@wavequery/analyser
v0.0.45
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Database analyser and visualiser
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WaveQuery Database Analyser
WaveQuery Database Analyser is a powerful tool for analyzing and visualizing database schemas. It supports MySQL, PostgreSQL, MariaDB, BigQuery and SQLite databases, providing detailed information about tables, relationships, indexes, constraints, stored procedures, and views.
Try it Live
Want to see the power of WaveQuery Database Analyser in action? Visit our interactive playground at WaveQuery Playground. Here you can:
- Explore sample database schemas
- Visualize relationships and table structures
- Test queries and see real-time results
- Experience the analyzer's features without any setup
Features
- Support for MySQL, PostgreSQL, MariaDB, BigQuery and SQLite databases
- Detailed schema analysis including tables, columns, relationships, indexes, and constraints
- Visualization of database schema using D3.js
- Detection of junction tables for many-to-many relationships
- Information about stored procedures and views
- ability to manually add relationships and annotations
- Export schema data as JSON
Installation
npm install @wavequery/analyser
Usage
CLI
To analyze a database and start the visualization server:
npx @wavequery/analyser -t <database_type> -h <host> -p <port> -u <username> -P <password> -d <database_name> -s -o /path/to/somewhere/
Options:
-t, --type
: Database type (postgres, mariadb, sqlite)-h, --host
: Database host-p, --port
: Database port-u, --user
: Database user-P, --password
: Database password-d, --database
: Database name-f, --file
: SQLite database file path (for SQLite only)-o, --output <path>
, Path to export the JSON file-s, --serve
: Start the visualization server after analysis--debug
: Enable debug logging
Example:
npx @wavequery/analyser -t postgres -h localhost -p 5432 -u myuser -P mypassword -d mydb -s
After running the command, open a web browser and navigate to the URL provided in the console output to view the schema visualization.
As a Library
You can also use DB Schema Finder as a library in your own projects. Here's a basic example:
import { analyzeDatabase } from '@wavequery/analyser';
import { PostgresConnector } from '@wavequery/analyser';
async function runAnalysis() {
const connector = new PostgresConnector({
host: 'localhost',
port: 5432,
user: 'myuser',
password: 'mypassword',
database: 'mydb'
});
try {
const result = await analyzeDatabase({connector, exportData});
console.log(JSON.stringify(result, null, 2));
} catch (error) {
console.error('Analysis failed:', error);
}
}
runAnalysis();
Contributing
This is a private package. For contribution guidelines, please contact the package maintainers.
License
This project is licensed under the MIT License. For licensing inquiries, please contact the package maintainers.