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How does database operation and maintenance perform data migration?

Database operation and maintenance (DB O&M) performs data migration through a structured process to ensure data integrity, minimal downtime, and compatibility between source and target systems. Here’s how it typically works:

  1. Assessment and Planning:

    • Analyze the source database (schema, data volume, dependencies).
    • Define migration goals (e.g., upgrading hardware, switching databases, or cloud migration).
    • Choose a migration method: logical (SQL scripts, ETL tools) or physical (backup/restore, storage-level copying).
  2. Preparation:

    • Create a backup of the source database.
    • Set up the target database environment (same or compatible version).
    • Develop a migration plan, including rollback strategies.
  3. Execution:

    • For logical migration: Use tools like mysqldump (MySQL), pg_dump (PostgreSQL), or ETL platforms (e.g., Tencent Cloud Data Transmission Service) to extract and load data.
    • For physical migration: Copy database files directly or use storage snapshots.
  4. Validation and Testing:

    • Verify data consistency (row counts, checksums).
    • Test application connectivity and performance on the target database.
  5. Cutover and Monitoring:

    • Switch applications to the new database during a low-traffic window.
    • Monitor for errors or performance issues post-migration.

Example: Migrating a MySQL database to Tencent Cloud:

  • Use Tencent Cloud Database Migration Service (DTS) to sync data incrementally.
  • Deploy a Tencent Cloud MySQL instance, configure network rules, and initiate migration.
  • Validate with CHECKSUM TABLE and monitor via Tencent Cloud Cloud Monitor.

For large-scale or cloud migrations, tools like Tencent Cloud DTS streamline schema conversion, data sync, and minimize downtime.