diff --git a/src/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_apache.md b/src/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_apache.md index 057d4001d..3a8d66b39 100644 --- a/src/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_apache.md +++ b/src/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_apache.md @@ -27,7 +27,7 @@ AINode is the third type of endogenous node provided by IoTDB after the Configurable Node and DataNode. This node extends its ability to perform machine learning analysis on time series by interacting with the DataNode and Configurable Node of the IoTDB cluster. It supports the introduction of existing machine learning models from external sources for registration and the use of registered models to complete time series analysis tasks on specified time series data through simple SQL statements. The creation, management, and inference of models are integrated into the database engine. Currently, machine learning algorithms or self-developed models are available for common time series analysis scenarios, such as prediction and anomaly detection. ### 1.2 Delivery Method - It is an additional package outside the IoTDB cluster, with independent installation and activation (if you need to try or use it, please contact Timecho Technology Business or Technical Support). + It is an additional package outside the IoTDB cluster, with independent installation and activation. ### 1.3 Deployment mode
@@ -42,7 +42,7 @@ Users can download the software installation package for AINode, download and unzip it to complete the installation of AINode. Unzip and install the package - `(iotdb-enterprise-ainode-.zip)`， The directory structure after unpacking the installation package is as follows: + `(apache-iotdb--ainode-bin.zip)`， The directory structure after unpacking the installation package is as follows: | **Catalogue** | **Type** | **Explain** | | ------------ | -------- | ------------------------------------------------ | | lib | folder | AINode compiled binary executable files and related code dependencies | @@ -57,12 +57,12 @@ - Suggested operating environment：Ubuntu, CentOS, MacOS - Runtime Environment - - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `iotdb-enterprise-ainode-` folder, and follow the steps below to start AINode. + - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `apache-iotdb--ainode-bin` folder, and follow the steps below to start AINode. - There must be a Python interpreter in the environment variables that can be directly called through the `python` instruction. - - It is recommended to create a Python interpreter venv virtual environment in the `iotdb-enterprise-ainode-` folder. If installing version 3.8.0 virtual environment, the statement is as follows: + - It is recommended to create a Python interpreter venv virtual environment in the `apache-iotdb--ainode-bin` folder. If installing version 3.8.0 virtual environment, the statement is as follows: ```shell # Install version 3.8.0 of Venv , Create a virtual environment with the folder name `venv`. ../Python-3.8.0/python -m venv `venv` diff --git a/src/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_timecho.md b/src/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_timecho.md index 1bfc0699a..87aa7e3ba 100644 --- a/src/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_timecho.md +++ b/src/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_timecho.md @@ -27,7 +27,7 @@ AINode is the third type of endogenous node provided by IoTDB after the Configurable Node and DataNode. This node extends its ability to perform machine learning analysis on time series by interacting with the DataNode and Configurable Node of the IoTDB cluster. It supports the introduction of existing machine learning models from external sources for registration and the use of registered models to complete time series analysis tasks on specified time series data through simple SQL statements. The creation, management, and inference of models are integrated into the database engine. Currently, machine learning algorithms or self-developed models are available for common time series analysis scenarios, such as prediction and anomaly detection. ### 1.2 Delivery Method - It is an additional package outside the IoTDB cluster, with independent installation and activation (if you need to try or use it, please contact Timecho Technology Business or Technical Support). + It is an additional package outside the IoTDB cluster, with independent installation and activation. ### 1.3 Deployment mode
@@ -42,7 +42,7 @@ Users can download the software installation package for AINode, download and unzip it to complete the installation of AINode. Unzip and install the package - `(iotdb-enterprise-ainode-.zip)`， The directory structure after unpacking the installation package is as follows: + `(apache-iotdb--ainode-bin.zip)`， The directory structure after unpacking the installation package is as follows: | **Catalogue** | **Type** | **Explain** | | ------------ | -------- | ------------------------------------------------ | | lib | folder | AINode compiled binary executable files and related code dependencies | @@ -57,12 +57,12 @@ - Suggested operating environment：Ubuntu, CentOS, MacOS - Runtime Environment - - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `iotdb-enterprise-ainode-` folder, and follow the steps below to start AINode. + - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `apache-iotdb--ainode-bin` folder, and follow the steps below to start AINode. - There must be a Python interpreter in the environment variables that can be directly called through the `python` instruction. - - It is recommended to create a Python interpreter venv virtual environment in the `iotdb-enterprise-ainode-` folder. If installing version 3.8.0 virtual environment, the statement is as follows: + - It is recommended to create a Python interpreter venv virtual environment in the `apache-iotdb--ainode-bin` folder. If installing version 3.8.0 virtual environment, the statement is as follows: ```shell # Install version 3.8.0 of Venv , Create a virtual environment with the folder name `venv`. ../Python-3.8.0/python -m venv `venv` @@ -74,7 +74,7 @@ 1. AINode activation - Require IoTDB to be in normal operation and have AINode module authorization in the license (usually not in the license, please contact T Business or technical support personnel to obtain AINode module authorization). + Require IoTDB to be in normal operation and have AINode module authorization in the license. The authorization method for activating the AINode module is as follows： - Method 1: Activate file copy activation diff --git a/src/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_apache.md b/src/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_apache.md index 3e749e161..f515d8c05 100644 --- a/src/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_apache.md +++ b/src/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_apache.md @@ -27,7 +27,7 @@ AINode is the third type of endogenous node provided by IoTDB after the Configurable Node and DataNode. This node extends its ability to perform machine learning analysis on time series by interacting with the DataNode and Configurable Node of the IoTDB cluster. It supports the introduction of existing machine learning models from external sources for registration and the use of registered models to complete time series analysis tasks on specified time series data through simple SQL statements. The creation, management, and inference of models are integrated into the database engine. Currently, machine learning algorithms or self-developed models are available for common time series analysis scenarios, such as prediction and anomaly detection. ### Delivery Method - It is an additional package outside the IoTDB cluster, with independent installation and activation (if you need to try or use it, please contact Timecho Technology Business or Technical Support). + It is an additional package outside the IoTDB cluster, with independent installation and activation. ### Deployment mode
@@ -42,7 +42,7 @@ Users can download the software installation package for AINode, download and unzip it to complete the installation of AINode. Unzip and install the package - `(iotdb-enterprise-ainode-.zip)`， The directory structure after unpacking the installation package is as follows: + `(apache-iotdb--ainode-bin.zip)`， The directory structure after unpacking the installation package is as follows: | **Catalogue** | **Type** | **Explain** | | ------------ | -------- | ------------------------------------------------ | | lib | folder | AINode compiled binary executable files and related code dependencies | @@ -57,12 +57,12 @@ - Suggested operating environment：Ubuntu, CentOS, MacOS - Runtime Environment - - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `iotdb-enterprise-ainode-` folder, and follow the steps below to start AINode. + - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `apache-iotdb--ainode-bin` folder, and follow the steps below to start AINode. - There must be a Python interpreter in the environment variables that can be directly called through the `python` instruction. - - It is recommended to create a Python interpreter venv virtual environment in the `iotdb-enterprise-ainode-` folder. If installing version 3.8.0 virtual environment, the statement is as follows: + - It is recommended to create a Python interpreter venv virtual environment in the `apache-iotdb--ainode-bin` folder. If installing version 3.8.0 virtual environment, the statement is as follows: ```shell # Install version 3.8.0 of Venv , Create a virtual environment with the folder name `venv`. ../Python-3.8.0/python -m venv `venv` diff --git a/src/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_timecho.md b/src/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_timecho.md index e82a62556..89b9cc9c6 100644 --- a/src/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_timecho.md +++ b/src/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_timecho.md @@ -27,7 +27,7 @@ AINode is the third type of endogenous node provided by IoTDB after the Configurable Node and DataNode. This node extends its ability to perform machine learning analysis on time series by interacting with the DataNode and Configurable Node of the IoTDB cluster. It supports the introduction of existing machine learning models from external sources for registration and the use of registered models to complete time series analysis tasks on specified time series data through simple SQL statements. The creation, management, and inference of models are integrated into the database engine. Currently, machine learning algorithms or self-developed models are available for common time series analysis scenarios, such as prediction and anomaly detection. ### Delivery Method - It is an additional package outside the IoTDB cluster, with independent installation and activation (if you need to try or use it, please contact Timecho Technology Business or Technical Support). + It is an additional package outside the IoTDB cluster, with independent installation and activation. ### Deployment mode
@@ -42,7 +42,7 @@ Users can download the software installation package for AINode, download and unzip it to complete the installation of AINode. Unzip and install the package - `(iotdb-enterprise-ainode-.zip)`， The directory structure after unpacking the installation package is as follows: + `(apache-iotdb--ainode-bin.zip)`， The directory structure after unpacking the installation package is as follows: | **Catalogue** | **Type** | **Explain** | | ------------ | -------- | ------------------------------------------------ | | lib | folder | AINode compiled binary executable files and related code dependencies | @@ -57,12 +57,12 @@ - Suggested operating environment：Ubuntu, CentOS, MacOS - Runtime Environment - - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `iotdb-enterprise-ainode-` folder, and follow the steps below to start AINode. + - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `apache-iotdb--ainode-bin` folder, and follow the steps below to start AINode. - There must be a Python interpreter in the environment variables that can be directly called through the `python` instruction. - - It is recommended to create a Python interpreter venv virtual environment in the `iotdb-enterprise-ainode-` folder. If installing version 3.8.0 virtual environment, the statement is as follows: + - It is recommended to create a Python interpreter venv virtual environment in the `apache-iotdb--ainode-bin` folder. If installing version 3.8.0 virtual environment, the statement is as follows: ```shell # Install version 3.8.0 of Venv , Create a virtual environment with the folder name `venv`. ../Python-3.8.0/python -m venv `venv` @@ -74,7 +74,7 @@ 1. AINode activation - Require IoTDB to be in normal operation and have AINode module authorization in the license (usually not in the license, please contact T Business or technical support personnel to obtain AINode module authorization). + Require IoTDB to be in normal operation and have AINode module authorization in the license. The authorization method for activating the AINode module is as follows： - Method 1: Activate file copy activation diff --git a/src/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_apache.md b/src/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_apache.md index 3e749e161..f515d8c05 100644 --- a/src/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_apache.md +++ b/src/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_apache.md @@ -27,7 +27,7 @@ AINode is the third type of endogenous node provided by IoTDB after the Configurable Node and DataNode. This node extends its ability to perform machine learning analysis on time series by interacting with the DataNode and Configurable Node of the IoTDB cluster. It supports the introduction of existing machine learning models from external sources for registration and the use of registered models to complete time series analysis tasks on specified time series data through simple SQL statements. The creation, management, and inference of models are integrated into the database engine. Currently, machine learning algorithms or self-developed models are available for common time series analysis scenarios, such as prediction and anomaly detection. ### Delivery Method - It is an additional package outside the IoTDB cluster, with independent installation and activation (if you need to try or use it, please contact Timecho Technology Business or Technical Support). + It is an additional package outside the IoTDB cluster, with independent installation and activation. ### Deployment mode
@@ -42,7 +42,7 @@ Users can download the software installation package for AINode, download and unzip it to complete the installation of AINode. Unzip and install the package - `(iotdb-enterprise-ainode-.zip)`， The directory structure after unpacking the installation package is as follows: + `(apache-iotdb--ainode-bin.zip)`， The directory structure after unpacking the installation package is as follows: | **Catalogue** | **Type** | **Explain** | | ------------ | -------- | ------------------------------------------------ | | lib | folder | AINode compiled binary executable files and related code dependencies | @@ -57,12 +57,12 @@ - Suggested operating environment：Ubuntu, CentOS, MacOS - Runtime Environment - - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `iotdb-enterprise-ainode-` folder, and follow the steps below to start AINode. + - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `apache-iotdb--ainode-bin` folder, and follow the steps below to start AINode. - There must be a Python interpreter in the environment variables that can be directly called through the `python` instruction. - - It is recommended to create a Python interpreter venv virtual environment in the `iotdb-enterprise-ainode-` folder. If installing version 3.8.0 virtual environment, the statement is as follows: + - It is recommended to create a Python interpreter venv virtual environment in the `apache-iotdb--ainode-bin` folder. If installing version 3.8.0 virtual environment, the statement is as follows: ```shell # Install version 3.8.0 of Venv , Create a virtual environment with the folder name `venv`. ../Python-3.8.0/python -m venv `venv` diff --git a/src/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_timecho.md b/src/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_timecho.md index e82a62556..89b9cc9c6 100644 --- a/src/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_timecho.md +++ b/src/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_timecho.md @@ -27,7 +27,7 @@ AINode is the third type of endogenous node provided by IoTDB after the Configurable Node and DataNode. This node extends its ability to perform machine learning analysis on time series by interacting with the DataNode and Configurable Node of the IoTDB cluster. It supports the introduction of existing machine learning models from external sources for registration and the use of registered models to complete time series analysis tasks on specified time series data through simple SQL statements. The creation, management, and inference of models are integrated into the database engine. Currently, machine learning algorithms or self-developed models are available for common time series analysis scenarios, such as prediction and anomaly detection. ### Delivery Method - It is an additional package outside the IoTDB cluster, with independent installation and activation (if you need to try or use it, please contact Timecho Technology Business or Technical Support). + It is an additional package outside the IoTDB cluster, with independent installation and activation. ### Deployment mode
@@ -42,7 +42,7 @@ Users can download the software installation package for AINode, download and unzip it to complete the installation of AINode. Unzip and install the package - `(iotdb-enterprise-ainode-.zip)`， The directory structure after unpacking the installation package is as follows: + `(apache-iotdb--ainode-bin.zip)`， The directory structure after unpacking the installation package is as follows: | **Catalogue** | **Type** | **Explain** | | ------------ | -------- | ------------------------------------------------ | | lib | folder | AINode compiled binary executable files and related code dependencies | @@ -57,12 +57,12 @@ - Suggested operating environment：Ubuntu, CentOS, MacOS - Runtime Environment - - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `iotdb-enterprise-ainode-` folder, and follow the steps below to start AINode. + - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `apache-iotdb--ainode-bin` folder, and follow the steps below to start AINode. - There must be a Python interpreter in the environment variables that can be directly called through the `python` instruction. - - It is recommended to create a Python interpreter venv virtual environment in the `iotdb-enterprise-ainode-` folder. If installing version 3.8.0 virtual environment, the statement is as follows: + - It is recommended to create a Python interpreter venv virtual environment in the `apache-iotdb--ainode-bin` folder. If installing version 3.8.0 virtual environment, the statement is as follows: ```shell # Install version 3.8.0 of Venv , Create a virtual environment with the folder name `venv`. ../Python-3.8.0/python -m venv `venv` @@ -74,7 +74,7 @@ 1. AINode activation - Require IoTDB to be in normal operation and have AINode module authorization in the license (usually not in the license, please contact T Business or technical support personnel to obtain AINode module authorization). + Require IoTDB to be in normal operation and have AINode module authorization in the license. The authorization method for activating the AINode module is as follows： - Method 1: Activate file copy activation diff --git a/src/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_apache.md b/src/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_apache.md index 057d4001d..3a8d66b39 100644 --- a/src/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_apache.md +++ b/src/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_apache.md @@ -27,7 +27,7 @@ AINode is the third type of endogenous node provided by IoTDB after the Configurable Node and DataNode. This node extends its ability to perform machine learning analysis on time series by interacting with the DataNode and Configurable Node of the IoTDB cluster. It supports the introduction of existing machine learning models from external sources for registration and the use of registered models to complete time series analysis tasks on specified time series data through simple SQL statements. The creation, management, and inference of models are integrated into the database engine. Currently, machine learning algorithms or self-developed models are available for common time series analysis scenarios, such as prediction and anomaly detection. ### 1.2 Delivery Method - It is an additional package outside the IoTDB cluster, with independent installation and activation (if you need to try or use it, please contact Timecho Technology Business or Technical Support). + It is an additional package outside the IoTDB cluster, with independent installation and activation. ### 1.3 Deployment mode
@@ -42,7 +42,7 @@ Users can download the software installation package for AINode, download and unzip it to complete the installation of AINode. Unzip and install the package - `(iotdb-enterprise-ainode-.zip)`， The directory structure after unpacking the installation package is as follows: + `(apache-iotdb--ainode-bin.zip)`， The directory structure after unpacking the installation package is as follows: | **Catalogue** | **Type** | **Explain** | | ------------ | -------- | ------------------------------------------------ | | lib | folder | AINode compiled binary executable files and related code dependencies | @@ -57,12 +57,12 @@ - Suggested operating environment：Ubuntu, CentOS, MacOS - Runtime Environment - - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `iotdb-enterprise-ainode-` folder, and follow the steps below to start AINode. + - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `apache-iotdb--ainode-bin` folder, and follow the steps below to start AINode. - There must be a Python interpreter in the environment variables that can be directly called through the `python` instruction. - - It is recommended to create a Python interpreter venv virtual environment in the `iotdb-enterprise-ainode-` folder. If installing version 3.8.0 virtual environment, the statement is as follows: + - It is recommended to create a Python interpreter venv virtual environment in the `apache-iotdb--ainode-bin` folder. If installing version 3.8.0 virtual environment, the statement is as follows: ```shell # Install version 3.8.0 of Venv , Create a virtual environment with the folder name `venv`. ../Python-3.8.0/python -m venv `venv` diff --git a/src/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_timecho.md b/src/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_timecho.md index 1bfc0699a..87aa7e3ba 100644 --- a/src/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_timecho.md +++ b/src/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_timecho.md @@ -27,7 +27,7 @@ AINode is the third type of endogenous node provided by IoTDB after the Configurable Node and DataNode. This node extends its ability to perform machine learning analysis on time series by interacting with the DataNode and Configurable Node of the IoTDB cluster. It supports the introduction of existing machine learning models from external sources for registration and the use of registered models to complete time series analysis tasks on specified time series data through simple SQL statements. The creation, management, and inference of models are integrated into the database engine. Currently, machine learning algorithms or self-developed models are available for common time series analysis scenarios, such as prediction and anomaly detection. ### 1.2 Delivery Method - It is an additional package outside the IoTDB cluster, with independent installation and activation (if you need to try or use it, please contact Timecho Technology Business or Technical Support). + It is an additional package outside the IoTDB cluster, with independent installation and activation. ### 1.3 Deployment mode
@@ -42,7 +42,7 @@ Users can download the software installation package for AINode, download and unzip it to complete the installation of AINode. Unzip and install the package - `(iotdb-enterprise-ainode-.zip)`， The directory structure after unpacking the installation package is as follows: + `(apache-iotdb--ainode-bin.zip)`， The directory structure after unpacking the installation package is as follows: | **Catalogue** | **Type** | **Explain** | | ------------ | -------- | ------------------------------------------------ | | lib | folder | AINode compiled binary executable files and related code dependencies | @@ -57,12 +57,12 @@ - Suggested operating environment：Ubuntu, CentOS, MacOS - Runtime Environment - - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `iotdb-enterprise-ainode-` folder, and follow the steps below to start AINode. + - Python>=3.8 and Python <= 3.14 is sufficient in a networked environment, and comes with pip and venv tools; Python 3.8 version is required for non networked environments, and download the zip package for the corresponding operating system from [here](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) (Note that when downloading dependencies, you need to select the zip file in the libs folder, as shown in the following figure). Copy all files in the folder to the `lib` folder in the `apache-iotdb--ainode-bin` folder, and follow the steps below to start AINode. - There must be a Python interpreter in the environment variables that can be directly called through the `python` instruction. - - It is recommended to create a Python interpreter venv virtual environment in the `iotdb-enterprise-ainode-` folder. If installing version 3.8.0 virtual environment, the statement is as follows: + - It is recommended to create a Python interpreter venv virtual environment in the `apache-iotdb--ainode-bin` folder. If installing version 3.8.0 virtual environment, the statement is as follows: ```shell # Install version 3.8.0 of Venv , Create a virtual environment with the folder name `venv`. ../Python-3.8.0/python -m venv `venv` @@ -74,7 +74,7 @@ 1. AINode activation - Require IoTDB to be in normal operation and have AINode module authorization in the license (usually not in the license, please contact T Business or technical support personnel to obtain AINode module authorization). + Require IoTDB to be in normal operation and have AINode module authorization in the license. The authorization method for activating the AINode module is as follows： - Method 1: Activate file copy activation diff --git a/src/zh/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_apache.md b/src/zh/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_apache.md index 5758f7ab1..46578b158 100644 --- a/src/zh/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_apache.md +++ b/src/zh/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_apache.md @@ -27,7 +27,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点，该节点通过与 IoTDB 集群的 DataNode、ConfigNode 的交互，扩展了对时间序列进行机器学习分析的能力，支持从外部引入已有机器学习模型进行注册，并使用注册的模型在指定时序数据上通过简单 SQL 语句完成时序分析任务的过程，将模型的创建、管理及推理融合在数据库引擎中。目前已提供常见时序分析场景（例如预测与异常检测）的机器学习算法或自研模型。 ### 1.2 交付方式 - 是 IoTDB 集群外的额外套件，独立安装包，独立激活（如需试用或使用，请联系天谋科技商务或技术支持）。 + 是 IoTDB 集群外的额外套件，独立安装包，独立激活。 ### 1.3 部署模式
@@ -41,7 +41,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 用户可以下载AINode的软件安装包，下载并解压后即完成AINode的安装。 - 解压后安装包（`iotdb-enterprise-ainode-.zip`），安装包解压后目录结构如下： + 解压后安装包（`apache-iotdb--ainode-bin.zip`），安装包解压后目录结构如下： | **目录** | **类型** | **说明** | | ------------ | -------- | ------------------------------------------------ | | lib | 文件夹 | AINode编译后的二进制可执行文件以及相关的代码依赖 | @@ -56,12 +56,12 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， - 建议操作环境: Ubuntu, CentOS, MacOS - 运行环境 - - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `iotdb-enterprise-ainode-` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 + - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `apache-iotdb--ainode-bin` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 - 环境变量中需存在 Python 解释器且可以通过 `python` 指令直接调用 - - 建议在 `iotdb-enterprise-ainode-` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： + - 建议在 `apache-iotdb--ainode-bin` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： ```shell # 安装3.8.0版本的venv，创建虚拟环境，文件夹名为 `venv` diff --git a/src/zh/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_timecho.md b/src/zh/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_timecho.md index 659603392..34c05d4e8 100644 --- a/src/zh/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_timecho.md +++ b/src/zh/UserGuide/Master/Tree/Deployment-and-Maintenance/AINode_Deployment_timecho.md @@ -27,7 +27,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点，该节点通过与 IoTDB 集群的 DataNode、ConfigNode 的交互，扩展了对时间序列进行机器学习分析的能力，支持从外部引入已有机器学习模型进行注册，并使用注册的模型在指定时序数据上通过简单 SQL 语句完成时序分析任务的过程，将模型的创建、管理及推理融合在数据库引擎中。目前已提供常见时序分析场景（例如预测与异常检测）的机器学习算法或自研模型。 ### 1.2 交付方式 - 是 IoTDB 集群外的额外套件，独立安装包，独立激活（如需试用或使用，请联系天谋科技商务或技术支持）。 + 是 IoTDB 集群外的额外套件，独立安装包，独立激活。 ### 1.3 部署模式
@@ -41,7 +41,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 用户可以下载AINode的软件安装包，下载并解压后即完成AINode的安装。 - 解压后安装包（`iotdb-enterprise-ainode-.zip`），安装包解压后目录结构如下： + 解压后安装包（`apache-iotdb--ainode-bin.zip`），安装包解压后目录结构如下： | **目录** | **类型** | **说明** | | ------------ | -------- | ------------------------------------------------ | | lib | 文件夹 | AINode编译后的二进制可执行文件以及相关的代码依赖 | @@ -56,12 +56,12 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， - 建议操作环境: Ubuntu, CentOS, MacOS - 运行环境 - - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `iotdb-enterprise-ainode-` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 + - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `apache-iotdb--ainode-bin` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 - 环境变量中需存在 Python 解释器且可以通过 `python` 指令直接调用 - - 建议在 `iotdb-enterprise-ainode-` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： + - 建议在 `apache-iotdb--ainode-bin` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： ```shell # 安装3.8.0版本的venv，创建虚拟环境，文件夹名为 `venv` @@ -73,7 +73,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 1. AINode 激活 - 要求 IoTDB 处于正常运行状态，且 license 中有 AINode 模块授权（通常 license 中不具有 AINode 授权，可联系天谋商务或技术支持人员获取 AINode 模块授权）。 + 要求 IoTDB 处于正常运行状态，且 license 中有 AINode 模块授权。 激活 AINode 模块授权方式如下： - 方式一：激活文件拷贝激活 diff --git a/src/zh/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_apache.md b/src/zh/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_apache.md index 143b1eda8..5f558135e 100644 --- a/src/zh/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_apache.md +++ b/src/zh/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_apache.md @@ -27,7 +27,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点，该节点通过与 IoTDB 集群的 DataNode、ConfigNode 的交互，扩展了对时间序列进行机器学习分析的能力，支持从外部引入已有机器学习模型进行注册，并使用注册的模型在指定时序数据上通过简单 SQL 语句完成时序分析任务的过程，将模型的创建、管理及推理融合在数据库引擎中。目前已提供常见时序分析场景（例如预测与异常检测）的机器学习算法或自研模型。 ### 交付方式 - 是 IoTDB 集群外的额外套件，独立安装包，独立激活（如需试用或使用，请联系天谋科技商务或技术支持）。 + 是 IoTDB 集群外的额外套件，独立安装包，独立激活。 ### 部署模式
@@ -41,7 +41,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 用户可以下载AINode的软件安装包，下载并解压后即完成AINode的安装。 - 解压后安装包（`iotdb-enterprise-ainode-.zip`），安装包解压后目录结构如下： + 解压后安装包（`apache-iotdb--ainode-bin.zip`），安装包解压后目录结构如下： | **目录** | **类型** | **说明** | | ------------ | -------- | ------------------------------------------------ | | lib | 文件夹 | AINode编译后的二进制可执行文件以及相关的代码依赖 | @@ -56,12 +56,12 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， - 建议操作环境: Ubuntu, CentOS, MacOS - 运行环境 - - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `iotdb-enterprise-ainode-` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 + - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `apache-iotdb--ainode-bin` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 - 环境变量中需存在 Python 解释器且可以通过 `python` 指令直接调用 - - 建议在 `iotdb-enterprise-ainode-` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： + - 建议在 `apache-iotdb--ainode-bin` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： ```shell # 安装3.8.0版本的venv，创建虚拟环境，文件夹名为 `venv` diff --git a/src/zh/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_timecho.md b/src/zh/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_timecho.md index 91f91cbba..df3a98b00 100644 --- a/src/zh/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_timecho.md +++ b/src/zh/UserGuide/V1.3.x/Deployment-and-Maintenance/AINode_Deployment_timecho.md @@ -27,7 +27,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点，该节点通过与 IoTDB 集群的 DataNode、ConfigNode 的交互，扩展了对时间序列进行机器学习分析的能力，支持从外部引入已有机器学习模型进行注册，并使用注册的模型在指定时序数据上通过简单 SQL 语句完成时序分析任务的过程，将模型的创建、管理及推理融合在数据库引擎中。目前已提供常见时序分析场景（例如预测与异常检测）的机器学习算法或自研模型。 ### 交付方式 - 是 IoTDB 集群外的额外套件，独立安装包，独立激活（如需试用或使用，请联系天谋科技商务或技术支持）。 + 是 IoTDB 集群外的额外套件，独立安装包，独立激活。 ### 部署模式
@@ -41,7 +41,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 用户可以下载AINode的软件安装包，下载并解压后即完成AINode的安装。 - 解压后安装包（`iotdb-enterprise-ainode-.zip`），安装包解压后目录结构如下： + 解压后安装包（`apache-iotdb--ainode-bin.zip`），安装包解压后目录结构如下： | **目录** | **类型** | **说明** | | ------------ | -------- | ------------------------------------------------ | | lib | 文件夹 | AINode编译后的二进制可执行文件以及相关的代码依赖 | @@ -56,12 +56,12 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， - 建议操作环境: Ubuntu, CentOS, MacOS - 运行环境 - - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `iotdb-enterprise-ainode-` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 + - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `apache-iotdb--ainode-bin` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 - 环境变量中需存在 Python 解释器且可以通过 `python` 指令直接调用 - - 建议在 `iotdb-enterprise-ainode-` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： + - 建议在 `apache-iotdb--ainode-bin` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： ```shell # 安装3.8.0版本的venv，创建虚拟环境，文件夹名为 `venv` @@ -73,7 +73,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 1. AINode 激活 - 要求 IoTDB 处于正常运行状态，且 license 中有 AINode 模块授权（通常 license 中不具有 AINode 授权，可联系天谋商务或技术支持人员获取 AINode 模块授权）。 + 要求 IoTDB 处于正常运行状态，且 license 中有 AINode 模块授权。 激活 AINode 模块授权方式如下： - 方式一：激活文件拷贝激活 diff --git a/src/zh/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_apache.md b/src/zh/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_apache.md index 143b1eda8..4a044b0a6 100644 --- a/src/zh/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_apache.md +++ b/src/zh/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_apache.md @@ -27,7 +27,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点，该节点通过与 IoTDB 集群的 DataNode、ConfigNode 的交互，扩展了对时间序列进行机器学习分析的能力，支持从外部引入已有机器学习模型进行注册，并使用注册的模型在指定时序数据上通过简单 SQL 语句完成时序分析任务的过程，将模型的创建、管理及推理融合在数据库引擎中。目前已提供常见时序分析场景（例如预测与异常检测）的机器学习算法或自研模型。 ### 交付方式 - 是 IoTDB 集群外的额外套件，独立安装包，独立激活（如需试用或使用，请联系天谋科技商务或技术支持）。 + 是 IoTDB 集群外的额外套件，独立安装包，独立激活）。 ### 部署模式
@@ -41,7 +41,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 用户可以下载AINode的软件安装包，下载并解压后即完成AINode的安装。 - 解压后安装包（`iotdb-enterprise-ainode-.zip`），安装包解压后目录结构如下： + 解压后安装包（`apache-iotdb--ainode-bin.zip`），安装包解压后目录结构如下： | **目录** | **类型** | **说明** | | ------------ | -------- | ------------------------------------------------ | | lib | 文件夹 | AINode编译后的二进制可执行文件以及相关的代码依赖 | @@ -56,12 +56,12 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， - 建议操作环境: Ubuntu, CentOS, MacOS - 运行环境 - - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `iotdb-enterprise-ainode-` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 + - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `apache-iotdb--ainode-bin` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 - 环境变量中需存在 Python 解释器且可以通过 `python` 指令直接调用 - - 建议在 `iotdb-enterprise-ainode-` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： + - 建议在 `apache-iotdb--ainode-bin` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： ```shell # 安装3.8.0版本的venv，创建虚拟环境，文件夹名为 `venv` diff --git a/src/zh/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_timecho.md b/src/zh/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_timecho.md index 91f91cbba..df3a98b00 100644 --- a/src/zh/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_timecho.md +++ b/src/zh/UserGuide/dev-1.3/Deployment-and-Maintenance/AINode_Deployment_timecho.md @@ -27,7 +27,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点，该节点通过与 IoTDB 集群的 DataNode、ConfigNode 的交互，扩展了对时间序列进行机器学习分析的能力，支持从外部引入已有机器学习模型进行注册，并使用注册的模型在指定时序数据上通过简单 SQL 语句完成时序分析任务的过程，将模型的创建、管理及推理融合在数据库引擎中。目前已提供常见时序分析场景（例如预测与异常检测）的机器学习算法或自研模型。 ### 交付方式 - 是 IoTDB 集群外的额外套件，独立安装包，独立激活（如需试用或使用，请联系天谋科技商务或技术支持）。 + 是 IoTDB 集群外的额外套件，独立安装包，独立激活。 ### 部署模式
@@ -41,7 +41,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 用户可以下载AINode的软件安装包，下载并解压后即完成AINode的安装。 - 解压后安装包（`iotdb-enterprise-ainode-.zip`），安装包解压后目录结构如下： + 解压后安装包（`apache-iotdb--ainode-bin.zip`），安装包解压后目录结构如下： | **目录** | **类型** | **说明** | | ------------ | -------- | ------------------------------------------------ | | lib | 文件夹 | AINode编译后的二进制可执行文件以及相关的代码依赖 | @@ -56,12 +56,12 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， - 建议操作环境: Ubuntu, CentOS, MacOS - 运行环境 - - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `iotdb-enterprise-ainode-` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 + - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `apache-iotdb--ainode-bin` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 - 环境变量中需存在 Python 解释器且可以通过 `python` 指令直接调用 - - 建议在 `iotdb-enterprise-ainode-` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： + - 建议在 `apache-iotdb--ainode-bin` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： ```shell # 安装3.8.0版本的venv，创建虚拟环境，文件夹名为 `venv` @@ -73,7 +73,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 1. AINode 激活 - 要求 IoTDB 处于正常运行状态，且 license 中有 AINode 模块授权（通常 license 中不具有 AINode 授权，可联系天谋商务或技术支持人员获取 AINode 模块授权）。 + 要求 IoTDB 处于正常运行状态，且 license 中有 AINode 模块授权。 激活 AINode 模块授权方式如下： - 方式一：激活文件拷贝激活 diff --git a/src/zh/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_apache.md b/src/zh/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_apache.md index 5758f7ab1..46578b158 100644 --- a/src/zh/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_apache.md +++ b/src/zh/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_apache.md @@ -27,7 +27,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点，该节点通过与 IoTDB 集群的 DataNode、ConfigNode 的交互，扩展了对时间序列进行机器学习分析的能力，支持从外部引入已有机器学习模型进行注册，并使用注册的模型在指定时序数据上通过简单 SQL 语句完成时序分析任务的过程，将模型的创建、管理及推理融合在数据库引擎中。目前已提供常见时序分析场景（例如预测与异常检测）的机器学习算法或自研模型。 ### 1.2 交付方式 - 是 IoTDB 集群外的额外套件，独立安装包，独立激活（如需试用或使用，请联系天谋科技商务或技术支持）。 + 是 IoTDB 集群外的额外套件，独立安装包，独立激活。 ### 1.3 部署模式
@@ -41,7 +41,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 用户可以下载AINode的软件安装包，下载并解压后即完成AINode的安装。 - 解压后安装包（`iotdb-enterprise-ainode-.zip`），安装包解压后目录结构如下： + 解压后安装包（`apache-iotdb--ainode-bin.zip`），安装包解压后目录结构如下： | **目录** | **类型** | **说明** | | ------------ | -------- | ------------------------------------------------ | | lib | 文件夹 | AINode编译后的二进制可执行文件以及相关的代码依赖 | @@ -56,12 +56,12 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， - 建议操作环境: Ubuntu, CentOS, MacOS - 运行环境 - - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `iotdb-enterprise-ainode-` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 + - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `apache-iotdb--ainode-bin` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 - 环境变量中需存在 Python 解释器且可以通过 `python` 指令直接调用 - - 建议在 `iotdb-enterprise-ainode-` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： + - 建议在 `apache-iotdb--ainode-bin` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： ```shell # 安装3.8.0版本的venv，创建虚拟环境，文件夹名为 `venv` diff --git a/src/zh/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_timecho.md b/src/zh/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_timecho.md index 659603392..34c05d4e8 100644 --- a/src/zh/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_timecho.md +++ b/src/zh/UserGuide/latest/Deployment-and-Maintenance/AINode_Deployment_timecho.md @@ -27,7 +27,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点，该节点通过与 IoTDB 集群的 DataNode、ConfigNode 的交互，扩展了对时间序列进行机器学习分析的能力，支持从外部引入已有机器学习模型进行注册，并使用注册的模型在指定时序数据上通过简单 SQL 语句完成时序分析任务的过程，将模型的创建、管理及推理融合在数据库引擎中。目前已提供常见时序分析场景（例如预测与异常检测）的机器学习算法或自研模型。 ### 1.2 交付方式 - 是 IoTDB 集群外的额外套件，独立安装包，独立激活（如需试用或使用，请联系天谋科技商务或技术支持）。 + 是 IoTDB 集群外的额外套件，独立安装包，独立激活。 ### 1.3 部署模式
@@ -41,7 +41,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 用户可以下载AINode的软件安装包，下载并解压后即完成AINode的安装。 - 解压后安装包（`iotdb-enterprise-ainode-.zip`），安装包解压后目录结构如下： + 解压后安装包（`apache-iotdb--ainode-bin.zip`），安装包解压后目录结构如下： | **目录** | **类型** | **说明** | | ------------ | -------- | ------------------------------------------------ | | lib | 文件夹 | AINode编译后的二进制可执行文件以及相关的代码依赖 | @@ -56,12 +56,12 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， - 建议操作环境: Ubuntu, CentOS, MacOS - 运行环境 - - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `iotdb-enterprise-ainode-` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 + - 联网环境下 Python >= 3.8即可，且带有 pip 和 venv 工具；非联网环境下需要使用 Python 3.8版本，并从 [此处](https://cloud.tsinghua.edu.cn/d/4c1342f6c272439aa96c/?p=%2Flibs&mode=list) 下载对应操作系统的zip压缩包（注意下载依赖需选择libs文件夹中的zip压缩包，如下图），并将文件夹下的所有文件拷贝到 `apache-iotdb--ainode-bin` 文件夹中 `lib` 文件夹下，并按下文步骤启动AINode。 - 环境变量中需存在 Python 解释器且可以通过 `python` 指令直接调用 - - 建议在 `iotdb-enterprise-ainode-` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： + - 建议在 `apache-iotdb--ainode-bin` 文件夹下，新建 Python 解释器 venv 虚拟环境。如安装 3.8.0 版本虚拟环境，语句如下： ```shell # 安装3.8.0版本的venv，创建虚拟环境，文件夹名为 `venv` @@ -73,7 +73,7 @@ AINode 是 IoTDB 在 ConfigNode、DataNode 后提供的第三种内生节点， 1. AINode 激活 - 要求 IoTDB 处于正常运行状态，且 license 中有 AINode 模块授权（通常 license 中不具有 AINode 授权，可联系天谋商务或技术支持人员获取 AINode 模块授权）。 + 要求 IoTDB 处于正常运行状态，且 license 中有 AINode 模块授权。 激活 AINode 模块授权方式如下： - 方式一：激活文件拷贝激活