Turso 是一个进程内 SQL 数据库,与 SQLite 兼容。
Turso is an in-process SQL database, compatible with SQLite

原始链接: https://github.com/tursodatabase/turso

## Turso 数据库:下一代 SQLite Turso 数据库是一个新的、进程内 SQL 数据库,使用 Rust 编写,旨在成为 SQLite 的下一代发展。目前处于 BETA 阶段,它优先考虑 SQLite 兼容性——支持 SQL 方言、文件格式和 C API——同时增加现代功能。 主要功能包括变更数据捕获 (CDC)、多语言支持 (Rust、JavaScript、Python、Go、Java)、异步 I/O (Linux)、向量搜索能力和改进的模式管理。 实验性功能,如使用 `BEGIN CONCURRENT` 的多版本并发控制 (MVCC)、静态加密和全文搜索也可用。 Turso 提供命令行界面进行交互,并通过模型上下文协议 (MCP) 服务器与 AI 助手集成。 该项目积极鼓励贡献,并为未被其确定性模拟测试发现的数据损坏漏洞提供赏金(最高 1,000 美元)。 **重要提示:** Turso 数据库尚未准备好用于生产环境,并且正在快速发展,取代 libSQL 项目成为主要关注点。 更多信息和安装说明请参阅 Turso 数据库手册。

Turso 是一个进程内 SQL 数据库,兼容 SQLite (github.com/tursodatabase) 11 分,marklit 发表于 1 小时前 | 隐藏 | 过去 | 收藏 | 1 条评论 loloquwowndueo 发表于 0 分钟前 [–] 但我以为 Turso 已经有了一个 SQLite 兼容的东西,libsqlite! 结果在自述文件中说明:libsqlite 是一个分支(大概是 C 语言),而 Turso 数据库是用 Rust 重写的。 祝 Turso 的朋友们好运! 回复 指南 | 常见问题 | 列表 | API | 安全 | 法律 | 申请 YC | 联系 搜索:
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原文

Turso Database

An in-process SQL database, compatible with SQLite.

Crate NPM PyPI Maven Central

Chat with the Core Developers on Discord

Chat with other users of Turso (and Turso Cloud) on Discord


Turso Database is an in-process SQL database written in Rust, compatible with SQLite.

⚠️ Warning: This software is in BETA. It may still contain bugs and unexpected behavior. Use caution with production data and ensure you have backups.

  • SQLite compatibility for SQL dialect, file formats, and the C API [see document for details]
  • Change data capture (CDC) for real-time tracking of database changes.
  • Multi-language support for
  • Asynchronous I/O support on Linux with io_uring
  • Cross-platform support for Linux, macOS, Windows and browsers (through WebAssembly)
  • Vector support support including exact search and vector manipulation
  • Improved schema management including extended ALTER support and faster schema changes.

The database has the following experimental features:

  • BEGIN CONCURRENT for improved write throughput using multi-version concurrency control (MVCC).
  • Encryption at rest for protecting the data locally.
  • Incremental computation using DBSP for incremental view maintenance and query subscriptions.
  • Full-Text-Search powered by the awesome tantivy library

The following features are on our current roadmap:

Please see the Turso Database Manual for more information.

💻 Command Line
You can install the latest `turso` release with:
curl --proto '=https' --tlsv1.2 -LsSf \
  https://github.com/tursodatabase/turso/releases/latest/download/turso_cli-installer.sh | sh

Then launch the interactive shell:

This will start the Turso interactive shell where you can execute SQL statements:

Turso
Enter ".help" for usage hints.
Connected to a transient in-memory database.
Use ".open FILENAME" to reopen on a persistent database
turso> CREATE TABLE users (id INT, username TEXT);
turso> INSERT INTO users VALUES (1, 'alice');
turso> INSERT INTO users VALUES (2, 'bob');
turso> SELECT * FROM users;
1|alice
2|bob

You can also build and run the latest development version with:

If you like docker, we got you covered. Simply run this in the root folder:

make docker-cli-build && \
make docker-cli-run
🦀 Rust

Example usage:

let db = Builder::new_local("sqlite.db").build().await?;
let conn = db.connect()?;

let res = conn.query("SELECT * FROM users", ()).await?;
✨ JavaScript
npm i @tursodatabase/database

Example usage:

import { connect } from '@tursodatabase/database';

const db = await connect('sqlite.db');
const stmt = db.prepare('SELECT * FROM users');
const users = stmt.all();
console.log(users);
🐍 Python

Example usage:

import turso

con = turso.connect("sqlite.db")
cur = con.cursor()
res = cur.execute("SELECT * FROM users")
print(res.fetchone())
🦫 Go
go get turso.tech/database/tursogo
go install turso.tech/database/tursogo

Example usage:

import (
    "database/sql"
    _ "turso.tech/database/tursogo"
)

conn, _ = sql.Open("turso", "sqlite.db")
defer conn.Close()

stmt, _ := conn.Prepare("select * from users")
defer stmt.Close()

rows, _ = stmt.Query()
for rows.Next() {
    var id int
    var username string
    _ := rows.Scan(&id, &username)
    fmt.Printf("User: ID: %d, Username: %s\n", id, username)
}
☕️ Java

We integrated Turso Database into JDBC. For detailed instructions on how to use Turso Database with java, please refer to the README.md under bindings/java.

🤖 MCP Server Mode

The Turso CLI includes a built-in Model Context Protocol (MCP) server that allows AI assistants to interact with your databases.

Start the MCP server with:

tursodb your_database.db --mcp

Add Turso to your MCP client configuration:

{
  "mcpServers": {
    "turso": {
      "command": "/path/to/.turso/tursodb",
      "args": ["/path/to/your/database.db", "--mcp"]
    }
  }
}

The MCP server provides nine tools for database interaction:

  1. open_database - Open a new database
  2. current_database - Describe the current database
  3. list_tables - List all tables in the database
  4. describe_table - Describe the structure of a specific table
  5. execute_query - Execute read-only SELECT queries
  6. insert_data - Insert new data into tables
  7. update_data - Update existing data in tables
  8. delete_data - Delete data from tables
  9. schema_change - Execute schema modification statements (CREATE TABLE, ALTER TABLE, DROP TABLE)

Once connected, you can ask your AI assistant:

  • "Show me all tables in the database"
  • "What's the schema for the users table?"
  • "Find all posts with more than 100 upvotes"
  • "Insert a new user with name 'Alice' and email '[email protected]'"
Claude Code

If you're using Claude Code, you can easily connect to your Turso MCP server using the built-in MCP management commands:

  1. Add the MCP server to Claude Code:

    claude mcp add my-database -- tursodb ./path/to/your/database.db --mcp
  2. Restart Claude Code to activate the connection

  3. Start querying your database through natural language!

claude mcp add my-database -- tursodb ./path/to/your/database.db --mcp
#              ↑            ↑       ↑                           ↑
#              |            |       |                           |
#              Name         |       Database path               MCP flag
#                          Separator
  • my-database - Choose any name for your MCP server
  • -- - Required separator between Claude options and your command
  • tursodb - The Turso database CLI
  • ./path/to/your/database.db - Path to your SQLite database file
  • --mcp - Enables MCP server mode
# For a local project database
cd /your/project
claude mcp add my-project-db -- tursodb ./data/app.db --mcp

# For an absolute path
claude mcp add analytics-db -- tursodb /Users/you/databases/analytics.db --mcp

# For a specific project (local scope)
claude mcp add project-db --local -- tursodb ./database.db --mcp
# List all configured MCP servers
claude mcp list

# Get details about a specific server
claude mcp get my-database

# Remove an MCP server
claude mcp remove my-database
Claude Desktop

For Claude Desktop, add the configuration to your claude_desktop_config.json file:

{
  "mcpServers": {
    "turso": {
      "command": "/path/to/.turso/tursodb",
      "args": ["./path/to/your/database.db.db", "--mcp"]
    }
  }
}
Cursor

For Cursor, configure MCP in your settings:

  1. Open Cursor settings
  2. Navigate to Extensions → MCP
  3. Add a new server with:
    • Name: turso
    • Command: /path/to/.turso/tursodb
    • Args: ["./path/to/your/database.db.db", "--mcp"]

Alternatively, you can add it to your Cursor configuration file directly.

The MCP server runs as a single process that handles multiple JSON-RPC requests over stdin/stdout. Here's how to interact with it directly:

Example with In-Memory Database

cat << 'EOF' | tursodb --mcp
{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-11-05", "capabilities": {}, "clientInfo": {"name": "client", "version": "1.0"}}}
{"jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": {"name": "schema_change", "arguments": {"query": "CREATE TABLE users (id INTEGER, name TEXT, email TEXT)"}}}
{"jsonrpc": "2.0", "id": 3, "method": "tools/call", "params": {"name": "list_tables", "arguments": {}}}
{"jsonrpc": "2.0", "id": 4, "method": "tools/call", "params": {"name": "insert_data", "arguments": {"query": "INSERT INTO users VALUES (1, 'Alice', '[email protected]')"}}}
{"jsonrpc": "2.0", "id": 5, "method": "tools/call", "params": {"name": "execute_query", "arguments": {"query": "SELECT * FROM users"}}}
EOF

Example with Existing Database

# Working with an existing database file
cat << 'EOF' | tursodb mydb.db --mcp
{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-11-05", "capabilities": {}, "clientInfo": {"name": "client", "version": "1.0"}}}
{"jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": {"name": "list_tables", "arguments": {}}}
EOF

We'd love to have you contribute to Turso Database! Please check out the contribution guide to get started.

Found a data corruption bug? Get up to $1,000.00

SQLite is loved because it is the most reliable database in the world. The next evolution of SQLite has to match or surpass this level of reliability. Turso is built with Deterministic Simulation Testing from the ground up, and is also tested by Antithesis.

Even during Alpha, if you find a bug that leads to a data corruption and demonstrate how our simulator failed to catch it, you can get up to $1,000.00. As the project matures we will increase the size of the prize, and the scope of the bugs.

List of rewarded cases:

  • B-Tree interior cell replacement issue in btrees with depth >=3 (#2106)
  • Don't allow autovacuum to be flipped on non-empty databases (#3830)

More details here.

Turso core staff are not eligible.

Is Turso Database ready for production use?

Turso Database is currently under heavy development and is not ready for production use.

How is Turso Database different from Turso's libSQL?

Turso Database is a project to build the next evolution of SQLite in Rust, with a strong open contribution focus and features like native async support, vector search, and more. The libSQL project is also an attempt to evolve SQLite in a similar direction, but through a fork rather than a rewrite.

Rewriting SQLite in Rust started as an unassuming experiment, and due to its incredible success, replaces libSQL as our intended direction. At this point, libSQL is production ready, Turso Database is not - although it is evolving rapidly. More details here.

  • Pekka Enberg, Sasu Tarkoma, Jon Crowcroft Ashwin Rao (2024). Serverless Runtime / Database Co-Design With Asynchronous I/O. In EdgeSys ‘24. [PDF]
  • Pekka Enberg, Sasu Tarkoma, and Ashwin Rao (2023). Towards Database and Serverless Runtime Co-Design. In CoNEXT-SW ’23. [PDF] [Slides]

This project is licensed under the MIT license.

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in Turso Database by you, shall be licensed as MIT, without any additional terms or conditions.

Thanks to all the partners of Turso!

Thanks to all the contributors to Turso Database!

联系我们 contact @ memedata.com