Database Migration Summary

Core Achievements

• Successful migration from MySQL to PostgreSQL for analytics database
• Enhanced performance and simplified infrastructure management
• Standardized database platform across systems

Implementation Process

• Planning

  • Selected PgLoader over AWS DMS after evaluation
  • Established test environment
  • Prepared migration scripts and rollback plans

• Technical Execution

  • Implemented controlled service shutdown
  • Executed schema migration via Liquibase
  • Performed data transfer using PgLoader
  • Conducted system verification post-restart

Technical Challenges & Solutions

• JVM Heap Space Issues
  • Resolved through segmented loading of large tables
• Data Integrity
  • Addressed null constraint violations
  • Managed MySQL/PostgreSQL compatibility differences

Key Learnings

• PgLoader proved effective for handling object dependencies
• Separate handling of schema and data migration was beneficial
• Comprehensive rollback planning was essential
• Planned downtime strategy was appropriate for the scenario

Conclusion

The migration successfully achieved its primary objectives, resulting in a more robust analytics infrastructure with improved maintainability. The project demonstrated the effectiveness of careful planning and appropriate tool selection in managing complex database migrations.