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AliSQL

AliSQL is a MySQL branch originated from Alibaba Group. Fetch document from Release Notes at bottom.

Install / Use

/learn @alibaba/AliSQL
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

<p align="center"> <img src="./alisql-logo.png" width="180" alt="AliSQL Logo"/> </p> <h1 align="center">AliSQL</h1> <p align="center"> <strong>Alibaba's Enterprise MySQL Branch with DuckDB OLAP & Native Vector Search</strong> </p> <p align="center"> <em>Battle-tested in Alibaba's production environment, powering millions of databases</em> </p> <p align="center"> <a href="https://github.com/alibaba/AliSQL/stargazers"><img src="https://img.shields.io/github/stars/alibaba/AliSQL?style=for-the-badge&logo=github&color=ffca28" alt="GitHub Stars"></a> <a href="https://github.com/alibaba/AliSQL/network/members"><img src="https://img.shields.io/github/forks/alibaba/AliSQL?style=for-the-badge&logo=github&color=8bc34a" alt="GitHub Forks"></a> <a href="https://github.com/alibaba/AliSQL/blob/master/LICENSE"><img src="https://img.shields.io/badge/License-GPL%202.0-blue?style=for-the-badge" alt="License"></a> <a href="https://github.com/alibaba/AliSQL/releases"><img src="https://img.shields.io/badge/MySQL-8.0.44%20LTS-orange?style=for-the-badge&logo=mysql&logoColor=white" alt="MySQL Version"></a> </p> <p align="center"> <a href="#key-features">Features</a> • <a href="#quick-start">Quick Start</a> • <a href="#documentation">Docs</a> • <a href="#roadmap">Roadmap</a> • <a href="#contributing">Contributing</a> </p> <p align="center"> <a href="./README_zh.md">简体中文</a> | <a href="./README.md">English</a> </p>

Why AliSQL?

AliSQL brings enterprise-grade capabilities to MySQL, combining the reliability of InnoDB OLTP with DuckDB's blazing-fast analytics and native vector search — all through familiar MySQL interfaces.

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200x Faster Analytics

DuckDB columnar engine delivers 200x speedup on analytical queries compared to InnoDB

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Native Vector Search

Built-in HNSW algorithm supporting up to 16,383 dimensions for AI/ML workloads

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100% MySQL Compatible

Use your existing MySQL tools, drivers, and SQL — zero learning curve

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Key Features

| Feature | Description | Status | |---------|-------------|--------| | DuckDB Storage Engine | Columnar OLAP engine with automatic compression, perfect for analytics workloads | Available | | Vector Index (VIDX) | Native vector storage & ANN search with HNSW, supports COSINE & EUCLIDEAN distance | Available | | DDL Optimization | Instant DDL, parallel B+tree construction, non-blocking locks | Planned | | RTO Optimization | Accelerated crash recovery for faster instance startup | Planned | | Replication Boost | Binlog Parallel Flush, Binlog in Redo, large transaction optimization | Planned |

Quick Start

Option 1: Build from Source

# Clone the repository
git clone https://github.com/alibaba/AliSQL.git
cd AliSQL

# Build (release mode)
sh build.sh -t release -d ~/alisql

# Install
make install

Option 2: Set Up a DuckDB Analytical Node

Step-by-step guide: How to set up a DuckDB node

Initialize & Start Server

# Initialize data directory
~/alisql/bin/mysqld --initialize-insecure --datadir=~/alisql/data

# Start the server
~/alisql/bin/mysqld --datadir=~/alisql/data

Usage Examples

DuckDB for Analytics

-- Create an analytical table with DuckDB engine
CREATE TABLE sales_analytics (
    sale_date DATE,
    product_id INT,
    revenue DECIMAL(10,2),
    quantity INT
) ENGINE=DuckDB;

-- Run complex analytics (200x faster than InnoDB!)
SELECT
    DATE_FORMAT(sale_date, '%Y-%m') as month,
    SUM(revenue) as total_revenue,
    COUNT(*) as transactions
FROM sales_analytics
GROUP BY month
ORDER BY total_revenue DESC;

Vector Search for AI Applications

-- Create a table with vector column
CREATE TABLE embeddings (
    id INT PRIMARY KEY,
    content TEXT,
    embedding VECTOR(768)  -- 768-dimensional vectors
) ENGINE=InnoDB;

-- Create HNSW index for fast ANN search
CREATE VECTOR INDEX idx_embedding ON embeddings(embedding);

-- Find similar items using cosine distance
SELECT id, content,
       COSINE_DISTANCE(embedding, '[0.1, 0.2, ...]') as distance
FROM embeddings
ORDER BY distance
LIMIT 10;

Build Options

| Option | Description | Default | |--------|-------------|---------| | -t release\|debug | Build type | debug | | -d <dir> | Installation directory | /usr/local/alisql | | -g asan\|tsan | Enable sanitizer (memory/thread) | disabled | | -c | Enable code coverage (gcov) | disabled |

Prerequisites: CMake 3.x+, Python 3, GCC 7+ or Clang 5+

Roadmap

Q4 2025  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
         [x] DuckDB Storage Engine  [x] Vector Index (VIDX)   [x] Open Source

2026     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
         [ ] DDL Optimization       [ ] RTO Optimization      [ ] Replication Boost
             - Instant DDL              - Fast Crash Recovery     - Binlog Parallel Flush
             - Parallel B+tree          - Minimize RTO            - Binlog in Redo
             - Non-blocking Locks                                 - Large TX Optimization

Documentation

| Document | Description | |----------|-------------| | DuckDB Integration Guide | Complete guide for DuckDB storage engine | | Vector Index Guide | Native vector storage and ANN search | | Release Notes | What's new in AliSQL 8.0.44 | | Setup DuckDB Node | Quick setup guide for analytics |

External Resources:

Contributing

AliSQL became open source in December 2025 and is actively maintained by Alibaba Cloud Database Team.

We welcome contributions of all kinds!

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

For bugs and feature requests, please use GitHub Issues.

Related Tools

RDSAI CLI — AI-Powered Database Assistant

<p> <a href="https://github.com/aliyun/rdsai-cli"><img src="https://img.shields.io/badge/GitHub-rdsai--cli-blue?style=flat-square&logo=github" alt="RDSAI CLI"></a> <a href="https://www.python.org/downloads/"><img src="https://img.shields.io/badge/python-3.13+-blue.svg?style=flat-square" alt="Python 3.13+"></a> </p>

RDSAI CLI is a next-generation, AI-powered CLI that transforms how you interact with AliSQL and MySQL databases. Describe your intent in natural language, and the AI agent handles the rest.

# Install
curl -LsSf https://raw.githubusercontent.com/aliyun/rdsai-cli/main/install.sh | sh

# Connect and ask in natural language
rdsai --host localhost -u root -p secret -D mydb
mysql> analyze index usage on users table
mysql> show me slow queries from the last hour
mysql> why this query is slow: SELECT * FROM users WHERE name LIKE '%john%'

Key Features:

  • Natural language to SQL conversion (English/中文)
  • AI-powered query optimization and diagnostics
  • Execution plan analysis with Ctrl+E
  • Multi-model LLM support (Qwen, OpenAI, DeepSeek, Anthropic, etc.)
  • Performance benchmarking with automated analysis

👉 Get Started with RDSAI CLI

Community & Support

<table> <tr> <td align="center" width="50%">

GitHub Issues

For bug reports & feature requests

Open an Issue

</td> <td align="center" width="50%">

Alibaba Cloud RDS

Managed DuckDB analytical instances

Learn More

</td> </tr> </table>

License

AliSQL is licensed under GPL-2.0, the same license as MySQL.

See the LICENSE file for details.

Star History

<p align="center"> <a href="https://star-history.com/#alibaba/AliSQL&Date"> <img src="https://api.star-history.com/svg?repos=alibaba/AliSQL&type=Date" alt="Star History Chart" width="600"> </a> </p> <p align="center"> Made with care by <a href="https://www.alibabacloud.com/product/apsaradb-for-rds-mysql">Alibaba Cloud Database Team</a> </p> <p align="center"> <a href="https://github.com/alibaba/AliSQL">GitHub</a> • <a href="https://github.com/mysql/mysql-server">MySQL</a> • <a href="https://github.com/duckdb/duckdb">DuckDB</a> </p>
View on GitHub
GitHub Stars5.8k
CategoryData
Updated10m ago
Forks890

Languages

C++

Security Score

85/100

Audited on Apr 2, 2026

No findings