> ## Documentation Index > Fetch the complete documentation index at: https://clickhouse.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # chDB > chDB 是由 ClickHouse 驱动的进程内 SQL OLAP 引擎 chDB 是一个快速的进程内 SQL OLAP 引擎，由 [ClickHouse](https://github.com/clickhouse/clickhouse) v25.8.2.1 提供支持。 如果你想在编程语言中使用 ClickHouse 的强大能力，而无需连接到 ClickHouse server，就可以使用它。 ## 主要特性 * **进程内 SQL OLAP 引擎** - 由 ClickHouse 驱动，无需安装 ClickHouse server * **多种数据格式** - 支持 Parquet、CSV、JSON、Arrow、ORC 的输入和输出，以及 [另外 70 多种格式](https://clickhouse.com/docs/zh/reference/formats/index.md) * **尽量减少数据拷贝** - 借助 [python memoryview](https://docs.python.org/3/c-api/memoryview.html) 实现从 C++ 到 Python 的数据传递 * **丰富的 Python 生态集成** - 原生支持 Pandas、Arrow、DB API 2.0，可无缝融入现有数据科学工作流 * **零依赖项** - 无需安装外部数据库 * **DataStore API** - 与 pandas 兼容的 API，具备 SQL 优化能力，支持 630+ 个方法 ## DataStore: 与 pandas 兼容的 API **全新推出！** DataStore 提供与 pandas 兼容的 API，将熟悉的 pandas 语法与 ClickHouse 的高性能结合起来。 > [!TIP] > > **在 Hex 上快速开始** > > * 📖 [**入门教程**](https://app.hex.tech/partnerships/app/chDB-Tutorial-032XsQ4qoKtlXxcw49joav/latest) — 完成首次连接设置 > * 🚀 [**Hex 30 天延长试用**](https://app.hex.tech/signup/clickhouse-30) — 完整访问 ClickHouse 集成功能 ### 一行代码迁移 ```python theme={null} # Just change your import - your pandas code works unchanged - import pandas as pd + from chdb import datastore as pd df = pd.read_csv("data.csv") result = df[df['age'] > 25].groupby('city')['salary'].mean() ``` ### 性能亮点 | 操作 | pandas | DataStore | 加速比 | | - | - | - | - | | GroupBy 计数 | 347ms | 17ms | **19.93x** | | 复杂管道 | 2,047ms | 380ms | **5.39x** | | 过滤+排序+Head | 1,537ms | 350ms | **4.40x** | *基于 1000 万行数据的基准测试* ### DataStore 功能 * **630+ 个 API 方法** - 209 个 pandas DataFrame 方法，185+ 个 Accessor 方法 * **惰性求值** - 操作会编译为优化后的 SQL * **SQL 下推** - 过滤器和聚合在数据源端执行 * **通用数据源** - 可从文件、S3、数据库、数据湖读取 了解更多：[DataStore 文档](https://clickhouse.com/docs/zh/chdb/datastore/index.md) ## chDB 支持哪些语言？ chDB 提供以下语言绑定： * [Python](https://clickhouse.com/docs/zh/chdb/install/python.md) - [API 参考文档](https://clickhouse.com/docs/zh/chdb/api/python.md) * [Go](https://clickhouse.com/docs/zh/chdb/install/go.md) * [Rust](https://clickhouse.com/docs/zh/chdb/install/rust.md) * [Node.js](https://clickhouse.com/docs/zh/chdb/install/nodejs.md) * [Bun](https://clickhouse.com/docs/zh/chdb/install/bun.md) * [C 和 C++](https://clickhouse.com/docs/zh/chdb/install/c.md) ## 如何开始使用？ * 如果你使用的是 [Go](https://clickhouse.com/docs/zh/chdb/install/go.md)、[Rust](https://clickhouse.com/docs/zh/chdb/install/rust.md)、[Node.js](https://clickhouse.com/docs/zh/chdb/install/nodejs.md)、[Bun](https://clickhouse.com/docs/zh/chdb/install/bun.md) 或 [C 和 C++](https://clickhouse.com/docs/zh/chdb/install/c.md)，请查看对应语言的页面。 * 如果你使用的是 Python，请参阅[入门开发者指南](https://clickhouse.com/docs/zh/chdb/getting-started.md)或 [chDB 按需课程](https://learn.clickhouse.com/user_catalog_class/show/1901178)。 ### 面向 pandas 用户 如果你熟悉 pandas，可先从 DataStore API 开始，获得兼具 pandas 体验和 ClickHouse 性能的使用方式： * [DataStore 快速入门](https://clickhouse.com/docs/zh/chdb/datastore/quickstart.md) - 安装与一行迁移 * [从 pandas 迁移](https://clickhouse.com/docs/zh/chdb/guides/migration-from-pandas.md) - 分步迁移指南 * [Pandas 实用手册](https://clickhouse.com/docs/zh/chdb/guides/pandas-cookbook.md) - 常见用法 * [关键区别](https://clickhouse.com/docs/zh/chdb/guides/pandas-differences.md) - 与 pandas 的重要差异 * [性能指南](https://clickhouse.com/docs/zh/chdb/guides/pandas-performance.md) - 优化技巧 ### DataStore API 参考文档 * [工厂方法](https://clickhouse.com/docs/zh/chdb/datastore/factory-methods.md) - 从文件、数据库、云存储创建 * [查询构建](https://clickhouse.com/docs/zh/chdb/datastore/query-building.md) - SQL 风格操作 * [Pandas 兼容性](https://clickhouse.com/docs/zh/chdb/datastore/pandas-compat.md) - 209 个兼容方法 * [访问器](https://clickhouse.com/docs/zh/chdb/datastore/accessors.md) - .str、.dt、.arr、.json、.url、.ip、.geo * [配置](https://clickhouse.com/docs/zh/chdb/configuration/index.md) - 引擎、日志、性能分析 * [调试](https://clickhouse.com/docs/zh/chdb/debugging/index.md) - explain()、性能分析、日志 ### SQL API 指南 * [Python API 参考文档](https://clickhouse.com/docs/zh/chdb/api/python.md) - 完整的 SQL API 参考文档 * [JupySQL](https://clickhouse.com/docs/zh/chdb/guides/jupysql.md) * [查询 Pandas](https://clickhouse.com/docs/zh/chdb/guides/querying-pandas.md) * [查询 Apache Arrow](https://clickhouse.com/docs/zh/chdb/guides/querying-apache-arrow.md) * [查询 S3 中的数据](https://clickhouse.com/docs/zh/chdb/guides/querying-s3-bucket.md) * [查询 Parquet 文件](https://clickhouse.com/docs/zh/chdb/guides/querying-parquet.md) * [查询远程 ClickHouse](https://clickhouse.com/docs/zh/chdb/guides/query-remote-clickhouse.md) * [使用 clickhouse-local 数据库](https://clickhouse.com/docs/zh/chdb/guides/clickhouse-local.md) ## 介绍视频 观看一段关于 chDB 的简短介绍，了解它如何将 ClickHouse 的强大能力带到你的 Python 环境中： [YouTube 视频播放器](https://www.youtube.com/embed/e_yL0dlX6k4) ## 性能基准测试 chDB 在各种场景下都展现出卓越的性能： * **[嵌入式引擎的 ClickBench](https://benchmark.clickhouse.com/#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)** - SQL API 性能对比 * **[DataFrame Benchmark](https://benchmark.clickhouse.com/#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)** - DataFrame 引擎对比 * **[DataStore 与 Pandas 对比](https://clickhouse.com/docs/zh/chdb/datastore/index.md#performance)** - 在常见操作中，速度最高可达 pandas 的 20 倍 ![DataFrame 性能测试结果](https://mintcdn.com/private-7c7dfe99/LCIbqddLfKHZZnfk/images/chdb/df_bench.webp?fit=max\&auto=format\&n=LCIbqddLfKHZZnfk\&q=85\&s=a6102c6a7f8691a201ec941914c245ba) ## 关于 chDB * 在[博客](https://clickhouse.com/blog/chdb-embedded-clickhouse-rocket-engine-on-a-bicycle)上阅读 chDB 项目诞生的完整故事 * 在[博客](https://clickhouse.com/blog/welcome-chdb-to-clickhouse)上了解 chDB 及其用例 * 学习 [chDB 点播课程](https://learn.clickhouse.com/user_catalog_class/show/1901178) * 通过 [codapi 示例](https://antonz.org/trying-chdb/)在浏览器中体验 chDB * 更多示例请参见 ([https://github.com/chdb-io/chdb/tree/main/examples](https://github.com/chdb-io/chdb/tree/main/examples)) ## 许可证 chDB 采用 Apache License 2.0 许可证。更多信息，请参阅 [LICENSE](https://github.com/chdb-io/chdb/blob/main/LICENSE.txt)。