diff --git a/README.md b/README.md index 36c99fc..8220ffa 100644 --- a/README.md +++ b/README.md @@ -1,23 +1,29 @@ + +> [!NOTE] +> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。 +> [English](./README.en.md) · [原始项目](https://github.com/t8y2/dbx) · [上游 README](https://github.com/t8y2/dbx/blob/HEAD/README.md) +> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。 +
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60+ databases in 20 MB. Desktop & Docker self-hosting, with built-in AI assistant.

+

20 MB 驾驭 60+ 种数据库。桌面端 & Docker 自托管，内置 AI 助手。

- DBX screenshot + DBX 截图

- Join QQ Group - Join WeChat Group - Join Discord -

+ 加入 QQ 群 + 加入微信交流群 + 加入 Discord +

t8y2%2Fdbx | Trendshift Featured｜HelloGitHub DBX - Lightweight open-source database manager built with Rust | Product Hunt

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+

@@ -49,7 +55,7 @@ CNB

- English | 前往中文版本 + English | 简体中文

@@ -62,92 +68,92 @@

-## Why DBX? +## 为什么选择 DBX？
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🪶 20 MB, zero runtime bloat

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No Java JRE. No Python venv. No bundled Chromium. DBX ships as a single small binary — download, install, connect. DBeaver needs Java; TablePlus is macOS-only. DBX runs everywhere with nothing extra.

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🪶 20 MB，极致轻量

+

无需 Java 运行环境，无需 Python 虚拟环境，不内嵌 Chromium。DBX 是单个小巧的二进制文件——下载、安装、连接。DBeaver 依赖 Java；TablePlus 仅限 macOS。DBX 全平台可用，无需额外运行时。

 -

🤖 AI that lives in your editor

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Highlight a table, describe what you want, get SQL back — no copy-paste between tools. Works with Claude, OpenAI, or local models via Ollama. Built-in safety checks review AI-generated SQL before it runs.

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🤖 AI 原生集成在编辑器里

+

选中一张表，描述你想要什么，直接得到 SQL——无需在工具之间复制粘贴。支持 Claude、OpenAI，或通过 Ollama 使用本地模型。内置安全检查会在执行前审查 AI 生成的 SQL。
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🔌 MCP: your databases, AI-ready

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DBX speaks the Model Context Protocol. Claude Code, Cursor, Windsurf, and other AI coding agents can query your databases through connections you already set up. One config, everywhere.

+

🔌 MCP 协议：你的数据库，AI 就绪

+

DBX 原生支持 Model Context Protocol。Claude Code、Cursor、Windsurf 等 AI 编程助手可以直接通过你已配置的数据库连接查询数据。一次配置，处处可用。

 -

🌐 Desktop + Docker + Web

-

Native app on macOS, Windows, and Linux. Self-host via Docker for team access. Web version for browser-only environments. Same feature set. Same connections.

+

🌐 桌面端 + Docker + Web

+

macOS、Windows、Linux 原生应用。通过 Docker 自托管供团队访问。Web 版本适配纯浏览器环境。同样的功能，同样的连接配置。
-## Features +## 功能特性 -### 60+ Databases, One Tool +### 60+ 种数据库，一个工具搞定 -MySQL, PostgreSQL, SQLite, Cloudflare D1, Redis, MongoDB, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, Qdrant, Milvus, Weaviate, MariaDB, TiDB, OceanBase, openGauss, GaussDB, KWDB, KingBase, Vastbase, GoldenDB, Doris, SelectDB, StarRocks, Manticore Search, Redshift, DM, TDengine, XuguDB, CockroachDB, Access, HighGo, and more. Agent/JDBC-oriented profiles extend DBX to H2, Snowflake, Trino, PrestoSQL, Hive, DB2, Informix, Neo4j, Cassandra, BigQuery, Kylin, SunDB, and custom JDBC connections. New native and agent-driven drivers also cover Databricks, SAP HANA, Teradata, Vertica, Firebird, Exasol, YashanDB, GBase 8a/8s, Databend, RQLite, Turso, InfluxDB, QuestDB, IoTDB, etcd, ZooKeeper, Nacos, IRIS, and more. Message queue admin is also available for Pulsar, Kafka, and RocketMQ. All in a single ~20 MB app. No bundled Chromium. +MySQL、PostgreSQL、SQLite、Cloudflare D1、Redis、MongoDB、DuckDB、ClickHouse、SQL Server、Oracle、Elasticsearch、MariaDB、TiDB、OceanBase、openGauss、GaussDB、KWDB、KingBase、Vastbase、GoldenDB、Doris、SelectDB、StarRocks、Manticore Search、Redshift、DM、TDengine、虚谷 XuguDB、CockroachDB、Access、HighGo 等数据库都能直接连接。Agent/JDBC 方向的配置还可扩展到 H2、Snowflake、Trino、Hive、DB2、Informix、Neo4j、Cassandra、BigQuery、Kylin、SunDB 和自定义 JDBC。新增的原生与 Agent 驱动还覆盖了 Databricks、SAP HANA、Teradata、Vertica、Firebird、Exasol、崖山 YashanDB、GBase、Databend、RQLite、Turso、InfluxDB、QuestDB、IoTDB、etcd、IRIS 等。全部装进约 20 MB 的应用里，不内嵌 Chromium。 -### Query Editor +### 查询编辑器 -CodeMirror 6 with SQL syntax highlighting, metadata-aware autocomplete, `Cmd+Enter` execution, selected SQL execution, SQL formatting, diagnostics, and 9 editor themes. Persistent query history, saved SQL snippets, tab restore, and SQL file execution keep repeat work close at hand. +CodeMirror 6 语法高亮、元数据感知自动补全、`Cmd+Enter` 执行、选中 SQL 执行、SQL 格式化、诊断提示，9 种编辑器主题。查询历史、常用 SQL 片段、标签页恢复和 SQL 文件执行让重复工作更顺手。 -### AI SQL Assistant +### AI SQL 助手 -Describe what you want in plain language — get SQL back. DBX can explain queries, optimize SQL, fix errors, and run AI-generated SQL through built-in safety checks. Works with Claude, OpenAI, local models, or any OpenAI-compatible endpoint. +用自然语言描述你的需求，直接生成 SQL。还能解释查询、优化 SQL、修复错误，并通过内置安全检查执行 AI 生成的 SQL。支持 Claude、OpenAI、本地模型或任何 OpenAI 兼容端点。 -### Data Grid +### 数据表格 -Virtual-scrolled table that handles large result sets. Inline editing, SQL preview before save, WHERE / ORDER BY controls, DataGrip-style filters, LIKE / NOT LIKE context filters, sorting, full-text search, pagination, column resize, auto-fit, row numbers, zebra stripes, and full cell details. Export or copy as CSV, JSON, Markdown, XLSX, or INSERT statements. +虚拟滚动，轻松应对大型结果集。行内编辑、保存前 SQL 预览、WHERE / ORDER BY 控件、DataGrip 风格过滤器、LIKE / NOT LIKE 右键过滤、排序、全文搜索、分页、列宽调整、自动列宽、行号、斑马纹和完整单元格详情。支持导出或复制为 CSV、JSON、Markdown、XLSX、INSERT 语句。 -### Schema Tools +### Schema 工具 -- **Schema browser** — databases, schemas, tables, columns, indexes, foreign keys, triggers, with sidebar search & pin -- **Object browser** — grouped procedures, functions, views, and source editing where supported -- **Table structure editor** — reviewable column and index changes for supported engines -- **ER diagram** — visualize table relationships -- **Schema diff** — compare structures across connections -- **Explain plan** — visual query execution plan -- **Field lineage** — column-level lineage analysis -- **Database search** — find objects across large schemas +- **结构浏览** — 数据库、Schema、表、字段、索引、外键、触发器，支持侧边栏搜索和置顶 +- **对象浏览** — 按类型分组查看过程、函数、视图，并在支持的数据库中编辑源码 +- **表结构编辑器** — 对支持的数据库执行可审查的字段和索引变更 +- **ER 关系图** — 可视化表间关联 +- **Schema 对比** — 跨连接对比表结构差异 +- **执行计划** — 可视化查询执行计划 +- **字段血缘** — 字段级血缘分析 +- **数据库搜索** — 在大型 Schema 中快速查找对象 -### Data Operations +### 数据操作 -- **Table import** — CSV, Excel -- **Data transfer** — migrate between databases -- **Database export** — full database dump -- **Data compare** — compare table data and review synchronization output -- **SQL file execution** — run `.sql` files directly -- **File preview** — drag & drop Parquet, CSV, JSON to preview instantly (powered by DuckDB) -- **Connection import** — bring connection profiles from DBeaver or Navicat +- **数据导入** — CSV、Excel +- **数据迁移** — 在数据库之间迁移数据 +- **数据库导出** — 完整数据库导出 +- **数据对比** — 对比表数据并审查同步结果 +- **SQL 文件执行** — 直接执行 `.sql` 文件 +- **文件预览** — 拖入 Parquet、CSV、JSON 即时预览（基于 DuckDB） +- **连接导入** — 从 DBeaver 或 Navicat 导入连接配置 -### Specialized Browsers +### 专项浏览器 -- **Redis** — key pattern search, batch key operations, command runner, TTL editing, and all data types (String, Hash, List, Set, ZSet, Stream) -- **MongoDB** — document CRUD with pagination, Atlas & replica set URL connection +- **Redis** — 模式匹配搜索、批量键操作、命令执行器、TTL 编辑，全数据类型支持（String、Hash、List、Set、ZSet、Stream） +- **MongoDB** — 文档增删改查、分页浏览，支持 Atlas 和副本集 URL 直连 -### Safety & Connectivity +### 安全与连接 -SSH tunnel (key & password) · database and AI proxy settings · auto-reconnect on connection loss · confirmation dialogs for destructive operations · encrypted config export/import · color-coded connections · driver store and optional JDBC plugin +SSH 隧道（密钥和密码认证）· 数据库和 AI 代理设置 · 断线自动重连 · 危险操作确认对话框 · 加密导出/导入连接配置 · 连接颜色标记 · 驱动商店与可选 JDBC 插件 -### Polished UI +### 精致 UI -Dark mode with native title bar sync · 9 editor themes · English, 简体中文 & Español · layout preferences · built-in auto-update +深色模式原生标题栏同步 · 9 种编辑器主题 · English、简体中文、Español · 布局偏好设置 · 内置自动更新 -## AI Agent Integration (MCP) +## AI 编程助手集成 (MCP) -DBX provides an [MCP server](packages/mcp-server/) that lets AI coding agents query your databases using connections already configured in DBX. +DBX 提供 [MCP Server](packages/mcp-server/)，让 AI 编程助手直接使用 DBX 中已配置的数据库连接查询数据。 ```bash npx @dbx-app/mcp-server ``` -Add to your `.mcp.json`: +在 `.mcp.json` 中添加： ```json { @@ -157,9 +163,9 @@ Add to your `.mcp.json`: } ``` -Windows portable builds need `DBX_DATA_DIR` in the MCP config, pointing to the `data` directory next to `DBX.exe` (the folder that contains `dbx.db`). +Windows 便携版需要在 MCP 配置中设置 `DBX_DATA_DIR`，指向 `DBX.exe` 同级的 `data` 目录（即包含 `dbx.db` 的文件夹）。 -For DBX Web or Docker deployments, point the MCP server at the Web backend API. If the Web login page requires a password, set `DBX_WEB_PASSWORD` to the same password used there: +如果连接的是 DBX Web 或 Docker 部署，请让 MCP Server 指向 Web 后端 API。如果 Web 登录页需要密码，`DBX_WEB_PASSWORD` 填写同一个 Web 登录密码： ```json { @@ -169,38 +175,38 @@ For DBX Web or Docker deployments, point the MCP server at the Web backend API. "args": ["-y", "@dbx-app/mcp-server"], "env": { "DBX_WEB_URL": "http://localhost:4224", - "DBX_WEB_PASSWORD": "your-web-login-password" + "DBX_WEB_PASSWORD": "你的 Web 登录密码" } } } } ``` -Works with Claude Code, Cursor, Windsurf, and any MCP-compatible agent. Supports listing connections, browsing tables, executing SQL, and opening tables directly in DBX's UI. +支持 Claude Code、Cursor、Windsurf 等 MCP 兼容的 AI 助手。可列出连接、浏览表、执行 SQL，还能直接在 DBX 界面中打开表。 -DBX also provides a dedicated CLI package for terminal, script, and Codex workflows: +DBX 也提供独立 CLI 包，适合终端、脚本和 Codex 工作流： ```bash npm install -g @dbx-app/cli -# or via Homebrew +# 或通过 Homebrew brew tap t8y2/dbx && brew install dbx-cli dbx connections list --json dbx query local "select 1" --json ``` -See the [MCP server README](packages/mcp-server/README.md) and [CLI README](packages/cli/README.md) for details. +详见 [MCP Server 说明](packages/mcp-server/README.md) 和 [CLI 说明](packages/cli/README.md)。 -## Install +## 安装 -Download the latest release from the [Releases](https://github.com/t8y2/dbx/releases/latest) page. +从 [Releases](https://github.com/t8y2/dbx/releases/latest) 页面下载最新版本。 -**Homebrew (macOS):** +**Homebrew (macOS)：** ```bash brew install --cask dbx ``` -**Scoop (Windows):** +**Scoop (Windows)：** ```bash scoop bucket add dbx https://github.com/t8y2/scoop-bucket @@ -213,30 +219,28 @@ scoop install dbx winget install t8y2.dbx ``` -**Flatpak (Linux):** +**Flatpak (Linux)：** ```bash flatpak remote-add --if-not-exists flatpark https://dl.flatpark.org/flatpark.flatpakrepo flatpak install flatpark com.dbxio.dbx ``` -Updates then arrive through the regular `flatpak update`. See the [DBX page on FlatPark](https://flatpark.org/apps/com.dbxio.dbx/) for details. +之后通过常规的 `flatpak update` 即可获取更新。详见 [FlatPark 上的 DBX 页面](https://flatpark.org/apps/com.dbxio.dbx/)。 -## Self-Hosted (Docker) +## 自托管 (Docker) -DBX provides a web version that can be deployed via Docker. The examples use -the `latest` tag to pull the current release. +DBX 提供 Web 版本，可通过 Docker 部署。示例使用 `latest` 标签以拉取当前发布版本。 ```bash docker run -d --pull=always --name dbx -p 4224:4224 -v dbx-data:/app/data t8y2/dbx:latest ``` -This uses the cross-platform `dbx-data` named volume. Users in China can use -the CNB image, `docker.cnb.cool/dbxio.com/dbx:latest`, for faster pulls. +这里使用跨平台的 `dbx-data` 命名卷。中国大陆用户可选用 CNB 镜像 +`docker.cnb.cool/dbxio.com/dbx:latest`，以获得更快的拉取速度。 -For Docker Compose, `deploy/docker-compose.yml` remains the source-build -configuration. To deploy a published image, use -`deploy/docker-compose.release.yml`: +使用 Docker Compose 时，`deploy/docker-compose.yml` 保留为源码构建配置。 +如需部署已发布的镜像，请使用 `deploy/docker-compose.release.yml`： ```bash docker compose -f deploy/docker-compose.release.yml up -d @@ -246,7 +250,7 @@ docker compose -f deploy/docker-compose.release.yml up -d services: dbx: image: t8y2/dbx:latest - # For faster pulls in China, use the CNB image instead: + # 中国大陆用户可改用 CNB 镜像，以加快拉取速度： # image: docker.cnb.cool/dbxio.com/dbx:latest pull_policy: always ports: @@ -259,34 +263,32 @@ volumes: dbx-data: ``` -Open `http://localhost:4224` in your browser. Multi-arch images (amd64 / arm64) are available. - -To publish DBX under a reverse-proxy context path such as `/dbx`, set the -runtime base path and proxy the same prefix to the container: +如需通过 nginx 等反向代理发布到 `/dbx` 这类子路径下，设置运行时上下文路径，并将同一前缀代理到容器： ```yaml environment: - DBX_PUBLIC_BASE_PATH=/dbx ``` -When building the frontend yourself with an absolute asset base, set -`VITE_DBX_BASE_PATH=/dbx/` before `pnpm build`. +如果自行从源码构建前端并希望使用绝对资源路径，可在 `pnpm build` 前设置 `VITE_DBX_BASE_PATH=/dbx/`。 -## Getting Started +浏览器访问 `http://localhost:4224`。支持 amd64 / arm64 双架构镜像。 -### Prerequisites +## 快速开始 + +### 环境要求 - [Node.js](https://nodejs.org/) >= 18 - [pnpm](https://pnpm.io/) - [Rust](https://www.rust-lang.org/tools/install) >= 1.77 -#### System Dependencies +#### 系统依赖 -**macOS:** +**macOS：** -No additional dependencies required. +无需额外安装。 -**Linux (Ubuntu/Debian):** +**Linux (Ubuntu/Debian)：** ```bash sudo apt-get install -y libwebkit2gtk-4.1-dev libgtk-3-dev libappindicator3-dev librsvg2-dev patchelf libssl-dev @@ -294,125 +296,123 @@ sudo apt-get install -y libwebkit2gtk-4.1-dev libgtk-3-dev libappindicator3-dev **NIXOS/NIX :** -See README-NIX.md +查看 README-NIX.md -**Windows:** +**Windows：** -No additional dependencies required. +无需额外安装。 -### Development +### 开发 ```bash make ``` -`make` installs root dependencies when needed and starts the local Tauri desktop development environment. +`make` 会在需要时安装根目录依赖，并启动本地 Tauri 桌面端开发环境。 > [!TIP] -> DuckDB compilation takes a while. If you're not working on DuckDB features, -> skip it to speed up local builds: +> DuckDB 从源码编译较慢。如果不涉及 DuckDB 功能，可以跳过以加速本地构建： > > ```bash -> # Fast checks (skip DuckDB) +> # 快速检查（跳过 DuckDB） > make cargo-check-fast > make cargo-test-fast > -> # Tauri dev without DuckDB +> # Tauri 开发模式跳过 DuckDB > make dev-fast > ``` > -> The `--no-default-features` flag only affects local development. -> Release builds (`pnpm tauri build`) always include DuckDB. +> `--no-default-features` 仅影响本地开发，发布构建（`pnpm tauri build`）始终包含 DuckDB。 -Web version: +Web 版本： ```bash -make dev-web # frontend -make dev-backend # backend +make dev-web # 前端 +make dev-backend # 后端 ``` -Documentation site: +文档站： ```bash make docs ``` -The official DBX documentation site lives in `docs/`. If you want to improve the website content or documentation pages, edit the files under `docs/` and run `make docs` to preview the site locally. +DBX 官网文档位于 `docs/` 目录。如果你想贡献官网内容或文档页面，请修改 `docs/` 下的文件，并运行 `make docs` 在本地预览文档站。 -JDBC agent driver development projects live in `agents/`: +JDBC Agent 驱动开发工程位于 `agents/` 目录： ```bash cd agents ./gradlew test ``` -Build artifacts from `agents/drivers//build/libs/` are picked up by local driver install flows when available. +本地驱动安装流程会优先查找 `agents/drivers//build/libs/` 下的构建产物。 -### Build +### 构建 ```bash make package ``` -The installer will be in `src-tauri/target/release/bundle/`. +安装包输出在 `src-tauri/target/release/bundle/` 目录。 -## Tech Stack +## 技术栈 -| Layer | Technology | -| --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| Framework | [Tauri 2](https://tauri.app/) | -| Frontend | [Vue 3](https://vuejs.org/) + TypeScript | -| UI | [shadcn-vue](https://www.shadcn-vue.com/) + Tailwind CSS | -| Editor | [CodeMirror 6](https://codemirror.net/) | -| Backend | Rust + [sqlx](https://github.com/launchbadge/sqlx) / [tiberius](https://github.com/prisma/tiberius) / [redis-rs](https://github.com/redis-rs/redis-rs) / [mongodb](https://github.com/mongodb/mongo-rust-driver) | +| 层级 | 技术 | +| ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| 框架 | [Tauri 2](https://tauri.app/) | +| 前端 | [Vue 3](https://vuejs.org/) + TypeScript | +| UI | [shadcn-vue](https://www.shadcn-vue.com/) + Tailwind CSS | +| 编辑器 | [CodeMirror 6](https://codemirror.net/) | +| 后端 | Rust + [sqlx](https://github.com/launchbadge/sqlx) / [tiberius](https://github.com/prisma/tiberius) / [redis-rs](https://github.com/redis-rs/redis-rs) / [mongodb](https://github.com/mongodb/mongo-rust-driver) | -## Documentation +## 文档 -- [Official docs](https://dbxio.com/en/docs/what-is-dbx) — feature guides and tutorials -- [Contributing](CONTRIBUTING.md) — how to pick up issues and open PRs -- [Web API reference](docs/content/docs/web-api.mdx) — HTTP API for Docker/Web deployments -- [Examples](examples/) — CLI, MCP, Docker, and API samples +- [官方文档](https://dbxio.com/cn/docs/what-is-dbx) — 功能说明与使用教程 +- [贡献指南](CONTRIBUTING.zh-CN.md) — 如何认领 Issue 并提交 PR +- [Web API 参考](docs/content/docs/web-api.cn.mdx) — Docker/Web 部署的 HTTP API +- [示例代码](examples/) — CLI、MCP、Docker 与 API 示例 -## Community +## 社区 -Discord -QQ Group -WeChat Group -[![LINUX DO](https://img.shields.io/badge/LINUX%20DO-Community-blue)](https://linux.do) +Discord +QQ 群 +微信交流群 +[![LINUX DO](https://img.shields.io/badge/LINUX%20DO-社区-blue)](https://linux.do) -## FAQ +## 常见问题
-Is DBX free? -Yes. DBX is open source under Apache-2.0. All features are free. +DBX 是免费的吗？ +是的。DBX 基于 Apache-2.0 协议开源，所有功能均免费使用。
-Does DBX phone home? -No. DBX does not collect telemetry. The auto-update feature checks GitHub Releases for new versions — you can disable it in settings. +DBX 会收集用户数据吗？ +不会。DBX 不收集任何遥测数据。自动更新功能仅检查 GitHub Releases 获取新版本——你可以在设置中禁用它。
-Can I use DBX without an internet connection? -Yes. The desktop app works fully offline. For air-gapped driver installs, download offline driver packages from the [Offline Drivers page](https://dbxio.com/en/drivers) on an internet-connected machine, transfer them to the offline machine, then import them in DBX from Settings > Driver Manager. AI features need network access to the model endpoint (or a local model via Ollama). +可以离线使用吗？ +可以。桌面端完全支持离线使用。内网环境安装驱动时，可在有网机器打开[离线驱动下载页](https://dbxio.com/cn/drivers)下载离线驱动包，传输到内网机器后，在 DBX 的「设置 > 驱动管理」中导入。AI 功能需要网络访问模型端点（或通过 Ollama 使用本地模型）。
-How is DBX different from DBeaver / TablePlus / Beekeeper Studio? -DBX is 20 MB with no runtime dependencies (no Java, no Python). It includes AI and MCP natively — not as plugins. It supports 60+ databases across desktop, Docker, and web from a single codebase. +DBX 和 DBeaver / TablePlus / Beekeeper Studio 有什么区别？ +DBX 仅 20 MB，无需运行时依赖（无需 Java、无需 Python）。AI 和 MCP 是原生内置功能，不是插件。单一代码库同时支持 60+ 数据库、桌面端、Docker 和 Web。
-What databases are supported? -MySQL, PostgreSQL, SQLite, Cloudflare D1, Redis, MongoDB, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, Qdrant, Milvus, Weaviate, MariaDB, TiDB, OceanBase, openGauss, GaussDB, KWDB, KingBase, Vastbase, GoldenDB, Doris, SelectDB, StarRocks, Manticore Search, Redshift, DM, TDengine, XuguDB, CockroachDB, Access, HighGo, and more. Agent/JDBC-oriented profiles extend support to H2, Snowflake, Trino, PrestoSQL, Hive, DB2, Informix, Neo4j, Cassandra, BigQuery, Kylin, SunDB, Databricks, SAP HANA, Teradata, Vertica, Firebird, Exasol, YashanDB, GBase 8a/8s, Databend, RQLite, Turso, InfluxDB, QuestDB, IoTDB, etcd, ZooKeeper, Nacos, IRIS, and custom JDBC connections. Message queue admin (Pulsar, Kafka, RocketMQ) is also supported. +支持哪些数据库？ +MySQL、PostgreSQL、SQLite、Cloudflare D1、Redis、MongoDB、DuckDB、ClickHouse、SQL Server、Oracle、Elasticsearch、Qdrant、Milvus、Weaviate、MariaDB、TiDB、OceanBase、openGauss、GaussDB、KWDB、KingBase、Vastbase、GoldenDB、Doris、SelectDB、StarRocks、Manticore Search、Redshift、DM、TDengine、虚谷 XuguDB、CockroachDB、Access、HighGo 等。JDBC 方向配置可扩展到 H2、Snowflake、Trino、PrestoSQL、Hive、DB2、Informix、Neo4j、Cassandra、BigQuery、Kylin、SunDB、Databricks、SAP HANA、Teradata、Vertica、Firebird、Exasol、崖山 YashanDB、GBase 8a/8s、Databend、RQLite、Turso、InfluxDB、QuestDB、IoTDB、etcd、ZooKeeper、Nacos、IRIS 及自定义 JDBC 连接，并支持消息队列管理（Pulsar、Kafka、RocketMQ）。
-How do I report a bug or request a feature? -Open an issue on GitHub Issues. +如何报告 Bug 或请求新功能？ +在 GitHub Issues 提交 Issue。
-## Contributors +## 贡献者 @@ -428,6 +428,6 @@ Open an issue on GitHub Issues. -## License +## 开源协议 [Apache-2.0](LICENSE)