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Implement Multi-Database Plugin Architecture for PostgreSQL and MySQL#47
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Co-authored-by: quyen082 <193709075+quyen082@users.noreply.github.com>
Co-authored-by: quyen082 <193709075+quyen082@users.noreply.github.com>
Co-authored-by: quyen082 <193709075+quyen082@users.noreply.github.com>
…tecture Co-authored-by: quyen082 <193709075+quyen082@users.noreply.github.com>
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[WIP] Implement Multi-Database FRD: Plugin Architecture for PostgreSQL, MySQL, SQLite
Implement Multi-Database Plugin Architecture for PostgreSQL, MySQL, and SQLite
Sep 21, 2025
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@quyen082 remove sqlite implementation, mysql and postgresql is enough for testing the implementation |
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Jan 24, 2026
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Remove sqlite implementation, keep only mysql and postgresql
Agent-Logs-Url: https://github.com/grokking-vietnam/playground/sessions/1258b306-298d-48f6-b1e7-51d5f2bc61ca Co-authored-by: quyen082 <193709075+quyen082@users.noreply.github.com>
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Done. Removed the SQLite implementation in commit
SQLite implementation has been removed in commit |
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Implement Multi-Database Plugin Architecture for PostgreSQL, MySQL, and SQLite
Implement Multi-Database Plugin Architecture for PostgreSQL and MySQL
Mar 29, 2026
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This PR implements a comprehensive multi-database plugin architecture that enables the SQL editor to support PostgreSQL and MySQL databases through a unified, extensible interface.
🏗️ Architecture Overview
The implementation introduces a plugin-based system where each database engine is a self-contained module that implements a consistent interface:
🚀 Key Features
PostgreSQL Engine
pglibraryinformation_schemaMySQL Engine
mysql2library📁 File Structure
🔧 Technical Implementation
Connection Management
Each engine provides database-specific connection handling:
Query Execution
Engine-specific query execution with:
Schema Introspection
Database metadata discovery using engine-native approaches:
information_schemaandpg_catalogqueriesinformation_schemawith MySQL-specific extensions🎯 Engine Capabilities
📦 Dependencies Added
{ "pg": "^8.11.0", "mysql2": "^3.6.0" }The plugin architecture is designed for easy extensibility - adding new database engines requires only implementing the base interfaces without modifying existing code.
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