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Chat2DB is an open source and free multi-database client tool that supports local installation on windows and mac, server-side deployment and web page access.
Compared with traditional database client software Navicat and DBeaver, Chat2DB integrates the ability of AIGC, which can convert natural language into SQL , and can also convert SQL into natural language , and can give developers SQL optimization suggestions , which greatly improves The efficiency of personnel is a powerful tool for database developers in the AI era. In the future, even those who do not understand SQL operations can use the ability to quickly query business data and generate reports.
characteristic
1. AI smart assistant, supports natural language to SQL, SQL to natural language, SQL optimization suggestions
2. Support teamwork, research and development do not need to know the online database password, solve the security problem of enterprise database account
3. Powerful data management capabilities, supporting the management of data tables, views, stored procedures, functions, triggers, indexes, sequences, users, roles, authorizations, etc.
4. Powerful scalability, currently supports MySQL, PostgreSQL, Oracle, SQLServer, ClickHouse, OceanBase, H2, SQLite, etc., and will support more databases in the future
5. The front end is developed with Electron, providing an integrated solution for Windows, Mac, Linux clients, and web versions
6. Support environmental isolation, online, and separation of daily data permissions
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Installation package download
| describe | download link |
|---|---|
| Windows | https://oss-chat2db.alibaba.com/release/1.0.11/Chat2DB%20Setup%201.0.11.exe |
| MacOS ARM64 (Apple chip) | https://oss-chat2db.alibaba.com/release/1.0.11/Chat2DB-1.0.11-arm64.dmg |
| MacOS X64 (Intel chip) | https://oss-chat2db.alibaba.com/release/1.0.11/Chat2DB-1.0.11.dmg |
| Jar package | https://oss-chat2db.alibaba.com/release/1.0.11/ali-dbhub-server-start.jar |
Docker installation
docker pull chat2db/chat2db:latest
// 前台运行,运行后不能关闭命令行
docker run -ti --name=chat2db -p 10824:10824 chat2db/chat2db:latest
// 后台运行,运行后可以关闭命令行
docker run --name=chat2db -p 10824:10824 chat2db/chat2db:latest
// 这里正常会提示 Tomcat started on port(s): 10824 (http) with context path 就可以结束了
// 如果这里提示 The container name "/chat2db" is already in use by container, 代表已经存在容器了 运行
dcoker run chat2db
// 如果想更新chat2db 则需要先rm 再运行
dcoker rm chat2dbuse
create connection
Data source management
proxy configuration
OpenAI's Api Key and local proxy configuration need to be configured before use
natural language conversion
## ---BEGIN---
## 查询学生小明的各科目成绩
## ---自然语言转换:---
SELECT score.score
FROM score
INNER JOIN student_course ON score.course_id = student_course.course_id
INNER JOIN student ON student_course.student_id = student.id
WHERE student.name = '小明'
## --- END ---sql optimization
## ---BEGIN---
## SELECT score.score
FROM score
INNER JOIN student_course ON score.course_id = student_course.course_id
INNER JOIN student ON student_course.student_id = student.id
WHERE student.name = '小明'
## ---SQL优化:---
优化建议：
1. 索引优化：为student表的name字段创建索引，可以加快WHERE条件的查询速度。
2. JOIN优化：可以使用子查询或者临时表的方式，将student表中name为小明的记录先筛选出来，再进行JOIN操作，可以减少JOIN操作的数据量，提高查询效率。
3. 数据库设计优化：可以考虑将student表和student_course表合并为一张表，避免JOIN操作，提高查询效率。
4. 缓存优化：可以将查询结果缓存起来，避免重复查询，提高查询效率。
## --- END ---Once upon a time, in order to write a good SQL, my colleagues walked around the workstation and bald their hair; with this artifact, I believe that every developer can not only easily write SQL, but also write High-quality SQL.
Open source address: https://github.com/chat2db/Chat2DB
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