add version 1.3.5 2.0.5

leto-bbq · leto-bbq · commit d112d34c538e · 2025-09-15T11:25:57.000+08:00
diff --git a/src/UserGuide/Master/Table/IoTDB-Introduction/Release-history_apache.md b/src/UserGuide/Master/Table/IoTDB-Introduction/Release-history_apache.md
@@ -20,9 +20,24 @@
 -->
 # Release History
 
+## V2.0.5
+
+> Release Date: 2025.08.21
+
+V2.0.5, as the official release of the Dual-Model Tree-Table system, primarily introduces the tree-to-table view, window functions for the table model, the aggregate function approx_most_frequent, and supports LEFT & RIGHT JOIN as well as ASOF LEFT JOIN. The AINode now includes two new built-in models, Timer-XL and Timer-Sundial, and supports inference capabilities for both tree and table models. Additionally, this version brings comprehensive improvements to database monitoring, performance, and stability. The specific updates are as follows:
+
+* **Query Module**: Supports manual creation of tree-to-table views
+* **Query Module**: Adds window functions for the table model
+* **Query Module**: Adds the aggregate function approx_most_frequent for the table model
+* **Query Module**: Extends JOIN functionality for the table model, supporting LEFT & RIGHT JOIN and ASOF LEFT JOIN
+* **Query Module**: The table model now supports row pattern recognition, enabling the capture of continuous data for analysis and computation
+* **Storage Module**: Adds multiple system tables for the table model, such as VIEWS (table view information) and MODELS (model information)
+* **AI Module**: AINode adds two new built-in models, Timer-XL and Timer-Sundial
+* **AI Module**: AINode supports inference functions for both tree and table models
+
 ## V2.0.4
 
-> Release Time: 2025.07.09
+> Release Date: 2025.07.09
 
 V2.0.4 serves as the official release of the dual-model system for tree and table structures. The table model primarily introduces user-defined table functions (UDTF) and multiple built-in table functions, adds the aggregate function approx_count_distinct, and supports ASOF INNER JOIN for time columns. Additionally, script tools have been categorized and reorganized, with Windows-specific scripts separated. The release also includes comprehensive improvements in database monitoring, performance, and stability. The detailed updates are as follows:
 
@@ -106,6 +121,12 @@ V2.0.1-beta introduces dual tree-table model configuration, supporting standard
 * ​**​Ecosystem Integration​**​:
     * Kubernetes Operator support
 
+## V1.3.5
+
+> Release Date: 2025.09.12
+
+V1.3.5, as a bugfix release based on the previous 1.3.x versions, primarily adjusts the user password encryption algorithm to further enhance data access security. It also optimizes kernel stability and addresses issues reported by the community.
+
 
 ## V1.3.4
 
diff --git a/src/UserGuide/Master/Tree/IoTDB-Introduction/Release-history_apache.md b/src/UserGuide/Master/Tree/IoTDB-Introduction/Release-history_apache.md
@@ -20,9 +20,24 @@
 -->
 # Release History
 
+## V2.0.5
+
+> Release Date: 2025.08.21
+
+V2.0.5, as the official release of the Dual-Model Tree-Table system, primarily introduces the tree-to-table view, window functions for the table model, the aggregate function approx_most_frequent, and supports LEFT & RIGHT JOIN as well as ASOF LEFT JOIN. The AINode now includes two new built-in models, Timer-XL and Timer-Sundial, and supports inference capabilities for both tree and table models. Additionally, this version brings comprehensive improvements to database monitoring, performance, and stability. The specific updates are as follows:
+
+* **Query Module**: Supports manual creation of tree-to-table views
+* **Query Module**: Adds window functions for the table model
+* **Query Module**: Adds the aggregate function approx_most_frequent for the table model
+* **Query Module**: Extends JOIN functionality for the table model, supporting LEFT & RIGHT JOIN and ASOF LEFT JOIN
+* **Query Module**: The table model now supports row pattern recognition, enabling the capture of continuous data for analysis and computation
+* **Storage Module**: Adds multiple system tables for the table model, such as VIEWS (table view information) and MODELS (model information)
+* **AI Module**: AINode adds two new built-in models, Timer-XL and Timer-Sundial
+* **AI Module**: AINode supports inference functions for both tree and table models
+
 ## V2.0.4
 
-> Release Time: 2025.07.09
+> Release Date: 2025.07.09
 
 V2.0.4 serves as the official release of the dual-model system for tree and table structures. The table model primarily introduces user-defined table functions (UDTF) and multiple built-in table functions, adds the aggregate function approx_count_distinct, and supports ASOF INNER JOIN for time columns. Additionally, script tools have been categorized and reorganized, with Windows-specific scripts separated. The release also includes comprehensive improvements in database monitoring, performance, and stability. The detailed updates are as follows:
 
@@ -106,6 +121,12 @@ V2.0.1-beta introduces dual tree-table model configuration, supporting standard
 * ​**​Ecosystem Integration​**​:
     * Kubernetes Operator support
 
+## V1.3.5
+
+> Release Date: 2025.09.12
+
+V1.3.5, as a bugfix release based on the previous 1.3.x versions, primarily adjusts the user password encryption algorithm to further enhance data access security. It also optimizes kernel stability and addresses issues reported by the community.
+
 
 ## V1.3.4
 
diff --git a/src/UserGuide/V1.3.x/IoTDB-Introduction/Release-history_apache.md b/src/UserGuide/V1.3.x/IoTDB-Introduction/Release-history_apache.md
@@ -20,6 +20,13 @@
 -->
 # Release History
 
+## V1.3.5
+
+> Release Date: 2025.09.12
+
+V1.3.5, as a bugfix release based on the previous 1.3.x versions, primarily adjusts the user password encryption algorithm to further enhance data access security. It also optimizes kernel stability and addresses issues reported by the community.
+
+
 ## V1.3.4
 
 > Release Date: 2025.04.18
diff --git a/src/UserGuide/dev-1.3/IoTDB-Introduction/Release-history_apache.md b/src/UserGuide/dev-1.3/IoTDB-Introduction/Release-history_apache.md
@@ -20,6 +20,13 @@
 -->
 # Release History
 
+## V1.3.5
+
+> Release Date: 2025.09.12
+
+V1.3.5, as a bugfix release based on the previous 1.3.x versions, primarily adjusts the user password encryption algorithm to further enhance data access security. It also optimizes kernel stability and addresses issues reported by the community.
+
+
 ## V1.3.4
 
 > Release Date: 2025.04.18
diff --git a/src/UserGuide/latest-Table/IoTDB-Introduction/Release-history_apache.md b/src/UserGuide/latest-Table/IoTDB-Introduction/Release-history_apache.md
@@ -20,9 +20,24 @@
 -->
 # Release History
 
+## V2.0.5
+
+> Release Date: 2025.08.21
+
+V2.0.5, as the official release of the Dual-Model Tree-Table system, primarily introduces the tree-to-table view, window functions for the table model, the aggregate function approx_most_frequent, and supports LEFT & RIGHT JOIN as well as ASOF LEFT JOIN. The AINode now includes two new built-in models, Timer-XL and Timer-Sundial, and supports inference capabilities for both tree and table models. Additionally, this version brings comprehensive improvements to database monitoring, performance, and stability. The specific updates are as follows:
+
+* **Query Module**: Supports manual creation of tree-to-table views
+* **Query Module**: Adds window functions for the table model
+* **Query Module**: Adds the aggregate function approx_most_frequent for the table model
+* **Query Module**: Extends JOIN functionality for the table model, supporting LEFT & RIGHT JOIN and ASOF LEFT JOIN
+* **Query Module**: The table model now supports row pattern recognition, enabling the capture of continuous data for analysis and computation
+* **Storage Module**: Adds multiple system tables for the table model, such as VIEWS (table view information) and MODELS (model information)
+* **AI Module**: AINode adds two new built-in models, Timer-XL and Timer-Sundial
+* **AI Module**: AINode supports inference functions for both tree and table models
+
 ## V2.0.4
 
-> Release Time: 2025.07.09
+> Release Date: 2025.07.09
 
 V2.0.4 serves as the official release of the dual-model system for tree and table structures. The table model primarily introduces user-defined table functions (UDTF) and multiple built-in table functions, adds the aggregate function approx_count_distinct, and supports ASOF INNER JOIN for time columns. Additionally, script tools have been categorized and reorganized, with Windows-specific scripts separated. The release also includes comprehensive improvements in database monitoring, performance, and stability. The detailed updates are as follows:
 
@@ -106,6 +121,12 @@ V2.0.1-beta introduces dual tree-table model configuration, supporting standard
 * ​**​Ecosystem Integration​**​:
     * Kubernetes Operator support
 
+## V1.3.5
+
+> Release Date: 2025.09.12
+
+V1.3.5, as a bugfix release based on the previous 1.3.x versions, primarily adjusts the user password encryption algorithm to further enhance data access security. It also optimizes kernel stability and addresses issues reported by the community.
+
 
 ## V1.3.4
 
diff --git a/src/UserGuide/latest/IoTDB-Introduction/Release-history_apache.md b/src/UserGuide/latest/IoTDB-Introduction/Release-history_apache.md
@@ -20,9 +20,26 @@
 -->
 # Release History
 
+## V2.0.5
+
+> Release Date: 2025.08.21
+
+V2.0.5, as the official release of the Dual-Model Tree-Table system, primarily introduces the tree-to-table view, window functions for the table model, the aggregate function approx_most_frequent, and supports LEFT & RIGHT JOIN as well as ASOF LEFT JOIN. The AINode now includes two new built-in models, Timer-XL and Timer-Sundial, and supports inference capabilities for both tree and table models. Additionally, this version brings comprehensive improvements to database monitoring, performance, and stability. The specific updates are as follows:
+
+* **Query Module**: Supports manual creation of tree-to-table views
+* **Query Module**: Adds window functions for the table model
+* **Query Module**: Adds the aggregate function approx_most_frequent for the table model
+* **Query Module**: Extends JOIN functionality for the table model, supporting LEFT & RIGHT JOIN and ASOF LEFT JOIN
+* **Query Module**: The table model now supports row pattern recognition, enabling the capture of continuous data for analysis and computation
+* **Storage Module**: Adds multiple system tables for the table model, such as VIEWS (table view information) and MODELS (model information)
+* **AI Module**: AINode adds two new built-in models, Timer-XL and Timer-Sundial
+* **AI Module**: AINode supports inference functions for both tree and table models
+
+
+
 ## V2.0.4
 
-> Release Time: 2025.07.09
+> Release Date: 2025.07.09
 
 V2.0.4 serves as the official release of the dual-model system for tree and table structures. The table model primarily introduces user-defined table functions (UDTF) and multiple built-in table functions, adds the aggregate function approx_count_distinct, and supports ASOF INNER JOIN for time columns. Additionally, script tools have been categorized and reorganized, with Windows-specific scripts separated. The release also includes comprehensive improvements in database monitoring, performance, and stability. The detailed updates are as follows:
 
@@ -106,6 +123,12 @@ V2.0.1-beta introduces dual tree-table model configuration, supporting standard
 * ​**​Ecosystem Integration​**​:
     * Kubernetes Operator support
 
+## V1.3.5
+
+> Release Date: 2025.09.12
+
+V1.3.5, as a bugfix release based on the previous 1.3.x versions, primarily adjusts the user password encryption algorithm to further enhance data access security. It also optimizes kernel stability and addresses issues reported by the community.
+
 
 ## V1.3.4
 
diff --git a/src/zh/UserGuide/Master/Table/IoTDB-Introduction/Release-history_apache.md b/src/zh/UserGuide/Master/Table/IoTDB-Introduction/Release-history_apache.md
@@ -20,6 +20,21 @@
 -->
 # 发布历史
 
+## V2.0.5
+
+> 发版时间：2025.08.21
+
+V2.0.5 作为树表双模型正式版本，主要新增树转表视图、表模型窗口函数、聚合函数 approx_most_frequent，并支持 LEFT & RIGHT JOIN、ASOF LEFT JOIN；AINode 新增 Timer-XL、Timer-Sundial 两种内置模型，支持树、表模型推理功能，同时对数据库监控、性能、稳定性进行了全方位提升。具体发布内容如下：
+
+- 查询模块：支持手动创建树转表视图
+- 查询模块：表模型新增窗口函数
+- 查询模块：表模型新增聚合函数 approx_most_frequent
+- 查询模块：表模型 JOIN 功能扩展，支持 LEFT & RIGHT JOIN、ASOF LEFT JOIN
+- 查询模块：表模型支持行模式识别，可捕获连续数据进行分析计算
+- 存储模块：表模型新增多个系统表，例如：VIEWS（表视图信息）、MODELS（模型信息）等
+- AI 模块：AINode 新增 Timer-XL、Timer-Sundial 两种内置模型
+- AI 模块：AINode 支持树模型、表模型的推理功能
+
 ## V2.0.4
 
 > 发版时间：2025.07.09
@@ -89,6 +104,12 @@ V2.0.1-beta 主要新增了树表双模型配置，并配合表模型支持标
 - 脚本与工具：import-data/export-data 脚本迭代，同时兼容 TsFile、CSV 和 SQL 三种类型数据的导入导出
 - 生态集成：支持 Kubernetes Operator
 
+## V1.3.5
+
+> 发版时间：2025.09.12
+
+V1.3.5 作为之前 1.3.x 的 bugfix 版本升级，主要调整用户密码加密算法，进一步强化数据访问安全，同时优化内核稳定性，修复社区反馈问题。
+
 ## V1.3.4
 
 > 发版时间：2025.04.18
diff --git a/src/zh/UserGuide/Master/Tree/IoTDB-Introduction/Release-history_apache.md b/src/zh/UserGuide/Master/Tree/IoTDB-Introduction/Release-history_apache.md
@@ -20,6 +20,21 @@
 -->
 # 发布历史
 
+## V2.0.5
+
+> 发版时间：2025.08.21
+
+V2.0.5 作为树表双模型正式版本，主要新增树转表视图、表模型窗口函数、聚合函数 approx_most_frequent，并支持 LEFT & RIGHT JOIN、ASOF LEFT JOIN；AINode 新增 Timer-XL、Timer-Sundial 两种内置模型，支持树、表模型推理功能，同时对数据库监控、性能、稳定性进行了全方位提升。具体发布内容如下：
+
+- 查询模块：支持手动创建树转表视图
+- 查询模块：表模型新增窗口函数
+- 查询模块：表模型新增聚合函数 approx_most_frequent
+- 查询模块：表模型 JOIN 功能扩展，支持 LEFT & RIGHT JOIN、ASOF LEFT JOIN
+- 查询模块：表模型支持行模式识别，可捕获连续数据进行分析计算
+- 存储模块：表模型新增多个系统表，例如：VIEWS（表视图信息）、MODELS（模型信息）等
+- AI 模块：AINode 新增 Timer-XL、Timer-Sundial 两种内置模型
+- AI 模块：AINode 支持树模型、表模型的推理功能
+
 ## V2.0.4
 
 > 发版时间：2025.07.09
@@ -89,6 +104,12 @@ V2.0.1-beta 主要新增了树表双模型配置，并配合表模型支持标
 - 脚本与工具：import-data/export-data 脚本迭代，同时兼容 TsFile、CSV 和 SQL 三种类型数据的导入导出
 - 生态集成：支持 Kubernetes Operator
 
+## V1.3.5
+
+> 发版时间：2025.09.12
+
+V1.3.5 作为之前 1.3.x 的 bugfix 版本升级，主要调整用户密码加密算法，进一步强化数据访问安全，同时优化内核稳定性，修复社区反馈问题。
+
 ## V1.3.4
 
 > 发版时间：2025.04.18
diff --git a/src/zh/UserGuide/V1.3.x/IoTDB-Introduction/Release-history_apache.md b/src/zh/UserGuide/V1.3.x/IoTDB-Introduction/Release-history_apache.md
@@ -20,6 +20,13 @@
 -->
 # 发版历史
 
+## V1.3.5
+
+> 发版时间：2025.09.12 
+
+V1.3.5 作为之前 1.3.x 的 bugfix 版本升级，主要调整用户密码加密算法，进一步强化数据访问安全，同时优化内核稳定性，修复社区反馈问题。
+
+
 ## V1.3.4
 
 > 发版时间：2025.04.18
diff --git a/src/zh/UserGuide/dev-1.3/IoTDB-Introduction/Release-history_apache.md b/src/zh/UserGuide/dev-1.3/IoTDB-Introduction/Release-history_apache.md
@@ -20,6 +20,12 @@
 -->
 # 发版历史
 
+## V1.3.5
+
+> 发版时间：2025.09.12
+
+V1.3.5 作为之前 1.3.x 的 bugfix 版本升级，主要调整用户密码加密算法，进一步强化数据访问安全，同时优化内核稳定性，修复社区反馈问题。
+
 ## V1.3.4
 
 > 发版时间：2025.04.18
diff --git a/src/zh/UserGuide/latest-Table/IoTDB-Introduction/Release-history_apache.md b/src/zh/UserGuide/latest-Table/IoTDB-Introduction/Release-history_apache.md
@@ -20,6 +20,21 @@
 -->
 # 发布历史
 
+## V2.0.5
+
+> 发版时间：2025.08.21
+
+V2.0.5 作为树表双模型正式版本，主要新增树转表视图、表模型窗口函数、聚合函数 approx_most_frequent，并支持 LEFT & RIGHT JOIN、ASOF LEFT JOIN；AINode 新增 Timer-XL、Timer-Sundial 两种内置模型，支持树、表模型推理功能，同时对数据库监控、性能、稳定性进行了全方位提升。具体发布内容如下：
+
+- 查询模块：支持手动创建树转表视图
+- 查询模块：表模型新增窗口函数
+- 查询模块：表模型新增聚合函数 approx_most_frequent
+- 查询模块：表模型 JOIN 功能扩展，支持 LEFT & RIGHT JOIN、ASOF LEFT JOIN
+- 查询模块：表模型支持行模式识别，可捕获连续数据进行分析计算
+- 存储模块：表模型新增多个系统表，例如：VIEWS（表视图信息）、MODELS（模型信息）等
+- AI 模块：AINode 新增 Timer-XL、Timer-Sundial 两种内置模型
+- AI 模块：AINode 支持树模型、表模型的推理功能
+
 ## V2.0.4
 
 > 发版时间：2025.07.09
@@ -89,6 +104,12 @@ V2.0.1-beta 主要新增了树表双模型配置，并配合表模型支持标
 - 脚本与工具：import-data/export-data 脚本迭代，同时兼容 TsFile、CSV 和 SQL 三种类型数据的导入导出
 - 生态集成：支持 Kubernetes Operator
 
+## V1.3.5
+
+> 发版时间：2025.09.12
+
+V1.3.5 作为之前 1.3.x 的 bugfix 版本升级，主要调整用户密码加密算法，进一步强化数据访问安全，同时优化内核稳定性，修复社区反馈问题。
+
 ## V1.3.4
 
 > 发版时间：2025.04.18
diff --git a/src/zh/UserGuide/latest/IoTDB-Introduction/Release-history_apache.md b/src/zh/UserGuide/latest/IoTDB-Introduction/Release-history_apache.md
@@ -20,6 +20,21 @@
 -->
 # 发布历史
 
+## V2.0.5
+
+> 发版时间：2025.08.21
+
+V2.0.5 作为树表双模型正式版本，主要新增树转表视图、表模型窗口函数、聚合函数 approx_most_frequent，并支持 LEFT & RIGHT JOIN、ASOF LEFT JOIN；AINode 新增 Timer-XL、Timer-Sundial 两种内置模型，支持树、表模型推理功能，同时对数据库监控、性能、稳定性进行了全方位提升。具体发布内容如下：
+
+- 查询模块：支持手动创建树转表视图
+- 查询模块：表模型新增窗口函数
+- 查询模块：表模型新增聚合函数 approx_most_frequent
+- 查询模块：表模型 JOIN 功能扩展，支持 LEFT & RIGHT JOIN、ASOF LEFT JOIN
+- 查询模块：表模型支持行模式识别，可捕获连续数据进行分析计算
+- 存储模块：表模型新增多个系统表，例如：VIEWS（表视图信息）、MODELS（模型信息）等
+- AI 模块：AINode 新增 Timer-XL、Timer-Sundial 两种内置模型
+- AI 模块：AINode 支持树模型、表模型的推理功能
+
 ## V2.0.4
 
 > 发版时间：2025.07.09
@@ -90,6 +105,12 @@ V2.0.1-beta 主要新增了树表双模型配置，并配合表模型支持标
 - 脚本与工具：import-data/export-data 脚本迭代，同时兼容 TsFile、CSV 和 SQL 三种类型数据的导入导出
 - 生态集成：支持 Kubernetes Operator
 
+## V1.3.5
+
+> 发版时间：2025.09.12
+
+V1.3.5 作为之前 1.3.x 的 bugfix 版本升级，主要调整用户密码加密算法，进一步强化数据访问安全，同时优化内核稳定性，修复社区反馈问题。
+
 ## V1.3.4
 
 > 发版时间：2025.04.18
