https://github.com/paw-sql/pawsql-vscode
PawSQL Client enables developers to access core capabilities of the PawSQL directly within VSCode enviroment. PawSQL provides sophisticated SQL optimization features including smart index recommendations and query rewrites.
https://github.com/paw-sql/pawsql-vscode
indexing mariadb mysql optimization oracle performance postgresql query sql tuning
Last synced: over 1 year ago
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PawSQL Client enables developers to access core capabilities of the PawSQL directly within VSCode enviroment. PawSQL provides sophisticated SQL optimization features including smart index recommendations and query rewrites.
- Host: GitHub
- URL: https://github.com/paw-sql/pawsql-vscode
- Owner: Paw-SQL
- License: mit
- Created: 2024-10-23T08:46:52.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-20T08:22:33.000Z (over 1 year ago)
- Last Synced: 2024-11-20T10:19:25.532Z (over 1 year ago)
- Topics: indexing, mariadb, mysql, optimization, oracle, performance, postgresql, query, sql, tuning
- Language: TypeScript
- Homepage: https://docs.pawsql.com
- Size: 1.34 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
Awesome Lists containing this project
README
Optimize your SQL Queries by Clicks within your VSCode!
[](https://marketplace.visualstudio.com/items?itemName=PawSQL.pawsqlClient)
[](https://marketplace.visualstudio.com/items?itemName=PawSQL.pawsqlClient)

## Optimize a SQL Query
1. **Optimize in Default Workspace**:
- Click the "Optimize" button in the SQL statement prompt
2. **Optimize in Specific Workspace**:
- Click the "Optimize..." button in the SQL statement prompt
- Select a workspace from the dropdown menu
## Features
- **Index Advise**: Recommend optimal indexes based on input SQL syntax, database objects and statistics information
- **Query Rewrite**: Recommend semantically equivalent, but more efficient SQLs
- **Performance Validation**: Ensure better performance after SQL rewrite and index recommendation
## Supported Databases
MySQL, PostgreSQL, MariaDB, Oracle, openGauss, KingbaseES, GaussDB, Dameng, RDS for MySQL and etc.
## Resources
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