data-migration-best-practices
Operational data migration guidance. Use when moving or transforming persisted data between schemas, databases, services, or storage technologies; running large backfills; applying expand-and-contract schema changes; combining snapshots with live CDC/events; designing resumable batches and checkpoints; reconciling source and target; or planning cutover, rollback, and repair.
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原文涵盖的主题
- Data Migration Best Practices
- Workflow
- Decision Rules
- Safety Invariants
- Gates
- Related Skills
- Reference
Treat migration as a temporary production system with explicit correctness, capacity, observability, and retirement criteria. It changes persisted behavior and is not automatically a refactoring. 1. Define source authority, target contract, transformations, invariants, data classification, and tolerated downtime/staleness. 2. Choose a stable snapshot boundary or high-water mark and start durable capture of live changes before they can escape the snapshot. 3. Expand the target schema compatibly; keep old and new application versions interoperable during rolling deployment. 4. Backfill in bounded, idempotent, resumable batches with deterministic progress and explicit bad-row handling. 5. Apply captured deltas without allowing stale snapshot data to overwrite newer writes. 6. Reconcile availability, counts, identities, values, and domain invariants against a declared watermark. 7. Cut over only when freshness and discrepancy gates pass; monitor and retain a reversal or forward-repair path. 8. Contract old fields, code paths, capture infrastructure, and temporary permissions only after an observation window. Prefer direct transactional SQL for small same-database transformations that f
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- 来源仓库
- OKHP3/skillz
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- community/data-migration-best-practices/SKILL.md
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