to configure and manage data validation tasks. + +## Background + +Maintaining trust in your data is critical—especially when delivering real-time insights or meeting strict compliance requirements. Tapdata’s CDC-powered pipelines deliver high-quality replication to the Platform Cache (FDM Layer), while built-in validation tools ensure your data remains consistent, reliable, and fully traceable at every step. + +Tapdata provides a flexible data validation framework that helps you: + +- Confidently verify record counts and field-level accuracy between your source systems and the Platform Cache (FDM Layer) +- Quickly detect and analyze discrepancies to support real-time operations +- Configure alerts and outputs to fit your team’s workflow + +Whether you’re managing a single replication job or hundreds of pipelines across teams, Tapdata’s validation features give you complete confidence in your data integrity. + +## Limitation + +Data validation is **not supported** for queue-based sources like Kafka. + +## Configure a Validation Task + +1. [Log in to Tapdata](../../user-guide/log-in.md). + +2. In the left sidebar, select **Data Validation**. + +3. On the validation page, click the button in the top-right corner to choose your validation type: + + - **Task Consistency Validation**: Use this to validate data consistency for a specific replication task between your source and FDM layer. + - **Any Table Data Validation**: Use this option to validate data between any two tables you have access to in Tapdata, even if they aren’t linked to a specific replication task. This is useful for ad hoc checks or legacy system comparisons. + +4. In the setup page, complete the following fields: + + ![Setting validation Task](../../images/check_data_settings.png) + + - **Choose Task**: Select the replication task you want to validate. Tasks created when syncing to the FDM layer follow the naming pattern `TableName_Clone_To_FDM_`. + Tip: You can also see the linked task by clicking the table name within the FDM layer view. + - **Validation Name**: Enter a meaningful name for your validation task that reflects the business context. + - **Type**: Choose the validation method that matches your needs: + - **Count Validation**: Compares row counts only. Fastest, but doesn’t show detailed differences. + - **All Fields Validation**: Compares all fields row by row. Shows all differences but is slower. + - **Related Fields Validation**: Compares only key fields that have sortable indexes. Medium speed, good for partial checks. + - **Hash Validation**: Computes and compares hashes between source and target tables. Faster than row-by-row but only supported for homogeneous data sources. + - **Advanced Configuration (Optional)**: Click **Advanced Settings** to customize: + - **Result Output**: Choose whether to output all mismatched records or only those missing in the source. + - **Validation Frequency**: By default, validation runs once. You can schedule repeated validations with a start time, end time, and interval. + - **Validation Task Alert**: Set up rules for sending alerts when the task fails or when discrepancies are found. + - **Number of Saved Errors**: Set the maximum number of inconsistent records to save (default is 100, max 10,000). Recommended to use higher limits for better traceability. + - **Table Configuration**: By default, Tapdata automatically loads the source and target tables from your replication or development task. You can enable **Data Filtering** to validate only a subset of data with custom SQL or aggregation queries. Advanced users can also add **custom JavaScript validation logic**. + +5. Click **Save** to add the validation task to your list. + Then, in the task list, click **Run** next to your new validation task to start validation. + +## Manage Validation Results + +Click the **Result** link for any validation task to view its results in depth. For any inconsistencies, you can: + +- Use **One-Click Repair** to automatically align data between source and target. +- Download detailed mismatch reports for further analysis. + +![View validation Results](../../images/check_data_result_en.png) + +For **Full Table Value Validation** or **Key Field Value Validation**, you can also click **Diff Validation** in the top-right corner to re-run validation only on the previously identified differences, confirming whether they have been resolved. + +## FAQ + +**Q: Why might my validation task fail or report differences?** +A: See our troubleshooting guide here: [Data Validation FAQs](https://docs.tapdata.net/faq/data-pipeline#check-data). + diff --git a/docs/design-incremental-views/validate-views.md b/docs/operational-data-hub/fdm-layer/validate-views.md similarity index 94% rename from docs/design-incremental-views/validate-views.md rename to docs/operational-data-hub/fdm-layer/validate-views.md index 03bca644..af9c4462 100644 --- a/docs/design-incremental-views/validate-views.md +++ b/docs/operational-data-hub/fdm-layer/validate-views.md @@ -1,6 +1,6 @@ # Validate View Results -import Content from '../reuse-content/_all-features.md'; +import Content from '../../reuse-content/_all-features.md'; @@ -24,7 +24,7 @@ import TabItem from '@theme/TabItem'; ``` -![Setting validation Task](../images/check_data_settings.png) +![Setting validation Task](../../images/check_data_settings.png) - **Choose Job**: Choose the data replication/data transformation task to verify. - **Verify Task Name**: Enter a meaningful name for the task. @@ -44,7 +44,7 @@ import TabItem from '@theme/TabItem'; -![Setting validation Task](../images/check_data_settings_2.png) +![Setting validation Task](../../images/check_data_settings_2.png) @@ -70,7 +70,7 @@ import TabItem from '@theme/TabItem'; 5. (Optional) Click on **Result** for the verification task to view detailed verification results. For discrepancies, you can click **Data Correction** to align the data or **Download** for in-depth analysis. - ![View validation Results](../images/check_data_result_en.png) + ![View validation Results](../../images/check_data_result_en.png) :::tip @@ -84,8 +84,8 @@ import TabItem from '@theme/TabItem'; ## Common Issues -For troubleshooting methods regarding failed validation tasks or inconsistent validation data, see [Common Questions on Data validation](../faq/data-pipeline.md#check-data). +For troubleshooting methods regarding failed validation tasks or inconsistent validation data, see [Common Questions on Data validation](../../faq/data-pipeline.md#check-data). ## See also -[Incremental Data Validation](../user-guide/incremental-check.md) \ No newline at end of file +[Incremental Data Validation](../../user-guide/incremental-check.md) \ No newline at end of file diff --git a/docs/operational-data-hub/plan-data-platform.md b/docs/operational-data-hub/plan-data-platform.md index 6fa0a42f..3957c3fa 100644 --- a/docs/operational-data-hub/plan-data-platform.md +++ b/docs/operational-data-hub/plan-data-platform.md @@ -34,10 +34,10 @@ With an ODH, you move from siloed, hard-to-manage data flows to a single, unifie Tapdata's ODH design breaks this journey into clear, manageable layers: -![Tapdata's Layered Approach](../images/ldp_architecture.png) +![Tapdata's Layered Approach](../images/odh_architecture.png) | Layer | Purpose | -| ---- | | +| ---------------------------- | ------------------------------------------------------------ | | **Source Data Layer** | Connect to and abstract data from all business systems and sources, without disrupting existing operations. | | **Platform Cache (FDM)** | Use real-time change data capture (CDC) to mirror source tables safely, reducing load on critical systems. | | **Processing Layer (MDM)** | Transform, clean, and model data into standardized business entities and wide tables for consistent consumption. | diff --git a/sidebars.js b/sidebars.js index 941cf4ba..06908b17 100644 --- a/sidebars.js +++ b/sidebars.js @@ -229,7 +229,6 @@ const sidebars = { 'design-incremental-views/create-views/using-tapflow', ], }, - 'design-incremental-views/validate-views', 'design-incremental-views/design-considerations', 'design-incremental-views/monitor-view-tasks', ], @@ -259,7 +258,7 @@ const sidebars = { 'operational-data-hub/plan-data-platform', { type: 'category', - label: 'FDM Layer', + label: 'Ingest and Sync Data (FDM Layer)', link: { type: 'doc', id: 'operational-data-hub/fdm-layer/README' }, items: [ 'operational-data-hub/fdm-layer/replicate-data', @@ -269,7 +268,7 @@ const sidebars = { }, { type: 'category', - label: 'MDM Layer', + label: 'Design and Transform Data (MDM Layer)', link: { type: 'doc', id: 'operational-data-hub/mdm-layer/README' }, items: [ 'operational-data-hub/mdm-layer/define-data-categories', @@ -279,7 +278,7 @@ const sidebars = { }, { type: 'category', - label: 'ADM Layer', + label: 'Deliver Data (ADM Layer)', link: { type: 'doc', id: 'operational-data-hub/adm-layer/README' }, items: [ 'operational-data-hub/adm-layer/integrate-apis', diff --git a/src/components/Animation/TapDataFlowAnimation.module.css b/src/components/Animation/TapDataFlowAnimation.module.css index 374f3c2f..1933f390 100644 --- a/src/components/Animation/TapDataFlowAnimation.module.css +++ b/src/components/Animation/TapDataFlowAnimation.module.css @@ -41,7 +41,7 @@ } .sectionTitle { - font-size: 18px; + font-size: 16px; font-weight: 600; color: #4a5568; margin-bottom: 20px; From ebab35687eae98516443abf038838090d6636086 Mon Sep 17 00:00:00 2001 From: Walter Date: Sat, 19 Jul 2025 14:55:58 +0800 Subject: [PATCH 09/42] Update sidebars and fdm&mdm --- .../install-enterprise-edition/README.md | 2 +- .../install-on-windows.md | 4 +- .../install-tapdata-stand-alone.md | 4 +- .../best-practice/alert-via-qqmail.md | 2 +- .../best-practice/handle-schema-changes.md | 2 +- .../manage-connection.md | 2 +- docs/connectors/mq-and-middleware/rocketmq.md | 2 +- docs/faq/data-pipeline.md | 2 +- .../install-community-edition.md | 2 +- docs/getting-started/publish-imv-as-api.md | 22 +- docs/images/add_field_rename_node.png | Bin 0 -> 50736 bytes docs/images/create_category_in_mdm.png | Bin 0 -> 179056 bytes docs/images/delete_phone_field.png | Bin 0 -> 103266 bytes docs/images/fmd_users_table_demo.png | Bin 0 -> 70692 bytes docs/images/mask_email_info.png | Bin 0 -> 112889 bytes docs/images/pre_build_in_mdm.png | Bin 0 -> 20353 bytes docs/images/related_task_in_fdm.png | Bin 92318 -> 94829 bytes docs/images/select_tables_from_fdm.png | Bin 0 -> 98322 bytes docs/images/set_primary_key_for_user.png | Bin 0 -> 142921 bytes docs/introduction/compare-editions.md | 8 +- .../fdm-layer/monitor-sync-task.md | 33 -- .../fdm-layer/replicate-data.md | 11 +- docs/operational-data-hub/mcp/introduction.md | 2 +- docs/operational-data-hub/mcp/quick-start.md | 4 +- .../mdm-layer/build-view-in-odh.md | 39 +- 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docs/what-is-tapdata.md | 70 ++-- sidebars.js | 242 +++++------ 53 files changed, 437 insertions(+), 649 deletions(-) rename docs/{user-guide => connectors}/manage-connection.md (95%) create mode 100644 docs/images/add_field_rename_node.png create mode 100644 docs/images/create_category_in_mdm.png create mode 100644 docs/images/delete_phone_field.png create mode 100644 docs/images/fmd_users_table_demo.png create mode 100644 docs/images/mask_email_info.png create mode 100644 docs/images/pre_build_in_mdm.png create mode 100644 docs/images/select_tables_from_fdm.png create mode 100644 docs/images/set_primary_key_for_user.png delete mode 100644 docs/operational-data-hub/fdm-layer/monitor-sync-task.md rename docs/{administration => platform-ops}/README.md (85%) rename docs/{administration => platform-ops}/emergency-plan.md (100%) rename docs/{administration => platform-ops}/operation.md (99%) rename docs/{administration => platform-ops}/production-deploy/README.md (100%) rename docs/{administration => platform-ops}/production-deploy/install-replica-mongodb.md (100%) rename docs/{administration => platform-ops}/production-deploy/install-tapdata-ha-with-3-node.md (100%) rename docs/{administration => platform-ops}/production-deploy/install-tapdata-ha.md (100%) rename docs/{administration => platform-ops}/troubleshooting/README.md (100%) rename docs/{administration => platform-ops}/troubleshooting/error-and-solutions.md (100%) rename docs/{administration => platform-ops}/troubleshooting/error-code.md (100%) create mode 100644 docs/system-admin/README.md rename docs/{user-guide/manage-system => system-admin}/manage-cluster.md (54%) rename docs/{user-guide/manage-system => system-admin}/manage-role.md (90%) rename docs/{user-guide/manage-system => system-admin}/manage-user.md (92%) rename docs/{user-guide => system-admin}/operation-log.md (87%) rename docs/{user-guide => system-admin}/other-settings/README.md (100%) rename docs/{user-guide => system-admin}/other-settings/check-version.md (100%) rename docs/{user-guide => system-admin}/other-settings/manage-license.md (100%) rename docs/{user-guide => system-admin}/other-settings/notification.md (85%) rename docs/{user-guide => system-admin}/other-settings/system-settings.md (100%) delete mode 100644 docs/user-guide/data-development/process-node.md diff --git a/docs/backup-files/install-enterprise-edition/README.md b/docs/backup-files/install-enterprise-edition/README.md index 9ec48e5c..faf374c5 100644 --- a/docs/backup-files/install-enterprise-edition/README.md +++ b/docs/backup-files/install-enterprise-edition/README.md @@ -1,6 +1,6 @@ # TapData Enterprise -TapData Enterprise supports single-node or high-availability deployment. If you are deploying in a production environment, it is recommended to use the [high-availability deployment](../../administration/production-deploy/install-tapdata-ha.md) method. +TapData Enterprise supports single-node or high-availability deployment. If you are deploying in a production environment, it is recommended to use the [high-availability deployment](../../platform-ops/production-deploy/install-tapdata-ha.md) method. import DocCardList from '@theme/DocCardList'; diff --git a/docs/backup-files/install-enterprise-edition/install-on-windows.md b/docs/backup-files/install-enterprise-edition/install-on-windows.md index 9d11f107..ea86a541 100644 --- a/docs/backup-files/install-enterprise-edition/install-on-windows.md +++ b/docs/backup-files/install-enterprise-edition/install-on-windows.md @@ -4,7 +4,7 @@ This guide explains how to quickly deploy TapData services on a Windows platform :::tip -Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high-availability deployment](../../administration/production-deploy/install-tapdata-ha.md). +Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high-availability deployment](../../platform-ops/production-deploy/install-tapdata-ha.md). ::: @@ -17,7 +17,7 @@ Stand-alone deployment is suitable for functional testing scenarios. For product ## Preparation -1. [Install MongoDB](../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. +1. [Install MongoDB](../../platform-ops/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. 2. Log in to the target device, install Java 1.8 and set environment variables. diff --git a/docs/backup-files/install-enterprise-edition/install-tapdata-stand-alone.md b/docs/backup-files/install-enterprise-edition/install-tapdata-stand-alone.md index 6e2f1eef..3a13ec86 100644 --- a/docs/backup-files/install-enterprise-edition/install-tapdata-stand-alone.md +++ b/docs/backup-files/install-enterprise-edition/install-tapdata-stand-alone.md @@ -4,7 +4,7 @@ This document explains how to quickly deploy TapData service on a Linux platform :::tip -Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high availability deployment](../../administration/production-deploy/install-tapdata-ha.md). +Stand-alone deployment is suitable for functional testing scenarios. For production environments, it is recommended to use [high availability deployment](../../platform-ops/production-deploy/install-tapdata-ha.md). ::: @@ -39,7 +39,7 @@ This guide uses CentOS 7 as an example to demonstrate the deployment process. yum -y install java-1.8.0-openjdk ``` - 2. [Install MongoDB](../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. + 2. [Install MongoDB](../../platform-ops/production-deploy/install-replica-mongodb.md) (version 4.0 and above), which will serve as the storage system for TapData to run related data, such as logs and metadata. 3. Download the TapData installation package (contact us at [team@tapdata.io](mailto:team@tapdata.io) to obtain it) and upload it to the target device. diff --git a/docs/case-practices/best-practice/alert-via-qqmail.md b/docs/case-practices/best-practice/alert-via-qqmail.md index d5e6550e..f2f3d07b 100644 --- a/docs/case-practices/best-practice/alert-via-qqmail.md +++ b/docs/case-practices/best-practice/alert-via-qqmail.md @@ -14,7 +14,7 @@ You can also integrate other email services (such as 163 Mail) in TapData platfo ## Notes Tapdata can monitor task status and trigger alerts when specific events occur. -For configurable alert types, see [Alert Settings](../../user-guide/other-settings/notification.md). You can choose which events should trigger email notifications based on your needs. +For configurable alert types, see [Alert Settings](../../system-admin/other-settings/notification.md). You can choose which events should trigger email notifications based on your needs. ## Step One: Obtain Email Authorization Code diff --git a/docs/case-practices/best-practice/handle-schema-changes.md b/docs/case-practices/best-practice/handle-schema-changes.md index c6d81800..d06e6ea3 100644 --- a/docs/case-practices/best-practice/handle-schema-changes.md +++ b/docs/case-practices/best-practice/handle-schema-changes.md @@ -42,7 +42,7 @@ For data sources with weak Schema constraints, the Schema information of histori -If a DDL synchronization error causes a data synchronization task to interrupt, you can either undo the relevant DDL operation in the source database or choose to [reload the source database's Schema](../../user-guide/manage-connection.md), then reset and restart the task to repair it. +If a DDL synchronization error causes a data synchronization task to interrupt, you can either undo the relevant DDL operation in the source database or choose to [reload the source database's Schema](../../connectors/manage-connection.md), then reset and restart the task to repair it. Additionally, consulting the [task log](../../user-guide/copy-data/monitor-task.md) and [error codes](../../user-guide/error-code-solution.md) can aid in identifying and rectifying the root causes of the task failure. A normal DDL collection and application log example is as follows: diff --git a/docs/user-guide/manage-connection.md b/docs/connectors/manage-connection.md similarity index 95% rename from docs/user-guide/manage-connection.md rename to docs/connectors/manage-connection.md index 3ea304c2..7a7b874f 100644 --- a/docs/user-guide/manage-connection.md +++ b/docs/connectors/manage-connection.md @@ -9,7 +9,7 @@ This article provides a guide on the common operations for managing connections. ## Procedure -1. [Log in to TapData Platform](log-in.md). +1. [Log in to TapData Platform](../user-guide/log-in.md). 2. In the left navigation panel, click **Connections**. diff --git a/docs/connectors/mq-and-middleware/rocketmq.md b/docs/connectors/mq-and-middleware/rocketmq.md index 3a7a5804..349057fe 100644 --- a/docs/connectors/mq-and-middleware/rocketmq.md +++ b/docs/connectors/mq-and-middleware/rocketmq.md @@ -15,7 +15,7 @@ import Content from '../../reuse-content/_all-features.md'; Before configuring a RocketMQ connection, make sure your Tapdata platform or Agent version supports this connector. Otherwise, connection tests may return an error like `"the specified group is blank"`. -- For Tapdata Enterprise/Community users: [upgrade the platform](../../administration/operation.md) to the latest version +- For Tapdata Enterprise/Community users: [upgrade the platform](../../platform-ops/operation.md) to the latest version - For Tapdata Cloud users: [upgrade the Agent](../../user-guide/manage-agent.md) to the latest version ## Connect to RocketMQ diff --git a/docs/faq/data-pipeline.md b/docs/faq/data-pipeline.md index 30c12837..9370fdf3 100644 --- a/docs/faq/data-pipeline.md +++ b/docs/faq/data-pipeline.md @@ -21,7 +21,7 @@ Yes, in most cases, tasks will resume automatically under the following conditio - In the TapData Cloud, tasks continue running without impact. They will automatically resume after the network is restored. - In the TapData Enterprise, short interruptions have no effect. If the disconnection lasts longer than 10 minutes, tasks will automatically switch to another available engine. Full sync tasks will restart from the beginning, while incremental sync tasks will resume from the last checkpoint. - **Network interruption between the Engine and Data Source**: - - The system will attempt to reconnect within the configured [retry interval](../user-guide/other-settings/system-settings.md#task-setting). Once the connection is restored, the task will continue. + - The system will attempt to reconnect within the configured [retry interval](../system-admin/other-settings/system-settings.md#task-setting). Once the connection is restored, the task will continue. - If the network is not restored within the timeout period, the task will stop. After recovery, full sync tasks will restart from the beginning, and incremental tasks will resume from the last checkpoint. ### Does it support cross-region, cross-network data synchronization? diff --git a/docs/getting-started/install-and-setup/install-community-edition.md b/docs/getting-started/install-and-setup/install-community-edition.md index 72e7873f..f5e53e79 100644 --- a/docs/getting-started/install-and-setup/install-community-edition.md +++ b/docs/getting-started/install-and-setup/install-community-edition.md @@ -86,7 +86,7 @@ TapData Community includes the following main components: For example, for version 3.5.16, the command would be: `tar -zxvf tapdata-v3.5.16-663b7b11.tar.gz && cd tapdata` -3. [Install MongoDB](../../administration/production-deploy/install-replica-mongodb.md) (version 4.0 or later). TapData will use it as an intermediary database to store tasks and metadata. +3. [Install MongoDB](../../platform-ops/production-deploy/install-replica-mongodb.md) (version 4.0 or later). TapData will use it as an intermediary database to store tasks and metadata. 3. Execute the following command to specify the [URI connection string](https://www.mongodb.com/docs/v5.0/reference/connection-string/#standard-connection-string-format) of the MongoDB instance you just deployed. diff --git a/docs/getting-started/publish-imv-as-api.md b/docs/getting-started/publish-imv-as-api.md index 2554b64a..2f80b5bc 100644 --- a/docs/getting-started/publish-imv-as-api.md +++ b/docs/getting-started/publish-imv-as-api.md @@ -1,10 +1,10 @@ # Step 4: Publish Your View as an API -After creating your Incremental Materialized View for high-value order analysis, you can easily publish it as an API. This lets your marketing platforms, BI dashboards, or any downstream services securely access up-to-date data in real time—without additional ETL or complex SQL queries. +After creating your Incremental Materialized View, you can easily publish APIs that provide flexible read-only access to your view. This lets your marketing platforms, BI dashboards, or any downstream services securely access up-to-date data in real time—without additional ETL or complex SQL queries. ## Procedure -Follow these steps to publish your materialized view as an API service. +Follow these steps to publish an API service that provides access to [your materialized view](build-real-time-materialized-view.md). 1. Create an Application @@ -27,10 +27,17 @@ Follow these steps to publish your materialized view as an API service. ![Create API for view](../images/create_api_for_order_flat_view.png) - **Service Name**: Enter a clear, meaningful name for easy identification. + - **Access Scope**: Define which roles can call this API. - - **Own Application**: Select the application you just created, such as **E-commerce Analytics**. + + Haven’t [set up roles](../system-admin/manage-role.md) yet? You can leave this blank for now and add roles later. + + - **Own Application**: Select the application you just created, such as **E-commerce Analytics**. + - **Type**: Choose **MongoDB** as the data source type. - - **Name**: Select the Incremental Materialized View you created earlier—for example, `order_flat_view`. + + - **Name**: Select the Incremental Materialized View you created earlier—for example, `order_flat_view`. + - **API Path Settings**: You can keep the default endpoint or customize it as needed. 3. Click **Save**. @@ -41,4 +48,9 @@ Follow these steps to publish your materialized view as an API service. ### What’s next? -Create an API **client key**, choose **token or basic auth**, and share the endpoint with downstream systems. Your BI dashboards, CRM, or marketing automation tools can now fetch high-value-order data via REST or GraphQL—streaming fresh results every time without touching the production source database. \ No newline at end of file +Now that your API service is configured, complete the access and delivery setup: + +- [Create a Client](../publish-apis/create-api-client.md): Define access control by binding one or more **Roles**, and generate your authentication credentials (**token-based** or **basic auth**). +- [Create a Server](../publish-apis/create-api-server.md) (API Endpoint): Define the public-facing API path for your data service, which downstream systems like BI tools or marketing platforms will call. + +Once configured, your downstream applications can securely fetch fresh, high-value data via REST or GraphQL—without ever querying the production database. \ No newline at end of file diff --git a/docs/images/add_field_rename_node.png b/docs/images/add_field_rename_node.png new file mode 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    -1. [Log in to TapData Platform](../log-in.md). +1. [Log in to TapData Platform](../user-guide/log-in.md). 2. In the left navigation panel, click **Data Replication**. @@ -38,7 +36,7 @@ As an example of creating a data replication task, the article demonstrates the 4. On the left side of the page, you can drag and drop the source and destination data icons onto the right canvas. After placing them, you can connect them by drawing a line between them to establish the data flow for the replication task. - ![Drag Data Source to Canvas](../../images/drag_database.png) + ![Drag Data Source to Canvas](../images/drag_database.png) :::tip @@ -48,7 +46,7 @@ As an example of creating a data replication task, the article demonstrates the 5. Click the source node (MySQL in this example) to complete the parameter configuration of the right panel according to the following instructions. - ![Source Settings](../../images/data_source_settings.png) + ![Source Settings](../images/data_source_settings.png) * **Basic Settings** @@ -80,7 +78,7 @@ As an example of creating a data replication task, the article demonstrates the 6. Click on the target node, which in this example is MongoDB, to configure the parameters in the right panel based on the following instructions. - ![Basic settings](../../images/data_copy_normal_setting.png) + ![Basic settings](../images/data_copy_normal_setting.png) * **Basic Settings** * **Node Name**: Defaults to the connection name; you can also set a name that has business significance. @@ -101,7 +99,7 @@ As an example of creating a data replication task, the article demonstrates the * **Alert Settings** Defaults as per source node alert settings. -7. (Optional) Click the ![setting](../../images/setting.png) icon above to configure the task properties. +7. (Optional) Click the ![setting](../images/setting.png) icon above to configure the task properties. * **Task name**: Fill in a name that has business significance. * **Sync type**: You have the option to select **Full + incremental synchronization**, or you can choose to perform **Initial sync** and **CDC** (Change Data Capture) separately. In real-time data synchronization scenarios, using the combination of full and incremental data copying allows you to copy existing data from the source database to the target database. @@ -110,11 +108,11 @@ As an example of creating a data replication task, the article demonstrates the 8. Click **Start**, and you will be able to view the performance of the task on the current page, including metrics such as RPS (Records Per Second), delay, and task event statistics. - ![Task implementation](../../images/copy_data_monitor_en.png) + ![Task implementation](../images/copy_data_monitor_en.png) ## See also -[Monitor or Manage Tasks](manage-task.md) +[Monitor or Manage Tasks](../design-incremental-views/manage-task.md) diff --git a/docs/user-guide/incremental-check.md b/docs/data-replication/incremental-check.md similarity index 97% rename from docs/user-guide/incremental-check.md rename to docs/data-replication/incremental-check.md index c8e7a3ae..a82e49fd 100644 --- a/docs/user-guide/incremental-check.md +++ b/docs/data-replication/incremental-check.md @@ -1,9 +1,5 @@ # Incremental Data Validation -import Content from '../reuse-content/_enterprise-features.md'; - - - Incremental data validation is a real-time mechanism designed to enhance data accuracy and consistency. It periodically samples and compares newly inserted or updated records between the source and target systems to detect and automatically correct inconsistencies. ## Prerequisites @@ -34,7 +30,7 @@ To address these challenges, TapData introduces **Incremental Data Validation**, ## Procedure -1. [Log in to TapData Platform](log-in.md). +1. [Log in to TapData Platform](../user-guide/log-in.md). 2. Create a data replication or transformation task. diff --git a/docs/user-guide/data-development/manage-task.md b/docs/data-replication/manage-task.md similarity index 75% rename from docs/user-guide/data-development/manage-task.md rename to docs/data-replication/manage-task.md index 49fe9e13..f0c593a8 100644 --- a/docs/user-guide/data-development/manage-task.md +++ b/docs/data-replication/manage-task.md @@ -1,19 +1,17 @@ # Manage Data Transformation Task -import Content from '../../reuse-content/_all-features.md'; - After the replication task is created, you can monitor and manage the task in the task list. -![](../../images/manage_copy_dev_task_en.png) +![](../images/manage_copy_dev_task_en.png) | Operation | Description | | ----------------- | ------------------------------------------------------------ | -| **Set Tag** | Click the ![tag_icon](../../images/tag_icon.png) icon at the top left of the task list to expand the tag information. You can quickly set tags by clicking and dragging the task name to the desired tag. | +| **Set Tag** | Click the ![tag_icon](../images/tag_icon.png) icon at the top left of the task list to expand the tag information. You can quickly set tags by clicking and dragging the task name to the desired tag. | | **Set category** | Choose the target task and categorize it based on the business perspective. | | **Start**/**Stop** | After stopping the task, the next start will continue to replicate the data based on the last stopped incremental point in time. | | **Edit** | Configure the task, including node settings, synchronized tables, task start schedule, and other information. Please note that the task cannot be altered during execution. | -| **Monitor** | View the running progress, running logs, connections, history, synchronized content, and more. For more information, see [monitor data dev task](monitor-task.md). | +| **Monitor** | View the running progress, running logs, connections, history, synchronized content, and more. For more information, see [monitor data dev task](../user-guide/data-development/monitor-task.md). | | **Copy** | Clear the data synchronization progress of the task, and the next start will initiate the data synchronization task from the beginning. | | **Reset** | Clear the data synchronization progress of the task, and the next start will restart the data synchronization task. | | **Delete** | Please note that once a task is deleted, it cannot be recovered. Please proceed with caution when deleting tasks. | \ No newline at end of file diff --git a/docs/user-guide/copy-data/monitor-task.md b/docs/data-replication/monitor-task.md similarity index 84% rename from docs/user-guide/copy-data/monitor-task.md rename to docs/data-replication/monitor-task.md index dfd7a110..fba689e6 100644 --- a/docs/user-guide/copy-data/monitor-task.md +++ b/docs/data-replication/monitor-task.md @@ -1,7 +1,5 @@ # Monitor Data Replication Task -import Content from '../../reuse-content/_all-features.md'; - Once the data replication task is started, the page will automatically redirect to the task monitoring page. From there, you can monitor the task's operation details, such as the status of the Agent, data synchronization progress, task progress, alert settings, and other relevant information. @@ -11,7 +9,7 @@ By clicking the **monitor** button on the task list page, you can access the mon ::: -![](../../images/monitor_copy_task_overview.png) +![](../images/monitor_copy_task_overview.png) @@ -43,7 +41,7 @@ Displaying basic information and key monitoring indicators of the task, includin ## ③ Node Information Display Area -Hover your mouse pointer over a node to display key metrics for that node, and click the ![](../../images/node_more_icon.png) icon in the bottom right corner of the node to see more details. +Hover your mouse pointer over a node to display key metrics for that node, and click the ![](../images/node_more_icon.png) icon in the bottom right corner of the node to see more details. - **Full Sync Progress**: The progress report on the full data synchronization. - **Incremental Data Synchronization**: The incremental log collection time point is represented as the relative time of (engine time - incremental time point of the node) in the floating window when hovering the mouse. @@ -57,13 +55,13 @@ Hover your mouse pointer over a node to display key metrics for that node, and c ## ④ Task Log Display Area -Click the ![](../../images/view_log_icon.png) icon at the top of the page, then you can view the progress, logs, alert list, and associated task information for a task run. You can filter the logs using keywords, periods, and levels, or download them for local analysis on the **Log** tab. +Click the ![](../images/view_log_icon.png) icon at the top of the page, then you can view the progress, logs, alert list, and associated task information for a task run. You can filter the logs using keywords, periods, and levels, or download them for local analysis on the **Log** tab. ## ⑤ Task/Alert Setting Area -Click the ![](../../images/task_setting_icon.png) icon at the top of the page, which displays the task settings (not modifiable) and alert settings, you can set the alert rules: +Click the ![](../images/task_setting_icon.png) icon at the top of the page, which displays the task settings (not modifiable) and alert settings, you can set the alert rules: * Task running error alert * Notice of full completion of tasks diff --git a/docs/design-incremental-views/create-views/using-imv-guide.md b/docs/design-incremental-views/create-views/using-imv-guide.md index e2ceadbd..6051a879 100644 --- a/docs/design-incremental-views/create-views/using-imv-guide.md +++ b/docs/design-incremental-views/create-views/using-imv-guide.md @@ -1,8 +1,6 @@ # Build View with IMV Guide -import Content from '../../reuse-content/_all-features.md'; - Use TapData’s IMV Guide to design real-time, incremental materialized views that deliver analysis-ready data without complex SQL or heavy ETL. Ideal for BI dashboards, marketing analytics, and API integrations—all with a simple, no-code experience. diff --git a/docs/user-guide/copy-data/manage-task.md b/docs/design-incremental-views/manage-task.md similarity index 68% rename from docs/user-guide/copy-data/manage-task.md rename to docs/design-incremental-views/manage-task.md index 2289051e..125b48c5 100644 --- a/docs/user-guide/copy-data/manage-task.md +++ b/docs/design-incremental-views/manage-task.md @@ -1,20 +1,16 @@ -# Manage Data Replication Task +# Manage Data Transformation Task -import Content from '../../reuse-content/_all-features.md'; +Once the data transformation task is created, you can manage it in the task list. - - -Once the replication task is created, you can monitor and manage it in the task list. - -![](../../images/manage_copy_data_task.png) +![](../images/manage_copy_data_task.png) | Operation | Description | | ----------------- | ------------------------------------------------------------ | -| **Set Tag** | Click the ![tag_icon](../../images/tag_icon.png) icon at the top left of the task list to expand the tag information. You can quickly set tags by clicking and dragging the task name to the desired tag. | +| **Set Tag** | Click the ![tag_icon](../images/tag_icon.png) icon at the top left of the task list to expand the tag information. You can quickly set tags by clicking and dragging the task name to the desired tag. | | **Set category** | Choose the target task and categorize it based on the business perspective. | | **Start**/**Stop** | After stopping the task, the next start will continue to replicate the data based on the last stopped incremental point in time. | | **Edit** | Configure the task, including node settings, synchronized tables, task start schedule, and other information. Please note that the task cannot be altered during execution. | -| **Monitor** | View the running progress, running logs, connections, history, synchronized content, and more. For more information, see [monitor data replication task](monitor-task.md). | +| **Monitor** | View the running progress, running logs, connections, history, synchronized content, and more. For more information, see [monitor task](monitor-task.md). | | **Copy** | Clear the data synchronization progress of the task, and the next start will initiate the data synchronization task from the beginning. | | **Reset** | Clear the data synchronization progress of the task, and the next start will restart the data synchronization task. | | **Delete** | Please note that once a task is deleted, it cannot be recovered. Please proceed with caution when deleting tasks. | diff --git a/docs/design-incremental-views/monitor-view-tasks.md b/docs/design-incremental-views/monitor-view-tasks.md index 1826bf33..05769504 100644 --- a/docs/design-incremental-views/monitor-view-tasks.md +++ b/docs/design-incremental-views/monitor-view-tasks.md @@ -1,8 +1,6 @@ # Monitor Data Transformation Task -import Content from '../reuse-content/_all-features.md'; - Once the data transformation task is started, the page will automatically redirect to the task monitoring page. From there, you can monitor the task's operation details, such as the status of the Agent, data synchronization progress, task progress, alert settings, and other relevant information. diff --git a/docs/faq/agent-installation.md b/docs/faq/agent-installation.md index b1087c74..02d7028a 100644 --- a/docs/faq/agent-installation.md +++ b/docs/faq/agent-installation.md @@ -1,9 +1,5 @@ # Deploy and Manage Agent -import Content from '../reuse-content/_cloud-features.md'; - - - This article lists common problems encountered by TapData Agent in deployment and operation. ## Deploy Agent diff --git a/docs/faq/data-pipeline.md b/docs/faq/data-pipeline.md index 9370fdf3..27ac4450 100644 --- a/docs/faq/data-pipeline.md +++ b/docs/faq/data-pipeline.md @@ -1,8 +1,6 @@ # Data Pipelines -import Content from '../reuse-content/_all-features.md'; - This article lists potential issues and solutions encountered when constructing data pipelines, including data replication tasks, data transformation tasks, and data validation modules. diff --git a/docs/faq/data-security.md b/docs/faq/data-security.md index b6a92b9c..73d045d6 100644 --- a/docs/faq/data-security.md +++ b/docs/faq/data-security.md @@ -1,9 +1,5 @@ # Data Security and Network Configuration -import Content from '../reuse-content/_cloud-features.md'; - - - This article lists common problems related to data security and network configuration. ## How does data flow when using TapData Cloud? diff --git a/docs/faq/use-product.md b/docs/faq/use-product.md index 7dbd1088..21fc878f 100644 --- a/docs/faq/use-product.md +++ b/docs/faq/use-product.md @@ -1,8 +1,6 @@ # Product Features/Usage -import Content from '../reuse-content/_all-features.md'; - This article lists common questions encountered while using TapData. @@ -48,18 +46,10 @@ To avoid such issues, set the lifespan of uncommitted transactions in the source ## Does TapData support publishing tables as API services? -import Content1 from '../reuse-content/_enterprise-features.md'; - - - Yes (for single tables), you can publish processed tables [as API services](../publish-apis/create-api-service.md) to allow other applications to easily access and retrieve data. ## How to publish complex multi-table queries as API services? -import Content2 from '../reuse-content/_enterprise-features.md'; - - - For complex multi-table query scenarios, common solutions include materialized views and ad-hoc queries: * **Materialized Views**: A materialized view is a pre-calculated and stored virtual table that provides high-performance data access when queried. By pre-executing multi-table join operations and storing the results as a materialized view, you can significantly improve query performance and response times. This approach is suitable for scenarios where data change frequency is low because the materialized view needs to be updated with each data change. diff --git a/docs/getting-started/README.md b/docs/getting-started/README.md index 65cf3949..596309ad 100644 --- a/docs/getting-started/README.md +++ b/docs/getting-started/README.md @@ -1,8 +1,6 @@ # Quick Start -import Content from '../reuse-content/_all-features.md'; - Welcome to TapData! This guide will help you go from zero to delivering real-time, analysis-ready data services—without heavy ETL pipelines or complex SQL joins. diff --git a/docs/getting-started/build-real-time-materialized-view.md b/docs/getting-started/build-real-time-materialized-view.md index 1f9afa1d..7a047af4 100644 --- a/docs/getting-started/build-real-time-materialized-view.md +++ b/docs/getting-started/build-real-time-materialized-view.md @@ -1,8 +1,6 @@ # Step 3: Build Real-time Materialized View -import Content from '../reuse-content/_all-features.md'; - This article shows you how to use TapData to build **Incremental Materialized Views (IMV)**—real-time, high-performance analytics tables that combine data from multiple sources to speed up your insights and decision-making. diff --git a/docs/getting-started/connect-data-source.md b/docs/getting-started/connect-data-source.md index aeb0882f..7465dfd3 100644 --- a/docs/getting-started/connect-data-source.md +++ b/docs/getting-started/connect-data-source.md @@ -1,8 +1,6 @@ # Step 2: Connect a Data Sources -import Content from '../reuse-content/_all-features.md'; - Once you have [installed the Agent](../backup-files/install.md), you need to connect the Agent to the data sources through TapData, and you can create a data pipeline once the connection has been established. diff --git a/docs/images/drag_view_to_api.png b/docs/images/drag_view_to_api.png new file mode 100644 index 0000000000000000000000000000000000000000..a54cb40d8a62af11bb31ff950b7bf036d180e920 GIT binary patch literal 191300 zcmeEuRajihwl0?7p#up7cXxLQ5L|-0d$16!aS86;IKkcB-7UDgyEZPjv(8%k?E7}l ze!35bubMfT6je1x4f%%@!C&RXQIT+vprD{oB_%`^p`egtprBxb5Z*$bq!-FZK`zkt zisHghWn*{;kRO01>XN3ivQRXTdju#rXdI|Ff4V?E0?@esx)+0{f`a|)ISdq3pam4% z-+kmD*FRr>4g0Sv>@VoQdqc+g1@ljDB$;2Z|J=g{{rNMQiU2pr1@XIthCLJ%Ci$Na zw4@^0ITVx-l%(iqWgzr%+MCo5JGlLX5!ubn&C;U6n^e$<|3f?-J0E+otv@F-R?$4d2Pp?cN?6YJ+JtJMadM7 zW=nsv7!Lp(uJ|F99QqDv&R9kg1` zm90p}QjD&wudnk;VYrA}keunZ0548cx$RGd>5|k(1uD^H-qP9`Px3mSlC`?sGTe0D zo~}rj&`IP{Cx_L85-~`j(TVf_$B$efh>`}^yt5m1&>rx_J zCeWp__z$OsEEsTx&{3U(DP1(^PeZ>=z9V{>wRl>%zvL{RA>cu&-n%E~zSW27w;@-G zV|?fSRByStlJs5p-{-RvTi?xP?VHDDH4Ccd{;vOTbpV=Ug z$5t-%KV>v;xE2a1S+bhw-x9*K*d@Yt@YG=AibLZ2XQpLc=f04Cf3N@9J%A9AD$^LJ zmR!xAwI=4XWDFUiA_FBx@%LrPIDM8c?x}2hqW=+l{KZsl0B;KPMG14V%y^W)q)l7y zZJ``GEx8H09*>dEf0Olp%KAZ(aHp0e@uDo1nel#K6_q7y$g^ZV_|Xfb(%weqgUqbvZA^zs$|0Tr#65{_>NdKR3L}#0_>HniW@qv%+c!7mC zS*TL!8~n(i{S}9!;88!FYCPosR@Up8B5nsRn}6F>z$ci%cLV?{VlWPzsW;dD z$30luuN7bM!p4aIUB?oz!2n1)kg#a(ex>1z2mUiEkq`QBVaZmxPK$lEFR>S|S%;Rr zV3VhI)l_1{D5$?$$4~L~-)*En%-0kUEwrC~xVcj?N`#_Y&_=j5&iG})fr5Qv+MMb5P zB^u1a>3(_8H;ZBVZ)UND94dMvHxw)Ua9+(lr>b6d>kEGn>E3ucIl$BKr>&0X@4zQMP>7s^IBc zd$g9lLEO1+6clZ}rY77(@xQ@LrMOVJ3Wv?2;kytl?ze4MO~g?>O>mC-Xj7WKe(%vR z9+K@mEZVtTJ+M<%Jv5~M8=d>8ll@sRGAR5#V_G}OM?zYR(CmJ9D#)7U_2>Yen|#-e zT(@C=t+|kq2_u!s;r_`abcQ=k4QFsziqs{IfFiA&De_hP(^AC%$#+kxz!b)J_-(f#K zKcXc&9`s61ZKnT=<-Wq9Tx?aT>^{J5>8DLr80aj8;?90uUWCnE%?_`{>#wxtLTgRG zWOLFUpPE{Br`~#)#L_I0{x`%2_~@@Cw{xk2o0l7XfMA=uIJ^&8hc~hJ|HO^Iv3h^vv$YI~66|HctV_**r zoyceZeS_U|Q!2lk>gDb*R_nX@e?)LI(VG_9w;7NCpy)UU5bFBsYx@1VMH_LVQ*A^GrGov%iiEY!1;P7*`H;nGuJ|)n;pnKAwcIEgcsxL zQbo@a4}b+k&!?VY#RJGFkibm1c+H&Y%=!As84bt<+16(v)-GKsg{|FyU1 zEYQG&>0LRh!r@Z4VkX5(D^8Y0<-ak8*xvO`;bGqy- zJPz)Vd`rP=b`={kqh|Ox zoj_+d=`FvTarL;*k(PAVVM~NOK{$ee-vELPZH0(FHcDH=`*|y@f!&Br}&{Yez6RVv3?Qk^dNaIKb zr`js;2%lP^$~bk5n&PLMeYxpSs^sO)IAf#zUUXCwIOlUWC7H|RHZwLyXPv+Egko-z8@k&xs25Yt5-gI! 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zGTKc?f4G)P5pw4e$0(ELo*rDfxvEwBpu_KvOT4N8I=<|CDg`!0qoG)GfC#LkvDqmY zawtYaHC5nG5h&|+^@uy56!=|&^+)EgYphS3iAnTx)<2H?l$PFP$oEekJxSG0SF!NZi6Whwb+|dfn{n2&3kzf-TXqxbMJx{{ZDc>)E8% zJE=wXnPn1Saxw2-w|#Rjb8DDdjfg{t<)5)GCEvpcN{p2%LjDiT*;vFSQAG=(IYaYu zC_(6hH0W(IpR(d*vf$&XgM9*eJRwu4F2MpU$aqFo*r?#nZ0An{dICUV0@rK47n%eKk3=Mb0_ZsNvvFW``iiWEO8N zNvTRO$+p{$#7N>#4^a2S4{LpBwKIxAz1Y&Yy9)6QRL|qW(g&0bCi1Cc0dRmIsV5ki ze;>4fpy|icg{(_2yiP*jm(I!|2i~E!Cf`=9dk7!CpdQ?vC;9#iv=>ioqOpk8WegVZ zc%b`Jb#x^XW;FEC1q(v1iKBhQXm|dr*?~fu=s*TG9kJ?`vlD=(7BW9Qz$gdKszIx> z3K4e65VZKQBqPrlqyGWi4ZKgNv2d)x?q`u~>!|9jXtZ%6&lx@6x>t8h+CQQHb4G4e z5VIGp&XYuq>tri^mccN`*(GyU``TM5mmlxfRDizSx0>EfbJ7v4C|+Q9CtZQZO3eY# z7MraI3hsYw=wFL`m?x$BMGQ8@kjvzUhL?Qk#@p3!i)yvYY340*0&r&7G8O z`UpO1Q*zY$rnkbj-X(|yAwh2`oYAJ`ms{%d0*iM{2gXwn!J5m%p3D(%GV-9%sm@?B zNI3WC#}j$#SnN-TB7z{mo6LW+BO8 zkuB5%uibO`I!u`6FOdf5GmVw@;NJAX@D_LIaoB3V5{u||U9JA>jJxC9_uzq!Ccqk} z@EM{X=zaxQ++a7~$;BS3MylOu8$E4cOY2pv*VV7Rc- z0(?2`Shz85P!|8dIkx5C#PJVQ{O|c`Z~@zT&Ucql=MOT*rcZqDH4ANwL`#;g2ly^2 znJenm?0v_dc6!`9x!kX3;YC9xD?%$G0Z>-1IMlA2s6WK*dF=c8wS!?$^XD6@a{Wi2 z5uq*%tuv@~P;&7}#7w*pWx0A0Kh^bX0Zrq29^SpYU63_rT67O=lfP| zV1ADOB^m;7Qph5nN$oKtjBmRg_U^ptWJu_1j*fh_W|?d|eL<%11OIYl%#uA26(a>2 z)w%A(KK4*BJyV6ka+5$*%CgAaiU&tu8ls=ae+|r*B~Y{!qVCxPE$hFAr0D}1=ewSG zD*cQ6{dHTFal5z7mU1_DM-La~-*8PZ2Yc~G>iO|}i!T~tnq?M#OZ)>Z_)w`RA9c@9 zI3G+v6)O7{2@MbD4jApl^H&+|CG)SnoY*)h{EXn~+Vu&@Z2kJ6nKt3_7c}?#OQk5F zgRkp0y-vfdX9;bR84|?2RRborZgPz})o{VTD*sq#DbO|NwTxCA3f;J@=y6b6)&etg zg^|C@h__&!E^FYkDCyJB!ZDNy1sb^$G;NQ+wPvPbM{0e2FXzhb6p)O?{r)WZ>xx6s z>&f93GVcIgH2x9Zt;4em zWZf<+Cpn+$j*IrY796JAc7+xRJ*ArxjDMf%=bZl>OvOr-evF`u_vKYI{KSY}e@SaW zt~0KOzn7OF8W059;#IjzJzkgB%R~l^v4A9izc5BgX`i#&OXasOukE8oV|8)fAD - The TapData Agent is an essential component for data synchronization, data heterogeneity, and data pipeline scenarios. While it is recommended to install the TapData Agent within the local network where the database is located for real-time processing, an alternative option is available. You can also install the TapData Agent on the TapData Cloud server, eliminating the need for setting up a machine locally. This provides flexibility and convenience for managing your data flow. ```mdx-code-block diff --git a/docs/introduction/README.md b/docs/introduction/README.md index 3c93e553..33ce2d89 100644 --- a/docs/introduction/README.md +++ b/docs/introduction/README.md @@ -1,8 +1,6 @@ # Product Introduction -import Content from '../reuse-content/_all-features.md'; - import DocCardList from '@theme/DocCardList'; diff --git a/docs/introduction/architecture.md b/docs/introduction/architecture.md index 3a5769be..fc529329 100644 --- a/docs/introduction/architecture.md +++ b/docs/introduction/architecture.md @@ -1,8 +1,6 @@ # Architecture and Workflow -import Content from '../reuse-content/_all-features.md'; - As a new-generation real-time data service platform, TapData enables enterprises to easily break the limitations of data silos. It provides real-time, accurate data for analytical and transactional business workloads through real-time data collection technology, flexible data processing methods, comprehensive data governance capabilities, and convenient data publishing methods, supporting businesses in achieving more agile innovation. diff --git a/docs/introduction/benefits.md b/docs/introduction/benefits.md index aabcff48..f8d84d37 100644 --- a/docs/introduction/benefits.md +++ b/docs/introduction/benefits.md @@ -1,8 +1,6 @@ # Benefits -import Content from '../reuse-content/_all-features.md'; - ## Innovative Real-time Data Synchronization diff --git a/docs/introduction/change-data-capture-mechanism.md b/docs/introduction/change-data-capture-mechanism.md index d2f4c396..237460ac 100644 --- a/docs/introduction/change-data-capture-mechanism.md +++ b/docs/introduction/change-data-capture-mechanism.md @@ -1,7 +1,5 @@ # Change Data Capture (CDC) -import Content from '../reuse-content/_all-features.md'; - Change Data Capture (CDC) is a method for capturing and tracking data changes in a database. It plays a crucial role in data synchronization and integration, enabling incremental data synchronization. This document provides a detailed overview of the various CDC methods, helping you understand their working principles, advantages, and disadvantages, and offering specific usage instructions. diff --git a/docs/introduction/compare-editions.md b/docs/introduction/compare-editions.md index 42b8d7a7..b0fe868d 100644 --- a/docs/introduction/compare-editions.md +++ b/docs/introduction/compare-editions.md @@ -1,7 +1,5 @@ # Editions Comparison -import Content from '../reuse-content/_all-features.md'; - TapData offers three different editions of its product: TapData Cloud, TapData Enterprise, and TapData Community, catering to different user needs and scenarios. Below is a detailed introduction to their features and applicable scenarios. diff --git a/docs/introduction/features.md b/docs/introduction/features.md index b2e637dc..125fbb7f 100644 --- a/docs/introduction/features.md +++ b/docs/introduction/features.md @@ -1,8 +1,6 @@ # Features -import Content from '../reuse-content/_all-features.md'; - This article introduces the features of TapData to help you quickly understand its core capabilities. diff --git a/docs/introduction/security.md b/docs/introduction/security.md index 5c744d9b..0263003e 100644 --- a/docs/introduction/security.md +++ b/docs/introduction/security.md @@ -1,8 +1,6 @@ # Data Security -import Content from '../reuse-content/_all-features.md'; - As we embrace cloud services, the safety of our data has become a top priority. This concern not only relates to the regulatory compliance of enterprise data services, but more crucially, to the protection of vital business data. Recognizing this, TapData was designed with security at its core. From architectural design, technical implementation, and operational procedures, strict safeguards have been put in place, ensuring a safe and secure user experience. diff --git a/docs/introduction/terms.md b/docs/introduction/terms.md index 3f40c35d..d96c12dc 100644 --- a/docs/introduction/terms.md +++ b/docs/introduction/terms.md @@ -1,8 +1,6 @@ # Terminology -import Content from '../reuse-content/_all-features.md'; - This article introduces common terms used in TapData to help you quickly understand product and feature concepts. diff --git a/docs/introduction/use-cases.md b/docs/introduction/use-cases.md index a1b1ac31..0ca122e8 100644 --- a/docs/introduction/use-cases.md +++ b/docs/introduction/use-cases.md @@ -1,8 +1,6 @@ # Application Scenarios -import Content from '../reuse-content/_all-features.md'; - TapData is a next-generation real-time data platform that centralizes core enterprise data in real-time into a centralized data platform. It supports downstream interactive applications, microservices, or interactive analytics by providing real-time data through APIs or reverse synchronization. diff --git a/docs/operational-data-hub/mcp/README.md b/docs/mcp/README.md similarity index 60% rename from docs/operational-data-hub/mcp/README.md rename to docs/mcp/README.md index b009962f..9d6759bc 100644 --- a/docs/operational-data-hub/mcp/README.md +++ b/docs/mcp/README.md @@ -1,12 +1,7 @@ # Chat with Data via MCP (Preview) - -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - - :::tip -The TapData MCP Server feature is currently in Beta. If you have any questions or feature requests during usage, feel free to contact the [Tapdata Support Team](../../appendix/support.md). +The TapData MCP Server feature is currently in Beta. If you have any questions or feature requests during usage, feel free to contact the [Tapdata Support Team](../appendix/support.md). ::: import DocCardList from '@theme/DocCardList'; diff --git a/docs/operational-data-hub/mcp/introduction.md b/docs/mcp/introduction.md similarity index 64% rename from docs/operational-data-hub/mcp/introduction.md rename to docs/mcp/introduction.md index 99f092d1..8a2894e1 100644 --- a/docs/operational-data-hub/mcp/introduction.md +++ b/docs/mcp/introduction.md @@ -1,9 +1,5 @@ # MCP Server Introduction -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - - **MCP (Model Context Protocol)** is a protocol designed to provide structured business data in real time to AI models, enhancing their understanding of business context. With the **Tapdata MCP Server**, you can integrate, anonymize, and publish data from multiple heterogeneous systems as real-time contextual views that can be dynamically accessed by LLMs (Large Language Models) or AI Agents. This solution is especially suitable for enterprise scenarios with high demands for data freshness and compliance, such as financial risk control, intelligent customer service, and personalized recommendation. @@ -16,20 +12,20 @@ As digital transformation accelerates, more enterprises are leveraging AI models - Enterprise data is typically scattered across systems like CRM, core banking, ERP, etc., creating data silos. - Due to data security and compliance requirements, AI models are often prohibited from directly accessing raw databases. -![TapData MCP Server Overview](../../images/tapdata_mcp_server_introduction.png) +![TapData MCP Server Overview](../images/tapdata_mcp_server_introduction.png) To address these challenges, Tapdata provides the MCP service. It uses a standardized SSE protocol, along with real-time materialized views and data anonymization, to securely and efficiently deliver structured context to AI models. The model can access real-time business context **without** direct database connections, significantly improving inference accuracy and enabling trustworthy AI adoption in enterprises. This forms a unified AI Context Service Layer. ## Key Benefits - **Real-Time Acceleration with 100x Faster Query Performance** - Powered by TapData’s caching and [materialized view](../../tapflow/tapflow-tutorial/build-real-time-wide-table.md) capabilities, MCP enables millisecond-level query responses without direct access to source systems—dramatically improving context retrieval and model inference speed. + Powered by TapData’s caching and [materialized view](../tapflow/tapflow-tutorial/build-real-time-wide-table.md) capabilities, MCP enables millisecond-level query responses without direct access to source systems—dramatically improving context retrieval and model inference speed. - **Secure Access with Trusted, Controlled Context** - Supports field-level [masking](../advanced/custom-node.md) and [role-based](../../system-admin/manage-role.md) permissions. Combined with real-time sync and incremental updates, it ensures AI models access only fresh, authorized data during inference. + Supports field-level [masking](../operational-data-hub/advanced/custom-node.md) and [role-based](../system-admin/manage-role.md) permissions. Combined with real-time sync and incremental updates, it ensures AI models access only fresh, authorized data during inference. - **Connect 100+ Data Sources with a Single MCP** - One MCP instance can connect to [over 100 heterogeneous data sources](../../connectors/supported-data-sources.md), including major databases and SaaS platforms—breaking data silos and providing a unified foundation for context-aware AI. + One MCP instance can connect to [over 100 heterogeneous data sources](../connectors/supported-data-sources.md), including major databases and SaaS platforms—breaking data silos and providing a unified foundation for context-aware AI. - **Built for LLM Agents with Seamless Integration** - Offers standardized SSE support and no-code [REST API](../../publish-apis/README.md) setup, fully compatible with tools like Cursor, Claude, and other popular agent frameworks—bridging enterprise data and AI with ease. + Offers standardized SSE support and no-code [REST API](../publish-apis/README.md) setup, fully compatible with tools like Cursor, Claude, and other popular agent frameworks—bridging enterprise data and AI with ease. ## Learn More diff --git a/docs/operational-data-hub/mcp/quick-start.md b/docs/mcp/quick-start.md similarity index 91% rename from docs/operational-data-hub/mcp/quick-start.md rename to docs/mcp/quick-start.md index 3f49a584..c6ac8fe7 100644 --- a/docs/operational-data-hub/mcp/quick-start.md +++ b/docs/mcp/quick-start.md @@ -1,39 +1,35 @@ # Quick Start -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - - This guide walks you through enabling the [MCP (Model Context Protocol) service](introduction.md) in Tapdata and integrating it with AI agent tools that support the SSE protocol (e.g., Cursor). It enables real-time delivery of structured contextual data, helping large language models better understand business context. ## Prerequisites -- Requires Tapdata Enterprise or Community Edition to be [deployed](../../backup-files/install.md). +- Requires Tapdata Enterprise or Community Edition to be [deployed](../backup-files/install.md). - You have an AI model service or tool that supports MCP with SSE protocol (e.g., Cursor or Trae). ## Step 1: Set Up User and Get Access Code To ensure platform security, you need to create and authorize a user account with permission to access data via the MCP protocol. -1. [Log in to the Tapdata Platform](../../user-guide/log-in.md). +1. [Log in to the Tapdata Platform](../user-guide/log-in.md). -2. Go to **System Settings** > **Role Management** and create a role named `mcp` (case-insensitive). See [Manage Roles](../../system-admin/manage-role.md). +2. Go to **System Settings** > **Role Management** and create a role named `mcp` (case-insensitive). See [Manage Roles](../system-admin/manage-role.md). -3. Navigate to **System Settings** > **User Management**, and assign the `mcp` role to a user account. See [Manage Users](../../system-admin/manage-user.md). +3. Navigate to **System Settings** > **User Management**, and assign the `mcp` role to a user account. See [Manage Users](../system-admin/manage-user.md). 4. Log in to Tapdata using the authorized account, click your username in the top-right corner, and select **Account**. Copy the **Access Code**; you’ll need it in the next steps. - ![Obtain Access Code](../../images/obtain_enterprise_ak.png) + ![Obtain Access Code](../images/obtain_enterprise_ak.png) ## Step 2: Configure MCP Server in Agent Tool Next, we’ll use **Cursor** as an example to show how to configure and connect to the Tapdata MCP Server: -1. Open and log in to the Cursor app. Click the top-right ![Settings](../../images/setting.png) icon. +1. Open and log in to the Cursor app. Click the top-right ![Settings](../images/setting.png) icon. 2. Click **MCP** on the left menu, then click **Add new global MCP Server**. - ![Add MCP Server](../../images/add_mcp_server.png) + ![Add MCP Server](../images/add_mcp_server.png) 3. In the `mcp.json` config file that opens, add the Tapdata MCP service config using the structure below: @@ -67,7 +63,7 @@ Next, we’ll use **Cursor** as an example to show how to configure and connect 4. Save and close the configuration file. Return to the MCP settings section. When the status light on the left turns green, the connection to Tapdata MCP Server is successful. - ![MCP Connection Ready](../../images/mcp_connection_ready.png) + ![MCP Connection Ready](../images/mcp_connection_ready.png) 5. When you interact with the AI model in Cursor, it will automatically fetch context data from Tapdata MCP Server. You can also guide the model via prompts to help it access data efficiently. diff --git a/docs/operational-data-hub/adm-layer/integrate-apis.md b/docs/operational-data-hub/adm-layer/integrate-apis.md index e9ee9486..d542ae7c 100644 --- a/docs/operational-data-hub/adm-layer/integrate-apis.md +++ b/docs/operational-data-hub/adm-layer/integrate-apis.md @@ -1 +1,48 @@ -# Integrate with APIs \ No newline at end of file +# Integrate with APIs + +TapData makes it easy to turn your core data models into secure, reusable API services. Whether from the Foundation Data Model (FDM) or Master Data Model (MDM), your curated tables can be exposed as low-latency APIs—ideal for powering apps, microservices, and real-time integrations without point-to-point complexity. + +## Why Publish APIs + +Modern data teams often struggle with fragmented systems, slow batch interfaces, and duplicated integration logic. Publishing APIs directly from trusted data models addresses these challenges by: + +- Delivering always-fresh data from a single source of truth +- Enabling secure, scalable access with role-based controls +- Simplifying integration with apps, partners, and internal tools +- Reducing the need to replicate business logic in every service +- Accelerating innovation with reusable, governed data services + +## Porcedure + +There’s no need to build an API manually. Instead, simply link a curated table to an API application with a quick drag-and-drop: + +1. Log in to TapData Platform. + +2. In the left sidebar, select **Real-time Data Center**. + +3. In the **Foundation** or **Master Data Model**, locate the table you want to expose. + +4. Drag the table into the **API** application under **Targets & Services** on the right-hand side. + + ![Drag view to API](../../images/drag_view_to_api.png) + +5. A configuration dialog will appear, allowing you to customize: + + - Which fields are exposed in the API + - Role-based access and security scope + - API endpoint naming and versioning + +::: + +For detailed instructions on configuring API fields, access policies, and security settings, see [Create Data API](../../publish-apis/create-api-service.md). + +::: + +## Next Steps + +At this stage, the API application is linked to your table—but it is not yet published or accessible. To activate it, you’ll need to define access credentials and endpoints: + +- [Create a Client](../../publish-apis/create-api-client.md): Define who can access the API and how. Set up authentication via access tokens or basic auth, and assign the appropriate roles. +- [Create a Server](../../publish-apis/create-api-server.md): Define the public-facing endpoint that client applications will call. You can customize the path, method, and exposure scope. + +Once published, your API delivers secure, real-time access to curated business data—ideal for dashboards, embedded analytics, mobile apps, or enterprise integrations. diff --git a/docs/operational-data-hub/adm-layer/sync-downstream.md b/docs/operational-data-hub/adm-layer/sync-downstream.md index 63e5e500..182019b3 100644 --- a/docs/operational-data-hub/adm-layer/sync-downstream.md +++ b/docs/operational-data-hub/adm-layer/sync-downstream.md @@ -1 +1,49 @@ -# Sync Data to Downstream Targets \ No newline at end of file +# Sync Data to Downstream Targets + +TapData empowers you to distribute real-time, processed data to a wide range of downstream systems—without building fragile, point-to-point pipelines. Whether you’re connecting cloud warehouses, on-prem databases or messaging systems, TapData provides a unified and scalable way to deliver fresh, trusted data where it’s needed most. + +## Why Sync to Downstream Targets + +Organizations today rarely operate on a single data system. You might be running operational dashboards from PostgreSQL, triggering real-time alerts through Kafka, and analyzing large datasets in ClickHouse or a cloud warehouse (e.g. snowflake). Without a centralized distribution layer, this often results in complex ETL chains, data silos, and inconsistent views across teams. + +TapData acts as a real-time data hub, allowing you to: + +- Streamline cross-system delivery from one trusted source +- Power real-time analytics and automation with sub-second freshness +- Distribute curated data views across databases, queues, and APIs +- Trigger downstream workflows (e.g. Kafka, webhooks) on every change +- Connect to anything with open, pluggable integration + +For example, a retail company might consolidate customer and order data into a [unified view via MDM](../mdm-layer/build-view-in-odh.md), and then: + +- **Push it to ClickHouse** to accelerate analytical queries on billions of rows +- **Stream it to Kafka** to power real-time recommendation engines +- **Sync it to PostgreSQL** for operational BI dashboards used by sales and operations teams + +TapData ensures all downstream systems stay continuously in sync through [Change Data Capture](../../introduction/change-data-capture-mechanism.md) (CDC) and intelligent transformation, so you can build once and deliver everywhere. + +## Porcedure + +From either the **Foundation Data Model (FDM)** or the **Master Data Model (MDM)**, you can deliver curated data to any downstream system using a simple drag-and-drop interface: + +1. Log in to the TapData platform. + +2. In the left sidebar, go to **Real-Time Data Center**. + +3. Locate the table you want to sync in your data model panel. + +4. Drag it into your desired **target** under **Targets & Services** on the right. + + Any destination previously configured as a **Target**—whether a relational database, document store, message queue, or cloud platform—will appear here. + + ![Drag View to Downstream](../../images/drag_view_to_downstream.png) + +5. In the pop-up dialog, choose your sync strategy (e.g., **Full + Incremental** or **Full Only**), then click **Save and Run** to start the pipeline.\ + + Once configured, TapData handles everything automatically—schema tracking, change detection, and real-time sync—so your data stays fresh and consistent across all systems. + +:::tip + +TapData supports dozens of downstream systems across databases, message queues, warehouses, and SaaS platforms. [See full list ›](../../connectors/supported-data-sources.md) + +::: \ No newline at end of file diff --git a/docs/operational-data-hub/advanced/custom-node.md b/docs/operational-data-hub/advanced/custom-node.md index 1ce05a52..b8af25da 100644 --- a/docs/operational-data-hub/advanced/custom-node.md +++ b/docs/operational-data-hub/advanced/custom-node.md @@ -1,9 +1,5 @@ # User Defined Processors -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - - By customizing the node function, you have the flexibility to organize your JavaScript script into reusable processing nodes. Once created, these custom nodes can be easily referenced in your data transformation tasks without the need for rewriting the script. This significantly reduces the development workload. In this article, we will guide you on how to use custom nodes effectively and provide use cases as examples for your reference. diff --git a/docs/operational-data-hub/advanced/manage-external-storage.md b/docs/operational-data-hub/advanced/manage-external-storage.md index dedf8450..cdd4441c 100644 --- a/docs/operational-data-hub/advanced/manage-external-storage.md +++ b/docs/operational-data-hub/advanced/manage-external-storage.md @@ -1,9 +1,5 @@ # Manage External Storage -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - - To facilitate the quick reading of task-related information subsequently, TapData stores necessary configurations, incremental logs of source tables, and other information related to the task in its internal MongoDB database. To store more data, you can create an external database to store relevant data. ## Prerequisites diff --git a/docs/operational-data-hub/advanced/manage-function.md b/docs/operational-data-hub/advanced/manage-function.md index 03485d31..d2cfe242 100644 --- a/docs/operational-data-hub/advanced/manage-function.md +++ b/docs/operational-data-hub/advanced/manage-function.md @@ -1,7 +1,4 @@ # Manage Functions -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - TapData supports a wide range of functions to facilitate the definition of processing steps, allowing for their use in [JavaScript (JS) nodes](../../user-guide/data-development/process-node.md#js-process). Additionally, you can freely define custom functions or import third-party JAR packages to introduce new functions as needed. diff --git a/docs/operational-data-hub/advanced/share-cache.md b/docs/operational-data-hub/advanced/share-cache.md index 99123e1f..0d68a2cb 100644 --- a/docs/operational-data-hub/advanced/share-cache.md +++ b/docs/operational-data-hub/advanced/share-cache.md @@ -1,9 +1,5 @@ # Create Live Cache -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - - Live Cache is primarily designed to alleviate the pressure on the source database by multiple tasks processing some hot data. By placing these data in the cache, it can be used by multiple tasks. ## Create Live Cache diff --git a/docs/operational-data-hub/advanced/share-mining.md b/docs/operational-data-hub/advanced/share-mining.md index c93b60cc..d9870cdc 100644 --- a/docs/operational-data-hub/advanced/share-mining.md +++ b/docs/operational-data-hub/advanced/share-mining.md @@ -1,8 +1,5 @@ # Manage CDC Log Cache -import Content from '../../reuse-content/_enterprise-features.md'; - - To alleviate the pressure on the source database during increments, TapData supports shared mining of **change data capture** (CDC) logs. Once the CDC Log Cache is activated, it will not start mining immediately. Instead, it begins when you create a task for the table belonging to that data source. Regardless of whether the mining task is paused or encounters errors, it will not affect the normal operation of the synchronization task. diff --git a/docs/operational-data-hub/fdm-layer/replicate-data.md b/docs/operational-data-hub/fdm-layer/replicate-data.md index 3c324fde..21dad29a 100644 --- a/docs/operational-data-hub/fdm-layer/replicate-data.md +++ b/docs/operational-data-hub/fdm-layer/replicate-data.md @@ -18,6 +18,7 @@ Before you start, make sure you’re set up for a smooth experience: - [ODH mode is enabled](../set-up-odh.md) on your Tapdata workspace. - Your source database connections are configured and tested, for details, see [Connect Data Sources](../../connectors/README.md). +- Your source tables must have a primary key or unique index. ## Procedure diff --git a/docs/operational-data-hub/fdm-layer/validate-views.md b/docs/operational-data-hub/fdm-layer/validate-views.md index af9c4462..739a4360 100644 --- a/docs/operational-data-hub/fdm-layer/validate-views.md +++ b/docs/operational-data-hub/fdm-layer/validate-views.md @@ -1,8 +1,6 @@ # Validate View Results -import Content from '../../reuse-content/_all-features.md'; - Leveraging various proprietary technologies, TapData ensures maximum data consistency. In addition, TapData supports data table validation to further verify and ensure the correctness of data flow, meeting the stringent requirements of production environments. This document introduces the configuration process for data validation tasks. @@ -88,4 +86,4 @@ For troubleshooting methods regarding failed validation tasks or inconsistent va ## See also -[Incremental Data Validation](../../user-guide/incremental-check.md) \ No newline at end of file +[Incremental Data Validation](../../data-replication/incremental-check.md) \ No newline at end of file diff --git a/docs/operational-data-hub/set-up-odh.md b/docs/operational-data-hub/set-up-odh.md index f3d89765..2edda6c8 100644 --- a/docs/operational-data-hub/set-up-odh.md +++ b/docs/operational-data-hub/set-up-odh.md @@ -4,19 +4,23 @@ Now that you've [planned your data platform](plan-data-platform.md) strategy, it ## Preparation -Before you enable ODH in Tapdata, you’ll need a **MongoDB database (version 4.0 or higher)** to act as the storage engine for Tapdata’s core layers: +To enable the Operational Data Hub (ODH) in Tapdata, you’ll first need to connect a MongoDB database (version 4.0 or above) as the core storage engine. -- **Platform Cache (FDM Layer):** Real-time replica of your source systems. -- **Processing Layer (MDM Layer):** Stores cleaned, business-ready models. +This MongoDB instance will serve two critical roles: -For connection instructions, see [Connect On-Premises MongoDB](../connectors/on-prem-databases/mongodb.md). +- **Platform Cache (FDM Layer):** Stores real-time mirrored data from source systems. +- **Processing Layer (MDM Layer):** Hosts cleaned, structured business data for analytics and API access. + +:::tip + +When creating the MongoDB connection, be sure to set the **connection role as both Source and Target**, so it can support full read/write capabilities across Tapdata’s layers. For step-by-step setup, refer to [Connect On-Premises MongoDB](../connectors/on-prem-databases/mongodb.md).

    Recommended best practices - At the top of the page, click on click here to privede the connection information, and fill in the MongoDB Atlas connection URL. - - Choose either a **single database** for both layers or **dedicated databases** for better isolation and scaling. -- Deploy MongoDB as a **replica set** or **sharded cluster** to ensure high availability. -- Plan sufficient storage capacity and ensure an Oplog window of at least 14 days for reliable CDC. + +- You can use one shared database for both FDM and MDM layers, or create dedicated databases for better isolation and scalability. +- Deploy MongoDB as a [replica set](../platform-ops/production-deploy/install-replica-mongodb.md) to ensure high availability and fault tolerance. +- Ensure the MongoDB instance has enough disk space and a 14-day Oplog retention to support stable real-time synchronization and CDC.
    diff --git a/docs/platform-ops/README.md b/docs/platform-ops/README.md index 7441593b..7c6fea55 100644 --- a/docs/platform-ops/README.md +++ b/docs/platform-ops/README.md @@ -1,8 +1,6 @@ # Platform Operations -import Content from '../reuse-content/_all-features.md'; - import DocCardList from '@theme/DocCardList'; diff --git a/docs/platform-ops/emergency-plan.md b/docs/platform-ops/emergency-plan.md index 35cbbe7e..6cdad01f 100644 --- a/docs/platform-ops/emergency-plan.md +++ b/docs/platform-ops/emergency-plan.md @@ -1,9 +1,5 @@ # Emergency Plans -import Content from '../reuse-content/_enterprise-features.md'; - - - This document provides a comprehensive emergency handling process and contingency strategies for TapData products, aiming to help you respond quickly and effectively in the event of an emergency or product issue, thereby mitigating the impact of failures and enhancing the overall stability and security of the product. :::tip diff --git a/docs/platform-ops/operation.md b/docs/platform-ops/operation.md index 30dc19cd..9f72d23a 100644 --- a/docs/platform-ops/operation.md +++ b/docs/platform-ops/operation.md @@ -1,9 +1,5 @@ # Maintenance -import Content from '../reuse-content/_enterprise-features.md'; - - - This article lists common issues related to TapData maintenance. ## How to Start or Stop Services? @@ -369,7 +365,7 @@ Common high-risk operations include: * [Connection Management](../connectors/README.md) * **Deleting data source connections**: To avoid accidental deletion, when performing a deletion operation, a prompt will appear if the connection is referenced by a task. * **Editing data source connections**: If the parameters of the data source are set incorrectly, it may cause the connection to fail. Tasks referencing this data source will use the previous parameters and will not be affected, but new tasks or tasks reset afterwards may trigger errors. -* [Data Replication](../user-guide/copy-data/create-task.md)/[Data Transformation](../user-guide/data-development/create-task.md) Tasks +* [Data Replication](../data-replication/create-task.md)/[Data Transformation](../user-guide/data-development/create-task.md) Tasks * **Resetting tasks**: This operation will reset the task to its initial state, clearing historical monitoring data. Subsequent task starts will require re-executing full data synchronization. * **Data duplication processing strategy**: In the target node settings, setting different data duplication strategies will affect the structure and data of the target table. For example, selecting **Clear existing target table structure and data** will clear the target table's structure and all data upon task start, synchronizing new table structures and data from the source. * **Setting data write strategy**: In the advanced settings of the target node, if append write is selected, TapData will only process insert events, discarding update and delete events. Choose carefully based on business needs to avoid the risk of data inconsistency. diff --git a/docs/platform-ops/production-deploy/README.md b/docs/platform-ops/production-deploy/README.md index 1babcb9e..85564730 100644 --- a/docs/platform-ops/production-deploy/README.md +++ b/docs/platform-ops/production-deploy/README.md @@ -1,9 +1,5 @@ # Production Deployment & Maintenance -import Content from '../../reuse-content/_enterprise-features.md'; - - - import DocCardList from '@theme/DocCardList'; \ No newline at end of file diff --git a/docs/platform-ops/production-deploy/install-replica-mongodb.md b/docs/platform-ops/production-deploy/install-replica-mongodb.md index 4d339615..9d9a7510 100644 --- a/docs/platform-ops/production-deploy/install-replica-mongodb.md +++ b/docs/platform-ops/production-deploy/install-replica-mongodb.md @@ -1,9 +1,5 @@ # Deploy MongoDB Replica Set -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - - To ensure high availability in production environments, deploying a MongoDB replica set is required before deploying TapData, as it stores essential configurations, shared cache, and other information in MongoDB databases. This document outlines the deployment process. ## Deployment Architecture diff --git a/docs/platform-ops/production-deploy/install-tapdata-ha-with-3-node.md b/docs/platform-ops/production-deploy/install-tapdata-ha-with-3-node.md index 6b58221e..32b27e3b 100644 --- a/docs/platform-ops/production-deploy/install-tapdata-ha-with-3-node.md +++ b/docs/platform-ops/production-deploy/install-tapdata-ha-with-3-node.md @@ -1,8 +1,5 @@ # Deploy HA TapData Enterprise (3 Nodes) -import Content from '../../reuse-content/_enterprise-features.md'; - - To ensure the reliability of business operations in a production environment, a high availability (HA) deployment is recommended. This guide explains how to deploy TapData services using three servers to achieve high availability. diff --git a/docs/platform-ops/production-deploy/install-tapdata-ha.md b/docs/platform-ops/production-deploy/install-tapdata-ha.md index 8c4b02b8..69dfe7aa 100644 --- a/docs/platform-ops/production-deploy/install-tapdata-ha.md +++ b/docs/platform-ops/production-deploy/install-tapdata-ha.md @@ -1,9 +1,5 @@ # Deploy HA TapData Enterprise (2 Nodes) -import Content from '../../reuse-content/_enterprise-features.md'; - - - To ensure reliability in production environments, we recommend deploying TapData in a high-availability setup. This guide will show you how to quickly deploy a high-availability TapData service on a local Linux platform. ## Software & Hardware Requirements diff --git a/docs/platform-ops/troubleshooting/README.md b/docs/platform-ops/troubleshooting/README.md index 302a4d1f..6439597b 100644 --- a/docs/platform-ops/troubleshooting/README.md +++ b/docs/platform-ops/troubleshooting/README.md @@ -1,8 +1,6 @@ # Troubleshooting -import Content from '../../reuse-content/_all-features.md'; - This section offers guidance and reference materials for troubleshooting issues with TapData. diff --git a/docs/platform-ops/troubleshooting/error-and-solutions.md b/docs/platform-ops/troubleshooting/error-and-solutions.md index 8bce2f45..42edd717 100644 --- a/docs/platform-ops/troubleshooting/error-and-solutions.md +++ b/docs/platform-ops/troubleshooting/error-and-solutions.md @@ -1,14 +1,12 @@ # Task Log Error and Troubleshooting Guide -import Content from '../../reuse-content/_all-features.md'; - This document aims to provide you with a detailed guide for identifying and resolving common errors found in the logs of data synchronization tasks. We delve into the causes of various common errors and offer clear, practical troubleshooting steps to help users quickly locate and solve issues. ## Viewing Task Logs -Task runtime logs can be viewed at the bottom of the [task monitoring page](../../user-guide/copy-data/monitor-task.md#error-code). For common issues, TapData has solidified them into specific [error codes](error-code.md) for your convenience, along with their causes and solutions. If the relevant error code is not found, you can also troubleshoot based on the log keywords provided in this document or contact technical support. +Task runtime logs can be viewed at the bottom of the [task monitoring page](../../data-replication/monitor-task.md#error-code). For common issues, TapData has solidified them into specific [error codes](error-code.md) for your convenience, along with their causes and solutions. If the relevant error code is not found, you can also troubleshoot based on the log keywords provided in this document or contact technical support. ## Oracle diff --git a/docs/platform-ops/troubleshooting/error-code.md b/docs/platform-ops/troubleshooting/error-code.md index 9086e02c..b7128eaa 100644 --- a/docs/platform-ops/troubleshooting/error-code.md +++ b/docs/platform-ops/troubleshooting/error-code.md @@ -1,8 +1,6 @@ # Task Error Codes and Solutions -import Content from '../../reuse-content/_all-features.md'; - If you encounter an issue with a task, you can view related log information at the bottom of the task's [monitoring page](../../user-guide/data-development/monitor-task.md). For common issues, TapData has defined specific error codes for easier identification, along with their causes and solutions. diff --git a/docs/publish-apis/README.md b/docs/publish-apis/README.md index 8f8aaea8..bdc632df 100644 --- a/docs/publish-apis/README.md +++ b/docs/publish-apis/README.md @@ -1,7 +1,5 @@ # Publish Data API -import Content from '../reuse-content/_enterprise-features.md'; - TapData supports publishing table data as APIs, aiding enterprises in building a unified data services platform. Various applications can use these APIs to provide support for services such as push notifications. The recommended sequence of use is as follows: diff --git a/docs/publish-apis/api-auth.md b/docs/publish-apis/api-auth.md index 87920c17..24fbc825 100644 --- a/docs/publish-apis/api-auth.md +++ b/docs/publish-apis/api-auth.md @@ -1,7 +1,5 @@ # API Authentication -import Content from '../reuse-content/_enterprise-features.md'; - TapData's API authentication service is based on the OAuth 2.0 mechanism, with default support for `client credentials` and `implicit` authorization methods. You can select the authorization method when [creating a client](create-api-client.md). This article introduces the API authentication process, including how to obtain access tokens, to help you quickly utilize the API service. diff --git a/docs/publish-apis/api-query-params.md b/docs/publish-apis/api-query-params.md index 886b3048..62f705cb 100644 --- a/docs/publish-apis/api-query-params.md +++ b/docs/publish-apis/api-query-params.md @@ -1,7 +1,5 @@ # API Query Parameters -import Content from '../reuse-content/_enterprise-features.md'; - When invoking published API interfaces, it's possible to add query conditions in the URL query string to quickly filter the query results. This article introduces supported filters and provides related usage examples. diff --git a/docs/publish-apis/audit-api.md b/docs/publish-apis/audit-api.md index eece3a2a..1bea90cd 100644 --- a/docs/publish-apis/audit-api.md +++ b/docs/publish-apis/audit-api.md @@ -1,7 +1,5 @@ # Service Auditing -import Content from '../reuse-content/_enterprise-features.md'; - Service auditing is primarily used to view the access records of APIs. You can view the records of each request, including access type, personnel, IP address, access time, access result, failure reason, etc. You can also filter according to different conditions. diff --git a/docs/publish-apis/create-api-client.md b/docs/publish-apis/create-api-client.md index 7c43e052..4adfd2b0 100644 --- a/docs/publish-apis/create-api-client.md +++ b/docs/publish-apis/create-api-client.md @@ -1,7 +1,5 @@ # Create a Client -import Content from '../reuse-content/_enterprise-features.md'; - To manage and create API calls, an API client is required. Applications that developers design and develop, or any other applications needing to call API interfaces (referred to collectively as client applications), must register with the data publishing system. Upon registration, you will receive a unique client ID (client_id) and client secret (client_secret). diff --git a/docs/publish-apis/create-api-server.md b/docs/publish-apis/create-api-server.md index e707b5db..53a75a42 100644 --- a/docs/publish-apis/create-api-server.md +++ b/docs/publish-apis/create-api-server.md @@ -1,7 +1,5 @@ # Create a Server -import Content from '../reuse-content/_enterprise-features.md'; - API servers can be configured to expose API server addresses externally, and multiple servers can also be added. diff --git a/docs/publish-apis/create-api-service.md b/docs/publish-apis/create-api-service.md index d18ffabc..142fea5e 100644 --- a/docs/publish-apis/create-api-service.md +++ b/docs/publish-apis/create-api-service.md @@ -1,7 +1,5 @@ # Create Data API -import Content from '../reuse-content/_enterprise-features.md'; - To help developers easily dock interfaces and conveniently view API information published through TapData, we offer a data services feature. diff --git a/docs/publish-apis/manage-app.md b/docs/publish-apis/manage-app.md index 52a0c7bc..2b22abf9 100644 --- a/docs/publish-apis/manage-app.md +++ b/docs/publish-apis/manage-app.md @@ -1,7 +1,5 @@ # Manage Application -import Content from '../reuse-content/_enterprise-features.md'; - To better manage and distinguish API services, we can categorize them based on business needs, assigning different APIs into different applications. This article introduces the specific operation process. diff --git a/docs/publish-apis/monitor-api-request.md b/docs/publish-apis/monitor-api-request.md index 2597fee3..0769a222 100644 --- a/docs/publish-apis/monitor-api-request.md +++ b/docs/publish-apis/monitor-api-request.md @@ -1,7 +1,5 @@ # API Status Monitor -import Content from '../reuse-content/_enterprise-features.md'; - Service Monitoring allows for the oversight and management of API requests on the platform, providing a view into global statistics and the status of each API. diff --git a/docs/publish-apis/query-via-graphql.md b/docs/publish-apis/query-via-graphql.md index 036fdd9d..06192736 100644 --- a/docs/publish-apis/query-via-graphql.md +++ b/docs/publish-apis/query-via-graphql.md @@ -1,7 +1,5 @@ # Query API via GraphQL -import Content from '../reuse-content/_enterprise-features.md'; - GraphQL provides a query language that allows you to request data from the server in a declarative way, such as specific data in a schema. TapData has integrated GraphQL, allowing you to execute requests through the API service address. diff --git a/docs/publish-apis/query-via-restful.md b/docs/publish-apis/query-via-restful.md index 55e3d513..b8c5af53 100644 --- a/docs/publish-apis/query-via-restful.md +++ b/docs/publish-apis/query-via-restful.md @@ -1,7 +1,5 @@ # Query API through RESTful -import Content from '../reuse-content/_enterprise-features.md'; - RESTful API is an application programming interface (API or Web API) that adheres to REST architectural specifications. TapData supports integrated RESTful API services, allowing you to execute requests through the API service address and obtain managed data information. diff --git a/docs/release-notes/release-notes-on-prem.md b/docs/release-notes-on-prem.md similarity index 65% rename from docs/release-notes/release-notes-on-prem.md rename to docs/release-notes-on-prem.md index 17a6144d..846705ce 100644 --- a/docs/release-notes/release-notes-on-prem.md +++ b/docs/release-notes-on-prem.md @@ -1,8 +1,6 @@ # TapData Enterprise Release Notes -import Content from '../reuse-content/_enterprise-features.md'; - This article provides release notes for TapData Enterprise, including new features, improvements, and bug fixes. @@ -22,9 +20,9 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added status monitoring for incremental log mining plugins in the [Cluster Management](../system-admin/manage-cluster.md) module to improve observability and troubleshooting efficiency. -- Support for [customizing alert email content](../system-admin/other-settings/notification.md#mail-alert), enhancing readability and flexibility of notifications. -- Support for importing/exporting [data verification task configurations](../design-incremental-views/validate-views.md), making it easier to migrate or reuse configurations between test and production environments. +- Added status monitoring for incremental log mining plugins in the [Cluster Management](system-admin/manage-cluster.md) module to improve observability and troubleshooting efficiency. +- Support for [customizing alert email content](system-admin/other-settings/notification.md#mail-alert), enhancing readability and flexibility of notifications. +- Support for importing/exporting [data verification task configurations](design-incremental-views/validate-views.md), making it easier to migrate or reuse configurations between test and production environments. ### Enhancements @@ -38,7 +36,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added support for [Incremental Data Validation](../user-guide/incremental-check.md) within tasks. This feature continuously verifies target-side data consistency during synchronization, improving validation efficiency and enhancing overall data reliability. +- Added support for [Incremental Data Validation](data-replication/incremental-check.md) within tasks. This feature continuously verifies target-side data consistency during synchronization, improving validation efficiency and enhancing overall data reliability. ### Enhancements @@ -52,9 +50,9 @@ import TabItem from '@theme/TabItem'; ### New Features -* Introduced [Tapdata MCP (Model Context Protocol)](../operational-data-hub/mcp/introduction.md), enabling integration of multi-source data into real-time contextual views consumable by LLMs and AI Agents. This feature is ideal for scenarios with high demands on data freshness and compliance, such as financial risk control. +* Introduced [Tapdata MCP (Model Context Protocol)](mcp/introduction.md), enabling integration of multi-source data into real-time contextual views consumable by LLMs and AI Agents. This feature is ideal for scenarios with high demands on data freshness and compliance, such as financial risk control. * Added support for using **StarRocks** as a target database, allowing faster construction of real-time data warehouses for high-concurrency, multi-dimensional analytics use cases. -* Added the ability to choose from multiple data structures(e.g. Flink) when syncing to **[Kafka-Enhanced](../connectors/mq-and-middleware/kafka-enhanced.md)**, enhancing compatibility and integration efficiency with downstream systems. +* Added the ability to choose from multiple data structures(e.g. Flink) when syncing to **[Kafka-Enhanced](connectors/mq-and-middleware/kafka-enhanced.md)**, enhancing compatibility and integration efficiency with downstream systems. ### Enhancements @@ -75,8 +73,8 @@ import TabItem from '@theme/TabItem'; ### New Features -- The [Cluster Overview](../user-guide/workshop.md) page on the homepage now displays task distribution by node, helping you better understand cluster workload. -- [OceanBase (MySQL Mode)](../connectors/on-prem-databases/oceanbase.md), [OceanBase (Oracle Mode)](../connectors/on-prem-databases/oceanbase-oracle.md), and [GaussDB (DWS)](../connectors/warehouses-and-lake/gaussdb.md) have passed Tapdata certification and are now classified as [Certified Data Sources](../connectors/supported-data-sources.md), offering enhanced features and improved production-level stability. +- The [Cluster Overview](user-guide/workshop.md) page on the homepage now displays task distribution by node, helping you better understand cluster workload. +- [OceanBase (MySQL Mode)](connectors/on-prem-databases/oceanbase.md), [OceanBase (Oracle Mode)](connectors/on-prem-databases/oceanbase-oracle.md), and [GaussDB (DWS)](connectors/warehouses-and-lake/gaussdb.md) have passed Tapdata certification and are now classified as [Certified Data Sources](connectors/supported-data-sources.md), offering enhanced features and improved production-level stability. - Data replication tasks now support writing multiple tables to the same Kafka topic, expanding compatibility with more write scenarios. ### Enhancements @@ -91,8 +89,8 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added support for syncing tables with auto-increment primary keys in [SQL Server](../connectors/on-prem-databases/sqlserver.md). -- Added support for syncing default values and foreign keys in [PostgreSQL](../connectors/on-prem-databases/postgresql.md) to SQL Server sync scenarios. +- Added support for syncing tables with auto-increment primary keys in [SQL Server](connectors/on-prem-databases/sqlserver.md). +- Added support for syncing default values and foreign keys in [PostgreSQL](connectors/on-prem-databases/postgresql.md) to SQL Server sync scenarios. ### Enhancements @@ -102,9 +100,9 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added support for synchronizing **column default values**, **auto-increment columns**, and **foreign key constraints** in [MySQL](../connectors/on-prem-databases/mysql.md)-to-MySQL, [PostgreSQL](../connectors/on-prem-databases/postgresql.md)-to-PostgreSQL, and [SQL Server](../connectors/on-prem-databases/sqlserver.md)-to-PostgreSQL scenarios, ensuring data structure consistency. -- Enabled foreign key constraint synchronization in [Sybase](../connectors/on-prem-databases/sybase.md)-to-PostgreSQL tasks, further enhancing data consistency. -- Enhanced the **[primary-secondary merge node](../user-guide/data-development/process-node.md#pri-sec-merged)** functionality to allow subsequent connections with other processing nodes (including JS nodes), improving workflow flexibility. +- Added support for synchronizing **column default values**, **auto-increment columns**, and **foreign key constraints** in [MySQL](connectors/on-prem-databases/mysql.md)-to-MySQL, [PostgreSQL](connectors/on-prem-databases/postgresql.md)-to-PostgreSQL, and [SQL Server](connectors/on-prem-databases/sqlserver.md)-to-PostgreSQL scenarios, ensuring data structure consistency. +- Enabled foreign key constraint synchronization in [Sybase](connectors/on-prem-databases/sybase.md)-to-PostgreSQL tasks, further enhancing data consistency. +- Enhanced the **[primary-secondary merge node](user-guide/data-development/process-node.md#pri-sec-merged)** functionality to allow subsequent connections with other processing nodes (including JS nodes), improving workflow flexibility. ### Enhancements @@ -134,8 +132,8 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added support for the [Sybase to PostgreSQL](../connectors/on-prem-databases/sybase.md) sync scenario, now supporting synchronization of default values, enumerated types, and sequences. -- Enabled the ability to define a primary key for tables without a primary key when configuring [Primary-Secondary Merge Nodes](../user-guide/data-development/process-node.md#pri-sec-merged), ensuring data synchronization consistency and improving merge efficiency. +- Added support for the [Sybase to PostgreSQL](connectors/on-prem-databases/sybase.md) sync scenario, now supporting synchronization of default values, enumerated types, and sequences. +- Enabled the ability to define a primary key for tables without a primary key when configuring [Primary-Secondary Merge Nodes](user-guide/data-development/process-node.md#pri-sec-merged), ensuring data synchronization consistency and improving merge efficiency. ### Enhancements @@ -161,7 +159,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- Enhanced [Sybase](../connectors/on-prem-databases/sybase.md)-to-PostgreSQL synchronization scenario, adding **index** migration and **sequence** synchronization features, further improving migration automation and ensuring sequence data consistency. +- Enhanced [Sybase](connectors/on-prem-databases/sybase.md)-to-PostgreSQL synchronization scenario, adding **index** migration and **sequence** synchronization features, further improving migration automation and ensuring sequence data consistency. ### Feature Optimizations @@ -176,7 +174,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added support for restricting [single-session login](../system-admin/other-settings/system-settings.md#login) per account to enhance login security. +- Added support for restricting [single-session login](system-admin/other-settings/system-settings.md#login) per account to enhance login security. ### Enhancements @@ -195,7 +193,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- In the **[Data Verification](../design-incremental-views/validate-views.md)** task's advanced settings, a "**Custom Collate**" option has been added, allowing you to specify the sorting rules for both the source and target databases to ensure consistent character sorting during verification. +- In the **[Data Verification](design-incremental-views/validate-views.md)** task's advanced settings, a "**Custom Collate**" option has been added, allowing you to specify the sorting rules for both the source and target databases to ensure consistent character sorting during verification. ### Enhancements @@ -245,7 +243,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added HTTPS connection support for [Elasticsearch data sources](../connectors/on-prem-databases/elasticsearch.md), enhancing data transmission security to meet more stringent data security and compliance requirements. +- Added HTTPS connection support for [Elasticsearch data sources](connectors/on-prem-databases/elasticsearch.md), enhancing data transmission security to meet more stringent data security and compliance requirements. - Enabled support for synchronizing tables without primary keys by adding a hash field (default name: `_no_pk_hash`), ensuring data consistency and stable synchronization in non-primary key scenarios. ### Enhancements @@ -263,11 +261,11 @@ import TabItem from '@theme/TabItem'; ### New Features -* Kafka-Enhanced and TiDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), providing more advanced features and enhanced production stability. +* Kafka-Enhanced and TiDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](connectors/supported-data-sources.md), providing more advanced features and enhanced production stability. ### Enhancements -- Added a [Multi-threaded CT Table Polling](../connectors/on-prem-databases/sqlserver.md#advanced-settings) option to improve incremental data collection performance for SQL Server environments with a large number of tables (over 500), significantly increasing synchronization efficiency. +- Added a [Multi-threaded CT Table Polling](connectors/on-prem-databases/sqlserver.md#advanced-settings) option to improve incremental data collection performance for SQL Server environments with a large number of tables (over 500), significantly increasing synchronization efficiency. - Optimized the cache management logic for processing nodes, enhancing resource usage efficiency and improving task execution speed. - Introduced an automatic retry mechanism for Oracle LogMiner errors caused by exceeding PGA limits, improving fault tolerance. @@ -284,8 +282,8 @@ import TabItem from '@theme/TabItem'; ### New Features -* Doris, ClickHouse, KingBaseES-R6, PostgreSQL, SQL Server, and MongoDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), providing more advanced features and enhanced production stability. -* Support for [user login authentication via LDAP](../system-admin/other-settings/system-settings.md#ldap) integration with Active Directory (AD), enabling unified user identity management. +* Doris, ClickHouse, KingBaseES-R6, PostgreSQL, SQL Server, and MongoDB have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](connectors/supported-data-sources.md), providing more advanced features and enhanced production stability. +* Support for [user login authentication via LDAP](system-admin/other-settings/system-settings.md#ldap) integration with Active Directory (AD), enabling unified user identity management. * When using PostgreSQL as a source, it is now possible to specify the time point for incremental data in task settings. ### Enhancements @@ -304,7 +302,7 @@ import TabItem from '@theme/TabItem'; ### New Features -* MySQL has passed the TapData certification testing process, upgrading it to a [certified data source](../connectors/supported-data-sources.md), providing more comprehensive features and enhanced production stability. +* MySQL has passed the TapData certification testing process, upgrading it to a [certified data source](connectors/supported-data-sources.md), providing more comprehensive features and enhanced production stability. ### Enhancements @@ -321,9 +319,9 @@ import TabItem from '@theme/TabItem'; ### New Features -- Oracle, Dameng, and Db2 have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](../connectors/supported-data-sources.md), offering richer features and higher production stability. -- When configuring [alert recipient email](../case-practices/best-practice/alert-via-qqmail.md), support for using proxy services has been added, allowing for timely alert notifications even in restricted network environments. -- For [PostgreSQL](../connectors/on-prem-databases/postgresql.md) data sources, incremental data synchronization is now supported using the walminer plugin, catering to more use cases. +- Oracle, Dameng, and Db2 have passed the TapData certification testing process and have been upgraded to [Certified Data Sources](connectors/supported-data-sources.md), offering richer features and higher production stability. +- When configuring [alert recipient email](case-practices/best-practice/alert-via-qqmail.md), support for using proxy services has been added, allowing for timely alert notifications even in restricted network environments. +- For [PostgreSQL](connectors/on-prem-databases/postgresql.md) data sources, incremental data synchronization is now supported using the walminer plugin, catering to more use cases. - Data replication tasks now support reading from multiple tables simultaneously, improving parallel processing capabilities and task execution efficiency. - Added support for batch API publishing, simplifying multi-interface management and enhancing publishing efficiency. @@ -359,8 +357,8 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added table name and API address display functionality in the [Service Management List Page](../publish-apis/create-api-service.md), supporting quick search and filtering by keywords. -- Enhanced [Data Transformation Task Configuration](../user-guide/data-development/create-task.md) to support reloading of single table models in the source node model preview area, improving loading efficiency. +- Added table name and API address display functionality in the [Service Management List Page](publish-apis/create-api-service.md), supporting quick search and filtering by keywords. +- Enhanced [Data Transformation Task Configuration](user-guide/data-development/create-task.md) to support reloading of single table models in the source node model preview area, improving loading efficiency. - Introduced time detection functionality that automatically detects the time difference between the engine deployment server and the database server and displays it on the task monitoring page. ### Enhancements @@ -380,11 +378,11 @@ import TabItem from '@theme/TabItem'; ### New Features -- [Data Verification](../design-incremental-views/validate-views.md) feature now allows downloading detailed discrepancy data from the verification task details page for in-depth analysis. -- Added a [Union Node](../user-guide/copy-data/process-node.md#union-node) to data replication tasks, enabling the merging (UNION) of multiple tables within the same database. This is useful for data integration and analysis scenarios. -- [Doris](../connectors/warehouses-and-lake/doris.md) data source now supports certificate-free HTTPS connections. +- [Data Verification](design-incremental-views/validate-views.md) feature now allows downloading detailed discrepancy data from the verification task details page for in-depth analysis. +- Added a [Union Node](user-guide/copy-data/process-node.md#union-node) to data replication tasks, enabling the merging (UNION) of multiple tables within the same database. This is useful for data integration and analysis scenarios. +- [Doris](connectors/warehouses-and-lake/doris.md) data source now supports certificate-free HTTPS connections. - MySQL, Oracle, OpenGauss, SQL Server, and PostgreSQL data sources now support enabling the **Hash Sharding** feature in the advanced settings of nodes during task configuration, significantly improving the full data sync speed for large tables. -- Added support for [VastBase](../connectors/on-prem-databases/vastbase.md) data source, with a maturity level of Beta, further enriching the variety of data sources. +- Added support for [VastBase](connectors/on-prem-databases/vastbase.md) data source, with a maturity level of Beta, further enriching the variety of data sources. ### Enhancements @@ -409,12 +407,12 @@ import TabItem from '@theme/TabItem'; ### New Features -* [Data Verification](../design-incremental-views/validate-views.md) now includes differential data repair capabilities, enhancing data consistency and accuracy. -* Added a new button for using CDC log Caching when creating [Live Cache](../operational-data-hub/advanced/share-cache.md), simplifying cache task configuration and improving the efficiency and flexibility of cache sharing. +* [Data Verification](design-incremental-views/validate-views.md) now includes differential data repair capabilities, enhancing data consistency and accuracy. +* Added a new button for using CDC log Caching when creating [Live Cache](operational-data-hub/advanced/share-cache.md), simplifying cache task configuration and improving the efficiency and flexibility of cache sharing. ### Enhancements -* Optimized features in the [Real-Time Data Hub](../user-guide/real-time-data-hub/README.md): +* Optimized features in the [Real-Time Data Hub](user-guide/real-time-data-hub/README.md): * The data processing layer now displays all models in the database. * The platform cache layer and platform processing layer can be configured with different connections, which cannot be adjusted after setting. * Added an API publishing entry. @@ -439,8 +437,8 @@ import TabItem from '@theme/TabItem'; ### New Features -* Enhanced [TiDB](../connectors/on-prem-databases/tidb.md) data source capabilities with support for real-time incremental synchronization. -* [Data Validation](../design-incremental-views/validate-views.md) now supports automatic difference checking, allowing real-time tasks to automatically perform difference checks based on incremental delay. +* Enhanced [TiDB](connectors/on-prem-databases/tidb.md) data source capabilities with support for real-time incremental synchronization. +* [Data Validation](design-incremental-views/validate-views.md) now supports automatic difference checking, allowing real-time tasks to automatically perform difference checks based on incremental delay. ### Enhancements @@ -458,7 +456,7 @@ import TabItem from '@theme/TabItem'; ### New Features -* Added support for [granting data verification permissions](../system-admin/manage-role.md) to users, enhancing permission management granularity. +* Added support for [granting data verification permissions](system-admin/manage-role.md) to users, enhancing permission management granularity. * Introduced Mock Source and Mock Target data sources for data migration testing scenarios. ### Enhancements @@ -477,9 +475,9 @@ import TabItem from '@theme/TabItem'; ### New Features -* Added support for dynamically generating date suffixes for target table names when [configuring data transformation tasks](../user-guide/data-development/create-task.md#target-node-set), suitable for daily batch processing scenarios. -* Added support for [integrating with third-party platforms via Webhook](../system-admin/other-settings/notification.md) to enable more alert notification channels. -* Added support for performing Hash validation between MySQL, Oracle, SQL Server, PostgreSQL, and GaussDB data sources when [configuring data validation tasks](../design-incremental-views/validate-views.md), improving validation efficiency. +* Added support for dynamically generating date suffixes for target table names when [configuring data transformation tasks](user-guide/data-development/create-task.md#target-node-set), suitable for daily batch processing scenarios. +* Added support for [integrating with third-party platforms via Webhook](system-admin/other-settings/notification.md) to enable more alert notification channels. +* Added support for performing Hash validation between MySQL, Oracle, SQL Server, PostgreSQL, and GaussDB data sources when [configuring data validation tasks](design-incremental-views/validate-views.md), improving validation efficiency. * Added support for setting partitions when configuring Doris data sources. * Added support for the Oracle mode of OceanBase data sources, with the data source name OceanBase(Oracle). @@ -501,12 +499,12 @@ import TabItem from '@theme/TabItem'; * Support for bidirectional data synchronization between MySQL instances and between PostgreSQL instances, better meeting the needs of active-active and disaster recovery scenarios. * Support for importing files from [MongoDB Relmig](https://www.mongodb.com/docs/relational-migrator/) version 1.3.0 and above, further enhancing ecosystem integration capabilities. * Support for synchronizing MongoDB [Oplog](https://www.mongodb.com/docs/manual/core/replica-set-oplog/) (operation log) data. -* Support for filtering the time field of tables in the source node’s **[Advanced Settings](../user-guide/data-development/create-task.md#full-sql-query)** when configuring data transformation tasks (e.g., relative dates). -* Display milestone information for tasks on the [Task List](../user-guide/copy-data/manage-task.md) page, helping users quickly understand key progress statuses. +* Support for filtering the time field of tables in the source node’s **[Advanced Settings](user-guide/data-development/create-task.md#full-sql-query)** when configuring data transformation tasks (e.g., relative dates). +* Display milestone information for tasks on the [Task List](design-incremental-views/manage-task.md) page, helping users quickly understand key progress statuses. ### Enhancements -* Improved [Unwind Node](../user-guide/data-development/process-node.md#unwind) functionality, allowing users to set expansion modes, such as **Embedded Objects** or **Flatten Fields**. +* Improved [Unwind Node](user-guide/data-development/process-node.md#unwind) functionality, allowing users to set expansion modes, such as **Embedded Objects** or **Flatten Fields**. * Enhanced full synchronization detail page display, supporting quick table name filtering. ### Bug Fixes @@ -520,8 +518,8 @@ import TabItem from '@theme/TabItem'; ### New Features -* [Data replication tasks](../user-guide/copy-data/create-task.md) now support table-level checkpoint resumption, allowing tasks to continue syncing from the last incomplete table upon restart. -* Added the ability to quickly [set task labels](../user-guide/copy-data/manage-task.md) by dragging and dropping. +* [Data replication tasks](data-replication/create-task.md) now support table-level checkpoint resumption, allowing tasks to continue syncing from the last incomplete table upon restart. +* Added the ability to quickly [set task labels](design-incremental-views/manage-task.md) by dragging and dropping. * Added support for MySQL replica architecture, ensuring tasks continue to sync data normally after a failover event. ### Bug Fixes @@ -533,14 +531,14 @@ import TabItem from '@theme/TabItem'; ### New Features -* Support for [assigning labels](../system-admin/manage-cluster.md) to **sync governance services** (Agents), allowing for subsequent assignment of tasks to agents with specific labels. -* Supported real-time log parsing for [TiDB data sources](../connectors/on-prem-databases/tidb.md), meeting the needs for incremental data synchronization. +* Support for [assigning labels](system-admin/manage-cluster.md) to **sync governance services** (Agents), allowing for subsequent assignment of tasks to agents with specific labels. +* Supported real-time log parsing for [TiDB data sources](connectors/on-prem-databases/tidb.md), meeting the needs for incremental data synchronization. * During the full synchronization phase from Oracle to MySQL, support for syncing unique indexes and regular indexes that do not utilize functions. * Added the ability to skip errors encountered during the last run when starting tasks. ### Enhancements -* Optimized the data synchronization task scenario, allowing source nodes to [configure DDL synchronization settings](../case-practices/best-practice/handle-schema-changes.md) and specify DDL statements to ignore (based on regular expressions) in case of DDL errors. +* Optimized the data synchronization task scenario, allowing source nodes to [configure DDL synchronization settings](case-practices/best-practice/handle-schema-changes.md) and specify DDL statements to ignore (based on regular expressions) in case of DDL errors. * Enhanced data verification capabilities to support tasks that include processing nodes. * Improved the data verification results page display, enabling quick filtering of consistent and inconsistent tables. @@ -556,8 +554,8 @@ import TabItem from '@theme/TabItem'; ### New Features -* When [configuring data verification tasks](../design-incremental-views/validate-views.md), custom filtering based on time fields is now available for MongoDB aggregation queries. -* Supported [hash verification](../design-incremental-views/validate-views.md) for MySQL/Oracle homogeneous data source synchronization. +* When [configuring data verification tasks](design-incremental-views/validate-views.md), custom filtering based on time fields is now available for MongoDB aggregation queries. +* Supported [hash verification](design-incremental-views/validate-views.md) for MySQL/Oracle homogeneous data source synchronization. ### Bug Fixes @@ -569,9 +567,9 @@ import TabItem from '@theme/TabItem'; ### New Features -* Support for sending email reminders one week before the license expires (once a day), which can be combined with [configuring SMTP email services](../case-practices/best-practice/alert-via-qqmail.md) to enhance operational convenience. -* New options in [DDL synchronization settings](../case-practices/best-practice/handle-schema-changes.md): **Stop Task on DDL Error** and **Automatically Ignore All DDLs**, catering to different business scenario needs. -* Added a [time field injection](../user-guide/data-development/process-node.md#time_injection) node, allowing the addition of a custom timestamp field to data during synchronization. This provides a more flexible way to capture incremental changes from the source database. +* Support for sending email reminders one week before the license expires (once a day), which can be combined with [configuring SMTP email services](case-practices/best-practice/alert-via-qqmail.md) to enhance operational convenience. +* New options in [DDL synchronization settings](case-practices/best-practice/handle-schema-changes.md): **Stop Task on DDL Error** and **Automatically Ignore All DDLs**, catering to different business scenario needs. +* Added a [time field injection](user-guide/data-development/process-node.md#time_injection) node, allowing the addition of a custom timestamp field to data during synchronization. This provides a more flexible way to capture incremental changes from the source database. * Support for setting the expiration time and size of engine logs, enabling automatic log cleanup. ### Enhancements @@ -586,17 +584,17 @@ import TabItem from '@theme/TabItem'; ### New Features -- [Shared Mining](../operational-data-hub/advanced/share-mining.md) functionality supports using RocksDB as local external storage for incremental log storage expansion. -- [TDengine Connector](../connectors/on-prem-databases/tdengine.md) supports using multiple databases as incremental sources. +- [Shared Mining](operational-data-hub/advanced/share-mining.md) functionality supports using RocksDB as local external storage for incremental log storage expansion. +- [TDengine Connector](connectors/on-prem-databases/tdengine.md) supports using multiple databases as incremental sources. ### Enhancements -- [Task Monitoring Page](../user-guide/copy-data/monitor-task.md) adds a time filter option for the incremental phase to quickly observe the RPS (Records Per Second) of the incremental phase. +- [Task Monitoring Page](data-replication/monitor-task.md) adds a time filter option for the incremental phase to quickly observe the RPS (Records Per Second) of the incremental phase. - Added related prompt information for key operations that may affect the database (such as filtering source table data). ### Bug Fixes -* Fixed the issue where the final data does not match the expectation when the primary and secondary table key conditions change in [Primary-Secondary Merge Node](../user-guide/data-development/process-node.md#pri-sec-merged). +* Fixed the issue where the final data does not match the expectation when the primary and secondary table key conditions change in [Primary-Secondary Merge Node](user-guide/data-development/process-node.md#pri-sec-merged). ## V3.5.10 @@ -629,12 +627,12 @@ import TabItem from '@theme/TabItem'; ### New Features -- Newly supports [Azure Cosmos DB](../connectors/cloud-databases/azure-cosmos-db.md) as a data source, capable of synchronizing full data from the source to help facilitate rapid data flow in the cloud. +- Newly supports [Azure Cosmos DB](connectors/cloud-databases/azure-cosmos-db.md) as a data source, capable of synchronizing full data from the source to help facilitate rapid data flow in the cloud. ### Enhancements -- Enhanced data source connection methods, [SQL Server](../connectors/on-prem-databases/sqlserver.md) supports SSL connections to further enhance data security. -- Optimized the method of adjusting field types in [data replication tasks](../user-guide/copy-data/create-task.md); in addition to manual input, it now supports direct selection of common types from the target database. +- Enhanced data source connection methods, [SQL Server](connectors/on-prem-databases/sqlserver.md) supports SSL connections to further enhance data security. +- Optimized the method of adjusting field types in [data replication tasks](data-replication/create-task.md); in addition to manual input, it now supports direct selection of common types from the target database. - For the source node settings of the task, supports setting the number of records read per batch during the incremental phase to better meet the performance requirements of incremental synchronization. ### Bug Fixes @@ -646,9 +644,9 @@ import TabItem from '@theme/TabItem'; ### New Features -- Supports loading table comments for [Oracle data sources](../connectors/on-prem-databases/oracle.md#advanced), which can be enabled in the advanced options during data source configuration, allowing quick identification of tables' business meanings through comments. -- Supports deployment of TapData on [Windows platform](../backup-files/install-enterprise-edition/install-on-windows.md), further expanding the range of supported deployment platforms. -- In the task operation [monitoring page](../user-guide/copy-data/monitor-task.md), supports viewing RPS (Records Per Second) information based on the dimension of event size. +- Supports loading table comments for [Oracle data sources](connectors/on-prem-databases/oracle.md#advanced), which can be enabled in the advanced options during data source configuration, allowing quick identification of tables' business meanings through comments. +- Supports deployment of TapData on [Windows platform](backup-files/install-enterprise-edition/install-on-windows.md), further expanding the range of supported deployment platforms. +- In the task operation [monitoring page](data-replication/monitor-task.md), supports viewing RPS (Records Per Second) information based on the dimension of event size. ### Bug Fixes @@ -659,8 +657,8 @@ import TabItem from '@theme/TabItem'; ### Enhancements -- Optimized [data source connections](../connectors/README.md), with MySQL, PostgreSQL, Kafka, TiDB, MariaDB, etc., supporting SSL connections to further enhance data security. -- Enhanced the filtering function of [data verification](../design-incremental-views/validate-views.md), supporting custom query and aggregation query filtering through SQL. +- Optimized [data source connections](connectors/README.md), with MySQL, PostgreSQL, Kafka, TiDB, MariaDB, etc., supporting SSL connections to further enhance data security. +- Enhanced the filtering function of [data verification](design-incremental-views/validate-views.md), supporting custom query and aggregation query filtering through SQL. - Optimized interface interaction logic. - For non-primary key update conditions, created a unique index to solve the problem of data duplication. @@ -674,14 +672,14 @@ import TabItem from '@theme/TabItem'; ### New Features - Newly supports Hive3 as a target. -- When MongoDB is the target, newly supports [automatic creation of sharded collections](../user-guide/copy-data/create-task.md#advanced-settings). -- Newly added [Unwind Processing Node](../user-guide/data-development/process-node.md#Unwind), helping you efficiently "unwind" elements in an array, converting each element into a separate data row. +- When MongoDB is the target, newly supports [automatic creation of sharded collections](data-replication/create-task.md#advanced-settings). +- Newly added [Unwind Processing Node](user-guide/data-development/process-node.md#Unwind), helping you efficiently "unwind" elements in an array, converting each element into a separate data row. - When configuring tasks, newly supports the ability to disable nodes. Hovering over a node now offers this functionality, helping to reduce the cost of data flow in the process. ### Enhancements -- Optimized the setting of [published API scope](../publish-apis/create-api-service.md#settings), allowing adjustments without needing to publish. -- When [configuring data replication tasks](../user-guide/copy-data/create-task.md), the **selectable table range** dropdown box allows quick filtering of tables with or without primary keys, where tables with primary keys include those without primary keys but with unique indexes. +- Optimized the setting of [published API scope](publish-apis/create-api-service.md#settings), allowing adjustments without needing to publish. +- When [configuring data replication tasks](data-replication/create-task.md), the **selectable table range** dropdown box allows quick filtering of tables with or without primary keys, where tables with primary keys include those without primary keys but with unique indexes. ### Bug Fixes @@ -692,31 +690,31 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added [building materialized views](../user-guide/data-development/create-materialized-view.md) feature, enabling quick construction of real-time data models. -- Added support for configuring source nodes of [shared mining](../operational-data-hub/advanced/share-mining.md) tasks, including settings for enabling **incremental multi-threaded writing** and **supplementing updated data with complete fields**. -- Kafka data source added support for [setting the number of replicas and partitions](../case-practices/pipeline-tutorial/oracle-to-kafka.md). +- Added [building materialized views](user-guide/data-development/create-materialized-view.md) feature, enabling quick construction of real-time data models. +- Added support for configuring source nodes of [shared mining](operational-data-hub/advanced/share-mining.md) tasks, including settings for enabling **incremental multi-threaded writing** and **supplementing updated data with complete fields**. +- Kafka data source added support for [setting the number of replicas and partitions](case-practices/pipeline-tutorial/oracle-to-kafka.md). - Added support for the `$unset` operation during synchronization between MongoDB instances. ### Enhancements -- [Data verification](../design-incremental-views/validate-views.md) feature field filtering experience optimization. +- [Data verification](design-incremental-views/validate-views.md) feature field filtering experience optimization. - Supported quick node targeting at the top of the data replication/data transformation configuration page through node search. ## V3.5.2 ### New Features -* Added [Python Processing Node](../user-guide/data-development/process-node.md#python), supporting custom data processing logic through Python scripts, offering performance improvements compared to JS processing nodes. +* Added [Python Processing Node](user-guide/data-development/process-node.md#python), supporting custom data processing logic through Python scripts, offering performance improvements compared to JS processing nodes. * Added support for data synchronization between Redis instances. ### Enhancements -* Enhanced [data source error codes](../platform-ops/troubleshooting/error-code.md), covering more scenarios and providing solutions. +* Enhanced [data source error codes](platform-ops/troubleshooting/error-code.md), covering more scenarios and providing solutions. ## V3.5.1 ### New Features -- Now when [creating a role](../system-admin/manage-role.md), it supports the granular granting of functional and data rights. +- Now when [creating a role](system-admin/manage-role.md), it supports the granular granting of functional and data rights. ### Enhancements - Enhanced the UI prompts and guidance when setting up core data sources like PostgreSQL, Redis, etc. @@ -730,10 +728,10 @@ import TabItem from '@theme/TabItem'; ## V3.4 ### New Features -- When task configurations are set for full + incremental sync, there's now support to turn on the [scheduled periodic task feature](../user-guide/copy-data/create-task.md#task-attr). The task will automatically stop, reset, and run again at the set time. -- For the [add/remove field node](../user-guide/data-development/process-node.md#add-and-del-cols), field order adjustment is now supported. -- A new feature to [dynamically adjust memory](../user-guide/copy-data/create-task.md#task-attr) has been introduced (enabled by default). During the full synchronization phase, it identifies memory usage and auto-adjusts the memory queue, effectively preventing memory overflow scenarios. -- The data panel has been renamed to the [Real-time Data Center](../user-guide/real-time-data-hub/README.md), with added guidance on usage and task creation. +- When task configurations are set for full + incremental sync, there's now support to turn on the [scheduled periodic task feature](data-replication/create-task.md#task-attr). The task will automatically stop, reset, and run again at the set time. +- For the [add/remove field node](user-guide/data-development/process-node.md#add-and-del-cols), field order adjustment is now supported. +- A new feature to [dynamically adjust memory](data-replication/create-task.md#task-attr) has been introduced (enabled by default). During the full synchronization phase, it identifies memory usage and auto-adjusts the memory queue, effectively preventing memory overflow scenarios. +- The data panel has been renamed to the [Real-time Data Center](user-guide/real-time-data-hub/README.md), with added guidance on usage and task creation. - Introduced a target write strategy, where if an update event does not exist, it can be written to a local log. ### Enhancements @@ -752,17 +750,17 @@ import TabItem from '@theme/TabItem'; ## V3.3 ### New Features -- [Kafka data source](../connectors/mq-and-middleware/kafka.md) now supports custom message body formats. -- Added the [API interface documentation export feature](../publish-apis/create-api-service.md#release330-export-api) to help teams quickly establish and enhance API usage documents. -- Shared mining functionality supports [configuring task alerts](../operational-data-hub/advanced/share-mining.md#release330-alert), allowing alerts via system notifications or emails for better task monitoring. -- The [data validation function](../design-incremental-views/validate-views.md) allows setting data filters, enabling validation of specific conditional data only, reducing validation scope and increasing efficiency. -- In data service platform mode, when dragging a data table to the platform cache layer to generate a task, it supports [setting the synchronization type of the task to be full or incremental](../user-guide/real-time-data-hub/daas-mode/create-daas-task.md#release330-task). +- [Kafka data source](connectors/mq-and-middleware/kafka.md) now supports custom message body formats. +- Added the [API interface documentation export feature](publish-apis/create-api-service.md#release330-export-api) to help teams quickly establish and enhance API usage documents. +- Shared mining functionality supports [configuring task alerts](operational-data-hub/advanced/share-mining.md#release330-alert), allowing alerts via system notifications or emails for better task monitoring. +- The [data validation function](design-incremental-views/validate-views.md) allows setting data filters, enabling validation of specific conditional data only, reducing validation scope and increasing efficiency. +- In data service platform mode, when dragging a data table to the platform cache layer to generate a task, it supports [setting the synchronization type of the task to be full or incremental](user-guide/real-time-data-hub/daas-mode/create-daas-task.md#release330-task). ### Enhancements -- Introduced [rolling upgrades](../platform-ops/operation.md#release330-upgrade), which, compared to the downtime upgrade method, further reduces business impacts. -- Post-error in [shared mining tasks](../operational-data-hub/advanced/share-mining.md), associated tasks now include alert prompts. -- In the [row filter processing node](../user-guide/data-development/process-node.md), added usage examples when filtering with the DATE type. -- [Time operation node](../user-guide/data-development/process-node.md#date-calculation) now displays adjusted fields. +- Introduced [rolling upgrades](platform-ops/operation.md#release330-upgrade), which, compared to the downtime upgrade method, further reduces business impacts. +- Post-error in [shared mining tasks](operational-data-hub/advanced/share-mining.md), associated tasks now include alert prompts. +- In the [row filter processing node](user-guide/data-development/process-node.md), added usage examples when filtering with the DATE type. +- [Time operation node](user-guide/data-development/process-node.md#date-calculation) now displays adjusted fields. - Optimized algorithm for estimating remaining time for full synchronization. - Field processing nodes now support one-click copy and paste for configurations. @@ -778,22 +776,22 @@ import TabItem from '@theme/TabItem'; ### New Features -- In the data platform mode, it can directly [display the relationship of table-level traceability](../user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md#release320-daas), helping you to visually show the link relationship of data tables. -- In the data platform mode, it supports [deleting tables from the platform processing layer](../user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md#release320-daas). -- When configuring the target node of a task, it supports [adjusting field length by a coefficient](../user-guide/copy-data/create-task.md#release320-col-length) to avoid data write failures due to different character encodings. -- [Data verification](../design-incremental-views/validate-views.md) feature supports SelectDB data source. -- In scenarios where Redis is the target node, and data is stored in List or Hash format with a single key, it [supports writing the source table schema into a Hash key](../case-practices/pipeline-tutorial/mysql-to-redis.md) (default name is `-schema-key-`). The value is used to store the source table's table name and column name information. -- Added [**type filter**](../user-guide/data-development/process-node.md#release320-type-filter) processing node, which can quickly filter columns of the same type. Filtered fields will not be passed to the next node. +- In the data platform mode, it can directly [display the relationship of table-level traceability](user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md#release320-daas), helping you to visually show the link relationship of data tables. +- In the data platform mode, it supports [deleting tables from the platform processing layer](user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md#release320-daas). +- When configuring the target node of a task, it supports [adjusting field length by a coefficient](data-replication/create-task.md#release320-col-length) to avoid data write failures due to different character encodings. +- [Data verification](design-incremental-views/validate-views.md) feature supports SelectDB data source. +- In scenarios where Redis is the target node, and data is stored in List or Hash format with a single key, it [supports writing the source table schema into a Hash key](case-practices/pipeline-tutorial/mysql-to-redis.md) (default name is `-schema-key-`). The value is used to store the source table's table name and column name information. +- Added [**type filter**](user-guide/data-development/process-node.md#release320-type-filter) processing node, which can quickly filter columns of the same type. Filtered fields will not be passed to the next node. - **Field editing** processing node supports conversion between snake_case and camelCase naming. -- Data copy tasks, data conversion tasks, data panels, and caching creation support [displaying table description information](../user-guide/copy-data/create-task.md#310-table-model), defaulting to table comment information. +- Data copy tasks, data conversion tasks, data panels, and caching creation support [displaying table description information](data-replication/create-task.md#310-table-model), defaulting to table comment information. ### Enhancements -- Product menu adjustments: data development is renamed to [data conversion](../user-guide/data-development/). Some functions have been moved to [advanced settings](../user-guide/advanced-settings/) (e.g., shared cache). -- Improved interaction for tables without primary keys, e.g., [support for filtering non-primary key tables and adding primary key table identification](../user-guide/copy-data/create-task.md#310-table-model) when configuring data copy tasks. -- For external storage configurations of MongoDB data sources, [connection testing capability](../operational-data-hub/advanced/manage-external-storage.md#320-external-storage) has been added. -- When creating a new external storage and choosing MongoDB, it supports [using SSL connections](../operational-data-hub/advanced/manage-external-storage.md#320-external-storage). -- Creating an HttpReceiver data source now [supports script trial runs](../connectors/others/http-receiver.md) and [access authentication functionality](../connectors/others/http-receiver.md). +- Product menu adjustments: data development is renamed to [data conversion](user-guide/data-development/). Some functions have been moved to [advanced settings](user-guide/advanced-settings/) (e.g., shared cache). +- Improved interaction for tables without primary keys, e.g., [support for filtering non-primary key tables and adding primary key table identification](data-replication/create-task.md#310-table-model) when configuring data copy tasks. +- For external storage configurations of MongoDB data sources, [connection testing capability](operational-data-hub/advanced/manage-external-storage.md#320-external-storage) has been added. +- When creating a new external storage and choosing MongoDB, it supports [using SSL connections](operational-data-hub/advanced/manage-external-storage.md#320-external-storage). +- Creating an HttpReceiver data source now [supports script trial runs](connectors/others/http-receiver.md) and [access authentication functionality](connectors/others/http-receiver.md). - Standard JS node capabilities adjusted, adding [Linked HashMap data structure](appendix/standard-js.md#linkedhashmap) and [context.global object](appendix/standard-js.md#global). - **Field editing** processing node's UI interaction has been improved. - Redundant prompts for task startup and schema reload have been optimized. @@ -817,17 +815,17 @@ import TabItem from '@theme/TabItem'; ### New Features -- [Data panel functionality](../user-guide/real-time-data-hub/etl-mode) now supports table-level traceability capabilities. You can view data lineage relationships through table details. -- When [configuring data copy tasks](../user-guide/copy-data/create-task.md#310-table-model), you can view the table model in the processing node. -- Supports publishing API data services based on Doris data source [Release API Data Services](../publish-apis/create-api-service.md). -- [Cluster management](../system-admin/manage-cluster.md) page allows downloading thread resource monitoring and data source usage data. +- [Data panel functionality](user-guide/real-time-data-hub/etl-mode) now supports table-level traceability capabilities. You can view data lineage relationships through table details. +- When [configuring data copy tasks](data-replication/create-task.md#310-table-model), you can view the table model in the processing node. +- Supports publishing API data services based on Doris data source [Release API Data Services](publish-apis/create-api-service.md). +- [Cluster management](system-admin/manage-cluster.md) page allows downloading thread resource monitoring and data source usage data. ### Enhancements -- Shared mining task management improved, supporting [starting/stopping mining tasks for individual tables](../operational-data-hub/advanced/share-mining.md#release310-share-mining). -- [Shared cache](../operational-data-hub/advanced/share-cache.md), [functions](../operational-data-hub/advanced/manage-function.md), [API data services](../publish-apis/create-api-service.md) support import/export functions. -- [Data verification](../design-incremental-views/validate-views.md) supports configuring alert rules and notification methods. -- Auto-fill table logic for [data verification](../design-incremental-views/validate-views.md) has been optimized. +- Shared mining task management improved, supporting [starting/stopping mining tasks for individual tables](operational-data-hub/advanced/share-mining.md#release310-share-mining). +- [Shared cache](operational-data-hub/advanced/share-cache.md), [functions](operational-data-hub/advanced/manage-function.md), [API data services](publish-apis/create-api-service.md) support import/export functions. +- [Data verification](design-incremental-views/validate-views.md) supports configuring alert rules and notification methods. +- Auto-fill table logic for [data verification](design-incremental-views/validate-views.md) has been optimized. - Frontend added explanations for the distinction between [standard JS](appendix/standard-js.md) and [enhanced JS](appendix/enhanced-js.md). - JS processor standardization, JS usage, and trial run have been restructured. - In all processing nodes supporting JS scripting, typing `record.` automatically prompts for the current model's field names. @@ -858,16 +856,16 @@ import TabItem from '@theme/TabItem'; ### New Features -- [Integrated GraphQL capability](../publish-apis/query-via-graphql.md), enriching API query methods. -- Added [application categorization capability for APIs](../publish-apis/create-api-service.md), facilitating categorization based on business. -- Introduced [time calculation processing node](../user-guide/data-development/process-node.md#time-calculation) for flexible handling of discrepancies in source and destination database time zones. -- Introduced [full-scale partitioning capability](../case-practices/best-practice/full-breakpoint-resumption.md), currently only supported for MongoDB. +- [Integrated GraphQL capability](publish-apis/query-via-graphql.md), enriching API query methods. +- Added [application categorization capability for APIs](publish-apis/create-api-service.md), facilitating categorization based on business. +- Introduced [time calculation processing node](user-guide/data-development/process-node.md#time-calculation) for flexible handling of discrepancies in source and destination database time zones. +- Introduced [full-scale partitioning capability](case-practices/best-practice/full-breakpoint-resumption.md), currently only supported for MongoDB. ### Enhancements -- [Shared cache function](../operational-data-hub/advanced/share-mining.md) improved, offering an observable page to monitor mining progress and troubleshoot failures. -- [Full custom query function](../user-guide/data-development/create-task.md#full-sql-query) relaxed the restriction of only using JS nodes, now allowing the addition of other processing nodes with the node model directly utilizing the source table's model. -- The field [processing node](../user-guide/data-development/process-node.md) supporting operations like adding/deleting fields, type modifications, and renaming fields now includes a field search function. +- [Shared cache function](operational-data-hub/advanced/share-mining.md) improved, offering an observable page to monitor mining progress and troubleshoot failures. +- [Full custom query function](user-guide/data-development/create-task.md#full-sql-query) relaxed the restriction of only using JS nodes, now allowing the addition of other processing nodes with the node model directly utilizing the source table's model. +- The field [processing node](user-guide/data-development/process-node.md) supporting operations like adding/deleting fields, type modifications, and renaming fields now includes a field search function. - Adjusted wording for Schema loading frequency configuration in connection settings. - Optimization of table name modification logic in the **Table Editing Node**; removed the apply button for direct configuration effectiveness. - During the startup of the management process (frontend), it now includes heapDump and stackTrace parameters, similar to the synchronization governance process. diff --git a/docs/release-notes/README.md b/docs/release-notes/README.md index ab7b6eaa..bb62e7db 100644 --- a/docs/release-notes/README.md +++ b/docs/release-notes/README.md @@ -1,8 +1,6 @@ # Release Notes -import Content from '../reuse-content/_all-features.md'; - Based on the product family you use, select the documents below to stay up-to-date on the latest product developments: diff --git a/docs/release-notes/release-notes-cloud.md b/docs/release-notes/release-notes-cloud.md index 7c7c8e51..268c951a 100644 --- a/docs/release-notes/release-notes-cloud.md +++ b/docs/release-notes/release-notes-cloud.md @@ -1,8 +1,5 @@ # TapData Cloud Release Notes -import Content from '../reuse-content/_cloud-features.md'; - - To enhance the user experience, TapData Cloud continuously enriches and optimizes product features and rectifies known defects by releasing new versions. This article provides an update log for TapData Cloud, helping you grasp the new feature specifications more effectively. @@ -423,7 +420,7 @@ import TabItem from '@theme/TabItem'; * Support for importing files from [MongoDB Relmig](https://www.mongodb.com/docs/relational-migrator/) version 1.3.0 and above, further enhancing ecosystem integration capabilities. * Support for synchronizing MongoDB [Oplog](https://www.mongodb.com/docs/manual/core/replica-set-oplog/) (operation log) data. * Support for filtering the time field of tables in the source node’s **[Advanced Settings](../user-guide/data-development/create-task.md#full-sql-query)** when configuring data transformation tasks (e.g., relative dates). -* Display milestone information for tasks on the [Task List](../user-guide/copy-data/manage-task.md) page, helping users quickly understand key progress statuses. +* Display milestone information for tasks on the [Task List](../design-incremental-views/manage-task.md) page, helping users quickly understand key progress statuses. #### Enhancements @@ -439,8 +436,8 @@ import TabItem from '@theme/TabItem'; #### New Features -* [Data replication tasks](../user-guide/copy-data/create-task.md) now support table-level checkpoint resumption, allowing tasks to continue syncing from the last incomplete table upon restart. -* Added the ability to quickly [set task labels](../user-guide/copy-data/manage-task.md) by dragging and dropping. +* [Data replication tasks](../data-replication/create-task.md) now support table-level checkpoint resumption, allowing tasks to continue syncing from the last incomplete table upon restart. +* Added the ability to quickly [set task labels](../design-incremental-views/manage-task.md) by dragging and dropping. * Added support for MySQL replica architecture, ensuring tasks continue to sync data normally after a failover event. #### Enhancements @@ -510,7 +507,7 @@ import TabItem from '@theme/TabItem'; ### Enhancements - Improved the onboarding process for users from the [Google Cloud Marketplace](https://console.cloud.google.com/marketplace/product/tapdata-public/detail). -- Added a time filter option for the incremental phase in the [Task Monitoring Page](../user-guide/copy-data/monitor-task.md) to quickly observe RPS (Records Per Second) during the incremental phase. +- Added a time filter option for the incremental phase in the [Task Monitoring Page](../data-replication/monitor-task.md) to quickly observe RPS (Records Per Second) during the incremental phase. - Added warning messages for critical operations that might impact the database (e.g., filtering source table data). - Refined the logic for unsubscribing after instance subscription expiration. @@ -568,7 +565,7 @@ import TabItem from '@theme/TabItem'; ### Enhancements - Upgraded data source connections, with [SQL Server](../connectors/on-prem-databases/sqlserver.md) now supporting SSL connections, enhancing data security. -- Optimized field type adjustments in [data replication tasks](../user-guide/copy-data/create-task.md), allowing for direct selection of common types from the target database. +- Optimized field type adjustments in [data replication tasks](../data-replication/create-task.md), allowing for direct selection of common types from the target database. - Improved task source node settings, enabling customization of the number of rows read per batch in the incremental phase, catering to performance needs of incremental synchronization. ### Bug Fixes @@ -583,7 +580,7 @@ import TabItem from '@theme/TabItem'; ### New Features * Support for loading table comments on [Oracle data sources](../connectors/on-prem-databases/oracle.md#advanced), which can be enabled in the **Advanced Settings** when configuring the data source. This makes it easier to quickly identify the business meaning of tables through their comments. -* In the task [monitoring page](../user-guide/copy-data/monitor-task.md), support viewing RPS (Records Per Second) information based on the size of events. +* In the task [monitoring page](../data-replication/monitor-task.md), support viewing RPS (Records Per Second) information based on the size of events. ### Enhancements @@ -618,13 +615,13 @@ import TabItem from '@theme/TabItem'; ### New Features -- Added support for [automatically creating sharded collections](../user-guide/copy-data/create-task.md#advanced-settings) when MongoDB Cluster is set as the target. +- Added support for [automatically creating sharded collections](../data-replication/create-task.md#advanced-settings) when MongoDB Cluster is set as the target. - Add support for [Unwind Processing Node](../user-guide/data-development/process-node.md#Unwind), which can help you efficiently "unwind" each element in an array, converting each element into independent data rows. - Added support for disabling node capabilities when configuring tasks. You can access this feature by hovering over a node, which can help reduce the cost of data flow during processing. ### Enhancements -- When [configuring data replication tasks](../user-guide/copy-data/create-task.md), you can now quickly filter tables with or without primary keys through the "**Selectable table range**" dropdown. Tables with primary keys include those without primary keys but with unique indexes. +- When [configuring data replication tasks](../data-replication/create-task.md), you can now quickly filter tables with or without primary keys through the "**Selectable table range**" dropdown. Tables with primary keys include those without primary keys but with unique indexes. - Added a Demo data source to the onboarding guide flow for new users, helping you quickly complete the tutorial and set up your first data flow task. - Optimized the front-end display effects of operation buttons on the engine interface. diff --git a/docs/release-notes/release-notes-community.md b/docs/release-notes/release-notes-community.md index 0f6fc728..0bc09de2 100644 --- a/docs/release-notes/release-notes-community.md +++ b/docs/release-notes/release-notes-community.md @@ -1,9 +1,5 @@ # TapData Community Release Notes -import Content from '../reuse-content/_community-features.md'; - - - This document introduces the recent release notes for TapData Community. For more information on earlier versions, please refer to the [GitHub Release Page](https://github.com/tapdata/tapdata/releases). ## 3.27.0 diff --git a/docs/system-admin/manage-cluster.md b/docs/system-admin/manage-cluster.md index ecf58906..57a3b415 100644 --- a/docs/system-admin/manage-cluster.md +++ b/docs/system-admin/manage-cluster.md @@ -1,7 +1,5 @@ # Manage Clusters -import Content from '../reuse-content/_enterprise-features.md'; - Through the Cluster Management page, you can view the running status of all components within the current cluster, the number of external connections established, and other information. It also supports management operations. diff --git a/docs/system-admin/manage-role.md b/docs/system-admin/manage-role.md index 23bfc637..b34f81a2 100644 --- a/docs/system-admin/manage-role.md +++ b/docs/system-admin/manage-role.md @@ -1,7 +1,4 @@ # Manage Roles -import Content from '../reuse-content/_enterprise-features.md'; - - A role is a collection of one or more permissions. You can grant multiple operation permissions to a role, and then grant the role to a [user](manage-user.md), who will inherit all the permissions within that role. Based on this design, you can pre-create roles based on business needs and then directly assign roles to users when creating them, without the need to configure permissions for each user, thereby simplifying operational management and enhancing security. diff --git a/docs/system-admin/manage-user.md b/docs/system-admin/manage-user.md index 964e7132..df3bdc45 100644 --- a/docs/system-admin/manage-user.md +++ b/docs/system-admin/manage-user.md @@ -1,7 +1,4 @@ # Manage Users -import Content from '../reuse-content/_enterprise-and-community-features.md'; - - After TapData is deployed, a system administrator named `admin@admin.com` will be automatically created. To better manage platform operation permissions, you can log into the TapData platform with this account and perform management operations, such as creating users and granting permissions, for other members within the organization. diff --git a/docs/system-admin/operation-log.md b/docs/system-admin/operation-log.md index d6aa3784..f9f407e7 100644 --- a/docs/system-admin/operation-log.md +++ b/docs/system-admin/operation-log.md @@ -1,9 +1,5 @@ # Operation Log -import Content from '../reuse-content/_cloud-features.md'; - - - TapData Cloud uses the operation log to record user actions while using the system. You can view the recent activity log and filter the action log by applying the filter. diff --git a/docs/system-admin/other-settings/README.md b/docs/system-admin/other-settings/README.md index dab86945..2dabf35a 100644 --- a/docs/system-admin/other-settings/README.md +++ b/docs/system-admin/other-settings/README.md @@ -1,7 +1,4 @@ # Other Settings -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - import DocCardList from '@theme/DocCardList'; diff --git a/docs/system-admin/other-settings/check-version.md b/docs/system-admin/other-settings/check-version.md index c8b645dc..75af722d 100644 --- a/docs/system-admin/other-settings/check-version.md +++ b/docs/system-admin/other-settings/check-version.md @@ -1,9 +1,5 @@ # View System Version -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - - In the upper right corner of the TapData platform, click on your account, and then click on **Version** to view the current version. ![Check Version](../../images/check_version_1.png) \ No newline at end of file diff --git a/docs/system-admin/other-settings/manage-license.md b/docs/system-admin/other-settings/manage-license.md index a6eff940..1e11ce59 100644 --- a/docs/system-admin/other-settings/manage-license.md +++ b/docs/system-admin/other-settings/manage-license.md @@ -1,9 +1,5 @@ # Manage License -import Content from '../../reuse-content/_enterprise-features.md'; - - - For partners of the TapData platform, you can view and manage your license by clicking on the username and selecting "**License**". Here, you have the options to copy and update your License. ![](../../images/manage_license_1.png) diff --git a/docs/system-admin/other-settings/notification.md b/docs/system-admin/other-settings/notification.md index 13b37435..45bb1b27 100644 --- a/docs/system-admin/other-settings/notification.md +++ b/docs/system-admin/other-settings/notification.md @@ -1,9 +1,5 @@ # Notification and Alert Settings -import Content from '../../reuse-content/_enterprise-features.md'; - - - :::tip If you are using TapData Cloud, notification messages and configuration entry points are located at the top right of the page. You can set notification rules and alert recipients. diff --git a/docs/system-admin/other-settings/system-settings.md b/docs/system-admin/other-settings/system-settings.md index f9972dfc..55259b07 100644 --- a/docs/system-admin/other-settings/system-settings.md +++ b/docs/system-admin/other-settings/system-settings.md @@ -1,7 +1,4 @@ # System Settings -import Content from '../../reuse-content/_enterprise-features.md'; - - The system settings feature is mainly used to configure some parameters of the system, such as logging, SMTP, API distribution, and more. diff --git a/docs/user-guide/README.md b/docs/user-guide/README.md index 07755503..5d922eb3 100644 --- a/docs/user-guide/README.md +++ b/docs/user-guide/README.md @@ -1,8 +1,6 @@ # User Guide -import Content from '../reuse-content/_all-features.md'; - import DocCardList from '@theme/DocCardList'; diff --git a/docs/user-guide/copy-data/create-task-via-drag.md b/docs/user-guide/copy-data/create-task-via-drag.md index e44c72c6..9a7ea058 100644 --- a/docs/user-guide/copy-data/create-task-via-drag.md +++ b/docs/user-guide/copy-data/create-task-via-drag.md @@ -1,8 +1,6 @@ # Generate Data Pipeline with One Click -import Content from '../../reuse-content/_all-features.md'; - In the **Board** view mode, you can simply drag the source table to the target database to generate a data pipeline with one click, greatly simplifying the task configuration process and real-time synchronization of source data. This article introduce how to generate a data pipeline. @@ -28,5 +26,5 @@ In the **Board** view mode, you can simply drag the source table to the target d - **Save and Run**: No additional action is required. TapData will automatically create a data transformation task and run it to synchronize your source tables in real-time to the selected target data source. In this case, the **customer** table in the source MySQL will be synchronized to MongoDB in real-time. - You can also click the task name in the target data card to enter the task monitoring page to see the detailed operation status. For more information, see [Monitoring Tasks](monitor-task.md). + You can also click the task name in the target data card to enter the task monitoring page to see the detailed operation status. For more information, see [Monitoring Tasks](../../data-replication/monitor-task.md). diff --git a/docs/user-guide/copy-data/process-node.md b/docs/user-guide/copy-data/process-node.md index b0d3b9d7..98920dc3 100644 --- a/docs/user-guide/copy-data/process-node.md +++ b/docs/user-guide/copy-data/process-node.md @@ -1,7 +1,5 @@ # Adding Processing Nodes to Replication Tasks -import Content from '../../reuse-content/_all-features.md'; - TapData supports integrating processing nodes into data replication tasks for requirements like data filtering or field adjustments. @@ -153,7 +151,7 @@ In this case, the source database is in UTC+8, and the target database is in UTC - **Select the time type to operate on**: TapData auto-detects supportable time types. You should choose based on your business requirements. Additionally, you can click the **Model** tab to see the relationship between time types and column names. - **Select the operation method**: Supports adding or subtracting time, in integer hours. In this case, we choose to subtract 8 hours. -6. Complete the configuration for the target node and the task. For specific steps, see [Creating a Data Replication Task](create-task.md). +6. Complete the configuration for the target node and the task. For specific steps, see [Creating a Data Replication Task](../../data-replication/create-task.md). **Result Verification**: diff --git a/docs/user-guide/copy-data/quick-create-task.md b/docs/user-guide/copy-data/quick-create-task.md index 5a6adc2e..f4e8ab8b 100644 --- a/docs/user-guide/copy-data/quick-create-task.md +++ b/docs/user-guide/copy-data/quick-create-task.md @@ -1,8 +1,5 @@ # Quickly Create Data Replication Task -import Content from '../../reuse-content/_cloud-features.md'; - - The data replication feature helps you achieve real-time synchronization between homogeneous or heterogeneous data sources. It is suitable for various business scenarios such as data migration/synchronization, disaster recovery, and read performance expansion. TapData supports a form-based wizard to guide you through creating replication tasks quickly. This article explains the detailed process. diff --git a/docs/user-guide/data-development/README.md b/docs/user-guide/data-development/README.md index 8290de95..1ddcf2b1 100644 --- a/docs/user-guide/data-development/README.md +++ b/docs/user-guide/data-development/README.md @@ -1,8 +1,6 @@ # Data Transformation -import Content from '../../reuse-content/_all-features.md'; - To configure data transformation tasks with advanced data processing requirements such as table merging, data splitting, field adding/deleting, and data sharing without impacting the user's business, you can add processing nodes. This enables data processing, disaster recovery, and analysis scenarios. diff --git a/docs/user-guide/data-development/create-materialized-view.md b/docs/user-guide/data-development/create-materialized-view.md index 40f2d6eb..c3dfecca 100644 --- a/docs/user-guide/data-development/create-materialized-view.md +++ b/docs/user-guide/data-development/create-materialized-view.md @@ -1,8 +1,6 @@ # Build Real-Time Materialized Views (Beta) -import Content from '../../reuse-content/_all-features.md'; - Materialized views are specialized database object that cache the results of intricate queries, thereby accelerating data retrieval. With TapData, you can craft real-time materialized views across diverse data sources. This not only ensures accuracy and immediacy of data but also streamlines data management and application development. diff --git a/docs/user-guide/data-development/create-task.md b/docs/user-guide/data-development/create-task.md index 866c4322..2b7ee35b 100644 --- a/docs/user-guide/data-development/create-task.md +++ b/docs/user-guide/data-development/create-task.md @@ -1,8 +1,6 @@ # Create a Data Transformation Task -import Content from '../../reuse-content/_all-features.md'; - In TapData, data transformation tasks provide the capability to incorporate processing nodes between source and target data nodes. These processing nodes serve as valuable tools for efficiently carrying out data processing tasks, such as merging multiple tables, splitting data, and adding or removing fields. diff --git a/docs/user-guide/data-development/monitor-task.md b/docs/user-guide/data-development/monitor-task.md index 2689096b..103ec3f0 100644 --- a/docs/user-guide/data-development/monitor-task.md +++ b/docs/user-guide/data-development/monitor-task.md @@ -1,8 +1,6 @@ # Monitor Data Transformation Task -import Content from '../../reuse-content/_all-features.md'; - Once the data transformation task is started, the page will automatically redirect to the task monitoring page. From there, you can monitor the task's operation details, such as the status of the Agent, data synchronization progress, task progress, alert settings, and other relevant information. diff --git a/docs/user-guide/error-code-solution.md b/docs/user-guide/error-code-solution.md index ef8e1c2b..9130b589 100644 --- a/docs/user-guide/error-code-solution.md +++ b/docs/user-guide/error-code-solution.md @@ -1,8 +1,6 @@ # Task Error Codes and Solutions -import Content from '../reuse-content/_all-features.md'; - If you encounter an exception with a task, you can view the relevant log information at the bottom of the task's [monitoring page](data-development/monitor-task.md). For common issues, TapData has codified them into specific error codes for easier lookup, and provides the cause of the error and its solution. diff --git a/docs/user-guide/log-in.md b/docs/user-guide/log-in.md index 624c4eb1..84917641 100644 --- a/docs/user-guide/log-in.md +++ b/docs/user-guide/log-in.md @@ -1,7 +1,4 @@ # Log in to TapData Platform -import Content from '../reuse-content/_all-features.md'; - - TapData provides a user-friendly interface, allowing you to set up and manage data pipelines easily through simple drag-and-drop actions. Before starting, you need to log in to the TapData platform according to the product series you have chosen by following the guidelines below. diff --git a/docs/user-guide/manage-agent.md b/docs/user-guide/manage-agent.md index 1f5c0a12..4bebb6f3 100644 --- a/docs/user-guide/manage-agent.md +++ b/docs/user-guide/manage-agent.md @@ -1,7 +1,4 @@ # Manage Agent -import Content from '../reuse-content/_cloud-features.md'; - - TapData Cloud provides visual management and maintenance capabilities for Agents. You can manage installed Agents through the dedicated page or by executing commands. diff --git a/docs/user-guide/manage-system/README.md b/docs/user-guide/manage-system/README.md index bd760ce0..387acabb 100644 --- a/docs/user-guide/manage-system/README.md +++ b/docs/user-guide/manage-system/README.md @@ -1,7 +1,4 @@ # Manage System -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - import DocCardList from '@theme/DocCardList'; diff --git a/docs/user-guide/manage-system/_manage-external-storage.md b/docs/user-guide/manage-system/_manage-external-storage.md index 38512e1f..98ca4061 100644 --- a/docs/user-guide/manage-system/_manage-external-storage.md +++ b/docs/user-guide/manage-system/_manage-external-storage.md @@ -1,7 +1,4 @@ # Manage External Storage -import Content from '../../reuse-content/_enterprise-and-community-features.md'; - - To facilitate the quick reading of task-related information subsequently, TapData stores necessary configurations, incremental logs of source tables, and other information related to the task in its internal MongoDB database. To store more data, you can create an external database to store relevant data. diff --git a/docs/user-guide/no-supported-data-type.md b/docs/user-guide/no-supported-data-type.md index 58722ffd..86110194 100644 --- a/docs/user-guide/no-supported-data-type.md +++ b/docs/user-guide/no-supported-data-type.md @@ -1,8 +1,6 @@ # Data Type Support Description -import Content from '../reuse-content/_all-features.md'; - :::tip diff --git a/docs/user-guide/real-time-data-hub/README.md b/docs/user-guide/real-time-data-hub/README.md index 461cbcae..9f8cd8f2 100644 --- a/docs/user-guide/real-time-data-hub/README.md +++ b/docs/user-guide/real-time-data-hub/README.md @@ -1,7 +1,5 @@ # Real-Time Data Hub -import Content from '../../reuse-content/_enterprise-and-cloud-features.md'; - The Real-Time Data Hub supports two modes, catering to different data governance needs. diff --git a/docs/user-guide/real-time-data-hub/_create-task.md b/docs/user-guide/real-time-data-hub/_create-task.md index 86a836a5..c27e42ff 100644 --- a/docs/user-guide/real-time-data-hub/_create-task.md +++ b/docs/user-guide/real-time-data-hub/_create-task.md @@ -1,8 +1,6 @@ # Automatic Data Flow with One Click -import Content from '../../reuse-content/_enterprise-and-cloud-features.md'; - In the Data Service Platform Mode, you can simply drag the source table to the required level to generate a data pipeline and automatically start the task, greatly simplifying the task configuration process. This article describes how to achieve the flow of data between different levels and finally provide it to the terminal business. diff --git a/docs/user-guide/real-time-data-hub/_dashboard.md b/docs/user-guide/real-time-data-hub/_dashboard.md index ee995508..53e87925 100644 --- a/docs/user-guide/real-time-data-hub/_dashboard.md +++ b/docs/user-guide/real-time-data-hub/_dashboard.md @@ -1,8 +1,6 @@ # Real-Time Data Hub Dashboard -import Content from '../../reuse-content/_enterprise-and-cloud-features.md'; - Once the data service platform mode is activated, the page will be organized according to the previously mentioned [hierarchy](daas-mode/enable-daas-mode.md). You can effortlessly drag the table to the next level, which will automatically create data replication tasks and streamline the data flow. diff --git a/docs/user-guide/real-time-data-hub/daas-mode/README.md b/docs/user-guide/real-time-data-hub/daas-mode/README.md index c105cdeb..e94efda3 100644 --- a/docs/user-guide/real-time-data-hub/daas-mode/README.md +++ b/docs/user-guide/real-time-data-hub/daas-mode/README.md @@ -1,7 +1,5 @@ # Data as Service Mode -import Content from '../../../reuse-content/_enterprise-and-cloud-features.md'; - import DocCardList from '@theme/DocCardList'; diff --git a/docs/user-guide/real-time-data-hub/daas-mode/create-daas-task.md b/docs/user-guide/real-time-data-hub/daas-mode/create-daas-task.md index 3608ac93..041492cc 100644 --- a/docs/user-guide/real-time-data-hub/daas-mode/create-daas-task.md +++ b/docs/user-guide/real-time-data-hub/daas-mode/create-daas-task.md @@ -1,7 +1,5 @@ # Automatic Data Flow with One Click -import Content from '../../../reuse-content/_enterprise-and-cloud-features.md'; - In the Data Service Platform Mode, you can simply drag the source table to the required level to generate a data pipeline and automatically start the task, greatly simplifying the task configuration process. This article describes how to achieve the flow of data between different levels and finally provide it to the terminal business. diff --git a/docs/user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md b/docs/user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md index a23e2492..4da20570 100644 --- a/docs/user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md +++ b/docs/user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md @@ -1,7 +1,5 @@ # DaaS Dashboard -import Content from '../../../reuse-content/_enterprise-and-cloud-features.md'; - Once the data service platform mode is activated, the page will be organized according to the previously mentioned [hierarchy](enable-daas-mode.md). You can effortlessly drag the table to the next level, which will automatically create data replication tasks and streamline the data flow. diff --git a/docs/user-guide/real-time-data-hub/daas-mode/enable-daas-mode.md b/docs/user-guide/real-time-data-hub/daas-mode/enable-daas-mode.md index 441609d7..429ba9c3 100644 --- a/docs/user-guide/real-time-data-hub/daas-mode/enable-daas-mode.md +++ b/docs/user-guide/real-time-data-hub/daas-mode/enable-daas-mode.md @@ -1,8 +1,6 @@ # Enable Real-Time Data Hub -import Content from '../../../reuse-content/_enterprise-and-cloud-features.md'; - Due to digital transformation, the presence of isolated data, data fragmentation, or data silos has emerged as a significant challenge. Moreover, there is a growing demand for data in business operations. However, traditional data delivery methods pose limitations, such as lengthy processes and substantial resource requirements. This situation calls for a solution that enables organizations to swiftly establish data flow pipelines and unlock the value of their data. diff --git a/docs/user-guide/real-time-data-hub/etl-mode/README.md b/docs/user-guide/real-time-data-hub/etl-mode/README.md index 4ab319f4..6b051dc3 100644 --- a/docs/user-guide/real-time-data-hub/etl-mode/README.md +++ b/docs/user-guide/real-time-data-hub/etl-mode/README.md @@ -1,7 +1,4 @@ # Data Integration Mode -import Content from '../../../reuse-content/_enterprise-and-cloud-features.md'; - - import DocCardList from '@theme/DocCardList'; diff --git a/docs/user-guide/real-time-data-hub/etl-mode/create-etl-task.md b/docs/user-guide/real-time-data-hub/etl-mode/create-etl-task.md index f1812877..cea96619 100644 --- a/docs/user-guide/real-time-data-hub/etl-mode/create-etl-task.md +++ b/docs/user-guide/real-time-data-hub/etl-mode/create-etl-task.md @@ -1,8 +1,6 @@ # Generate Data Pipeline with One Click -import Content from '../../../reuse-content/_enterprise-and-cloud-features.md'; - In the Data Integration Mode, you can simply drag the source table to the target database to generate a data pipeline with one click, greatly simplifying the task configuration process and real-time synchronization of source data. This article introduce how to generate a data pipeline. diff --git a/docs/user-guide/real-time-data-hub/etl-mode/etl-mode-dashboard.md b/docs/user-guide/real-time-data-hub/etl-mode/etl-mode-dashboard.md index d0e18d20..b1a308e4 100644 --- a/docs/user-guide/real-time-data-hub/etl-mode/etl-mode-dashboard.md +++ b/docs/user-guide/real-time-data-hub/etl-mode/etl-mode-dashboard.md @@ -1,8 +1,6 @@ # Data Integration Dashboard -import Content from '../../../reuse-content/_enterprise-and-cloud-features.md'; - TapData's data console is designed with Data Integration Mode as its default setting. This mode is specifically designed for tasks such as data replication, synchronization, migrating data to the cloud, and building ETL pipelines. It offers a user-friendly interface where you can easily drag and drop the source table onto the target, allowing for the automatic creation of data replication tasks. diff --git a/docs/user-guide/workshop.md b/docs/user-guide/workshop.md index a1cee385..4d89421d 100644 --- a/docs/user-guide/workshop.md +++ b/docs/user-guide/workshop.md @@ -1,7 +1,5 @@ # Dashboard -import Content from '../reuse-content/_all-features.md'; - The dashboard provides a convenient platform to swiftly understand the product's functionality and effortlessly perform tasks like creating agents, establishing connections, and setting up tasks. Based on the product series you have chosen, refer to the following documentation. diff --git a/sidebars.js b/sidebars.js index a50c892c..6d810f80 100644 --- a/sidebars.js +++ b/sidebars.js @@ -59,7 +59,6 @@ const sidebars = { link: {type: 'doc', id: 'connectors/README'}, items: [ 'connectors/supported-data-sources', - 'connectors/manage-connection', { type: 'category', label: 'Warehouses and Lakes', @@ -212,51 +211,18 @@ const sidebars = { 'connectors/others/mock-target', ] }, + 'connectors/manage-connection', + 'connectors/pre-check', + 'connectors/trouble-shooting-connection', ] }, { type: 'category', - label: 'Design Incremental Materialized Views', - link: { type: 'doc', id: 'design-incremental-views/README' }, - items: [ - 'design-incremental-views/overview', - { - type: 'category', - label: 'Create Views', - link: { type: 'doc', id: 'design-incremental-views/create-views/README' }, - items: [ - 'design-incremental-views/create-views/using-imv-guide', - 'design-incremental-views/create-views/using-data-pipeline-ui', - 'design-incremental-views/create-views/using-tapflow', - ], - }, - 'design-incremental-views/design-considerations', - 'design-incremental-views/monitor-view-tasks', - ], - }, - { - type: 'category', - label: 'Publish Data as APIs ', - link: {type: 'doc', id: 'publish-apis/README'}, - items:[ - 'publish-apis/manage-app', - 'publish-apis/create-api-service', - 'publish-apis/create-api-client', - 'publish-apis/create-api-server', - 'publish-apis/audit-api', - 'publish-apis/monitor-api-request', - 'publish-apis/api-auth', - 'publish-apis/query-via-restful', - 'publish-apis/query-via-graphql', - 'publish-apis/api-query-params', - ] - }, - { - type: 'category', - label: 'Operational Data Hub--TBD', + label: 'Operational Data Hub', link: { type: 'doc', id: 'operational-data-hub/README' }, items: [ 'operational-data-hub/plan-data-platform', + 'operational-data-hub/set-up-odh', { type: 'category', label: 'Ingest and Sync Data (FDM Layer)', @@ -298,17 +264,66 @@ const sidebars = { 'operational-data-hub/advanced/share-mining' ], }, + ], + }, + { + type: 'category', + label: 'Design Incremental Materialized Views', + link: { type: 'doc', id: 'design-incremental-views/README' }, + items: [ + 'design-incremental-views/overview', { - type: 'category', - label: 'Chat with Data via MCP (Preview)', - link: {type: 'doc', id: 'operational-data-hub/mcp/README'}, - items: [ - 'operational-data-hub/mcp/introduction', - 'operational-data-hub/mcp/quick-start' - ] - }, + type: 'category', + label: 'Create Views', + link: { type: 'doc', id: 'design-incremental-views/create-views/README' }, + items: [ + 'design-incremental-views/create-views/using-imv-guide', + 'design-incremental-views/create-views/using-data-pipeline-ui', + 'design-incremental-views/create-views/using-tapflow', + ], + }, + 'design-incremental-views/design-considerations', + 'design-incremental-views/monitor-view-tasks', + 'design-incremental-views/manage-task', ], }, + { + type: 'category', + label: 'Data Replication', + link: {type: 'doc', id: 'data-replication/README'}, + items: [ + 'data-replication/create-task', + 'data-replication/incremental-check', + 'data-replication/manage-task', + 'data-replication/monitor-task' + ] + }, + { + type: 'category', + label: 'Publish Data as APIs ', + link: {type: 'doc', id: 'publish-apis/README'}, + items:[ + 'publish-apis/manage-app', + 'publish-apis/create-api-service', + 'publish-apis/create-api-client', + 'publish-apis/create-api-server', + 'publish-apis/audit-api', + 'publish-apis/monitor-api-request', + 'publish-apis/api-auth', + 'publish-apis/query-via-restful', + 'publish-apis/query-via-graphql', + 'publish-apis/api-query-params', + ] + }, + { + type: 'category', + label: 'Chat with Data via MCP (Preview)', + link: {type: 'doc', id: 'mcp/README'}, + items: [ + 'mcp/introduction', + 'mcp/quick-start' + ] + }, { type: 'category', label: 'System Admin ', @@ -416,7 +431,8 @@ const sidebars = { 'appendix/support' ] }, - { + 'release-notes-on-prem', + /*{ type: 'category', label: 'Release Notes', link: {type: 'doc', id: 'release-notes/README'}, @@ -426,7 +442,7 @@ const sidebars = { 'release-notes/release-notes-community' ] }, - /*{ + { type: 'category', label: 'User Guide', link: {type: 'doc', id: 'user-guide/README'}, From 0a4b8317be0a7813697a2c2eb76acfe2a69b57b4 Mon Sep 17 00:00:00 2001 From: Walter Date: Mon, 21 Jul 2025 21:27:24 +0800 Subject: [PATCH 11/42] update api and odh --- docs/images/build_mv_in_mdm.png | Bin 0 -> 872 bytes docs/images/create_api_service.png | Bin 76264 -> 258080 bytes .../images/create_transformation_task_mdm.png | Bin 0 -> 14981 bytes docs/images/import_export_api.png | Bin 147709 -> 115635 bytes docs/images/obtain_access_token.png | Bin 170343 -> 290222 bytes docs/images/obtain_restful_address.png | Bin 92754 -> 184413 bytes docs/images/try_query_api.png | Bin 82411 -> 238159 bytes .../fdm-layer/explore-fdm-tables.md | 33 ++ .../mdm-layer/process-node.md | 381 ++++++++++++++++++ docs/operational-data-hub/set-up-odh.md | 1 + docs/publish-apis/api-auth.md | 9 +- docs/publish-apis/audit-api.md | 2 +- docs/publish-apis/create-api-client.md | 22 +- docs/publish-apis/create-api-service.md | 29 +- docs/publish-apis/query-via-graphql.md | 2 +- docs/publish-apis/query-via-restful.md | 57 +-- docs/release-notes-on-prem.md | 4 +- docs/tapflow/README.md | 2 +- sidebars.js | 62 +-- 19 files changed, 523 insertions(+), 81 deletions(-) create mode 100644 docs/images/build_mv_in_mdm.png create mode 100644 docs/images/create_transformation_task_mdm.png create mode 100644 docs/operational-data-hub/fdm-layer/explore-fdm-tables.md create mode 100644 docs/operational-data-hub/mdm-layer/process-node.md diff --git a/docs/images/build_mv_in_mdm.png b/docs/images/build_mv_in_mdm.png new file mode 100644 index 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Ta=%hV00000NkvXXu0mjfB_;|- diff --git a/docs/mcp/quick-start.md b/docs/mcp/quick-start.md index 1d231c9a..a01a7dab 100644 --- a/docs/mcp/quick-start.md +++ b/docs/mcp/quick-start.md @@ -8,7 +8,7 @@ This guide walks you through enabling the [MCP (Model Context Protocol) service] ## Prerequisites -- Requires Tapdata Enterprise or Community Edition to be [deployed](../getting-started/install.md). +- Requires Tapdata Enterprise or Community Edition to be [deployed](../backup-files/install.md). - You have an AI model service or tool that supports MCP with SSE protocol (e.g., Cursor or Trae). ## Step 1: Set Up User and Get Access Code diff --git a/docs/release-notes/release-notes-on-prem.md b/docs/release-notes/release-notes-on-prem.md index aa7ebb9b..3889dbe9 100644 --- a/docs/release-notes/release-notes-on-prem.md +++ b/docs/release-notes/release-notes-on-prem.md @@ -24,7 +24,7 @@ import TabItem from '@theme/TabItem'; - Added status monitoring for incremental log mining plugins in the [Cluster Management](../user-guide/manage-system/manage-cluster.md) module to improve observability and troubleshooting efficiency. - Support for [customizing alert email content](../user-guide/other-settings/notification.md#mail-alert), enhancing readability and flexibility of notifications. -- Support for importing/exporting [data verification task configurations](../user-guide/verify-data.md), making it easier to migrate or reuse configurations between test and production environments. +- Support for importing/exporting [data verification task configurations](../design-incremental-views/validate-views.md), making it easier to migrate or reuse configurations between test and production environments. ### Enhancements @@ -195,7 +195,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- In the **[Data Verification](../user-guide/verify-data.md)** task's advanced settings, a "**Custom Collate**" option has been added, allowing you to specify the sorting rules for both the source and target databases to ensure consistent character sorting during verification. +- In the **[Data Verification](../design-incremental-views/validate-views.md)** task's advanced settings, a "**Custom Collate**" option has been added, allowing you to specify the sorting rules for both the source and target databases to ensure consistent character sorting during verification. ### Enhancements @@ -380,7 +380,7 @@ import TabItem from '@theme/TabItem'; ### New Features -- [Data Verification](../user-guide/verify-data.md) feature now allows downloading detailed discrepancy data from the verification task details page for in-depth analysis. +- [Data Verification](../design-incremental-views/validate-views.md) feature now allows downloading detailed discrepancy data from the verification task details page for in-depth analysis. - Added a [Union Node](../user-guide/copy-data/process-node.md#union-node) to data replication tasks, enabling the merging (UNION) of multiple tables within the same database. This is useful for data integration and analysis scenarios. - [Doris](../connectors/warehouses-and-lake/doris.md) data source now supports certificate-free HTTPS connections. - MySQL, Oracle, OpenGauss, SQL Server, and PostgreSQL data sources now support enabling the **Hash Sharding** feature in the advanced settings of nodes during task configuration, significantly improving the full data sync speed for large tables. @@ -409,7 +409,7 @@ import TabItem from '@theme/TabItem'; ### New Features -* [Data Verification](../user-guide/verify-data.md) now includes differential data repair capabilities, enhancing data consistency and accuracy. +* [Data Verification](../design-incremental-views/validate-views.md) now includes differential data repair capabilities, enhancing data consistency and accuracy. * Added a new button for using CDC log Caching when creating [Live Cache](../user-guide/advanced-settings/share-cache.md), simplifying cache task configuration and improving the efficiency and flexibility of cache sharing. ### Enhancements @@ -440,7 +440,7 @@ import TabItem from '@theme/TabItem'; ### New Features * Enhanced [TiDB](../connectors/on-prem-databases/tidb.md) data source capabilities with support for real-time incremental synchronization. -* [Data Validation](../user-guide/verify-data.md) now supports automatic difference checking, allowing real-time tasks to automatically perform difference checks based on incremental delay. +* [Data Validation](../design-incremental-views/validate-views.md) now supports automatic difference checking, allowing real-time tasks to automatically perform difference checks based on incremental delay. ### Enhancements @@ -479,7 +479,7 @@ import TabItem from '@theme/TabItem'; * Added support for dynamically generating date suffixes for target table names when [configuring data transformation tasks](../user-guide/data-development/create-task.md#target-node-set), suitable for daily batch processing scenarios. * Added support for [integrating with third-party platforms via Webhook](../user-guide/other-settings/notification.md) to enable more alert notification channels. -* Added support for performing Hash validation between MySQL, Oracle, SQL Server, PostgreSQL, and GaussDB data sources when [configuring data validation tasks](../user-guide/verify-data.md), improving validation efficiency. +* Added support for performing Hash validation between MySQL, Oracle, SQL Server, PostgreSQL, and GaussDB data sources when [configuring data validation tasks](../design-incremental-views/validate-views.md), improving validation efficiency. * Added support for setting partitions when configuring Doris data sources. * Added support for the Oracle mode of OceanBase data sources, with the data source name OceanBase(Oracle). @@ -556,8 +556,8 @@ import TabItem from '@theme/TabItem'; ### New Features -* When [configuring data verification tasks](../user-guide/verify-data.md), custom filtering based on time fields is now available for MongoDB aggregation queries. -* Supported [hash verification](../user-guide/verify-data.md) for MySQL/Oracle homogeneous data source synchronization. +* When [configuring data verification tasks](../design-incremental-views/validate-views.md), custom filtering based on time fields is now available for MongoDB aggregation queries. +* Supported [hash verification](../design-incremental-views/validate-views.md) for MySQL/Oracle homogeneous data source synchronization. ### Bug Fixes @@ -647,7 +647,7 @@ import TabItem from '@theme/TabItem'; ### New Features - Supports loading table comments for [Oracle data sources](../connectors/on-prem-databases/oracle.md#advanced), which can be enabled in the advanced options during data source configuration, allowing quick identification of tables' business meanings through comments. -- Supports deployment of TapData on [Windows platform](../getting-started/install-and-setup/install-enterprise-edition/install-on-windows.md), further expanding the range of supported deployment platforms. +- Supports deployment of TapData on [Windows platform](../backup-files/install-enterprise-edition/install-on-windows.md), further expanding the range of supported deployment platforms. - In the task operation [monitoring page](../user-guide/copy-data/monitor-task.md), supports viewing RPS (Records Per Second) information based on the dimension of event size. ### Bug Fixes @@ -660,7 +660,7 @@ import TabItem from '@theme/TabItem'; ### Enhancements - Optimized [data source connections](../connectors/README.md), with MySQL, PostgreSQL, Kafka, TiDB, MariaDB, etc., supporting SSL connections to further enhance data security. -- Enhanced the filtering function of [data verification](../user-guide/verify-data.md), supporting custom query and aggregation query filtering through SQL. +- Enhanced the filtering function of [data verification](../design-incremental-views/validate-views.md), supporting custom query and aggregation query filtering through SQL. - Optimized interface interaction logic. - For non-primary key update conditions, created a unique index to solve the problem of data duplication. @@ -699,7 +699,7 @@ import TabItem from '@theme/TabItem'; ### Enhancements -- [Data verification](../user-guide/verify-data.md) feature field filtering experience optimization. +- [Data verification](../design-incremental-views/validate-views.md) feature field filtering experience optimization. - Supported quick node targeting at the top of the data replication/data transformation configuration page through node search. ## V3.5.2 @@ -755,7 +755,7 @@ import TabItem from '@theme/TabItem'; - [Kafka data source](../connectors/mq-and-middleware/kafka.md) now supports custom message body formats. - Added the [API interface documentation export feature](../user-guide/data-service/create-api-service.md#release330-export-api) to help teams quickly establish and enhance API usage documents. - Shared mining functionality supports [configuring task alerts](../user-guide/advanced-settings/share-mining.md#release330-alert), allowing alerts via system notifications or emails for better task monitoring. -- The [data validation function](../user-guide/verify-data.md) allows setting data filters, enabling validation of specific conditional data only, reducing validation scope and increasing efficiency. +- The [data validation function](../design-incremental-views/validate-views.md) allows setting data filters, enabling validation of specific conditional data only, reducing validation scope and increasing efficiency. - In data service platform mode, when dragging a data table to the platform cache layer to generate a task, it supports [setting the synchronization type of the task to be full or incremental](../user-guide/real-time-data-hub/daas-mode/create-daas-task.md#release330-task). ### Enhancements @@ -781,7 +781,7 @@ import TabItem from '@theme/TabItem'; - In the data platform mode, it can directly [display the relationship of table-level traceability](../user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md#release320-daas), helping you to visually show the link relationship of data tables. - In the data platform mode, it supports [deleting tables from the platform processing layer](../user-guide/real-time-data-hub/daas-mode/daas-mode-dashboard.md#release320-daas). - When configuring the target node of a task, it supports [adjusting field length by a coefficient](../user-guide/copy-data/create-task.md#release320-col-length) to avoid data write failures due to different character encodings. -- [Data verification](../user-guide/verify-data.md) feature supports SelectDB data source. +- [Data verification](../design-incremental-views/validate-views.md) feature supports SelectDB data source. - In scenarios where Redis is the target node, and data is stored in List or Hash format with a single key, it [supports writing the source table schema into a Hash key](../case-practices/pipeline-tutorial/mysql-to-redis.md) (default name is `-schema-key-`). The value is used to store the source table's table name and column name information. - Added [**type filter**](../user-guide/data-development/process-node.md#release320-type-filter) processing node, which can quickly filter columns of the same type. Filtered fields will not be passed to the next node. - **Field editing** processing node supports conversion between snake_case and camelCase naming. @@ -826,8 +826,8 @@ import TabItem from '@theme/TabItem'; - Shared mining task management improved, supporting [starting/stopping mining tasks for individual tables](../user-guide/advanced-settings/share-mining.md#release310-share-mining). - [Shared cache](../user-guide/advanced-settings/share-cache.md), [functions](../user-guide/advanced-settings/manage-function.md), [API data services](../user-guide/data-service/create-api-service.md) support import/export functions. -- [Data verification](../user-guide/verify-data.md) supports configuring alert rules and notification methods. -- Auto-fill table logic for [data verification](../user-guide/verify-data.md) has been optimized. +- [Data verification](../design-incremental-views/validate-views.md) supports configuring alert rules and notification methods. +- Auto-fill table logic for [data verification](../design-incremental-views/validate-views.md) has been optimized. - Frontend added explanations for the distinction between [standard JS](appendix/standard-js.md) and [enhanced JS](appendix/enhanced-js.md). - JS processor standardization, JS usage, and trial run have been restructured. - In all processing nodes supporting JS scripting, typing `record.` automatically prompts for the current model's field names. diff --git a/docs/user-guide/advanced-settings/share-mining.md b/docs/user-guide/advanced-settings/share-mining.md index 1c9f2a2c..c93b60cc 100644 --- a/docs/user-guide/advanced-settings/share-mining.md +++ b/docs/user-guide/advanced-settings/share-mining.md @@ -14,7 +14,7 @@ You can enable CDC Log Cache when [creating a connection](../../connectors/READM ## Use CDC Log Cache -Create a data transformation or data replication task. When the task contains incremental tasks and the data source has cached the CDC logs, you can use this feature in the task settings. For more introductions about task configuration, see [create data replication/transformation task](../../getting-started/create-task.md). +Create a data transformation or data replication task. When the task contains incremental tasks and the data source has cached the CDC logs, you can use this feature in the task settings. For more introductions about task configuration, see [create data replication/transformation task](../../backup-files/create-task.md). ![](../../images/create_shared_mining.png) diff --git a/docs/user-guide/copy-data/create-task.md b/docs/user-guide/copy-data/create-task.md index 486f1a3c..068c6156 100644 --- a/docs/user-guide/copy-data/create-task.md +++ b/docs/user-guide/copy-data/create-task.md @@ -12,7 +12,7 @@ This article explains the specific data replication process to help you quickly Before you create a data replication task, you need to perform the following preparations: -* [Install TapData](../../getting-started/install.md) +* [Install TapData](../../backup-files/install.md) * [Connect to a Data Source](../../getting-started/connect-data-source.md) ## Procedure diff --git a/docs/user-guide/log-in.md b/docs/user-guide/log-in.md index 17ddf5bd..f2a4c7ff 100644 --- a/docs/user-guide/log-in.md +++ b/docs/user-guide/log-in.md @@ -13,7 +13,7 @@ TapData Cloud is ideal for scenarios requiring quick deployment and low initial ## TapData Enterprise -TapData Enterprise supports deployment to local data centers and is suitable for scenarios with strict requirements on data sensitivity or network isolation. The TapData Enterprise platform is set up by administrators [following deployment steps](../getting-started/install-and-setup/install-enterprise-edition/README.md), who then [assign accounts](../user-guide/manage-system/manage-user.md) and [grant permissions](../user-guide/manage-system/manage-role.md) based on business needs for users within the enterprise. Regular users need to contact their administrators to obtain the login URL and credentials. +TapData Enterprise supports deployment to local data centers and is suitable for scenarios with strict requirements on data sensitivity or network isolation. The TapData Enterprise platform is set up by administrators [following deployment steps](../backup-files/install-enterprise-edition/README.md), who then [assign accounts](../user-guide/manage-system/manage-user.md) and [grant permissions](../user-guide/manage-system/manage-role.md) based on business needs for users within the enterprise. Regular users need to contact their administrators to obtain the login URL and credentials. ![Log in to TapData Enterprise](../images/login-on-prem.png) diff --git a/docs/user-guide/verify-data.md b/docs/user-guide/verify-data.md deleted file mode 100644 index 65523320..00000000 --- a/docs/user-guide/verify-data.md +++ /dev/null @@ -1,91 +0,0 @@ -# Data Validation - -import Content from '../reuse-content/_all-features.md'; - - - -Leveraging various proprietary technologies, TapData ensures maximum data consistency. In addition, TapData supports data table validation to further verify and ensure the correctness of data flow, meeting the stringent requirements of production environments. This document introduces the configuration process for data validation tasks. - -```mdx-code-block -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; -``` - -## Procedure - -1. [Log in to TapData Platform](log-in.md). - -2. In the left navigation bar, click **Data Validation**. - -3. In the upper right corner of the page, click **Task Consistency Validation** or **Any Table Data Validation** based on your validation target, then fill in the parameters as described below: - - -```mdx-code-block - - -``` -![Setting validation Task](../images/check_data_settings.png) - -- **Choose Job**: Choose the data replication/data transformation task to verify. -- **Verify Task Name**: Enter a meaningful name for the task. -- **Type**: Currently, the following three validation methods are supported. If the field names in the table have been modified during synchronization, executing **All Fields Validation** or **Associated FieldsValidation** may fail due to field name mismatches. - - **Count Validation**: Verifies the row count of the source and target tables without displaying specific difference content, very fast. - - **Full Fields Validation**: Verifies the values of all fields in the source and target tables row by row, displaying the difference content of all fields, slower. - - **Associated Fields Validation**: Only validates the values of associated fields in the source and target tables. The associated fields must have a sortable index, resulting in moderate performance. - - **Hash Validation**: Currently does not support Verify data between heterogeneous databases. -- **Advanced Configuration**: Click on advanced configuration to unfold more configuration options: - - **Result Output**: Choose **Output all inconsistent data** or **Only output inconsistent data from the source table**. - - **Validation Task Alert**: Choose the rule configuration and notification method for alarms when the task runs into errors or the validation results are inconsistent. - - **Validation Frequency**: Default is **Single**. If **Repeated** is chosen, you also need to set the start and end time of the validation and the interval between tasks. - - **Error**: The maximum number of inconsistent data records to save, default is 100, maximum is 10000. It's recommended to set a larger value to ensure completeness of records. - - **Validation Conditions**: By default, TapData automatically loads the source/target data tables from the data replication/development tasks. Additionally, you can turn on the **Data Filter** switch to only verify specific condition data to reduce the validation scale (custom query and aggregate query filtering can be implemented via SQL). Moreover, you can add JS validation logic through advanced validation. - - - - - -![Setting validation Task](../images/check_data_settings_2.png) - - - -- **Validation Name**: Enter a meaningful name for the task. -- **Type**: Currently, the following three validation methods are supported. - - **Count Validation**: Verifies the row count of the source and target tables without displaying specific difference content, very fast. - - **All Fields Validation**: Verifies the values of all fields in the source and target tables row by row, displaying the difference content of all fields, slower. - - **Associated Fields Validation**: Only validates the values of associated fields in the source and target tables. The associated fields must have a sortable index, resulting in moderate performance. - - **Hash Validation**: Currently does not support Verify data between heterogeneous databases. -- **Advanced Configuration**: Click on advanced configuration to unfold more configuration options: - - **Result Output**: Choose **Output all inconsistent data** or **Only output inconsistent data from the source table**. - - **validation Task Alarm**: Choose the rule configuration and notification method for alarms when the task runs into errors or the validation results are inconsistent. -- **validation Frequency**: Default is **Single**. If **Repeated** is chosen, you also need to set the start and end time of the validation and the interval between tasks. -- **Error**: The maximum number of inconsistent data records to save, default is 100, maximum is 10000. It's recommended to set a larger value to ensure completeness of records. -- **Validation Conditions**: Click **Add Table** to manually specify the validation source/target data connections, tables to be verified, index fields, and validation model. Additionally, you can turn on the **Data Filter** switch to only verify specific condition data to reduce the validation scale (custom query and aggregate query filtering can be implemented via SQL). Moreover, you can add JS validation logic through advanced validation. - If you need to verify multiple tables, click **Add Table** to continue adding validation conditions. - - - - - -4. Click **Save**. After returning to the task list, click **Execute** for the target validation task. - -5. (Optional) Click on **Result** for the verification task to view detailed verification results. For discrepancies, you can click **Data Correction** to align the data or **Download** for in-depth analysis. - - ![View validation Results](../images/check_data_result_en.png) - - :::tip - - When the validation type is **Full Fields Validation** or **Associated Fields Validation**, you can also click **Diff verification** in the upper right corner to re-verify the difference data results of this full validation to confirm whether the data has become consistent. - - ::: - -6. *(Optional)* On the data verification task list page, you can import and export task configurations—useful for migrating or reusing configurations between test and production environments. - - - -## Common Issues - -For troubleshooting methods regarding failed validation tasks or inconsistent validation data, see [Common Questions on Data validation](../faq/data-pipeline.md#check-data). - -## See also - -[Incremental Data Validation](incremental-check.md) \ No newline at end of file diff --git a/docs/user-guide/workshop.md b/docs/user-guide/workshop.md index 55841a12..a1cee385 100644 --- a/docs/user-guide/workshop.md +++ b/docs/user-guide/workshop.md @@ -65,4 +65,4 @@ Just 3 simple steps to experience the powerful and convenient data flow capabili * [Install TapData](../getting-started/install-and-setup/README.md) * [Connect to a Database](../getting-started/connect-data-source.md) -* [Create a Data Pipeline](../getting-started/create-task.md) +* [Create a Data Pipeline](../backup-files/create-task.md) diff --git a/docs/what-is-tapdata.md b/docs/what-is-tapdata.md index cc26497c..bc84e782 100644 --- a/docs/what-is-tapdata.md +++ b/docs/what-is-tapdata.md @@ -18,7 +18,7 @@ Compared to traditional data migration/synchronization tools, TapData offers a f Supports mainstream databases, including commercial databases, open-source databases, cloud databases, SaaS platform data sources, file data sources, and allows for custom data sources. -* **[Reliable Data Consistency](user-guide/verify-data.md)** +* **[Reliable Data Consistency](design-incremental-views/validate-views.md)** Ensures high consistency between target data and source data through various proprietary technologies, supports multiple verification methods, and meets the stringent requirements of production environments. diff --git a/sidebars.js b/sidebars.js index b15c978a..f15a89ca 100644 --- a/sidebars.js +++ b/sidebars.js @@ -294,7 +294,6 @@ const sidebars = { ] }, 'user-guide/incremental-check', - 'user-guide/verify-data', 'user-guide/pre-check', { type: 'category', From 061eebd710167c15c95c09acbd24d2793125ab22 Mon Sep 17 00:00:00 2001 From: Walter Date: Sat, 5 Jul 2025 21:01:56 +0800 Subject: [PATCH 03/42] update design imv --- docs/administration/operation.md | 2 +- .../create-views/README.md | 21 --- .../create-views/using-data-pipeline-ui.md | 158 +++++++++++++++++- .../create-views/using-imv-guide.md | 142 ++++++++++------ .../create-views/using-tapflow.md | 9 +- .../monitor-view-tasks.md | 75 ++++++++- docs/design-incremental-views/overview.md | 49 +++++- docs/faq/use-product.md | 6 +- docs/getting-started/README.md | 34 +++- docs/images/add_order_items_to_main_table.png | Bin 0 -> 114725 bytes docs/images/add_products_to_order_item.png | Bin 0 -> 160309 bytes docs/images/add_tables_to_canvas.png | Bin 0 -> 157965 bytes docs/images/add_user_info_to_main_table.png | Bin 0 -> 214074 bytes .../images/connect_tables_with_merge_node.png | Bin 0 -> 63769 bytes docs/images/design_imv_table_relations.png | Bin 0 -> 168933 bytes docs/images/drag_user_on_orders.png | Bin 0 -> 161063 bytes docs/images/join_order_items_and_order.png | Bin 0 -> 268206 bytes docs/images/join_users_and_orders.png | Bin 0 -> 246353 bytes docs/images/orders_enhanced_IMV_task.png | Bin 0 -> 260868 bytes docs/images/set_targe_mongodb.png | Bin 0 -> 335137 bytes docs/introduction/compare-editions.md | 6 +- docs/introduction/use-cases.md | 2 +- docs/mcp/introduction.md | 2 +- .../data-service => publish-apis}/README.md | 2 +- .../data-service => publish-apis}/api-auth.md | 2 +- .../api-query-params.md | 4 +- .../audit-api.md | 8 +- .../create-api-client.md | 6 +- .../create-api-server.md | 6 +- .../create-api-service.md | 10 +- .../manage-app.md | 8 +- .../monitor-api-request.md | 6 +- .../query-via-graphql.md | 16 +- .../query-via-restful.md | 14 +- docs/release-notes/release-notes-on-prem.md | 14 +- .../build-real-time-wide-table.md | 2 +- sidebars.js | 38 ++--- 37 files changed, 485 insertions(+), 157 deletions(-) create mode 100644 docs/images/add_order_items_to_main_table.png create mode 100644 docs/images/add_products_to_order_item.png create mode 100644 docs/images/add_tables_to_canvas.png create mode 100644 docs/images/add_user_info_to_main_table.png create mode 100644 docs/images/connect_tables_with_merge_node.png create mode 100644 docs/images/design_imv_table_relations.png create mode 100644 docs/images/drag_user_on_orders.png create mode 100644 docs/images/join_order_items_and_order.png create mode 100644 docs/images/join_users_and_orders.png create mode 100644 docs/images/orders_enhanced_IMV_task.png create mode 100644 docs/images/set_targe_mongodb.png rename docs/{user-guide/data-service => publish-apis}/README.md (95%) rename docs/{user-guide/data-service => publish-apis}/api-auth.md (97%) rename docs/{user-guide/data-service => publish-apis}/api-query-params.md (98%) rename docs/{user-guide/data-service => publish-apis}/audit-api.md (77%) rename docs/{user-guide/data-service => publish-apis}/create-api-client.md (83%) rename docs/{user-guide/data-service => publish-apis}/create-api-server.md (80%) rename docs/{user-guide/data-service => publish-apis}/create-api-service.md (90%) rename docs/{user-guide/data-service => publish-apis}/manage-app.md (82%) rename docs/{user-guide/data-service => publish-apis}/monitor-api-request.md (81%) rename docs/{user-guide/data-service => publish-apis}/query-via-graphql.md (81%) rename docs/{user-guide/data-service => publish-apis}/query-via-restful.md (80%) diff --git a/docs/administration/operation.md b/docs/administration/operation.md index 84b79c69..f35e0cbd 100644 --- a/docs/administration/operation.md +++ b/docs/administration/operation.md @@ -378,7 +378,7 @@ Common high-risk operations include: a data replication task is used for scenarios that only synchronize incremental data, i.e., retaining target table data, if the target table's data scale is large, the synchronization index operation may affect the overall performance of the target database. * **Setting update condition fields**: If there is no index on the target, an index will be created based on the update condition fields. * **Task Agent settings**: In the task settings in the upper right corner, if an Agent is manually specified, this configuration item will remain unchanged when the task is copied, which may cause excessive pressure on a single Agent. It is recommended to set it to **Automatically assigned by the platform**. -* [Data Services](../user-guide/data-service/README.md) +* [Data Services](../publish-apis/README.md) * Deleting or taking an API offline will render it unavailable. * [System Management](../user-guide/manage-system/README.md) * When [managing a cluster](../user-guide/manage-system/manage-cluster.md), only perform close or restart operations on related services when they are experiencing anomalies. \ No newline at end of file diff --git a/docs/design-incremental-views/create-views/README.md b/docs/design-incremental-views/create-views/README.md index 84b4036c..0caaeea5 100644 --- a/docs/design-incremental-views/create-views/README.md +++ b/docs/design-incremental-views/create-views/README.md @@ -2,27 +2,6 @@ This section shows you how to use TapData to build **Incremental Materialized Views (IMV)**—real-time, high-performance analytics tables that combine data from multiple sources to speed up your insights and decision-making. -## Why Use Incremental Materialized Views? - -Imagine you're a data analyst at an e-commerce company. You need to quickly identify **high-value transactions over $300 in Q1 2025** and understand customer membership levels and regions to drive targeted marketing—like sending special coupons or offering tier upgrades to boost retention and sales. - -In traditional databases, you'd have to run complex multi-table JOINs between your orders and users tables. When data volumes are large, these queries can be slow and put pressure on production systems. IT might even ask you to run them during off-peak hours—slowing down your entire analysis workflow and limiting your team's agility. - -With **TapData’s real-time materialized views**, you can automatically join your orders and users tables into a single, always-up-to-date view synced to MongoDB. Your BI tools or APIs can query this single, denormalized table to get the latest data instantly—no complex SQL, no load on your operational systems. It's fast, scalable, and designed for real-time analytics. - -## How to Create Incremental Materialized Views - -TapData offers multiple ways to build IMVs, so you can choose what best fits your workflow: - -- **IMV Guide** – A step-by-step wizard to get started quickly. -- **Data Pipeline UI** – A visual, drag-and-drop interface for flexible design. -- **TapFlow** – Developer-friendly orchestration and automation for advanced use cases. - -Pick the approach that works for you, and start building analytics-ready views with ease! - - - import DocCardList from '@theme/DocCardList'; - diff --git a/docs/design-incremental-views/create-views/using-data-pipeline-ui.md b/docs/design-incremental-views/create-views/using-data-pipeline-ui.md index 283e8d9f..8480fb7e 100644 --- a/docs/design-incremental-views/create-views/using-data-pipeline-ui.md +++ b/docs/design-incremental-views/create-views/using-data-pipeline-ui.md @@ -1 +1,157 @@ -# Using Data Pipeline UI \ No newline at end of file +# Build View with Data Pipeline + +Use TapData’s Data Pipeline to build real-time, incremental materialized views with flexible, visual workflows—perfect for adding rich processing steps and custom transformations. + +:::tip +This guide expands on the example in [Design Incremental Materialized Views](../overview.md) and shows you how to build it using the visual Data Pipeline. +::: + +TapData’s Data Pipeline also supports rich processing nodes between your source and target. You can add steps for field renaming, row filtering, and more—all without writing complex SQL or maintaining separate ETL jobs. + +## Prerequisites + +Make sure you have already connected your **source MySQL database** and **target MongoDB database** in TapData. + +If you haven’t set them up yet, see [Connect Data Sources](../../getting-started/connect-data-source.md). + +## Procedure + +Follow these steps to design an advanced real-time view with nested user profiles and detailed order items. + +1. [Log in to TapData Platform](../../user-guide/log-in.md). + +2. In the left navigation panel, go to **Data Transformation** and open **Data Pipeline**. + +3. Add source nodes to the canvas. + + 1. Drag your source MySQL connection onto the canvas and choose **orders** as the main table. + + 2. Repeat this step to add **users**, **order_items**, and **products** as separate nodes. + + ![Add all tables to canvas](../../images/add_tables_to_canvas.png) + +4. Set up the join logic. + + 1. Drag a Master-Slave Merge node onto the canvas. + + 2. Connect the **orders** node and all other source nodes to this merge node to define their relationships. + + ![Connect tables with merge node](../../images/connect_tables_with_merge_node.png) + +5. Embed the user profile. + + 1. Drag the **users** node onto the **orders** node. + + ![drag_user_on_orders](../../images/drag_user_on_orders.png) + + 2. Choose Document as the embed type, then set the field path to `user_info` and map the join key to `user_id`. + + ![Join users and orders](../../images/join_users_and_orders.png) + + :::tip + + Document embedding nests the entire user record inside each order. This is ideal for marketing segmentation and analysis without separate lookups. + + ::: + +6. Include order items as an array. + + 1. Drag the **order_items** node onto the **orders** node. + + 2. Choose **Array** as the embed type, then set the field path to `product_items` and map the join key to `order_id`. + + ![Join order_items and orders](../../images/join_order_items_and_order.png) + + :::tip + + Arrays allow you to store all order items as a single field in the order document—perfect for representing one-to-many relationships natively. + + ::: + +7. Enrich **order_items** with product details. + + 1. Drag the **products** node onto the **order_items** table. + + 2. Choose **Document** or **Flatten** depending on your data structure. + + 3. Map the join key to `product_id` so product details are included in each order item. + + Document nests the product data as an object, while **Flatten** merges product fields directly into order items—choose the style that fits your target schema. + +8. Configure the target output. + + 1. Drag your target MongoDB connection onto the canvas. + + 2. Connect the Master-Slave Merge node to the MongoDB target. + + 3. Select the target collection or enter a custom name. TapData will create it automatically if it doesn’t exist. + + 4. Specify the **update key** to enable upsert behavior and automatic index creation. + + ![Set target MongoDB](../../images/set_targe_mongodb.png) + + Optional settings include: + + - **Initial load behavior**: Clear existing data or append to it. + - **Batch size** and **max wait time**: Fine-tune performance for large loads. + - **Multithreaded writes**: Configure for higher throughput in full or incremental sync. + +9. Click **Start** to launch the real-time materialized view. + + Once running, monitor throughput, latency, and event processing stats in real time. + + ![View task](../../images/orders_enhanced_IMV_task.png) + + + +## Verify Results + +Once your task is running, log in to your target MongoDB to explore the new view. Here’s an example document illustrating the nested structure: + +```javascript +{ + _id: ObjectId('6868d470d9b9cd512feb6b69'), + order_id: 'o2001', + order_amount: Decimal128('759.97'), + order_status: 'PAID', + order_time: 2025-01-02T10:00:00.000Z, + payment_method: 'CREDIT_CARD', + user_id: 'u001', + product_items: [ + { + quantity: 1, + item_id: 'i3001', + product_id: 'p101', + order_id: 'o2001', + category: 'Electronics', + product_name: 'Smartphone', + unit_price: Decimal128('699.99') + }, + { + quantity: 2, + item_id: 'i3002', + product_id: 'p102', + order_id: 'o2001', + category: 'Accessories', + product_name: 'Phone Case', + unit_price: Decimal128('29.99') + } + ], + user_info: { + city: 'New York', + country: 'USA', + signup_time: 2024-12-20T12:00:00.000Z, + user_id: 'u001', + user_level: 'GOLD', + user_name: 'Alice' + } +} +``` + +This structure is analysis-ready, API-friendly, and tailored for real-time use. Analysts can easily filter and aggregate orders, marketing can segment by user attributes, and developers can serve complete order details in a single API response without expensive joins. + +## What’s Next? + +- **Monitor your task** to track throughput and latency in real time. +- **Validate data accuracy** using built-in tools or source queries. +- **Publish the view as an API** so other teams or systems can consume fresh, structured order data via REST or GraphQL. \ No newline at end of file diff --git a/docs/design-incremental-views/create-views/using-imv-guide.md b/docs/design-incremental-views/create-views/using-imv-guide.md index 6cb598be..3e18c835 100644 --- a/docs/design-incremental-views/create-views/using-imv-guide.md +++ b/docs/design-incremental-views/create-views/using-imv-guide.md @@ -1,14 +1,14 @@ -# Create Views with Guide +# Build View with IMV Guide import Content from '../../reuse-content/_all-features.md'; -The Guide helps you quickly create an **Incremental Materialized View (IMV)** by walking you through each step. It’s the easiest way to join source tables into one analysis-friendly view without writing complex SQL. +Use TapData’s IMV Guide to design real-time, incremental materialized views that deliver analysis-ready data without complex SQL or heavy ETL. Ideal for BI dashboards, marketing analytics, and API integrations—all with a simple, no-code experience. :::tip -Need more background on why IMVs help with real-time analytics and avoiding heavy database joins? Check out **Create Views Overview**. +This step-by-step guide builds on the real-world ecommerce scenario described in [Design Incremental Materialized Views](../overview.md) and shows you how to implement it with the IMV Guide. ::: @@ -16,80 +16,120 @@ Need more background on why IMVs help with real-time analytics and avoiding heav Make sure you have already connected your **source MySQL database** and **target MongoDB database** in TapData. -If you haven't set up these connections yet, see [Connect Data Sources](../../getting-started/connect-data-source.md) for detailed instructions. +If you haven’t set them up yet, see [Connect Data Sources](../../getting-started/connect-data-source.md). ## Procedure -1. [Log in to the TapData Platform](../../log-in.md). +Follow these steps to design your advanced real-time view with nested user profiles and detailed order items. + +1. [Log in to TapData Platform](../../user-guide/log-in.md). 2. In the left navigation panel, go to **Data Transformation**. 3. Click **Build Materialized View** to open the configuration workspace. - 1. Select your main source table. +4. **Select your main source table.** + For this scenario, choose **orders** as your primary data source. This is the top-level collection we’ll enrich with user and item details. - For this example, choose the **orders** table as your primary data source. + ![Select main table](../../images/select_main_table.png) - ![Select main table](../../images/select_main_table.png) +5. Add User Profile as Embedded Document. + To bring in rich user details: - 2. To bring in related user details, click **+ Add Field** and choose **Flatten**. + - Click **+ Add Field** and choose **Embedded Document**. + - Enter a field name (e.g., `user_info`) for the embedded object in your main document. + - In the field editor, choose the **users** table and set the join condition on `user_id`. - 3. In the field editor, pick the database and table you want to join. Set the join condition by selecting the key column. In this example, link the **users** table using **user_id**. + Once configured, you’ll see `user_info` added on the right with all user fields nested. This preserves the full user profile in the order document—ideal for marketing or segmentation. - Once configured, the **orders** table will include user information as part of each record. + ![Add user_info to main table](../../images/add_user_info_to_main_table.png) - ![Add fields](../../images/add_columns.png) +6. Combine Order Items with Product Details as an Embedded Array. -4. Click **+ Write Target** in the top-right corner. Choose your MongoDB connection and enter a collection name where the view data will be stored. + Now let’s link detailed line items: - On the right, you can preview field mappings and data types for the target collection (for example, **order_view**). + 1. In the main **orders** section, click **+ Add Field** and choose **Embedded Array**. - ![Select target table](../../images/select_view_write_target.png) + 2. Enter a field name (e.g., `product_items`) for the array. -5. When you’re ready, click **Start** in the top-right to launch your real-time materialized view. + 3. In the editor, choose the **order_items** table and set the join on `order_id`. - After starting, you’ll be redirected to the task monitoring page, where you can track metrics such as records per second (RPS), latency, and event counts. + ![Add orders table to main table](../../images/add_order_items_to_main_table.png) - ![View task](../../images/monitor_view_task.png) + This aggregates all related items for each order as an array—perfect for one-to-many detail. + 4. Still within the **order_items** node, click **+ Add Field** and choose **Flatten**. + 5. Select the **products** table and join on `product_id`. -## Verify Results + ![Add products to order_items table](../../images/add_products_to_order_item.png) -Once your view is running, you can verify that the data looks as expected. - -**Example: MySQL Source Query** - -Here’s how you might query your source MySQL database to join orders and users: - -```sql -SELECT - o.order_id, - o.user_id, - o.order_amount, - o.order_time, - u.user_name, - u.user_level, - u.country, - u.city -FROM - orders o -JOIN - users u ON o.user_id = u.user_id -WHERE - o.order_time BETWEEN '2025-01-01' AND '2025-03-31' - AND o.order_amount >= 300; -``` + This step enriches each item with product details like name, category, and unit price. + + Once complete, the right-side preview shows a fully nested order record with `user_info` and an array of enriched `product_items`. + +7. Configure Target Output. + + 1. Click **+ Write Target** in the top right. + + 2. Select your MongoDB connection, then enter a target collection name (e.g., `orders_advanced_imv`). -**Example: Querying the MongoDB View** + The preview on the right shows field mappings and types for the target collection. -After building the Incremental Materialized View, the same data is flattened and always up-to-date in MongoDB. You can verify it with a simple query: +8. Click **Start** in the top right to start your real-time materialized view. -```javascript -db.order_flat_view.find({ - order_time: { $gte: ISODate("2025-01-01"), $lte: ISODate("2025-03-31") }, - order_amount: { $gte: 300 } -}) + After launch, you’ll see the task in the monitoring page with stats like records per second (RPS), latency, and processed event counts. + + ![View task](../../images/orders_enhanced_IMV_task.png) + +## Verify Results + +Once your task is running, log in to your target MongoDB to explore the new view. Here’s an example document illustrating the nested structure: + +```json +{ + _id: ObjectId('6868d470d9b9cd512feb6b69'), + order_id: 'o2001', + order_amount: Decimal128('759.97'), + order_status: 'PAID', + order_time: 2025-01-02T10:00:00.000Z, + payment_method: 'CREDIT_CARD', + user_id: 'u001', + product_items: [ + { + quantity: 1, + item_id: 'i3001', + product_id: 'p101', + order_id: 'o2001', + category: 'Electronics', + product_name: 'Smartphone', + unit_price: Decimal128('699.99') + }, + { + quantity: 2, + item_id: 'i3002', + product_id: 'p102', + order_id: 'o2001', + category: 'Accessories', + product_name: 'Phone Case', + unit_price: Decimal128('29.99') + } + ], + user_info: { + city: 'New York', + country: 'USA', + signup_time: 2024-12-20T12:00:00.000Z, + user_id: 'u001', + user_level: 'GOLD', + user_name: 'Alice' + } +} ``` -The MongoDB collection includes all selected fields—like order details and user information—in a single, analysis-friendly document. This makes it easy to use in BI dashboards, APIs, or data pipelines without writing complex joins. \ No newline at end of file +This structure is analysis-ready, API-friendly, and tailored for real-time use. Analysts can easily filter and aggregate orders, marketing can segment by user attributes, and developers can serve complete order details in a single API response without expensive joins. + +## What’s Next? + +- **Monitor your task** to track throughput and latency in real time. +- **Validate data accuracy** using built-in tools or source queries. +- **Publish the view as an API** so other teams or systems can consume fresh, structured order data via REST or GraphQL. \ No newline at end of file diff --git a/docs/design-incremental-views/create-views/using-tapflow.md b/docs/design-incremental-views/create-views/using-tapflow.md index 658d5821..f5ee81c0 100644 --- a/docs/design-incremental-views/create-views/using-tapflow.md +++ b/docs/design-incremental-views/create-views/using-tapflow.md @@ -1 +1,8 @@ -# Using TapFlow--TBD \ No newline at end of file +# Build View with TapFlow + +Use TapData’s TapFlow to build real-time, incremental materialized views with full code-level control—ideal for automation, advanced configurations, and developer workflows. + +:::tip +This approach extends the scenario in [Design Incremental Materialized Views](../overview.md) and shows you how to implement it programmatically with TapFlow. + +::: \ No newline at end of file diff --git a/docs/design-incremental-views/monitor-view-tasks.md b/docs/design-incremental-views/monitor-view-tasks.md index 2860a9c4..1826bf33 100644 --- a/docs/design-incremental-views/monitor-view-tasks.md +++ b/docs/design-incremental-views/monitor-view-tasks.md @@ -1 +1,74 @@ -# Monitor View Tasks \ No newline at end of file +# Monitor Data Transformation Task + +import Content from '../reuse-content/_all-features.md'; + + + +Once the data transformation task is started, the page will automatically redirect to the task monitoring page. From there, you can monitor the task's operation details, such as the status of the Agent, data synchronization progress, task progress, alert settings, and other relevant information. + +:::tip + +By clicking the **monitor** button on the task list page, you can access the monitoring page as well. + +::: + +![](../images/monitor_copy_task_overview.png) + + + +## ① Top Control Bar + +You can rename the task, view its start time, and check the Agent status, which includes the following information: + +* **CPU Usage**: The CPU usage of the engine process as a proportion of the total CPU usage of the system. +* **Memory Usage**: Used / Memory Max +* **GC Throughput**: (Engine Cumulative Run Time - GC Time)/Engine Cumulative Run Time * 100% + + + +## ② Task Indicators Display Bar + +Displaying basic information and key monitoring indicators of the task, including synchronization information, task verification information, performance indicators, and task time statistics. + +* **Task Checksumming**: Will only be displayed if the task has checksum enabled. You can click to view checksum details if any anomalies are found. +* **RPS**: The average number of input and output records processed by the task per second. It supports viewing based on the dimensions of event count or size. +* **Incremental Delay**: The delay is calculated as the time it takes for an event generated in the source database to be processed and written to the target by the task. When there are multiple targets, only the maximum incremental delay time is considered, measured in milliseconds. +* **Task Event Statistics**: Statistics of all cumulative events after the operation of the task should be analyzed with the following precautions in mind. + * **Update**: If the target database already exists when performing an insertion event, it will be treated as an update event. This behavior is determined by the write policy, which is configured to update when the target already exists. + * **DDL** + * TapData directly creates a table on the target based on deduction results, so DDL (Data Definition Language) events of the table cannot be tracked or counted at the source. + * If the target is a database type that does not require explicit table creation, such as MongoDB, the table-building events on the target side are not counted or considered as part of the synchronization process. + * DDL events for **drop table** and **create table** are counted if the target duplicate processing policy is set to **clear target structure and data**. + + + +## ③ Node Information Display Area + +Hover your mouse pointer over a node to display key metrics for that node, and click the ![](../images/node_more_icon.png) icon in the bottom right corner of the node to see more details. + +- **Full Sync Progress**: The progress report on the full data synchronization. +- **Incremental Data Synchronization**: The incremental log collection time point is represented as the relative time of (engine time - incremental time point of the node) in the floating window when hovering the mouse. +- **Writing time**: The time it takes for data to be written to the target. +- **RPS**: RPS (Records Per Second) measures the speed and performance of data transfer by indicating the number of records processed each second. +- **Cumulative Input Events**: The number of events received by the node from the previous node or source database. +- **Cumulative Output Events**: The number of events sent by the node to the next node or target database. +- **Processing time**: The processing time for the node to process data. + + + +## ④ Task Log Display Area + +Click the ![](../images/view_log_icon.png) icon at the top of the page, then you can view the progress, logs, alert list, and associated task information for a task run. You can filter the logs using keywords, periods, and levels, or download them for local analysis on the **Log** tab. + + + +## ⑤ Task/Alert Setting Area + +Click the ![](../images/task_setting_icon.png) icon at the top of the page, which displays the task settings (not modifiable) and alert settings, you can set the alert rules: + +* Task running error alert +* Notice of full completion of tasks +* Task increment start notification +* Task stop alert +* Task increment delay alert + diff --git a/docs/design-incremental-views/overview.md b/docs/design-incremental-views/overview.md index 05259678..a124b925 100644 --- a/docs/design-incremental-views/overview.md +++ b/docs/design-incremental-views/overview.md @@ -1 +1,48 @@ -# Overview--TBD \ No newline at end of file +# Overview + +This section will help you design real-time Incremental Materialized Views (IMVs) in TapData—tailored to your downstream use cases. You'll learn how to choose the right data structure for your needs, whether that's a flat table, embedded documents, or nested arrays, ensuring your data is clean, consistent, and ready to drive modern analytics and APIs. + +## Background + +In the **Getting Started** section, you learned how to quickly join your orders and users tables to build a simple, real-time view that helps analysts identify high-value customers and power marketing activities like coupons and loyalty programs. + +However, in real-world e-commerce environments, data requirements are rarely so simple. Different teams often need richer, more flexible insights from the same dataset: + +- **Analysts and marketing teams** want to segment customers by value, region, or product preferences without relying on complex SQL. +- **BI and reporting teams** need detailed transaction-level data to analyze order quantities, categories, and product bundles. +- **Developers and data engineers** are looking for ways to simplify ETL pipelines and API integrations, while keeping production systems performant. + +![Tables Relationship](../images/design_imv_table_relations.png) + +To support these diverse use cases, we’ll extend our earlier example and design a more advanced, business-ready view that combines multiple data sources: + +- Embedded user profiles to preserve full customer details in each record. +- Nested arrays of order items to capture all products in a single purchase. +- Flattened product attributes so each order line includes product names, categories, and pricing. + + +

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