diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
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+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v2.3.0
+    hooks:
+      - id: check-yaml
+      - id: check-json
+      - id: end-of-file-fixer
+      - id: trailing-whitespace
+
+repos:
+  - repo: https://github.com/psf/black
+    rev: stable
+    hooks:
+      - id: black
+
+repos:
+  - repo: https://github.com/pocc/pre-commit-hooks
+    rev: master
+    hooks:
+      - id: cppcheck
+        args: ["--error-exitcode=0"]
+
+repos:
+  - repo: https://github.com/crate-ci/typos
+    rev: v1.15.7
+    hooks:
+      - id: typos
+
diff --git a/docs/en/19-tools/04-dbeaver.md b/docs/en/19-tools/04-dbeaver.md
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+---
+sidebar_label: DBeaver
+title: DBeaver
+description: You can use DBeaver to access your data stored in TDengine and TDengine Cloud.
+---
+
+[DBeaver](https://dbeaver.io/) is a popular cross-platform database management tool that facilitates data management for developers, database administrators, data analysts, and other users. Starting from version 23.1.1, DBeaver natively supports TDengine and can be used to manage TDengine Cloud as well as TDengine clusters deployed on-premises.
+
+## Prerequisites
+
+To use DBeaver to manage TDengine, you need to prepare the following:
+
+- Install DBeaver. DBeaver supports mainstream operating systems including Windows, macOS, and Linux. Please make sure you download and install the correct version (23.1.1+) and platform package. Please refer to the [official DBeaver documentation](https://github.com/dbeaver/dbeaver/wiki/Installation) for detailed installation steps.
+- If you use TDengine Cloud, please [register](https://cloud.tdengine.com/) for an account.
+
+## Use DBeaver to access TDengine Cloud
+
+1. Copy TDENGINE_JDBC_URL value.
+
+```
+<jdbcURL>
+```
+
+2. Start the DBeaver application, click the button or menu item to choose **New Database Connection**, and then select **TDengine Cloud** in the **Timeseries** category.
+
+ ![Connect TDengine Cloud with DBeaver](./dbeaver/dbeaver-connect-tdengine-cloud-en.webp)
+
+3. Configure the TDengine Cloud connection by filling in the JDBC URL value. Click **Test Connection**. If you do not have the TDengine Java connector installed on the local machine, DBeaver will prompt you to download and install it. If the connection is successful, it will be displayed as shown in the following figure. If the connection fails, please check whether the TDengine Cloud service is running properly and whether the JDBC URL is correct.
+
+ ![Configure the TDengine Cloud connection](./dbeaver/dbeaver-connect-tdengine-cloud-test-en.webp)
+
+4. Use DBeaver to select databases and tables and browse your data stored in TDengine Cloud.
+
+ ![Browse TDengine Cloud data with DBeaver](./dbeaver/dbeaver-browse-data-cloud-en.webp)
+
+5. You can also manipulate TDengine Cloud data by executing SQL commands.
+
+ ![Use SQL commands to manipulate TDengine Cloud data in DBeaver](./dbeaver/dbeaver-sql-execution-cloud-en.webp)
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+---
+sidebar_label: DBeaver
+title: DBeaver
+description: 使用 DBeaver 存取 TDengine 数据的详细指南
+---
+
+DBeaver 是一款流行的跨平台数据库管理工具，方便开发者、数据库管理员、数据分析师等用户管理数据。DBeaver 从 23.1.1 版本开始内嵌支持 TDengine。既支持独立部署的 TDengine 集群也支持 TDengine Cloud。
+
+## 前置条件
+
+### 安装 DBeaver
+
+使用 DBeaver 管理 TDengine 需要以下几方面的准备工作。
+
+- 安装 DBeaver。DBeaver 支持主流操作系统包括 Windows、macOS 和 Linux。请注意[下载](https://dbeaver.io/download/)正确平台和版本（23.1.1+）的安装包。详细安装步骤请参考 [DBeaver 官方文档](https://github.com/dbeaver/dbeaver/wiki/Installation)。
+- 如果使用 TDengine Cloud，请[注册](https://cloud.taosdata.com/)相应账号。
+
+## 使用 DBeaver 访问 TDengine Cloud
+
+1. 复制 TDENGINE_JDBC_URL 的字符串值。
+
+```
+<jdbcURL>
+```
+
+2. 启动 DBeaver 应用，点击按钮或菜单项选择“连接到数据库”，然后在时间序列分类栏中选择 TDengine Cloud。
+
+ ![DBeaver 连接 TDengine Cloud](./dbeaver/dbeaver-connect-tdengine-cloud-zh.webp)
+
+
+3. 配置 TDengine Cloud 连接，填入 JDBC_URL 值。点击“测试连接”，如果本机没有安装 TDengine Java
+ 连接器，DBeaver 会提示下载安装。连接成功将显示如下图所示。如果显示连接失败，请检查 TDengine Cloud 服务是否启动，JDBC_URL 是否正确。
+
+ ![配置 TDengine Cloud 连接](./dbeaver/dbeaver-connect-tdengine-cloud-test-zh.webp)
+
+4. 使用 DBeaver 选择数据库和表可以浏览 TDengine Cloud 服务的数据。
+
+ ![DBeaver 浏览 TDengine Cloud 数据](./dbeaver/dbeaver-browse-cloud-data-zh.webp)
+
+5. 也可以通过执行 SQL 命令的方式对 TDengine Cloud 数据进行操作。
+
+ ![DBeaver SQL 命令 操作 TDengine Cloud](./dbeaver/dbeaver-sql-execution-cloud-zh.webp)
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