Merge branch '3.0' into feat/sangshuduo/TD-14141-update-taostools-for3.0

Jenkinsfile2

@@ -53,6 +53,7 @@ def check_docs() {
         }
         sh '''
             cd ${WKC}
+            git remote prune origin
             git pull >/dev/null
             git fetch origin +refs/pull/${CHANGE_ID}/merge
             git checkout -qf FETCH_HEAD

README-CN.md

@@ -210,14 +210,14 @@ cmake .. -G "NMake Makefiles"
 nmake
 ```
 
-### macOS 系统
+<!-- ### macOS 系统
 
 安装 Xcode 命令行工具和 cmake. 在 Catalina 和 Big Sur 操作系统上，需要安装 XCode 11.4+ 版本。
 
 ```bash
 mkdir debug && cd debug
 cmake .. && cmake --build .
-```
+``` -->
 
 # 安装
 

README.md

@@ -211,14 +211,14 @@ cmake .. -G "NMake Makefiles"
 nmake
 ```
 
-### On macOS platform
+<!-- ### On macOS platform
 
 Please install XCode command line tools and cmake. Verified with XCode 11.4+ on Catalina and Big Sur.
 
 ```shell
 mkdir debug && cd debug
 cmake .. && cmake --build .
-```
+``` -->
 
 # Installing
 

cmake/cmake.version

@@ -2,7 +2,7 @@
 IF (DEFINED VERNUMBER)
   SET(TD_VER_NUMBER ${VERNUMBER})
 ELSE ()
-  SET(TD_VER_NUMBER "3.0.0.0")
+  SET(TD_VER_NUMBER "3.0.0.1")
 ENDIF ()
 
 IF (DEFINED VERCOMPATIBLE)

docs/en/01-index.md

@@ -5,7 +5,7 @@ slug: /
 ---
 
 
-TDengine is an open source, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables efficient, real-time data ingestion, processing, and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors.  This document is the TDengine user manual. It introduces the basic, as well as novel concepts, in TDengine, and also talks in detail about installation, features, SQL, APIs, operation, maintenance, kernel design and other topics. It’s written mainly for architects, developers and system administrators.
+TDengine is an [open source](https://tdengine.com/tdengine/open-source-time-series-database/), [cloud native](https://tdengine.com/tdengine/cloud-native-time-series-database/) time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables efficient, real-time data ingestion, processing, and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors.  This document is the TDengine user manual. It introduces the basic, as well as novel concepts, in TDengine, and also talks in detail about installation, features, SQL, APIs, operation, maintenance, kernel design and other topics. It’s written mainly for architects, developers and system administrators.
 
 To get an overview of TDengine, such as a feature list, benchmarks, and competitive advantages, please browse through the [Introduction](./intro) section.
 

docs/en/02-intro/index.md

@@ -3,7 +3,7 @@ title: Introduction
 toc_max_heading_level: 2
 ---
 
-TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. Its code, including its cluster feature is open source under GNU AGPL v3.0. Besides the database engine, it provides [caching](../develop/cache), [stream processing](../develop/stream), [data subscription](../develop/tmq) and other functionalities to reduce the system complexity and cost of development and operation.
+TDengine is an open source, high-performance, cloud native [time-series database](https://tdengine.com/tsdb/) optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. Its code, including its cluster feature is open source under GNU AGPL v3.0. Besides the database engine, it provides [caching](../develop/cache), [stream processing](../develop/stream), [data subscription](../develop/tmq) and other functionalities to reduce the system complexity and cost of development and operation.
 
 This section introduces the major features, competitive advantages, typical use-cases and benchmarks to help you get a high level overview of TDengine.
 
@@ -33,17 +33,18 @@ For more details on features, please read through the entire documentation.
 
 By making full use of [characteristics of time series data](https://tdengine.com/tsdb/characteristics-of-time-series-data/), TDengine differentiates itself from other time series databases, with the following advantages.
 
-- **High-Performance**: TDengine is the only time-series database to solve the high cardinality issue to support billions of data collection points while out performing other time-series databases for data ingestion, querying and data compression.
+- **[High-Performance](https://tdengine.com/tdengine/high-performance-time-series-database/)**: TDengine is the only time-series database to solve the high cardinality issue to support billions of data collection points while out performing other time-series databases for data ingestion, querying and data compression.
 
-- **Simplified Solution**: Through built-in caching, stream processing and data subscription features, TDengine provides a simplified solution for time-series data processing. It reduces system design complexity and operation costs significantly.
+- **[Simplified Solution](https://tdengine.com/tdengine/simplified-time-series-data-solution/)**: Through built-in caching, stream processing and data subscription features, TDengine provides a simplified solution for time-series data processing. It reduces system design complexity and operation costs significantly.
 
-- **Cloud Native**: Through native distributed design, sharding and partitioning, separation of compute and storage, RAFT, support for kubernetes deployment and full observability, TDengine is a cloud native Time-Series Database and can be deployed on public, private or hybrid clouds.
+- **[Cloud Native](https://tdengine.com/tdengine/cloud-native-time-series-database/)**: Through native distributed design, sharding and partitioning, separation of compute and storage, RAFT, support for kubernetes deployment and full observability, TDengine is a cloud native Time-Series Database and can be deployed on public, private or hybrid clouds.
 
-- **Ease of Use**: For administrators, TDengine significantly reduces the effort to deploy and maintain. For developers, it provides a simple interface, simplified solution and seamless integrations for third party tools. For data users, it gives easy data access. 
+- **[Ease of Use](https://tdengine.com/tdengine/easy-time-series-data-platform/)**: For administrators, TDengine significantly reduces the effort to[
+](https://tdengine.com/tdengine/easy-time-series-data-platform/) deploy and maintain. For developers, it provides a simple interface, simplified solution and seamless integrations for third party tools. For data users, it gives easy data access. 
 
-- **Easy Data Analytics**: Through super tables, storage and compute separation, data partitioning by time interval, pre-computation and other means, TDengine makes it easy to explore, format, and get access to data in a highly efficient way. 
+- **[Easy Data Analytics](https://tdengine.com/tdengine/time-series-data-analytics-made-easy/)**: Through super tables, storage and compute separation, data partitioning by time interval, pre-computation and other means, TDengine makes it easy to explore, format, and get access to data in a highly efficient way. 
 
-- **Open Source**: TDengine’s core modules, including cluster feature, are all available under open source licenses. It has gathered over 19k stars on GitHub. There is an active developer community, and over 140k running instances worldwide.
+- **[Open Source](https://tdengine.com/tdengine/open-source-time-series-database/)**: TDengine’s core modules, including cluster feature, are all available under open source licenses. It has gathered over 19k stars on GitHub. There is an active developer community, and over 140k running instances worldwide.
 
 With TDengine, the total cost of ownership of your time-series data platform can be greatly reduced. 1: With its superior performance, the computing and storage resources are reduced significantly；2: With SQL support, it can be seamlessly integrated with many third party tools, and learning costs/migration costs are reduced significantly；3: With its simplified solution and nearly zero management, the operation and maintenance costs are reduced significantly. 
 

docs/en/05-get-started/03-package.md

@@ -67,16 +67,6 @@ Users will be prompted to enter some configuration information when install.sh i
 
 </TabItem>
 
-<TabItem label="Windows" value="windows">           
-
-1. Download the Windows installation package.
-<PkgListV3 type={3}/>
-2. Run the downloaded package to install TDengine.
-:::info
-TDengine only supports Windows Server 2016/2019 and windows 10/11 system versions on the windows platform.
-:::
-
-</TabItem>
 <TabItem value="apt-get" label="apt-get">
 You can use `apt-get` to install TDengine from the official package repository.
 
@@ -105,6 +95,15 @@ sudo apt-get install tdengine
 :::tip
 This installation method is supported only for Debian and Ubuntu.
 ::::
+</TabItem>
+<TabItem label="Windows" value="windows">           
+
+Note: TDengine only supports Windows Server 2016/2019 and windows 10/11 system versions on the windows platform.
+
+1. Download the Windows installation package.
+<PkgListV3 type={3}/>
+2. Run the downloaded package to install TDengine.
+
 </TabItem>
 </Tabs>
 

docs/en/12-taos-sql/10-function.md

@@ -846,7 +846,7 @@ SELECT FIRST(field_name) FROM { tb_name | stb_name } [WHERE clause];
 ### INTERP
 
 ```sql
-SELECT INTERP(field_name) FROM { tb_name | stb_name } [WHERE where_condition] [ RANGE(timestamp1,timestamp2) ] [EVERY(interval)] [FILL ({ VALUE | PREV | NULL | LINEAR | NEXT})];
+SELECT INTERP(field_name) FROM { tb_name | stb_name } [WHERE where_condition] RANGE(timestamp1,timestamp2) EVERY(interval) FILL({ VALUE | PREV | NULL | LINEAR | NEXT});
 ```
 
 **Description**: The value that matches the specified timestamp range is returned, if existing; or an interpolation value is returned.
@@ -861,11 +861,10 @@ SELECT INTERP(field_name) FROM { tb_name | stb_name } [WHERE where_condition] [
 
 - `INTERP` is used to get the value that matches the specified time slice from a column. If no such value exists an interpolation value will be returned based on `FILL` parameter.
 - The input data of `INTERP` is the value of the specified column and a `where` clause can be used to filter the original data. If no `where` condition is specified then all original data is the input.
-- The output time range of `INTERP` is specified by `RANGE(timestamp1,timestamp2)` parameter, with timestamp1<=timestamp2. timestamp1 is the starting point of the output time range and must be specified. timestamp2 is the ending point of the output time range and must be specified. If `RANGE` is not specified, then the timestamp of the first row that matches the filter condition is treated as timestamp1, the timestamp of the last row that matches the filter condition is treated as timestamp2.
-- The number of rows in the result set of `INTERP` is determined by the parameter `EVERY`. Starting from timestamp1, one interpolation is performed for every time interval specified `EVERY` parameter. If `EVERY` parameter is not used, the time windows will be considered as no ending timestamp, i.e. there is only one time window from timestamp1.
-- Interpolation is performed based on `FILL` parameter. No interpolation is performed if `FILL` is not used, that means either the original data that matches is returned or nothing is returned.
-- `INTERP` can only be used to interpolate in single timeline. So it must be used with `group by tbname` when it's used on a STable. It can't be used with `GROUP BY` when it's used in the inner query of a nested query.
-- The result of `INTERP` is not influenced by `ORDER BY TIMESTAMP`, which impacts the output order only..
+- The output time range of `INTERP` is specified by `RANGE(timestamp1,timestamp2)` parameter, with timestamp1<=timestamp2. timestamp1 is the starting point of the output time range and must be specified. timestamp2 is the ending point of the output time range and must be specified. 
+- The number of rows in the result set of `INTERP` is determined by the parameter `EVERY`. Starting from timestamp1, one interpolation is performed for every time interval specified `EVERY` parameter. 
+- Interpolation is performed based on `FILL` parameter. 
+- `INTERP` can only be used to interpolate in single timeline. So it must be used with `partition by tbname` when it's used on a STable.
 
 ### LAST
 

docs/en/14-reference/03-connector/php.mdx

 ---
 sidebar_position: 1
-sidebar_label: PHP
+sidebar_label: PHP (community contribution)
 title: PHP Connector
 ---
 

docs/en/14-reference/03-connector/python.mdx

@@ -150,10 +150,19 @@ If the test is successful, it will output the server version information, e.g.
 
 ```json
 {
-  "status": "succ",
-  "head": ["server_version()"],
-  "column_meta": [["server_version()", 8, 8]],
-  "data": [["2.4.0.16"]],
+  "code": 0,
+  "column_meta": [
+    [
+      "server_version()",
+      "VARCHAR",
+      7
+    ]
+  ],
+  "data": [
+    [
+      "3.0.0.0"
+    ]
+  ],
   "rows": 1
 }
 ```

docs/en/14-reference/04-taosadapter.md

@@ -329,4 +329,4 @@ In TDengine server 2.2.x.x or earlier, the TDengine server process (taosd) conta
 | 3 | telegrafUseFieldNum | See the taosAdapter telegraf configuration method | |
 | 4 | restfulRowLimit | restfulRowLimit | Embedded httpd outputs 10240 rows of data by default, the maximum allowed is 102400. taosAdapter also provides restfulRowLimit but it is not limited by default. You can configure it according to the actual scenario.
 | 5 | httpDebugFlag | Not applicable | httpdDebugFlag does not work for taosAdapter |
-| 6 | httpDBNameMandatory | N/A | taosAdapter requires the database name to be specified in the URL |
+| 6 | httpDBNameMandatory | N/A | taosAdapter requires the database name to be specified in the URL |
\ No newline at end of file

docs/en/14-reference/11-docker/index.md

@@ -115,7 +115,7 @@ If you want to start your application in a container, you need to add the corres
 ```docker
 FROM ubuntu:20.04
 RUN apt-get update && apt-get install -y wget
-ENV TDENGINE_VERSION=2.4.0.0
+ENV TDENGINE_VERSION=3.0.0.0
 RUN wget -c https://www.taosdata.com/assets-download/TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
    && tar xvf TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
    && cd TDengine-client-${TDENGINE_VERSION} \
@@ -216,7 +216,7 @@ Here is the full Dockerfile:
 
 ```docker
 FROM golang:1.17.6-buster as builder
-ENV TDENGINE_VERSION=2.4.0.0
+ENV TDENGINE_VERSION=3.0.0.0
 RUN wget -c https://www.taosdata.com/assets-download/TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
    && tar xvf TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
    && cd TDengine-client-${TDENGINE_VERSION} \
@@ -232,7 +232,7 @@ RUN go build
 
 FROM ubuntu:20.04
 RUN apt-get update && apt-get install -y wget
-ENV TDENGINE_VERSION=2.4.0.0
+ENV TDENGINE_VERSION=3.0.0.0
 RUN wget -c https://www.taosdata.com/assets-download/TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
    && tar xvf TDengine-client-${TDENGINE_VERSION}-Linux-x64.tar.gz \
    && cd TDengine-client-${TDENGINE_VERSION} \
@@ -320,7 +320,7 @@ password:             taosdata
 2. Start the cluster
 
    ```shell
-   $ VERSION=2.4.0.0 docker-compose up -d
+   $ VERSION=3.0.0.0 docker-compose up -d
    Creating network "test_default" with the default driver
    Creating volume "test_taosdata-td1" with default driver
    Creating volume "test_taoslog-td1" with default driver
@@ -457,7 +457,7 @@ If you want to deploy a container-based TDengine cluster on multiple hosts, you
 The docker-compose file can refer to the previous section. Here is the command to start TDengine with docker swarm:
 
 ```shell
-$ VERSION=2.4.0 docker stack deploy -c docker-compose.yml taos
+$ VERSION=3.0.0.0 docker stack deploy -c docker-compose.yml taos
 Creating network taos_inter
 Creating network taos_api
 Creating service taos_arbitrator
@@ -473,20 +473,20 @@ Checking status:
 $ docker stack ps taos
 ID                  NAME                IMAGE                     NODE                DESIRED STATE       CURRENT STATE                ERROR               PORTS
 79ni8temw59n        taos_nginx.1        nginx:latest              TM1701     Running             Running about a minute ago
-3e94u72msiyg        taos_adapter.1      tdengine/tdengine:2.4.0   TM1702     Running             Running 56 seconds ago
-100amjkwzsc6        taos_td-2.1         tdengine/tdengine:2.4.0   TM1703     Running             Running about a minute ago
-pkjehr2vvaaa        taos_td-1.1         tdengine/tdengine:2.4.0   TM1704     Running             Running 2 minutes ago
-tpzvgpsr1qkt        taos_arbitrator.1   tdengine/tdengine:2.4.0   TM1705     Running             Running 2 minutes ago
-rvss3g5yg6fa        taos_adapter.2      tdengine/tdengine:2.4.0   TM1706     Running             Running 56 seconds ago
-i2augxamfllf        taos_adapter.3      tdengine/tdengine:2.4.0   TM1707     Running             Running 56 seconds ago
-lmjyhzccpvpg        taos_adapter.4      tdengine/tdengine:2.4.0   TM1708     Running             Running 56 seconds ago
+3e94u72msiyg        taos_adapter.1      tdengine/tdengine:3.0.0.0   TM1702     Running             Running 56 seconds ago
+100amjkwzsc6        taos_td-2.1         tdengine/tdengine:3.0.0.0   TM1703     Running             Running about a minute ago
+pkjehr2vvaaa        taos_td-1.1         tdengine/tdengine:3.0.0.0   TM1704     Running             Running 2 minutes ago
+tpzvgpsr1qkt        taos_arbitrator.1   tdengine/tdengine:3.0.0.0   TM1705     Running             Running 2 minutes ago
+rvss3g5yg6fa        taos_adapter.2      tdengine/tdengine:3.0.0.0   TM1706     Running             Running 56 seconds ago
+i2augxamfllf        taos_adapter.3      tdengine/tdengine:3.0.0.0   TM1707     Running             Running 56 seconds ago
+lmjyhzccpvpg        taos_adapter.4      tdengine/tdengine:3.0.0.0   TM1708     Running             Running 56 seconds ago
 $ docker service ls
 ID                  NAME                MODE                REPLICAS            IMAGE                     PORTS
-561t4lu6nfw6        taos_adapter        replicated          4/4                 tdengine/tdengine:2.4.0
-3hk5ct3q90sm        taos_arbitrator     replicated          1/1                 tdengine/tdengine:2.4.0
+561t4lu6nfw6        taos_adapter        replicated          4/4                 tdengine/tdengine:3.0.0.0
+3hk5ct3q90sm        taos_arbitrator     replicated          1/1                 tdengine/tdengine:3.0.0.0
 d8qr52envqzu        taos_nginx          replicated          1/1                 nginx:latest              *:6041->6041/tcp, *:6044->6044/udp
-2isssfvjk747        taos_td-1           replicated          1/1                 tdengine/tdengine:2.4.0
-9pzw7u02ichv        taos_td-2           replicated          1/1                 tdengine/tdengine:2.4.0
+2isssfvjk747        taos_td-1           replicated          1/1                 tdengine/tdengine:3.0.0.0
+9pzw7u02ichv        taos_td-2           replicated          1/1                 tdengine/tdengine:3.0.0.0
 ```
 
 From the above output, you can see two dnodes, two taosAdapters, and one Nginx reverse proxy service.
@@ -502,5 +502,5 @@ verify: Service converged
 
 $ docker service ls -f name=taos_adapter
 ID                  NAME                MODE                REPLICAS            IMAGE                     PORTS
-561t4lu6nfw6        taos_adapter        replicated          1/1                 tdengine/tdengine:2.4.0
+561t4lu6nfw6        taos_adapter        replicated          1/1                 tdengine/tdengine:3.0.0.0
 ```

docs/en/20-third-party/06-statsd.md

@@ -39,15 +39,8 @@ $ echo "foo:1|c" | nc -u -w0 127.0.0.1 8125
 Use the TDengine CLI to verify that StatsD data is written to TDengine and can read out correctly.
 
 ```
-Welcome to the TDengine shell from Linux, Client Version:2.4.0.0
-Copyright (c) 2020 by TAOS Data, Inc. All rights reserved.
-
-taos> show databases;
-              name              |      created_time       |   ntables   |   vgroups   | replica | quorum |  days  |           keep           |  cache(MB)  |   blocks    |   minrows   |   maxrows   | wallevel |    fsync    | comp | cachelast | precision | update |   status   |
-====================================================================================================================================================================================================================================================================================
- log                            | 2022-04-20 07:19:50.260 |          11 |           1 |       1 |      1 |     10 | 3650                     |          16 |           6 |         100 |        4096 |        1 |        3000 |    2 |         0 | ms        |      0 | ready      |
- statsd                         | 2022-04-20 09:54:51.220 |           1 |           1 |       1 |      1 |     10 | 3650                     |          16 |           6 |         100 |        4096 |        1 |        3000 |    2 |         0 | ns        |      2 | ready      |
-Query OK, 2 row(s) in set (0.003142s)
+Welcome to the TDengine shell from Linux, Client Version:3.0.0.0
+Copyright (c) 2022 by TAOS Data, Inc. All rights reserved.
 
 taos> use statsd;
 Database changed.

docs/en/25-application/01-telegraf.md

@@ -34,7 +34,7 @@ Please refer to the [official documentation](https://grafana.com/grafana/downloa
 
 ### TDengine
 
-Download the latest TDengine-server 2.4.0.x or above from the [Downloads](http://taosdata.com/cn/all-downloads/) page on the TAOSData website and install it.
+Download the latest TDengine-server from the [Downloads](http://tdengine.com/en/all-downloads/) page on the TAOSData website and install it.
 
 ## Data Connection Setup
 
@@ -79,5 +79,5 @@ Click on the plus icon on the left and select `Import` to get the data from `htt
 
 ## Wrap-up
 
-The above demonstrates how to quickly build a IT DevOps visualization system. Thanks to the new schemaless protocol parsing feature in TDengine version 2.4.0.0 and ability to integrate easily with a large software ecosystem, users can build an efficient and easy-to-use IT DevOps visualization system in just a few minutes.
+The above demonstrates how to quickly build a IT DevOps visualization system. Thanks to the schemaless protocol parsing feature in TDengine and ability to integrate easily with a large software ecosystem, users can build an efficient and easy-to-use IT DevOps visualization system in just a few minutes.
 Please refer to the official documentation and product implementation cases for other features.

docs/en/25-application/02-collectd.md

@@ -37,7 +37,7 @@ Please refer to the [official documentation](https://grafana.com/grafana/downloa
 
 ### Install TDengine
 
-Download the latest TDengine-server 2.4.0.x or above from the [Downloads](http://taosdata.com/cn/all-downloads/) page on the TAOSData website and install it.
+Download the latest TDengine-server from the [Downloads](http://tdengine.com/en/all-downloads/) page on the TAOSData website and install it.
 
 ## Data Connection Setup
 
@@ -99,6 +99,6 @@ Download the dashboard json from `https://github.com/taosdata/grafanaplugin/blob
 
 ## Wrap-up
 
-TDengine, as an emerging time-series big data platform, has the advantages of high performance, high reliability, easy management and easy maintenance. Thanks to the new schemaless protocol parsing feature in TDengine version 2.4.0.0 and ability to integrate easily with a large software ecosystem, users can build an efficient and easy-to-use IT DevOps visualization system, or adapt an existing system, in just a few minutes.
+TDengine, as an emerging time-series big data platform, has the advantages of high performance, high reliability, easy management and easy maintenance. Thanks to the new schemaless protocol parsing feature in TDengine and ability to integrate easily with a large software ecosystem, users can build an efficient and easy-to-use IT DevOps visualization system, or adapt an existing system, in just a few minutes.
 
 For TDengine's powerful data writing and querying performance and other features, please refer to the official documentation and successful product implementation cases.

docs/examples/python/connect_native_reference.py

@@ -11,10 +11,10 @@ conn: taos.TaosConnection = taos.connect(host="localhost",
 server_version = conn.server_info
 print("server_version", server_version)
 client_version = conn.client_info
-print("client_version", client_version)  # 2.4.0.16
+print("client_version", client_version)  # 3.0.0.0
 
 conn.close()
 
 # possible output:
-# 2.4.0.16
-# 2.4.0.16
+# 3.0.0.0
+# 3.0.0.0

docs/zh/05-get-started/03-package.md

@@ -67,16 +67,6 @@ install.sh 安装脚本在执行过程中，会通过命令行交互界面询问
 
 </TabItem>
 
-<TabItem label="Windows 安装" value="windows">           
-
-1. 从列表中下载获得 exe 安装程序；
-<PkgListV3 type={3}/>
-2. 运行可执行程序来安装 TDengine。
-:::info
-目前 TDengine 在 Windows 平台上只支持 Windows server 2016/2019 和 Windows 10/11 系统版本。
-:::
-
-</TabItem>
 <TabItem value="apt-get" label="apt-get">
 可以使用 apt-get 工具从官方仓库安装。
 
@@ -105,11 +95,20 @@ sudo apt-get install tdengine
 :::tip
 apt-get 方式只适用于 Debian 或 Ubuntu 系统
 ::::
+</TabItem>
+<TabItem label="Windows 安装" value="windows">           
+
+注意：目前 TDengine 在 Windows 平台上只支持 Windows server 2016/2019 和 Windows 10/11 系统版本。
+
+1. 从列表中下载获得 exe 安装程序；
+<PkgListV3 type={3}/>
+2. 运行可执行程序来安装 TDengine。
+
 </TabItem>
 </Tabs>
 
 :::info
-下载其他组件、最新 Beta 版及之前版本的安装包，请点击[发布历史页面](../../releases) 
+下载其他组件、最新 Beta 版及之前版本的安装包，请点击[发布历史页面](../../releases/tdengine) 
 :::
 
 :::note

docs/zh/05-get-started/_pkg_install.mdx

-import PkgList from "/components/PkgList";
-
-TDengine 的安装非常简单，从下载到安装成功仅仅只要几秒钟。
-
-为方便使用，从 2.4.0.10 开始，标准的服务端安装包包含了 taos、taosd、taosAdapter、taosdump、taosBenchmark、TDinsight 安装脚本和示例代码；如果您只需要用到服务端程序和客户端连接的 C/C++ 语言支持，也可以仅下载 lite 版本的安装包。
-
-在安装包格式上，我们提供 tar.gz, rpm 和 deb 格式，为企业客户提供 tar.gz 格式安装包，以方便在特定操作系统上使用。需要注意的是，rpm 和 deb 包不含 taosdump、taosBenchmark 和 TDinsight 安装脚本，这些工具需要通过安装 taosTool 包获得。
-
-发布版本包括稳定版和 Beta 版，Beta 版含有更多新功能。正式上线或测试建议安装稳定版。您可以根据需要选择下载：
-
-<PkgList type={0}/>
-
-具体的安装方法，请参见[安装包的安装和卸载](/operation/pkg-install)。
-
-下载其他组件、最新 Beta 版及之前版本的安装包，请点击[这里](https://www.taosdata.com/all-downloads)
-
-查看 Release Notes, 请点击[这里](https://github.com/taosdata/TDengine/releases) 

docs/zh/07-develop/01-connect/index.md

@@ -223,7 +223,7 @@ phpize && ./configure && make -j && make install
 **手动指定 TDengine 目录：**
 
 ```shell
-phpize && ./configure --with-tdengine-dir=/usr/local/Cellar/tdengine/2.4.0.0 && make -j && make install
+phpize && ./configure --with-tdengine-dir=/usr/local/Cellar/tdengine/3.0.0.0 && make -j && make install
 ```
 
 > `--with-tdengine-dir=` 后跟上 TDengine 目录。

docs/zh/12-taos-sql/10-function.md

@@ -846,7 +846,7 @@ SELECT FIRST(field_name) FROM { tb_name | stb_name } [WHERE clause];
 ### INTERP
 
 ```sql
-SELECT INTERP(field_name) FROM { tb_name | stb_name } [WHERE where_condition] [ RANGE(timestamp1,timestamp2) ] [EVERY(interval)] [FILL ({ VALUE | PREV | NULL | LINEAR | NEXT})];
+SELECT INTERP(field_name) FROM { tb_name | stb_name } [WHERE where_condition] RANGE(timestamp1,timestamp2) EVERY(interval) FILL({ VALUE | PREV | NULL | LINEAR | NEXT});
 ```
 
 **功能说明**：返回指定时间截面指定列的记录值或插值。
@@ -855,17 +855,16 @@ SELECT INTERP(field_name) FROM { tb_name | stb_name } [WHERE where_condition] [
 
 **适用数据类型**：数值类型。
 
-**适用于**：表、超级表。
+**适用于**：表和超级表。
 
 **使用说明**
 
 - INTERP 用于在指定时间断面获取指定列的记录值，如果该时间断面不存在符合条件的行数据，那么会根据 FILL 参数的设定进行插值。
 - INTERP 的输入数据为指定列的数据，可以通过条件语句（where 子句）来对原始列数据进行过滤，如果没有指定过滤条件则输入为全部数据。
-- INTERP 的输出时间范围根据 RANGE(timestamp1,timestamp2)字段来指定，需满足 timestamp1<=timestamp2。其中 timestamp1（必选值）为输出时间范围的起始值，即如果 timestamp1 时刻符合插值条件则 timestamp1 为输出的第一条记录，timestamp2（必选值）为输出时间范围的结束值，即输出的最后一条记录的 timestamp 不能大于 timestamp2。如果没有指定 RANGE，那么满足过滤条件的输入数据中第一条记录的 timestamp 即为 timestamp1，最后一条记录的 timestamp 即为 timestamp2，同样也满足 timestamp1 <= timestamp2。
+- INTERP 的输出时间范围根据 RANGE(timestamp1,timestamp2)字段来指定，需满足 timestamp1<=timestamp2。其中 timestamp1（必选值）为输出时间范围的起始值，即如果 timestamp1 时刻符合插值条件则 timestamp1 为输出的第一条记录，timestamp2（必选值）为输出时间范围的结束值，即输出的最后一条记录的 timestamp 不能大于 timestamp2。
 - INTERP 根据 EVERY 字段来确定输出时间范围内的结果条数，即从 timestamp1 开始每隔固定长度的时间（EVERY 值）进行插值。如果没有指定 EVERY，则默认窗口大小为无穷大，即从 timestamp1 开始只有一个窗口。
-- INTERP 根据 FILL 字段来决定在每个符合输出条件的时刻如何进行插值，如果没有 FILL 字段则默认不插值，即输出为原始记录值或不输出（原始记录不存在）。
-- INTERP 只能在一个时间序列内进行插值，因此当作用于超级表时必须跟 group by tbname 一起使用，当作用嵌套查询外层时内层子查询不能含 GROUP BY 信息。
-- INTERP 的插值结果不受 ORDER BY timestamp 的影响，ORDER BY timestamp 只影响输出结果的排序。
+- INTERP 根据 FILL 字段来决定在每个符合输出条件的时刻如何进行插值。
+- INTERP 只能在一个时间序列内进行插值，因此当作用于超级表时必须跟 partition by tbname 一起使用。
 
 ### LAST
 

docs/zh/12-taos-sql/18-escape.md

@@ -15,9 +15,6 @@ title: 转义字符说明
 |   `\%`   | % 规则见下     |
 |   `\_`   | \_ 规则见下    |
 
-:::note
-转义符的功能从 2.4.0.4 版本开始
-
 :::
 
 ## 转义字符使用规则

docs/zh/14-reference/03-connector/_linux_install.mdx

@@ -4,7 +4,7 @@ import PkgListV3 from "/components/PkgListV3";
   
   <PkgListV3 type={1} sys="Linux" />
 
-   [所有下载](../../releases)
+   [所有下载](../../releases/tdengine)
 
 2. 解压缩软件包
 

docs/zh/14-reference/03-connector/_windows_install.mdx

@@ -4,7 +4,8 @@ import PkgListV3 from "/components/PkgListV3";
 
    <PkgListV3 type={4} sys="Windows" />
 
-   [所有下载](../../releases)
+   [所有下载](../../releases/tdengine)
+   
 2. 执行安装程序，按提示选择默认值，完成安装
 3. 安装路径
 

docs/zh/14-reference/03-connector/php.mdx

 ---
 sidebar_position: 1
-sidebar_label: PHP
+sidebar_label: PHP（社区贡献）
 title: PHP Connector
 ---
 
@@ -61,7 +61,7 @@ phpize && ./configure && make -j && make install
 **手动指定 tdengine 目录：**
 
 ```shell
-phpize && ./configure --with-tdengine-dir=/usr/local/Cellar/tdengine/2.4.0.0 && make -j && make install
+phpize && ./configure --with-tdengine-dir=/usr/local/Cellar/tdengine/3.0.0.0 && make -j && make install
 ```
 
 > `--with-tdengine-dir=` 后跟上 tdengine 目录。

docs/zh/14-reference/03-connector/python.mdx

@@ -150,10 +150,19 @@ curl -u root:taosdata http://<FQDN>:<PORT>/rest/sql -d "select server_version()"
 
 ```json
 {
-  "status": "succ",
-  "head": ["server_version()"],
-  "column_meta": [["server_version()", 8, 8]],
-  "data": [["2.4.0.16"]],
+  "code": 0,
+  "column_meta": [
+    [
+      "server_version()",
+      "VARCHAR",
+      7
+    ]
+  ],
+  "data": [
+    [
+      "3.0.0.0"
+    ]
+  ],
   "rows": 1
 }
 ```

docs/zh/14-reference/04-taosadapter.md

@@ -30,7 +30,7 @@ taosAdapter 提供以下功能：
 
 ### 安装 taosAdapter
 
-taosAdapter 从 TDengine v2.4.0.0 版本开始成为 TDengine 服务端软件 的一部分，如果您使用 TDengine server 您不需要任何额外的步骤来安装 taosAdapter。您可以从[涛思数据官方网站](https://taosdata.com/cn/all-downloads/)下载 TDengine server（taosAdapter 包含在 v2.4.0.0 及以上版本）安装包。如果需要将 taosAdapter 分离部署在 TDengine server 之外的服务器上，则应该在该服务器上安装完整的 TDengine 来安装 taosAdapter。如果您需要使用源代码编译生成 taosAdapter，您可以参考[构建 taosAdapter](https://github.com/taosdata/taosadapter/blob/3.0/BUILD-CN.md)文档。
+taosAdapter 是 TDengine 服务端软件 的一部分，如果您使用 TDengine server 您不需要任何额外的步骤来安装 taosAdapter。您可以从[涛思数据官方网站](https://taosdata.com/cn/all-downloads/)下载 TDengine server 安装包。如果需要将 taosAdapter 分离部署在 TDengine server 之外的服务器上，则应该在该服务器上安装完整的 TDengine 来安装 taosAdapter。如果您需要使用源代码编译生成 taosAdapter，您可以参考[构建 taosAdapter](https://github.com/taosdata/taosadapter/blob/3.0/BUILD-CN.md)文档。
 
 ### start/stop taosAdapter
 
@@ -329,4 +329,4 @@ taosAdapter 通过参数 `restfulRowLimit` 来控制结果的返回条数，-1
 | 3     | telegrafUseFieldNum | 请参考 taosAdapter telegraf 配置方法 |
 | 4     | restfulRowLimit     | restfulRowLimit               | 内嵌 httpd 默认输出 10240 行数据，最大允许值为 102400。taosAdapter 也提供 restfulRowLimit 但是默认不做限制。您可以根据实际场景需求进行配置 |
 | 5     | httpDebugFlag       | 不适用                           | httpdDebugFlag 对 taosAdapter 不起作用                                                              |
-| 6     | httpDBNameMandatory | 不适用                           | taosAdapter 要求 URL 中必须指定数据库名                                                                   |
+| 6     | httpDBNameMandatory | 不适用                           | taosAdapter 要求 URL 中必须指定数据库名                                                                   |
\ No newline at end of file

docs/zh/14-reference/07-tdinsight/index.md → docs/zh/14-reference/07-tdinsight/index.mdx

@@ -3,19 +3,28 @@ title: TDinsight - 基于Grafana的TDengine零依赖监控解决方案
 sidebar_label: TDinsight
 ---
 
-TDinsight 是使用内置监控数据库和 [Grafana] 对 TDengine 进行监控的解决方案。
+TDinsight 是使用监控数据库和 [Grafana] 对 TDengine 进行监控的解决方案。
 
-TDengine 启动后，会自动创建一个监测数据库 `log`，并自动将服务器的 CPU、内存、硬盘空间、带宽、请求数、磁盘读写速度、慢查询等信息定时写入该数据库，并对重要的系统操作（比如登录、创建、删除数据库等）以及各种错误报警信息进行记录。通过 [Grafana] 和 [TDengine 数据源插件](https://github.com/taosdata/grafanaplugin/releases)，TDinsight 将集群状态、节点信息、插入及查询请求、资源使用情况等进行可视化展示，同时还支持 vnode、dnode、mnode 节点状态异常告警，为开发者实时监控 TDengine 集群运行状态提供了便利。本文将指导用户安装 Grafana 服务器并通过 `TDinsight.sh` 安装脚本自动安装 TDengine 数据源插件及部署 TDinsight 可视化面板。
+TDengine 通过 [taosKeeper](../taosKeeper) 将服务器的 CPU、内存、硬盘空间、带宽、请求数、磁盘读写速度、慢查询等信息定时写入指定数据库，并对重要的系统操作（比如登录、创建、删除数据库等）以及各种错误报警信息进行记录。通过 [Grafana] 和 [TDengine 数据源插件](https://github.com/taosdata/grafanaplugin/releases)，TDinsight 将集群状态、节点信息、插入及查询请求、资源使用情况等进行可视化展示，同时还支持 vnode、dnode、mnode 节点状态异常告警，为开发者实时监控 TDengine 集群运行状态提供了便利。本文将指导用户安装 Grafana 服务器并通过 `TDinsight.sh` 安装脚本自动安装 TDengine 数据源插件及部署 TDinsight 可视化面板。
 
 ## 系统要求
 
-要部署 TDinsight，需要一个单节点的 TDengine 服务器或一个多节点的 [TDengine] 集群，以及一个[Grafana]服务器。此仪表盘需要 TDengine 2.3.3.0 及以上，并启用 `log` 数据库（`monitor = 1`）。
+- 单节点的 TDengine 服务器或多节点的 [TDengine] 集群，以及一个[Grafana]服务器。此仪表盘需要 TDengine 3.0.0.0 及以上，并开启监控服务，具体配置请参考：[TDengine 监控配置](../config/#监控相关)。
+- taosAdapter 已经安装并正常运行。具体细节请参考：[taosAdapter 使用手册](../taosadapter)
+- taosKeeper 已安装并正常运行。具体细节请参考：[taosKeeper 使用手册](../taosKeeper)
+
+记录以下信息：
+
+- taosAdapter 集群 REST API 地址，如：`http://tdengine.local:6041`。
+- taosAdapter 集群认证信息，可使用用户名及密码。
+- taosKeeper 记录监控指标的数据库名称。
 
 ## 安装 Grafana
 
-我们建议在此处使用最新的[Grafana] 7 或 8 版本。您可以在任何[支持的操作系统](https://grafana.com/docs/grafana/latest/installation/requirements/#supported-operating-systems)中，按照 [Grafana 官方文档安装说明](https://grafana.com/docs/grafana/latest/installation/) 安装 [Grafana]。
+我们建议在此处使用最新的[Grafana] 8 或 9 版本。您可以在任何[支持的操作系统](https://grafana.com/docs/grafana/latest/installation/requirements/#supported-operating-systems)中，按照 [Grafana 官方文档安装说明](https://grafana.com/docs/grafana/latest/installation/) 安装 [Grafana]。
 
-### 在 Debian 或 Ubuntu 上安装 Grafana
+<Tabs defaultValue="debian" groupId="install">
+<TabItem value="debian" label="基于 Debian 或 Ubuntu 系统">
 
 对于 Debian 或 Ubuntu 操作系统，建议使用 Grafana 镜像仓库。使用如下命令从零开始安装：
 
@@ -31,6 +40,8 @@ sudo apt-get install grafana
 ```
 
 ### 在 CentOS / RHEL 上安装 Grafana
+</TabItem>
+<TabItem label="redhat" value="基于 CentOS / RHEL 系统">
 
 您可以从官方 YUM 镜像仓库安装。
 
@@ -59,7 +70,12 @@ sudo yum install \
   https://dl.grafana.com/oss/release/grafana-7.5.11-1.x86_64.rpm
 ```
 
-## 自动部署 TDinsight
+</TabItem>
+
+</Tabs>
+
+<Tabs defaultValue="auto" groupId="deploy">
+<TabItem value="auto" label="自动部署 TDinsight">
 
 我们提供了一个自动化安装脚本 [`TDinsight.sh`](https://github.com/taosdata/grafanaplugin/releases/latest/download/TDinsight.sh) 脚本以便用户快速进行安装配置。
 
@@ -71,7 +87,7 @@ chmod +x TDinsight.sh
 ./TDinsight.sh
 ```
 
-这个脚本会自动下载最新的[Grafana TDengine 数据源插件](https://github.com/taosdata/grafanaplugin/releases/latest) 和 [TDinsight 仪表盘](https://grafana.com/grafana/dashboards/15167) ，将命令行选项中的可配置参数转为 [Grafana Provisioning](https://grafana.com/docs/grafana/latest/administration/provisioning/) 配置文件，以进行自动化部署及更新等操作。利用该脚本提供的告警设置选项，你还可以获得内置的阿里云短信告警通知支持。
+这个脚本会自动下载最新的[Grafana TDengine 数据源插件](https://github.com/taosdata/grafanaplugin/releases/latest) 和 [TDinsight 仪表盘](https://github.com/taosdata/grafanaplugin/blob/master/dashboards/TDinsightV3.json) ，将命令行选项中的可配置参数转为 [Grafana Provisioning](https://grafana.com/docs/grafana/latest/administration/provisioning/) 配置文件，以进行自动化部署及更新等操作。利用该脚本提供的告警设置选项，你还可以获得内置的阿里云短信告警通知支持。
 
 假设您在同一台主机上使用 TDengine 和 Grafana 的默认服务。运行 `./TDinsight.sh` 并打开 Grafana 浏览器窗口就可以看到 TDinsight 仪表盘了。
 
@@ -106,18 +122,6 @@ Install and configure TDinsight dashboard in Grafana on Ubuntu 18.04/20.04 syste
 
 -E, --external-notifier <string>            Apply external notifier uid to TDinsight dashboard.
 
-Aliyun SMS as Notifier:
--s, --sms-enabled                           To enable tdengine-datasource plugin builtin Aliyun SMS webhook.
--N, --sms-notifier-name <string>            Provisioning notifier name.[default: TDinsight Builtin SMS]
--U, --sms-notifier-uid <string>             Provisioning notifier uid, use lowercase notifier name by default.
--D, --sms-notifier-is-default               Set notifier as default.
--I, --sms-access-key-id <string>            Aliyun SMS access key id
--K, --sms-access-key-secret <string>        Aliyun SMS access key secret
--S, --sms-sign-name <string>                Sign name
--C, --sms-template-code <string>            Template code
--T, --sms-template-param <string>           Template param, a escaped JSON string like '{"alarm_level":"%s","time":"%s","name":"%s","content":"%s"}'
--B, --sms-phone-numbers <string>            Comma-separated numbers list, eg "189xxxxxxxx,132xxxxxxxx"
--L, --sms-listen-addr <string>              [default: 127.0.0.1:9100]
 ```
 
 大多数命令行选项都可以通过环境变量获得同样的效果。
@@ -136,17 +140,6 @@ Aliyun SMS as Notifier:
 | -t     | --tdinsight-title          | TDINSIGHT_DASHBOARD_TITLE    | TDinsight 仪表盘标题。 [默认：TDinsight]                                    |
 | -e     | --tdinsight-可编辑         | TDINSIGHT_DASHBOARD_EDITABLE | 如果配置仪表盘可以编辑。 [默认值：false]                                    |
 | -E     | --external-notifier        | EXTERNAL_NOTIFIER            | 将外部通知程序 uid 应用于 TDinsight 仪表盘。                                |
-| -s     | --sms-enabled              | SMS_ENABLED                  | 启用阿里云短信 webhook 内置的 tdengine-datasource 插件。                    |
-| -N     | --sms-notifier-name        | SMS_NOTIFIER_NAME            | 供应通知程序名称。[默认：`TDinsight Builtin SMS`]                           |
-| -U     | --sms-notifier-uid         | SMS_NOTIFIER_UID             | "Notification Channel" `uid`，默认使用程序名称的小写，其他字符用 “-” 代替。 |
-| -D     | --sms-notifier-is-default  | SMS_NOTIFIER_IS_DEFAULT      | 将内置短信通知设置为默认值。                                                |
-| -I     | --sms-access-key-id        | SMS_ACCESS_KEY_ID            | 阿里云短信访问密钥 id                                                       |
-| -K     | --sms-access-key-secret    | SMS_ACCESS_KEY_SECRET        | 阿里云短信访问秘钥                                                          |
-| -S     | --sms-sign-name            | SMS_SIGN_NAME                | 签名                                                                        |
-| -C     | --sms-template-code        | SMS_TEMPLATE_CODE            | 模板代码                                                                    |
-| -T     | --sms-template-param       | SMS_TEMPLATE_PARAM           | 模板参数的 JSON 模板                                                        |
-| -B     | --sms-phone-numbers        | SMS_PHONE_NUMBERS            | 逗号分隔的手机号列表，例如`"189xxxxxxxx,132xxxxxxxx"`                       |
-| -L     | --sms-listen-addr          | SMS_LISTEN_ADDR              | 内置 SMS webhook 监听地址，默认为`127.0.0.1:9100`                           |
 
 假设您在主机 `tdengine` 上启动 TDengine 数据库，HTTP API 端口为 `6041`，用户为 `root1`，密码为 `pass5ord`。执行脚本：
 
@@ -166,31 +159,18 @@ curl --no-progress-meter -u admin:admin http://localhost:3000/api/alert-notifica
 sudo ./TDinsight.sh -a http://tdengine:6041 -u root1 -p pass5ord -E existing-notifier
 ```
 
-如果你想使用[阿里云短信](https://www.aliyun.com/product/sms)服务作为通知渠道，你应该使用`-s`标志启用并添加以下参数：
-
-- `-N`：Notification Channel 名，默认为`TDinsight Builtin SMS`。
-- `-U`：Channel uid，默认是 `name` 的小写，任何其他字符都替换为 - ，对于默认的 `-N`，其 uid 为 `tdinsight-builtin-sms`。
-- `-I`：阿里云短信访问密钥 id。
-- `-K`：阿里云短信访问秘钥。
-- `-S`：阿里云短信签名。
-- `-C`：阿里云短信模板 ID。
-- `-T`：阿里云短信模板参数，为 JSON 格式模板，示例如下 `'{"alarm_level":"%s","time":"%s","name":"%s","content":"%s "}'`。有四个参数：告警级别、时间、名称和告警内容。
-- `-B`：电话号码列表，以逗号`,`分隔。
-
 如果要监控多个 TDengine 集群，则需要设置多个 TDinsight 仪表盘。设置非默认 TDinsight 需要进行一些更改： `-n` `-i` `-t` 选项需要更改为非默认名称，如果使用 内置短信告警功能，`-N` 和 `-L` 也应该改变。
 
 ```bash
 sudo ./TDengine.sh -n TDengine-Env1 -a http://another:6041 -u root -p taosdata -i tdinsight-env1 -t 'TDinsight Env1'
-# 如果使用内置短信通知
-sudo ./TDengine.sh -n TDengine-Env1 -a http://another:6041 -u root -p taosdata -i tdinsight-env1 -t 'TDinsight Env1' \
-  -s -N 'Env1 SMS' -I xx -K xx -S xx -C SMS_XX -T '' -B 00000000000 -L 127.0.0.01:10611
 ```
 
 请注意，配置数据源、通知 Channel 和仪表盘在前端是不可更改的。您应该再次通过此脚本更新配置或手动更改 `/etc/grafana/provisioning` 目录（这是 Grafana 的默认目录，根据需要使用`-P`选项更改）中的配置文件。
 
 特别地，当您使用 Grafana Cloud 或其他组织时，`-O` 可用于设置组织 ID。 `-G` 可指定 Grafana 插件安装目录。 `-e` 参数将仪表盘设置为可编辑。
 
-## 手动设置 TDinsight
+</TabItem>
+<TabItem label="manual" value="手动设置 TDinsight">
 
 ### 安装 TDengine 数据源插件
 
@@ -247,23 +227,30 @@ sudo systemctl enable grafana-server
 
 ![TDengine Database TDinsight 数据源测试](./assets/howto-add-datasource-test.webp)
 
+</TabItem>
+</Tabs>
+
 ### 导入仪表盘
 
-指向 **+** / **Create** - **import**（或 `/dashboard/import` url）。
+在配置 TDengine 数据源界面，点击 **Dashboards** tab。
 
 ![TDengine Database TDinsight 导入仪表盘和配置](./assets/import_dashboard.webp)
 
-在 **Import via grafana.com** 位置键入仪表盘 ID `15167` 并 **Load**。
+选择 `TDengine for 3.x`，并点击 `import`。
+
+导入完成后，在搜索界面已经出现了 **TDinsight for 3.x** dashboard。
+
+![TDengine Database TDinsight 查看导入结果](./assets/import_dashboard_view.webp)
 
-![通过 grafana.com 导入](./assets/import-dashboard-15167.webp)
+进入 TDinsight for 3.x dashboard 后，选择 taosKeeper 中设置的记录监控指标的数据库。
 
-导入完成后，TDinsight 的完整页面视图如下所示。
+![TDengine Database TDinsight 选择数据库](./assets/select_dashboard_db.webp)
 
-![TDengine Database TDinsight 显示](./assets/TDinsight-full.webp)
+然后可以看到监控结果。
 
 ## TDinsight 仪表盘详细信息
 
-TDinsight 仪表盘旨在提供 TDengine 相关资源使用情况[dnodes, mnodes, vnodes](https://www.taosdata.com/cn/documentation/architecture#cluster)或数据库的使用情况和状态。
+TDinsight 仪表盘旨在提供 TDengine 相关资源的使用情况和状态，比如 dnodes、 mnodes、 vnodes 和数据库等。
 
 指标详情如下：
 
@@ -285,7 +272,6 @@ TDinsight 仪表盘旨在提供 TDengine 相关资源使用情况[dnodes, mnodes
 - **Measuring Points Used**：启用告警规则的测点数用量（社区版无数据，默认情况下是健康的）。
 - **Grants Expire Time**：启用告警规则的企业版过期时间（社区版无数据，默认情况是健康的）。
 - **Error Rate**：启用警报的集群总合错误率（每秒平均错误数）。
-- **Variables**：`show variables` 表格展示。
 
 ### DNodes 状态
 
@@ -294,7 +280,6 @@ TDinsight 仪表盘旨在提供 TDengine 相关资源使用情况[dnodes, mnodes
 - **DNodes Status**：`show dnodes` 的简单表格视图。
 - **DNodes Lifetime**：从创建 dnode 开始经过的时间。
 - **DNodes Number**：DNodes 数量变化。
-- **Offline Reason**：如果有任何 dnode 状态为离线，则以饼图形式展示离线原因。
 
 ### MNode 概述
 
@@ -309,7 +294,6 @@ TDinsight 仪表盘旨在提供 TDengine 相关资源使用情况[dnodes, mnodes
 
 1. **Requests Rate(Inserts per Second)**：平均每秒插入次数。
 2. **Requests (Selects)**：查询请求数及变化率（count of second）。
-3. **Requests (HTTP)**：HTTP 请求数和请求速率（count of second）。
 
 ### 数据库
 
@@ -319,9 +303,8 @@ TDinsight 仪表盘旨在提供 TDengine 相关资源使用情况[dnodes, mnodes
 
 1. **STables**：超级表数量。
 2. **Total Tables**：所有表数量。
-3. **Sub Tables**：所有超级表子表的数量。
-4. **Tables**：所有普通表数量随时间变化图。
-5. **Tables Number Foreach VGroups**：每个 VGroups 包含的表数量。
+3. **Tables**：所有普通表数量随时间变化图。
+4. **Tables Number Foreach VGroups**：每个 VGroups 包含的表数量。
 
 ### DNode 资源使用情况
 
@@ -356,12 +339,11 @@ TDinsight 仪表盘旨在提供 TDengine 相关资源使用情况[dnodes, mnodes
 
 支持监控 taosAdapter 请求统计和状态详情。包括：
 
-1. **http_request**: 包含总请求数，请求失败数以及正在处理的请求数
-2. **top 3 request endpoint**: 按终端分组，请求排名前三的数据
-3. **Memory Used**: taosAdapter 内存使用情况
-4. **latency_quantile(ms)**: (1, 2, 5, 9, 99)阶段的分位数
-5. **top 3 failed request endpoint**: 按终端分组，请求失败排名前三的数据
-6. **CPU Used**: taosAdapter CPU 使用情况
+1. **http_request_inflight**: 即时处理请求数
+2. **http_request_total**: 请求总数。
+3. **http_request_fail**: 请求总数。
+4. **CPU Used**: taosAdapter CPU 使用情况。
+5. **Memory Used**: taosAdapter 内存使用情况。
 
 ## 升级
 
@@ -403,13 +385,6 @@ services:
       TDENGINE_API: ${TDENGINE_API}
       TDENGINE_USER: ${TDENGINE_USER}
       TDENGINE_PASS: ${TDENGINE_PASS}
-      SMS_ACCESS_KEY_ID: ${SMS_ACCESS_KEY_ID}
-      SMS_ACCESS_KEY_SECRET: ${SMS_ACCESS_KEY_SECRET}
-      SMS_SIGN_NAME: ${SMS_SIGN_NAME}
-      SMS_TEMPLATE_CODE: ${SMS_TEMPLATE_CODE}
-      SMS_TEMPLATE_PARAM: '${SMS_TEMPLATE_PARAM}'
-      SMS_PHONE_NUMBERS: $SMS_PHONE_NUMBERS
-      SMS_LISTEN_ADDR: ${SMS_LISTEN_ADDR}
     ports:
       - 3000:3000
 volumes:

docs/zh/14-reference/12-directory.md

@@ -30,7 +30,7 @@ TDengine 的所有可执行文件默认存放在 _/usr/local/taos/bin_ 目录下
 - _taosd-dump-cfg.gdb_：用于方便调试 taosd 的 gdb 执行脚本。
 
 :::note
-2.4.0.0 版本之后的 taosBenchmark 和 taosdump 需要安装独立安装包 taosTools。
+taosdump 需要安装独立安装包 taosTools。
 
 :::
 

docs/zh/17-operation/10-monitor.md

@@ -2,13 +2,13 @@
 title: 系统监控
 ---
 
-TDengine 启动后，会自动创建一个监测数据库 log，并自动将服务器的 CPU、内存、硬盘空间、带宽、请求数、磁盘读写速度、慢查询等信息定时写入该数据库。TDengine 还将重要的系统操作（比如登录、创建、删除数据库等）日志以及各种错误报警信息记录下来存放在 log 库里。系统管理员可以从 CLI 直接查看这个数据库，也可以在 WEB 通过图形化界面查看这些监测信息。
+TDengine 通过 [taosKeeper](/reference/taosKeeper/) 将服务器的 CPU、内存、硬盘空间、带宽、请求数、磁盘读写速度等信息定时写入指定数据库。TDengine 还将重要的系统操作（比如登录、创建、删除数据库等）日志以及各种错误报警信息进行记录。系统管理员可以从 CLI 直接查看这个数据库，也可以在 WEB 通过图形化界面查看这些监测信息。
 
 这些监测信息的采集缺省是打开的，但可以修改配置文件里的选项 monitor 将其关闭或打开。
 
 ## TDinsight - 使用监控数据库 + Grafana 对 TDengine 进行监控的解决方案
 
-从 2.3.3.0 开始，监控数据库将提供更多的监控项，您可以从 [TDinsight Grafana Dashboard](https://grafana.com/grafana/dashboards/15167) 了解如何使用 TDinsight 方案对 TDengine 进行监控。
+监控数据库将提供更多的监控项，您可以从 [TDinsight Grafana Dashboard](/reference/tdinsight/) 了解如何使用 TDinsight 方案对 TDengine 进行监控。
 
 我们提供了一个自动化脚本 `TDinsight.sh` 对 TDinsight 进行部署。
 
@@ -34,21 +34,6 @@ chmod +x TDinsight.sh
      sudo ./TDinsight.sh -a http://localhost:6041 -u root -p taosdata -E <notifier uid>
      ```
 
-   - 使用 TDengine 数据源插件内置的阿里云短信告警通知，使用 `-s` 启用之，并设置如下参数：
-
-     1. 阿里云短信服务 Key ID，参数 `-I`
-     2. 阿里云短信服务 Key Secret，参数 `K`
-     3. 阿里云短信服务签名，参数 `-S`
-     4. 短信通知模板号，参数 `-C`
-     5. 短信通知模板输入参数，JSON 格式，参数 `-T`，如 `{"alarm_level":"%s","time":"%s","name":"%s","content":"%s"}`
-     6. 逗号分隔的通知手机列表，参数 `-B`
-
-     ```bash
-     sudo ./TDinsight.sh -a http://localhost:6041 -u root -p taosdata -s \
-       -I XXXXXXX -K XXXXXXXX -S taosdata -C SMS_1111111 -B 18900000000 \
-       -T '{"alarm_level":"%s","time":"%s","name":"%s","content":"%s"}'
-     ```
-
 运行程序并重启 Grafana 服务，打开面板：`http://localhost:3000/d/tdinsight`。
 
 更多使用场景和限制请参考[TDinsight](/reference/tdinsight/) 文档。

docs/zh/25-application/01-telegraf.md

@@ -34,7 +34,7 @@ IT 运维监测数据通常都是对时间特性比较敏感的数据，例如
 
 ### TDengine
 
-从涛思数据官网[下载](http://taosdata.com/cn/all-downloads/)页面下载最新 TDengine-server 2.4.0.x 或以上版本安装。
+从涛思数据官网[下载](http://taosdata.com/cn/all-downloads/)页面下载最新 TDengine-server 版本安装。
 
 ## 数据链路设置
 
@@ -79,4 +79,4 @@ sudo systemctl start telegraf
 
 ## 总结
 
-以上演示如何快速搭建一个完整的 IT 运维展示系统。得力于 TDengine 2.4.0.0 版本中新增的 schemaless 协议解析功能，以及强大的生态软件适配能力，用户可以短短数分钟就可以搭建一个高效易用的 IT 运维系统。TDengine 强大的数据写入查询性能和其他丰富功能请参考官方文档和产品落地案例。
+以上演示如何快速搭建一个完整的 IT 运维展示系统。得力于 TDengine 的 schemaless 协议解析功能，以及强大的生态软件适配能力，用户可以短短数分钟就可以搭建一个高效易用的 IT 运维系统。TDengine 强大的数据写入查询性能和其他丰富功能请参考官方文档和产品落地案例。

docs/zh/25-application/02-collectd.md

@@ -36,7 +36,7 @@ IT 运维监测数据通常都是对时间特性比较敏感的数据，例如
 
 ### 安装 TDengine
 
-从涛思数据官网[下载](http://taosdata.com/cn/all-downloads/)页面下载最新 TDengine-server 2.4.0.x 或以上版本安装。
+从涛思数据官网[下载](http://taosdata.com/cn/all-downloads/)页面下载最新 TDengine-server 版本安装。
 
 ## 数据链路设置
 
@@ -90,6 +90,6 @@ repeater 部分添加 { host:'<TDengine server/cluster host>', port: <port for S
 
 ## 总结
 
-TDengine 作为新兴的时序大数据平台，具备极强的高性能、高可靠、易管理、易维护的优势。得力于 TDengine 2.4.0.0 版本中新增的 schemaless 协议解析功能，以及强大的生态软件适配能力，用户可以短短数分钟就可以搭建一个高效易用的 IT 运维系统或者适配一个已存在的系统。
+TDengine 作为新兴的时序大数据平台，具备极强的高性能、高可靠、易管理、易维护的优势。得力于 TDengine 的 schemaless 协议解析功能，以及强大的生态软件适配能力，用户可以短短数分钟就可以搭建一个高效易用的 IT 运维系统或者适配一个已存在的系统。
 
 TDengine 强大的数据写入查询性能和其他丰富功能请参考官方文档和产品成功落地案例。

docs/zh/28-releases/01-tdengine.md

+---
+sidebar_label: TDengine 发布历史
+title: TDengine 发布历史
+---
+
+import Release from "/components/ReleaseV3";
+
+## 3.0.0.1
+
+<Release type="tdengine" version="3.0.0.1" />
+
+## 3.0.0.0
+
+<Release type="tdengine" version="3.0.0.0" />
+

docs/zh/28-releases.md → docs/zh/28-releases/02-tools.md

 ---
-sidebar_label: 发布历史
-title: 发布历史
+sidebar_label: taosTools 发布历史
+title: taosTools 发布历史
 ---
 
 import Release from "/components/ReleaseV3";
 
+## 2.1.2
 
-<Release versionPrefix="3.0" />
+<Release type="tools" version="2.1.2" />
\ No newline at end of file

docs/zh/28-releases/_category_.yml

+label: 发布历史
\ No newline at end of file

include/util/taoserror.h

@@ -49,7 +49,7 @@ int32_t* taosGetErrno();
 #define TSDB_CODE_RPC_TIMEOUT                   TAOS_DEF_ERROR_CODE(0, 0x0019)
 
 //common & util
-#define TSDB_CODE_TIME_UNSYNCED                 TAOS_DEF_ERROR_CODE(0, 0x0013) 
+#define TSDB_CODE_TIME_UNSYNCED                 TAOS_DEF_ERROR_CODE(0, 0x0013)
 #define TSDB_CODE_APP_NOT_READY                 TAOS_DEF_ERROR_CODE(0, 0x0014)
 
 #define TSDB_CODE_OPS_NOT_SUPPORT               TAOS_DEF_ERROR_CODE(0, 0x0100)
@@ -222,7 +222,7 @@ int32_t* taosGetErrno();
 #define TSDB_CODE_MND_INVALID_DB_OPTION         TAOS_DEF_ERROR_CODE(0, 0x0382)
 #define TSDB_CODE_MND_INVALID_DB                TAOS_DEF_ERROR_CODE(0, 0x0383)
 #define TSDB_CODE_MND_TOO_MANY_DATABASES        TAOS_DEF_ERROR_CODE(0, 0x0385)
-#define TSDB_CODE_MND_DB_NOT_EXIST              TAOS_DEF_ERROR_CODE(0, 0x0388) 
+#define TSDB_CODE_MND_DB_NOT_EXIST              TAOS_DEF_ERROR_CODE(0, 0x0388)
 #define TSDB_CODE_MND_INVALID_DB_ACCT           TAOS_DEF_ERROR_CODE(0, 0x0389)
 #define TSDB_CODE_MND_DB_OPTION_UNCHANGED       TAOS_DEF_ERROR_CODE(0, 0x038A)
 #define TSDB_CODE_MND_DB_INDEX_NOT_EXIST        TAOS_DEF_ERROR_CODE(0, 0x038B)
@@ -433,7 +433,7 @@ int32_t* taosGetErrno();
 #define TSDB_CODE_TQ_NO_DISK_PERMISSIONS        TAOS_DEF_ERROR_CODE(0, 0x0A03)
 #define TSDB_CODE_TQ_FILE_CORRUPTED             TAOS_DEF_ERROR_CODE(0, 0x0A04)
 #define TSDB_CODE_TQ_OUT_OF_MEMORY              TAOS_DEF_ERROR_CODE(0, 0x0A05)
-#define TSDB_CODE_TQ_FILE_ALREADY_EXISTS        TAOS_DEF_ERROR_CODE(0, 0x0A06) 
+#define TSDB_CODE_TQ_FILE_ALREADY_EXISTS        TAOS_DEF_ERROR_CODE(0, 0x0A06)
 #define TSDB_CODE_TQ_FAILED_TO_CREATE_DIR       TAOS_DEF_ERROR_CODE(0, 0x0A07)
 #define TSDB_CODE_TQ_META_NO_SUCH_KEY           TAOS_DEF_ERROR_CODE(0, 0x0A08)
 #define TSDB_CODE_TQ_META_KEY_NOT_IN_TXN        TAOS_DEF_ERROR_CODE(0, 0x0A09)
@@ -490,7 +490,7 @@ int32_t* taosGetErrno();
 #define TSDB_CODE_PAR_WRONG_NUMBER_OF_SELECT    TAOS_DEF_ERROR_CODE(0, 0x2609)
 #define TSDB_CODE_PAR_GROUPBY_LACK_EXPRESSION   TAOS_DEF_ERROR_CODE(0, 0x260A)
 #define TSDB_CODE_PAR_NOT_SELECTED_EXPRESSION   TAOS_DEF_ERROR_CODE(0, 0x260B)
-#define TSDB_CODE_PAR_NOT_SINGLE_GROUP          TAOS_DEF_ERROR_CODE(0, 0x260C) 
+#define TSDB_CODE_PAR_NOT_SINGLE_GROUP          TAOS_DEF_ERROR_CODE(0, 0x260C)
 #define TSDB_CODE_PAR_TAGS_NOT_MATCHED          TAOS_DEF_ERROR_CODE(0, 0x260D)
 #define TSDB_CODE_PAR_INVALID_TAG_NAME          TAOS_DEF_ERROR_CODE(0, 0x260E)
 #define TSDB_CODE_PAR_NAME_OR_PASSWD_TOO_LONG   TAOS_DEF_ERROR_CODE(0, 0x2610)

source/dnode/mnode/impl/src/mndMain.c

@@ -122,7 +122,7 @@ static void *mndThreadFp(void *param) {
       mndCalMqRebalance(pMnode);
     }
 
-    if (lastTime % (tsTelemInterval * 10) == 0) {
+    if (lastTime % (tsTelemInterval * 10) == 1) {
       mndPullupTelem(pMnode);
     }
 

source/dnode/vnode/src/tsdb/tsdbRead.c

@@ -178,7 +178,7 @@ static int32_t  doAppendRowFromFileBlock(SSDataBlock* pResBlock, STsdbReader* pR
 static void     setComposedBlockFlag(STsdbReader* pReader, bool composed);
 static bool     hasBeenDropped(const SArray* pDelList, int32_t* index, TSDBKEY* pKey, int32_t order);
 
-static void doMergeMultiRows(TSDBROW* pRow, uint64_t uid, SIterInfo* pIter, SArray* pDelList, STSRow** pTSRow,
+static void doMergeMemTableMultiRows(TSDBROW* pRow, uint64_t uid, SIterInfo* pIter, SArray* pDelList, STSRow** pTSRow,
                              STsdbReader* pReader, bool* freeTSRow);
 static void doMergeMemIMemRows(TSDBROW* pRow, TSDBROW* piRow, STableBlockScanInfo* pBlockScanInfo, STsdbReader* pReader,
                                STSRow** pTSRow);
@@ -1510,6 +1510,7 @@ static int32_t doMergeBufAndFileRows_Rv(STsdbReader* pReader, STableBlockScanInf
   return TSDB_CODE_SUCCESS;
 }
 
+#if 0
 static int32_t doMergeBufAndFileRows(STsdbReader* pReader, STableBlockScanInfo* pBlockScanInfo, TSDBROW* pRow,
                                      SIterInfo* pIter, int64_t key, SLastBlockReader* pLastBlockReader) {
   SRowMerger          merge = {0};
@@ -1536,7 +1537,7 @@ static int32_t doMergeBufAndFileRows(STsdbReader* pReader, STableBlockScanInfo*
         freeTSRow = true;
       }
     } else if (k.ts < key) {  // k.ts < key
-      doMergeMultiRows(pRow, pBlockScanInfo->uid, pIter, pDelList, &pTSRow, pReader, &freeTSRow);
+      doMergeMemTableMultiRows(pRow, pBlockScanInfo->uid, pIter, pDelList, &pTSRow, pReader, &freeTSRow);
     } else {  // k.ts == key, ascending order: file block ----> imem rows -----> mem rows
       tRowMergerInit(&merge, &fRow, pReader->pSchema);
       doMergeRowsInFileBlocks(pBlockData, pBlockScanInfo, pReader, &merge);
@@ -1549,7 +1550,7 @@ static int32_t doMergeBufAndFileRows(STsdbReader* pReader, STableBlockScanInfo*
     }
   } else {  // descending order scan
     if (key < k.ts) {
-      doMergeMultiRows(pRow, pBlockScanInfo->uid, pIter, pDelList, &pTSRow, pReader, &freeTSRow);
+      doMergeMemTableMultiRows(pRow, pBlockScanInfo->uid, pIter, pDelList, &pTSRow, pReader, &freeTSRow);
     } else if (k.ts < key) {
       if (tryCopyDistinctRowFromFileBlock(pReader, pBlockData, key, pDumpInfo)) {
         return TSDB_CODE_SUCCESS;
@@ -1583,6 +1584,8 @@ static int32_t doMergeBufAndFileRows(STsdbReader* pReader, STableBlockScanInfo*
   return TSDB_CODE_SUCCESS;
 }
 
+#endif
+
 static int32_t doMergeMultiLevelRowsRv(STsdbReader* pReader, STableBlockScanInfo* pBlockScanInfo, SBlockData* pBlockData, SLastBlockReader* pLastBlockReader) {
   SRowMerger merge = {0};
   STSRow*    pTSRow = NULL;
@@ -1734,6 +1737,7 @@ static int32_t doMergeMultiLevelRowsRv(STsdbReader* pReader, STableBlockScanInfo
   return TSDB_CODE_SUCCESS;
 }
 
+#if 0
 static int32_t doMergeThreeLevelRows(STsdbReader* pReader, STableBlockScanInfo* pBlockScanInfo, SBlockData* pBlockData) {
   SRowMerger merge = {0};
   STSRow*    pTSRow = NULL;
@@ -1779,7 +1783,7 @@ static int32_t doMergeThreeLevelRows(STsdbReader* pReader, STableBlockScanInfo*
       // [3] ik.ts < key <= k.ts
       // [4] ik.ts < k.ts <= key
       if (ik.ts < k.ts) {
-        doMergeMultiRows(piRow, uid, &pBlockScanInfo->iiter, pDelList, &pTSRow, pReader, &freeTSRow);
+        doMergeMemTableMultiRows(piRow, uid, &pBlockScanInfo->iiter, pDelList, &pTSRow, pReader, &freeTSRow);
         doAppendRowFromTSRow(pReader->pResBlock, pReader, pTSRow, uid);
         if (freeTSRow) {
           taosMemoryFree(pTSRow);
@@ -1790,7 +1794,7 @@ static int32_t doMergeThreeLevelRows(STsdbReader* pReader, STableBlockScanInfo*
       // [5] k.ts < key   <= ik.ts
       // [6] k.ts < ik.ts <= key
       if (k.ts < ik.ts) {
-        doMergeMultiRows(pRow, uid, &pBlockScanInfo->iter, pDelList, &pTSRow, pReader, &freeTSRow);
+        doMergeMemTableMultiRows(pRow, uid, &pBlockScanInfo->iter, pDelList, &pTSRow, pReader, &freeTSRow);
         doAppendRowFromTSRow(pReader->pResBlock, pReader, pTSRow, uid);
         if (freeTSRow) {
           taosMemoryFree(pTSRow);
@@ -1836,7 +1840,7 @@ static int32_t doMergeThreeLevelRows(STsdbReader* pReader, STableBlockScanInfo*
       // [3] ik.ts > k.ts >= Key
       // [4] ik.ts > key >= k.ts
       if (ik.ts > key) {
-        doMergeMultiRows(piRow, uid, &pBlockScanInfo->iiter, pDelList, &pTSRow, pReader, &freeTSRow);
+        doMergeMemTableMultiRows(piRow, uid, &pBlockScanInfo->iiter, pDelList, &pTSRow, pReader, &freeTSRow);
         doAppendRowFromTSRow(pReader->pResBlock, pReader, pTSRow, uid);
         if (freeTSRow) {
           taosMemoryFree(pTSRow);
@@ -1859,7 +1863,7 @@ static int32_t doMergeThreeLevelRows(STsdbReader* pReader, STableBlockScanInfo*
 
       //[7] key = ik.ts > k.ts
       if (key == ik.ts) {
-        doMergeMultiRows(piRow, uid, &pBlockScanInfo->iiter, pDelList, &pTSRow, pReader, &freeTSRow);
+        doMergeMemTableMultiRows(piRow, uid, &pBlockScanInfo->iiter, pDelList, &pTSRow, pReader, &freeTSRow);
 
         TSDBROW fRow = tsdbRowFromBlockData(pBlockData, pDumpInfo->rowIndex);
         tRowMerge(&merge, &fRow);
@@ -1876,6 +1880,7 @@ static int32_t doMergeThreeLevelRows(STsdbReader* pReader, STableBlockScanInfo*
   ASSERT(0);
   return -1;
 }
+#endif
 
 static bool isValidFileBlockRow(SBlockData* pBlockData, SFileBlockDumpInfo* pDumpInfo,
                                 STableBlockScanInfo* pBlockScanInfo, STsdbReader* pReader) {
@@ -3115,7 +3120,7 @@ int32_t doMergeRowsInLastBlock(SLastBlockReader* pLastBlockReader, STableBlockSc
   return TSDB_CODE_SUCCESS;
 }
 
-void doMergeMultiRows(TSDBROW* pRow, uint64_t uid, SIterInfo* pIter, SArray* pDelList, STSRow** pTSRow,
+void doMergeMemTableMultiRows(TSDBROW* pRow, uint64_t uid, SIterInfo* pIter, SArray* pDelList, STSRow** pTSRow,
                       STsdbReader* pReader, bool* freeTSRow) {
   TSDBROW* pNextRow = NULL;
   TSDBROW  current = *pRow;
@@ -3197,6 +3202,7 @@ int32_t tsdbGetNextRowInMem(STableBlockScanInfo* pBlockScanInfo, STsdbReader* pR
   TSDBROW* pRow = getValidRow(&pBlockScanInfo->iter, pBlockScanInfo->delSkyline, pReader);
   TSDBROW* piRow = getValidRow(&pBlockScanInfo->iiter, pBlockScanInfo->delSkyline, pReader);
   SArray*  pDelList = pBlockScanInfo->delSkyline;
+  uint64_t uid = pBlockScanInfo->uid;
 
   // todo refactor
   bool asc = ASCENDING_TRAVERSE(pReader->order);
@@ -3219,9 +3225,9 @@ int32_t tsdbGetNextRowInMem(STableBlockScanInfo* pBlockScanInfo, STsdbReader* pR
     TSDBKEY ik = TSDBROW_KEY(piRow);
 
     if (ik.ts < k.ts) {  // ik.ts < k.ts
-      doMergeMultiRows(piRow, pBlockScanInfo->uid, &pBlockScanInfo->iiter, pDelList, pTSRow, pReader, freeTSRow);
+      doMergeMemTableMultiRows(piRow, uid, &pBlockScanInfo->iiter, pDelList, pTSRow, pReader, freeTSRow);
     } else if (k.ts < ik.ts) {
-      doMergeMultiRows(pRow, pBlockScanInfo->uid, &pBlockScanInfo->iter, pDelList, pTSRow, pReader, freeTSRow);
+      doMergeMemTableMultiRows(pRow, uid, &pBlockScanInfo->iter, pDelList, pTSRow, pReader, freeTSRow);
     } else {  // ik.ts == k.ts
       doMergeMemIMemRows(pRow, piRow, pBlockScanInfo, pReader, pTSRow);
       *freeTSRow = true;
@@ -3231,12 +3237,12 @@ int32_t tsdbGetNextRowInMem(STableBlockScanInfo* pBlockScanInfo, STsdbReader* pR
   }
 
   if (pBlockScanInfo->iter.hasVal && pRow != NULL) {
-    doMergeMultiRows(pRow, pBlockScanInfo->uid, &pBlockScanInfo->iter, pDelList, pTSRow, pReader, freeTSRow);
+    doMergeMemTableMultiRows(pRow, pBlockScanInfo->uid, &pBlockScanInfo->iter, pDelList, pTSRow, pReader, freeTSRow);
     return TSDB_CODE_SUCCESS;
   }
 
   if (pBlockScanInfo->iiter.hasVal && piRow != NULL) {
-    doMergeMultiRows(piRow, pBlockScanInfo->uid, &pBlockScanInfo->iiter, pDelList, pTSRow, pReader, freeTSRow);
+    doMergeMemTableMultiRows(piRow, uid, &pBlockScanInfo->iiter, pDelList, pTSRow, pReader, freeTSRow);
     return TSDB_CODE_SUCCESS;
   }
 

source/libs/command/src/explain.c

@@ -1570,12 +1570,9 @@ int32_t qExplainGetRspFromCtx(void *ctx, SRetrieveTableRsp **pRsp) {
 
   SColumnInfoData *pInfoData = taosArrayGet(pBlock->pDataBlock, 0);
 
-  char buf[1024] = {0};
   for (int32_t i = 0; i < rowNum; ++i) {
     SQueryExplainRowInfo *row = taosArrayGet(pCtx->rows, i);
-    varDataCopy(buf, row->buf);
-    ASSERT(varDataTLen(row->buf) == row->len);
-    colDataAppend(pInfoData, i, buf, false);
+    colDataAppend(pInfoData, i, row->buf, false);
   }
 
   pBlock->info.rows = rowNum;

source/libs/executor/inc/executorimpl.h

@@ -1016,7 +1016,7 @@ bool functionNeedToExecute(SqlFunctionCtx* pCtx);
 bool isOverdue(TSKEY ts, STimeWindowAggSupp* pSup);
 bool isCloseWindow(STimeWindow* pWin, STimeWindowAggSupp* pSup);
 bool isDeletedWindow(STimeWindow* pWin, uint64_t groupId, SAggSupporter* pSup);
-void appendOneRow(SSDataBlock* pBlock, TSKEY* pStartTs, TSKEY* pEndTs, uint64_t* pUid);
+void appendOneRow(SSDataBlock* pBlock, TSKEY* pStartTs, TSKEY* pEndTs, int32_t uidCol, uint64_t* pID);
 void printDataBlock(SSDataBlock* pBlock, const char* flag);
 
 int32_t finalizeResultRowIntoResultDataBlock(SDiskbasedBuf* pBuf, SResultRowPosition* resultRowPosition,

source/libs/executor/src/executil.c

@@ -782,6 +782,7 @@ int32_t getTableList(void* metaHandle, void* pVnode, SScanPhysiNode* pScanNode,
       colDataDestroy(pColInfoData);
       taosMemoryFreeClear(pColInfoData);
       taosArrayDestroy(res);
+      qError("failed to getColInfoResult, code: %s", tstrerror(terrno));
       return terrno;
     }
 

source/libs/executor/src/executor.c

@@ -352,12 +352,14 @@ int32_t qCreateExecTask(SReadHandle* readHandle, int32_t vgId, uint64_t taskId,
 
   int32_t code = createExecTaskInfoImpl(pSubplan, pTask, readHandle, taskId, sql, model);
   if (code != TSDB_CODE_SUCCESS) {
+    qError("failed to createExecTaskInfoImpl, code: %s", tstrerror(code));
     goto _error;
   }
 
   SDataSinkMgtCfg cfg = {.maxDataBlockNum = 10000, .maxDataBlockNumPerQuery = 5000};
   code = dsDataSinkMgtInit(&cfg);
   if (code != TSDB_CODE_SUCCESS) {
+    qError("failed to dsDataSinkMgtInit, code: %s", tstrerror(code));
     goto _error;
   }
 
@@ -365,6 +367,7 @@ int32_t qCreateExecTask(SReadHandle* readHandle, int32_t vgId, uint64_t taskId,
     void* pSinkParam = NULL;
     code = createDataSinkParam(pSubplan->pDataSink, &pSinkParam, pTaskInfo, readHandle);
     if (code != TSDB_CODE_SUCCESS) {
+      qError("failed to createDataSinkParam, code: %s", tstrerror(code));
       goto _error;
     }
 

source/libs/executor/src/executorimpl.c

@@ -3492,6 +3492,7 @@ int32_t doInitAggInfoSup(SAggSupporter* pAggSup, SqlFunctionCtx* pCtx, int32_t n
     qError("Init stream agg supporter failed since %s", terrstr(terrno));
     return terrno;
   }
+
   int32_t code = createDiskbasedBuf(&pAggSup->pResultBuf, defaultPgsz, defaultBufsz, pKey, tsTempDir);
   if (code != TSDB_CODE_SUCCESS) {
     qError("Create agg result buf failed since %s", tstrerror(code));
@@ -4049,6 +4050,7 @@ SOperatorInfo* createOperatorTree(SPhysiNode* pPhyNode, SExecTaskInfo* pTaskInfo
                                   pTableListInfo, pTagCond, pTagIndexCond, GET_TASKID(pTaskInfo));
       if (code) {
         pTaskInfo->code = code;
+        qError("failed to createScanTableListInfo, code: %s", tstrerror(code));
         return NULL;
       }
 
@@ -4068,6 +4070,7 @@ SOperatorInfo* createOperatorTree(SPhysiNode* pPhyNode, SExecTaskInfo* pTaskInfo
                                   pTableListInfo, pTagCond, pTagIndexCond, GET_TASKID(pTaskInfo));
       if (code) {
         pTaskInfo->code = code;
+        qError("failed to createScanTableListInfo, code: %s", tstrerror(code));
         return NULL;
       }
 
@@ -4091,6 +4094,7 @@ SOperatorInfo* createOperatorTree(SPhysiNode* pPhyNode, SExecTaskInfo* pTaskInfo
                                     pHandle, pTableListInfo, pTagCond, pTagIndexCond, GET_TASKID(pTaskInfo));
         if (code) {
           pTaskInfo->code = code;
+          qError("failed to createScanTableListInfo, code: %s", tstrerror(code));
           return NULL;
         }
 
@@ -4113,6 +4117,7 @@ SOperatorInfo* createOperatorTree(SPhysiNode* pPhyNode, SExecTaskInfo* pTaskInfo
       int32_t code = getTableList(pHandle->meta, pHandle->vnode, pScanPhyNode, pTagCond, pTagIndexCond, pTableListInfo);
       if (code != TSDB_CODE_SUCCESS) {
         pTaskInfo->code = terrno;
+        qError("failed to getTableList, code: %s", tstrerror(code));
         return NULL;
       }
 

source/libs/executor/src/projectoperator.c

@@ -50,9 +50,11 @@ static void destroyIndefinitOperatorInfo(void* param, int32_t numOfOutput) {
 
 SOperatorInfo* createProjectOperatorInfo(SOperatorInfo* downstream, SProjectPhysiNode* pProjPhyNode,
                                          SExecTaskInfo* pTaskInfo) {
+  int32_t code = TSDB_CODE_SUCCESS;
   SProjectOperatorInfo* pInfo = taosMemoryCalloc(1, sizeof(SProjectOperatorInfo));
   SOperatorInfo*        pOperator = taosMemoryCalloc(1, sizeof(SOperatorInfo));
   if (pInfo == NULL || pOperator == NULL) {
+    code = TSDB_CODE_OUT_OF_MEMORY;
     goto _error;
   }
 
@@ -67,12 +69,11 @@ SOperatorInfo* createProjectOperatorInfo(SOperatorInfo* downstream, SProjectPhys
   pInfo->binfo.pRes = pResBlock;
   pInfo->pFinalRes = createOneDataBlock(pResBlock, false);
   pInfo->pFilterNode = pProjPhyNode->node.pConditions;
-  pInfo->mergeDataBlocks = pProjPhyNode->mergeDataBlock;
-
-  // todo remove it soon
 
   if (pTaskInfo->execModel == OPTR_EXEC_MODEL_STREAM) {
     pInfo->mergeDataBlocks = false;
+  } else {
+    pInfo->mergeDataBlocks = pProjPhyNode->mergeDataBlock;
   }
 
   int32_t numOfRows = 4096;
@@ -83,9 +84,13 @@ SOperatorInfo* createProjectOperatorInfo(SOperatorInfo* downstream, SProjectPhys
   if (numOfRows * pResBlock->info.rowSize > TWOMB) {
     numOfRows = TWOMB / pResBlock->info.rowSize;
   }
+
   initResultSizeInfo(&pOperator->resultInfo, numOfRows);
+  code = initAggInfo(&pOperator->exprSupp, &pInfo->aggSup, pExprInfo, numOfCols, keyBufSize, pTaskInfo->id.str);
+  if (code != TSDB_CODE_SUCCESS) {
+    goto _error;
+  }
 
-  initAggInfo(&pOperator->exprSupp, &pInfo->aggSup, pExprInfo, numOfCols, keyBufSize, pTaskInfo->id.str);
   initBasicInfo(&pInfo->binfo, pResBlock);
   setFunctionResultOutput(pOperator, &pInfo->binfo, &pInfo->aggSup, MAIN_SCAN, numOfCols);
 
@@ -99,7 +104,7 @@ SOperatorInfo* createProjectOperatorInfo(SOperatorInfo* downstream, SProjectPhys
   pOperator->fpSet = createOperatorFpSet(operatorDummyOpenFn, doProjectOperation, NULL, NULL,
                                          destroyProjectOperatorInfo, NULL, NULL, NULL);
 
-  int32_t code = appendDownstream(pOperator, &downstream, 1);
+  code = appendDownstream(pOperator, &downstream, 1);
   if (code != TSDB_CODE_SUCCESS) {
     goto _error;
   }
@@ -107,7 +112,9 @@ SOperatorInfo* createProjectOperatorInfo(SOperatorInfo* downstream, SProjectPhys
   return pOperator;
 
 _error:
-  pTaskInfo->code = TSDB_CODE_OUT_OF_MEMORY;
+  destroyProjectOperatorInfo(pInfo, numOfCols);
+  taosMemoryFree(pOperator);
+  pTaskInfo->code = code;
   return NULL;
 }
 
@@ -175,7 +182,8 @@ static int32_t doIngroupLimitOffset(SLimitInfo* pLimitInfo, uint64_t groupId, SS
     int32_t keepRows = (int32_t)(pLimitInfo->limit.limit - pLimitInfo->numOfOutputRows);
     blockDataKeepFirstNRows(pBlock, keepRows);
     //TODO: optimize it later when partition by + limit
-    if ((pLimitInfo->slimit.limit == -1 && pLimitInfo->currentGroupId == 0)  || pLimitInfo->slimit.limit > 0 && pLimitInfo->slimit.limit <= pLimitInfo->numOfOutputGroups) {
+    if ((pLimitInfo->slimit.limit == -1 && pLimitInfo->currentGroupId == 0) ||
+        (pLimitInfo->slimit.limit > 0 && pLimitInfo->slimit.limit <= pLimitInfo->numOfOutputGroups)) {
       doSetOperatorCompleted(pOperator);
     }
   }

source/libs/executor/src/scanoperator.c

@@ -1086,7 +1086,10 @@ static int32_t generateSessionScanRange(SStreamScanInfo* pInfo, SSDataBlock* pSr
 
   SColumnInfoData* pDestStartCol = taosArrayGet(pDestBlock->pDataBlock, START_TS_COLUMN_INDEX);
   SColumnInfoData* pDestEndCol = taosArrayGet(pDestBlock->pDataBlock, END_TS_COLUMN_INDEX);
+  SColumnInfoData* pDestUidCol = taosArrayGet(pDestBlock->pDataBlock, UID_COLUMN_INDEX);
   SColumnInfoData* pDestGpCol = taosArrayGet(pDestBlock->pDataBlock, GROUPID_COLUMN_INDEX);
+  SColumnInfoData* pDestCalStartTsCol = taosArrayGet(pDestBlock->pDataBlock, CALCULATE_START_TS_COLUMN_INDEX);
+  SColumnInfoData* pDestCalEndTsCol = taosArrayGet(pDestBlock->pDataBlock, CALCULATE_END_TS_COLUMN_INDEX);
   int32_t          dummy = 0;
   for (int32_t i = 0; i < pSrcBlock->info.rows; i++) {
     uint64_t groupId = getGroupId(pInfo->pTableScanOp, uidCol[i]);
@@ -1100,9 +1103,13 @@ static int32_t generateSessionScanRange(SStreamScanInfo* pInfo, SSDataBlock* pSr
     SResultWindowInfo* pEndWin =
         getCurSessionWindow(pInfo->sessionSup.pStreamAggSup, endData[i], endData[i], groupId, 0, &dummy);
     ASSERT(pEndWin);
+    TSKEY ts = INT64_MIN;
     colDataAppend(pDestStartCol, i, (const char*)&pStartWin->win.skey, false);
     colDataAppend(pDestEndCol, i, (const char*)&pEndWin->win.ekey, false);
+    colDataAppendNULL(pDestUidCol, i);
     colDataAppend(pDestGpCol, i, (const char*)&groupId, false);
+    colDataAppendNULL(pDestCalStartTsCol, i);
+    colDataAppendNULL(pDestCalEndTsCol, i);
     pDestBlock->info.rows++;
   }
   return TSDB_CODE_SUCCESS;
@@ -1157,13 +1164,13 @@ static int32_t generateScanRange(SStreamScanInfo* pInfo, SSDataBlock* pSrcBlock,
   return code;
 }
 
-void appendOneRow(SSDataBlock* pBlock, TSKEY* pStartTs, TSKEY* pEndTs, uint64_t* pUid) {
+void appendOneRow(SSDataBlock* pBlock, TSKEY* pStartTs, TSKEY* pEndTs, int32_t uidCol, uint64_t* pID) {
   SColumnInfoData* pStartTsCol = taosArrayGet(pBlock->pDataBlock, START_TS_COLUMN_INDEX);
   SColumnInfoData* pEndTsCol = taosArrayGet(pBlock->pDataBlock, END_TS_COLUMN_INDEX);
-  SColumnInfoData* pUidCol = taosArrayGet(pBlock->pDataBlock, UID_COLUMN_INDEX);
+  SColumnInfoData* pUidCol = taosArrayGet(pBlock->pDataBlock, uidCol);
   colDataAppend(pStartTsCol, pBlock->info.rows, (const char*)pStartTs, false);
   colDataAppend(pEndTsCol, pBlock->info.rows, (const char*)pEndTs, false);
-  colDataAppend(pUidCol, pBlock->info.rows, (const char*)pUid, false);
+  colDataAppend(pUidCol, pBlock->info.rows, (const char*)pID, false);
   pBlock->info.rows++;
 }
 
@@ -1190,7 +1197,7 @@ static void checkUpdateData(SStreamScanInfo* pInfo, bool invertible, SSDataBlock
     bool closedWin = isClosed && isSignleIntervalWindow(pInfo) &&
                      isDeletedWindow(&win, pBlock->info.groupId, pInfo->sessionSup.pIntervalAggSup);
     if ((update || closedWin) && out) {
-      appendOneRow(pInfo->pUpdateDataRes, tsCol + rowId, tsCol + rowId, &pBlock->info.uid);
+      appendOneRow(pInfo->pUpdateDataRes, tsCol + rowId, tsCol + rowId, UID_COLUMN_INDEX, &pBlock->info.uid);
     }
   }
   if (out) {
@@ -2642,6 +2649,7 @@ int32_t createScanTableListInfo(SScanPhysiNode* pScanNode, SNodeList* pGroupTags
 
   int32_t code = getTableList(pHandle->meta, pHandle->vnode, pScanNode, pTagCond, pTagIndexCond, pTableListInfo);
   if (code != TSDB_CODE_SUCCESS) {
+    qError("failed to getTableList, code: %s", tstrerror(code));
     return code;
   }
 

source/libs/executor/src/timewindowoperator.c

@@ -3951,11 +3951,13 @@ static void doClearSessionWindows(SStreamAggSupporter* pAggSup, SExprSupp* pSup,
                                   int32_t numOfOutput, int64_t gap, SArray* result) {
   SColumnInfoData* pColDataInfo = taosArrayGet(pBlock->pDataBlock, tsIndex);
   TSKEY*           tsCols = (TSKEY*)pColDataInfo->pData;
+  SColumnInfoData* pGpDataInfo = taosArrayGet(pBlock->pDataBlock, GROUPID_COLUMN_INDEX);
+  uint64_t*        gpCols = (uint64_t*)pGpDataInfo->pData;
   int32_t          step = 0;
   for (int32_t i = 0; i < pBlock->info.rows; i += step) {
     int32_t            winIndex = 0;
     SResultWindowInfo* pCurWin =
-        getCurSessionWindow(pAggSup, tsCols[i], INT64_MIN, pBlock->info.groupId, gap, &winIndex);
+        getCurSessionWindow(pAggSup, tsCols[i], INT64_MIN, gpCols[i], gap, &winIndex);
     if (!pCurWin || pCurWin->pos.pageId == -1) {
       // window has been closed.
       step = 1;
@@ -4168,13 +4170,13 @@ static SSDataBlock* doStreamSessionAgg(SOperatorInfo* pOperator) {
 
     if (pBlock->info.type == STREAM_CLEAR) {
       SArray* pWins = taosArrayInit(16, sizeof(SResultWindowInfo));
-      doClearSessionWindows(&pInfo->streamAggSup, &pOperator->exprSupp, pBlock, 0, pOperator->exprSupp.numOfExprs, 0,
+      doClearSessionWindows(&pInfo->streamAggSup, &pOperator->exprSupp, pBlock, START_TS_COLUMN_INDEX, pOperator->exprSupp.numOfExprs, 0,
                             pWins);
       if (IS_FINAL_OP(pInfo)) {
         int32_t                        childIndex = getChildIndex(pBlock);
         SOperatorInfo*                 pChildOp = taosArrayGetP(pInfo->pChildren, childIndex);
         SStreamSessionAggOperatorInfo* pChildInfo = pChildOp->info;
-        doClearSessionWindows(&pChildInfo->streamAggSup, &pChildOp->exprSupp, pBlock, 0, pChildOp->exprSupp.numOfExprs,
+        doClearSessionWindows(&pChildInfo->streamAggSup, &pChildOp->exprSupp, pBlock, START_TS_COLUMN_INDEX, pChildOp->exprSupp.numOfExprs,
                               0, NULL);
         rebuildTimeWindow(pInfo, pWins, pBlock->info.groupId, pOperator->exprSupp.numOfExprs, pOperator);
       }
@@ -4285,21 +4287,21 @@ static SSDataBlock* doStreamSessionSemiAgg(SOperatorInfo* pOperator) {
   } else if (pOperator->status == OP_RES_TO_RETURN) {
     doBuildResultDatablock(pOperator, pBInfo, &pInfo->groupResInfo, pInfo->streamAggSup.pResultBuf);
     if (pBInfo->pRes->info.rows > 0) {
-      printDataBlock(pBInfo->pRes, "sems session");
+      printDataBlock(pBInfo->pRes, "semi session");
       return pBInfo->pRes;
     }
 
     // doBuildDeleteDataBlock(pInfo->pStDeleted, pInfo->pDelRes, &pInfo->pDelIterator);
     if (pInfo->pDelRes->info.rows > 0 && !pInfo->returnDelete) {
       pInfo->returnDelete = true;
-      printDataBlock(pInfo->pDelRes, "sems session");
+      printDataBlock(pInfo->pDelRes, "semi session");
       return pInfo->pDelRes;
     }
 
     if (pInfo->pUpdateRes->info.rows > 0) {
       // process the rest of the data
       pOperator->status = OP_OPENED;
-      printDataBlock(pInfo->pUpdateRes, "sems session");
+      printDataBlock(pInfo->pUpdateRes, "semi session");
       return pInfo->pUpdateRes;
     }
     // semi interval operator clear disk buffer
@@ -4318,13 +4320,14 @@ static SSDataBlock* doStreamSessionSemiAgg(SOperatorInfo* pOperator) {
       clearSpecialDataBlock(pInfo->pUpdateRes);
       break;
     }
+    printDataBlock(pBlock, "semi session recv");
 
     if (pBlock->info.type == STREAM_CLEAR) {
       SArray* pWins = taosArrayInit(16, sizeof(SResultWindowInfo));
-      doClearSessionWindows(&pInfo->streamAggSup, pSup, pBlock, 0, pSup->numOfExprs, 0, pWins);
+      doClearSessionWindows(&pInfo->streamAggSup, pSup, pBlock, START_TS_COLUMN_INDEX, pSup->numOfExprs, 0, pWins);
       removeSessionResults(pStUpdated, pWins);
       taosArrayDestroy(pWins);
-      copyUpdateDataBlock(pInfo->pUpdateRes, pBlock, pInfo->primaryTsIndex);
+      copyDataBlock(pInfo->pUpdateRes, pBlock);
       break;
     } else if (pBlock->info.type == STREAM_DELETE_DATA || pBlock->info.type == STREAM_DELETE_RESULT) {
       // gap must be 0
@@ -4364,21 +4367,21 @@ static SSDataBlock* doStreamSessionSemiAgg(SOperatorInfo* pOperator) {
 
   doBuildResultDatablock(pOperator, pBInfo, &pInfo->groupResInfo, pInfo->streamAggSup.pResultBuf);
   if (pBInfo->pRes->info.rows > 0) {
-    printDataBlock(pBInfo->pRes, "sems session");
+    printDataBlock(pBInfo->pRes, "semi session");
     return pBInfo->pRes;
   }
 
   // doBuildDeleteDataBlock(pInfo->pStDeleted, pInfo->pDelRes, &pInfo->pDelIterator);
   if (pInfo->pDelRes->info.rows > 0 && !pInfo->returnDelete) {
     pInfo->returnDelete = true;
-    printDataBlock(pInfo->pDelRes, "sems session");
+    printDataBlock(pInfo->pDelRes, "semi session");
     return pInfo->pDelRes;
   }
 
   if (pInfo->pUpdateRes->info.rows > 0) {
     // process the rest of the data
     pOperator->status = OP_OPENED;
-    printDataBlock(pInfo->pUpdateRes, "sems session");
+    printDataBlock(pInfo->pUpdateRes, "semi session");
     return pInfo->pUpdateRes;
   }
 
@@ -4400,8 +4403,7 @@ SOperatorInfo* createStreamFinalSessionAggOperatorInfo(SOperatorInfo* downstream
     pOperator->name = "StreamSessionFinalAggOperator";
   } else {
     pInfo->isFinal = false;
-    pInfo->pUpdateRes = createResDataBlock(pPhyNode->pOutputDataBlockDesc);
-    pInfo->pUpdateRes->info.type = STREAM_CLEAR;
+    pInfo->pUpdateRes = createSpecialDataBlock(STREAM_CLEAR);
     blockDataEnsureCapacity(pInfo->pUpdateRes, 128);
     pOperator->name = "StreamSessionSemiAggOperator";
     pOperator->fpSet =
@@ -4616,23 +4618,20 @@ int32_t updateStateWindowInfo(SArray* pWinInfos, int32_t winIndex, TSKEY* pTs, u
 }
 
 static void doClearStateWindows(SStreamAggSupporter* pAggSup, SSDataBlock* pBlock,
-    int32_t tsIndex, SColumn* pCol, int32_t keyIndex, SHashObj* pSeUpdated, SHashObj* pSeDeleted) {
-  SColumnInfoData* pTsColInfo = taosArrayGet(pBlock->pDataBlock, tsIndex);
-  SColumnInfoData* pKeyColInfo = taosArrayGet(pBlock->pDataBlock, keyIndex);
+    SHashObj* pSeUpdated, SHashObj* pSeDeleted) {
+  SColumnInfoData* pTsColInfo = taosArrayGet(pBlock->pDataBlock, START_TS_COLUMN_INDEX);
+  SColumnInfoData* pGroupColInfo = taosArrayGet(pBlock->pDataBlock, GROUPID_COLUMN_INDEX);
   TSKEY*           tsCol = (TSKEY*)pTsColInfo->pData;
   bool             allEqual = false;
   int32_t          step = 1;
-  uint64_t         groupId = pBlock->info.groupId;
+  uint64_t*        gpCol = (uint64_t*) pGroupColInfo->pData;
   for (int32_t i = 0; i < pBlock->info.rows; i += step) {
-    char*             pKeyData = colDataGetData(pKeyColInfo, i);
     int32_t           winIndex = 0;
-    SStateWindowInfo* pCurWin = getStateWindowByTs(pAggSup, tsCol[i], groupId, &winIndex);
+    SStateWindowInfo* pCurWin = getStateWindowByTs(pAggSup, tsCol[i], gpCol[i], &winIndex);
     if (!pCurWin) {
       continue;
     }
-    step = updateStateWindowInfo(pAggSup->pCurWins, winIndex, tsCol, groupId, pKeyColInfo,
-        pBlock->info.rows, i, &allEqual, pSeDeleted);
-    ASSERT(isTsInWindow(pCurWin, tsCol[i]) || isEqualStateKey(pCurWin, pKeyData));
+    updateSessionWindowInfo(&pCurWin->winInfo, tsCol, NULL, 0, pBlock->info.rows, i, 0, NULL);
     taosHashRemove(pSeUpdated, &pCurWin->winInfo.pos, sizeof(SResultRowPosition));
     deleteWindow(pAggSup->pCurWins, winIndex, destroyStateWinInfo);
   }
@@ -4675,7 +4674,7 @@ static void doStreamStateAggImpl(SOperatorInfo* pOperator, SSDataBlock* pSDataBl
         pSDataBlock->info.rows, i, &allEqual, pStDeleted);
     if (!allEqual) {
       appendOneRow(pAggSup->pScanBlock, &pCurWin->winInfo.win.skey, &pCurWin->winInfo.win.ekey,
-                   &groupId);
+                   GROUPID_COLUMN_INDEX, &groupId);
       taosHashRemove(pSeUpdated, &pCurWin->winInfo.pos, sizeof(SResultRowPosition));
       deleteWindow(pAggSup->pCurWins, winIndex, destroyStateWinInfo);
       continue;
@@ -4730,8 +4729,7 @@ static SSDataBlock* doStreamStateAgg(SOperatorInfo* pOperator) {
     printDataBlock(pBlock, "single state recv");
 
     if (pBlock->info.type == STREAM_CLEAR) {
-      doClearStateWindows(&pInfo->streamAggSup, pBlock, pInfo->primaryTsIndex, &pInfo->stateCol, pInfo->stateCol.slotId,
-                          pSeUpdated, pInfo->pSeDeleted);
+      doClearStateWindows(&pInfo->streamAggSup, pBlock, pSeUpdated, pInfo->pSeDeleted);
       continue;
     } else if (pBlock->info.type == STREAM_DELETE_DATA) {
       SArray* pWins = taosArrayInit(16, sizeof(SResultWindowInfo));

source/libs/parser/src/parInsert.c

@@ -125,6 +125,37 @@ static int32_t skipInsertInto(char** pSql, SMsgBuf* pMsg) {
   return TSDB_CODE_SUCCESS;
 }
 
+static char* tableNameGetPosition(SToken* pToken, char target) {
+  bool inEscape = false;
+  bool inQuote = false;
+  char quotaStr = 0;
+
+  for (uint32_t i = 0; i < pToken->n; ++i) {
+    if (*(pToken->z + i) == target && (!inEscape) && (!inQuote)) {
+      return pToken->z + i;
+    }
+
+    if (*(pToken->z + i) == TS_ESCAPE_CHAR) {
+      if (!inQuote) {
+        inEscape = !inEscape;
+      }
+    }
+
+    if (*(pToken->z + i) == '\'' || *(pToken->z + i) == '"') {
+      if (!inEscape) {
+        if (!inQuote) {
+          quotaStr = *(pToken->z + i);
+          inQuote = !inQuote;
+        } else if (quotaStr == *(pToken->z + i)) {
+          inQuote = !inQuote;
+        }
+      }
+    }
+  }
+
+  return NULL;
+}
+
 static int32_t createSName(SName* pName, SToken* pTableName, int32_t acctId, const char* dbName, SMsgBuf* pMsgBuf) {
   const char* msg1 = "name too long";
   const char* msg2 = "invalid database name";
@@ -132,7 +163,7 @@ static int32_t createSName(SName* pName, SToken* pTableName, int32_t acctId, con
   const char* msg4 = "invalid table name";
 
   int32_t code = TSDB_CODE_SUCCESS;
-  char*   p = strnchr(pTableName->z, TS_PATH_DELIMITER[0], pTableName->n, true);
+  char*   p = tableNameGetPosition(pTableName, TS_PATH_DELIMITER[0]);
 
   if (p != NULL) {  // db has been specified in sql string so we ignore current db path
     assert(*p == TS_PATH_DELIMITER[0]);
@@ -1691,9 +1722,17 @@ static int32_t collectTableMetaKey(SInsertParseSyntaxCxt* pCxt, bool isStable, i
   return TSDB_CODE_SUCCESS;
 }
 
+static int32_t checkTableName(const char* pTableName, SMsgBuf* pMsgBuf) {
+  if (NULL != strchr(pTableName, '.')) {
+    return generateSyntaxErrMsgExt(pMsgBuf, TSDB_CODE_PAR_INVALID_IDENTIFIER_NAME, "The table name cannot contain '.'");
+  }
+  return TSDB_CODE_SUCCESS;
+}
+
 static int32_t collectAutoCreateTableMetaKey(SInsertParseSyntaxCxt* pCxt, int32_t tableNo, SToken* pTbToken) {
   SName name;
   CHECK_CODE(createSName(&name, pTbToken, pCxt->pComCxt->acctId, pCxt->pComCxt->db, &pCxt->msg));
+  CHECK_CODE(checkTableName(name.tname, &pCxt->msg));
   CHECK_CODE(reserveTableMetaInCacheForInsert(&name, CATALOG_REQ_TYPE_VGROUP, tableNo, pCxt->pMetaCache));
   return TSDB_CODE_SUCCESS;
 }

source/libs/parser/src/parTranslater.c

@@ -2594,8 +2594,13 @@ static int32_t getQueryTimeRange(STranslateContext* pCxt, SNode* pWhere, STimeWi
   return code;
 }
 
-static int32_t checkFill(STranslateContext* pCxt, SFillNode* pFill, SValueNode* pInterval) {
+static int32_t checkFill(STranslateContext* pCxt, SFillNode* pFill, SValueNode* pInterval,
+                         bool isInterpFill) {
   if (FILL_MODE_NONE == pFill->mode) {
+    if (isInterpFill) {
+      return generateSyntaxErrMsgExt(&pCxt->msgBuf, TSDB_CODE_PAR_WRONG_VALUE_TYPE, "Unsupported fill type");
+    }
+
     return TSDB_CODE_SUCCESS;
   }
 
@@ -2635,7 +2640,7 @@ static int32_t translateFill(STranslateContext* pCxt, SSelectStmt* pSelect, SInt
   }
 
   ((SFillNode*)pInterval->pFill)->timeRange = pSelect->timeRange;
-  return checkFill(pCxt, (SFillNode*)pInterval->pFill, (SValueNode*)pInterval->pInterval);
+  return checkFill(pCxt, (SFillNode*)pInterval->pFill, (SValueNode*)pInterval->pInterval, false);
 }
 
 static int64_t getMonthsFromTimeVal(int64_t val, int32_t fromPrecision, char unit) {
@@ -2864,7 +2869,7 @@ static int32_t translateInterpFill(STranslateContext* pCxt, SSelectStmt* pSelect
     code = getQueryTimeRange(pCxt, pSelect->pRange, &(((SFillNode*)pSelect->pFill)->timeRange));
   }
   if (TSDB_CODE_SUCCESS == code) {
-    code = checkFill(pCxt, (SFillNode*)pSelect->pFill, (SValueNode*)pSelect->pEvery);
+    code = checkFill(pCxt, (SFillNode*)pSelect->pFill, (SValueNode*)pSelect->pEvery, true);
   }
 
   return code;

tools/CMakeLists.txt

@@ -103,9 +103,9 @@ ELSE ()
         ExternalProject_Add(upx
             PREFIX              "${_upx_prefix}"
             URL                 https://github.com/upx/upx/releases/download/v3.96/upx-3.96-${PLATFORM_ARCH_STR}_linux.tar.xz
-            CONFIGURE_COMMAND   cmake -E true
-            BUILD_COMMAND       cmake -E true
-            INSTALL_COMMAND     cmake -E true
+            CONFIGURE_COMMAND   ""
+            BUILD_COMMAND       ""
+            INSTALL_COMMAND     ""
             )
 
         ExternalProject_Add(taosadapter
@@ -157,9 +157,9 @@ ELSE ()
         ExternalProject_Add(upx
                 PREFIX              "${_upx_prefix}"
                 URL                 https://github.com/upx/upx/releases/download/v3.96/upx-3.96-win32.zip
-                CONFIGURE_COMMAND   cmake -E true
-                BUILD_COMMAND       cmake -E true
-                INSTALL_COMMAND     cmake -E true
+                CONFIGURE_COMMAND   ""
+                BUILD_COMMAND       ""
+                INSTALL_COMMAND     ""
                 )
 
         ExternalProject_Add(taosadapter