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How does database operation and maintenance perform data archiving?

Database operation and maintenance (DB O&M) performs data archiving by systematically moving inactive or historical data from primary storage to secondary storage systems to improve performance, reduce costs, and ensure compliance. Here’s how it works:

  1. Identify Archivable Data: Determine which data is rarely accessed (e.g., logs older than 1 year, completed transactions).
  2. Define Archiving Policies: Set rules for retention periods, data formats, and access requirements.
  3. Extract and Transform Data: Export data from the production database, often using SQL queries or ETL tools, and convert it into a suitable archive format (e.g., compressed files or specialized archive databases).
  4. Store in Archive Storage: Move the data to cost-effective storage solutions like object storage (e.g., Tencent Cloud COS) or cold databases (e.g., Tencent Cloud TDSQL-C for archival workloads).
  5. Maintain Accessibility: Ensure archived data can be retrieved when needed, often by indexing or metadata tagging.

Example: A financial service archives transaction records older than 3 years to Tencent Cloud COS, compressing files and setting lifecycle policies to transition them to lower-cost storage tiers.

For cloud-based archiving, Tencent Cloud offers COS for object storage and TDSQL-C for scalable archival databases, ensuring secure and cost-efficient data management.