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6 changes: 1 addition & 5 deletions src/.vuepress/sidebar/V2.0.x/en-Table.ts
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prefix: 'Deployment-and-Maintenance/',
children: [
{ text: 'Deployment form', link: 'Deployment-form_apache' },
{ text: 'Obtain TimechoDB', link: 'IoTDB-Package_apache' },
{ text: 'Obtain IoTDB', link: 'IoTDB-Package_apache' },
{ text: 'Database Resources', link: 'Database-Resources' },
{ text: 'Environment Requirements', link: 'Environment-Requirements' },
{
text: 'Stand-Alone Deployment',
link: 'Stand-Alone-Deployment_apache',
},
{ text: 'Cluster Deployment', link: 'Cluster-Deployment_apache' },
{
text: 'Dual Active Deployment',
link: 'Dual-Active-Deployment_apache',
},
{ text: 'Docker Deployment', link: 'Docker-Deployment_apache' },
{
text: 'Monitoring Panel Deployment',
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# Common Concept
# Common Concepts

## 1. SQL Dialect Related Concepts

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# Common Concept
# Common Concepts

## 1. SQL Dialect Related Concepts

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# Time Series Modeling
# Modeling Scheme Design

This section introduces how to transform time series data application scenarios into IoTDB time series modeling.

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# Time Series Modeling
# Modeling Scheme Design

This section introduces how to transform time series data application scenarios into IoTDB time series modeling.

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# Data Types
# Data Type

## 1. Basic Data Types

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under the License.

-->
# Time Series Data
# Timeseries Data Model

## 1. What is Time Series Data?

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# Data Deletion
# Delete Data

## 1. Data Deletion

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# Data Query
# Query Data

## 1. Syntax Overview

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# Automatic Data Expiration (TTL)
# TTL Delete Data

## 1. Overview

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# Data Insertion & Update
# Write & Update Data

## 1. Data Insertion

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under the License.

-->
# System Requirements
# Environment Requirements

## 1. Disk Array

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# Product Introduction
# IoTDB Introduction

Apache IoTDB is a low-cost, high-performance IoT-native time-series database. It addresses challenges faced by enterprises in managing time-series data for IoT big data platforms, including complex application scenarios, massive data volumes, high sampling frequencies, frequent out-of-order data, time-consuming data processing, diverse analytical requirements, and high storage and maintenance costs.

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under the License.

-->
# Product Introduction
# IoTDB Introduction

TimechoDB is a high-performance, cost-efficient, and IoT-native time-series database developed by Timecho. As an enterprise-grade extension of Apache IoTDB, it is designed to tackle the complexities of managing large-scale time-series data in IoT environments. These challenges include high-frequency data sampling, massive data volumes, out-of-order data, extended processing times, diverse analytical demands, and high storage and maintenance costs.

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under the License.

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# Configuration and Parameters
# Config Manual

## 1. IoTDB Configuration Files

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# Reserved Words & Keywords
# Keywords

Reserved keywords must be enclosed in double quotes (" ") to be used as identifiers. Below is a list of all reserved keywords in the IoTDB table model.

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under the License.

-->
# Partitioning and Load Balance
# Data Partitioning and Load Balancing

This document introduces the partitioning strategies and load balance strategies in IoTDB. According to the characteristics of time series data, IoTDB partitions them by series and time dimensions. Combining a series partition with a time partition creates a partition, the unit of division. To enhance throughput and reduce management costs, these partitions are evenly allocated to RegionGroups, which serve as the unit of replication. The RegionGroup's Regions then determine the storage location, with the leader Region managing the primary load. During this process, the Region placement strategy determines which nodes will host the replicas, while the leader selection strategy designates which Region will act as the leader.

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under the License.

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# Encoding and Compression
# Compression & Encoding

IoTDB employs various encoding and compression techniques to enhance storage efficiency and reduce I/O operations during data writing and reading. Below is a detailed explanation of the supported encoding and compression methods.

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under the License.

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# Benchmark
# Benchmark Tool

## 1. **Basic Overview**

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# Cluster Management Tools
# Cluster Management Tool

## 1. Data Directory Overview Tool

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under the License.

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# Maintenance Tool
# Cluster Management Tool

## 1. IoTDB-OpsKit

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# Prometheus
# Monitor Tool

The deployment of monitoring tools can be referenced in the document [Monitoring Panel Deployment](../Deployment-and-Maintenance/Monitoring-panel-deployment.md) chapter.

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# Data Synchronization
# Data Sync

Data synchronization is a typical requirement in the Industrial Internet of Things (IIoT). Through data synchronization mechanisms, data sharing between IoTDB instances can be achieved, enabling the establishment of a complete data pipeline to meet needs such as internal and external network data exchange, edge-to-cloud synchronization, data migration, and data backup.

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under the License.

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# Data Synchronization
# Data Sync

Data synchronization is a typical requirement in the Industrial Internet of Things (IIoT). Through data synchronization mechanisms, data sharing between IoTDB instances can be achieved, enabling the establishment of a complete data pipeline to meet needs such as internal and external network data exchange, edge-to-cloud synchronization, data migration, and data backup.

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under the License.

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# Maintenance Statement

## 1. Status Checking

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* limitations under the License.
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# Data subscription API
# Data Subscription API

IoTDB provides powerful data subscription functionality, allowing users to access newly added data from IoTDB in real-time through subscription APIs. For detailed functional definitions and introductions:[Data subscription](../User-Manual/Data-subscription.md)

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* limitations under the License.
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# Session Native API
# Java Native API

In the native API of IoTDB, the `Session` is the core interface for interacting with the database. It integrates a rich set of methods that support data writing, querying, and metadata operations. By instantiating a `Session`, you can establish a connection to the IoTDB server and perform various database operations within the environment constructed by this connection. The `Session` is not thread-safe and should not be called simultaneously by multiple threads.

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# Rust Native API Native API
# Rust Native API

IoTDB uses Thrift as a cross language RPC framework, so access to IoTDB can be achieved through the interface provided by Thrift.
This document will introduce how to generate a native Rust interface that can access IoTDB.
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# RESTful API V1(Not Recommend)
# REST API V1(Not Recommend)
IoTDB's RESTful services can be used for query, write, and management operations, using the OpenAPI standard to define interfaces and generate frameworks.

## 1. Enable RESTful Services
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# RESTful API V2
# REST API V2
IoTDB's RESTful services can be used for query, write, and management operations, using the OpenAPI standard to define interfaces and generate frameworks.

## 1. Enable RESTful Services
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# Time Series Modeling
# Modeling Scheme Design

This section introduces how to transform time series data application scenarios into IoTDB time series modeling.

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# Time Series Modeling
# Modeling Scheme Design

This section introduces how to transform time series data application scenarios into IoTDB time series modeling.

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under the License.

-->
# Entering Time Series Data
# Timeseries Data Model

## 1. What Is Time Series Data?

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# Timeseries Management
# Data Modeling

## 1. Database Management

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# Timeseries Management
# Data Modeling

## 1. Database Management

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# Write & Delete Data
# Write & Delete
## 1. CLI INSERT

IoTDB provides users with a variety of ways to insert real-time data, such as directly inputting [INSERT SQL statement](../SQL-Manual/SQL-Manual.md#insert-data) in [Client/Shell tools](../Tools-System/CLI.md), or using [Java JDBC](../API/Programming-JDBC.md) to perform single or batch execution of [INSERT SQL statement](../SQL-Manual/SQL-Manual.md).
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under the License.

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# System Requirements
# Environment Requirements

## 1. Disk Array

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# What is IoTDB
# IoTDB Introduction

Apache IoTDB is a low-cost, high-performance native temporal database for the Internet of Things. It can solve various problems encountered by enterprises when building IoT big data platforms to manage time-series data, such as complex application scenarios, large data volumes, high sampling frequencies, high amount of unaligned data, long data processing time, diverse analysis requirements, and high storage and operation costs.

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# What is TimechoDB
# IoTDB Introduction

TimechoDB is a low-cost, high-performance native temporal database for the Internet of Things, provided by Timecho based on the Apache IoTDB community version as an original commercial product. It can solve various problems encountered by enterprises when building IoT big data platforms to manage time-series data, such as complex application scenarios, large data volumes, high sampling frequencies, high amount of unaligned data, long data processing time, diverse analysis requirements, and high storage and operation costs.

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# Common Configuration
# Common Config Manual

IoTDB common files for ConfigNode and DataNode are under `conf`.

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# ConfigNode Configuration
# ConfigNode Config Manual

IoTDB ConfigNode files are under `conf`.

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# DataNode Configuration Parameters
# DataNode Config Manual

We use the same configuration files for IoTDB DataNode and Standalone version, all under the `conf`.

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# DataNode Configuration Parameters
# DataNode Config Manual

We use the same configuration files for IoTDB DataNode and Standalone version, all under the `conf`.

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