WritingTextIntermediate
Database Migrations taste
Prompt from prompts.chat: Database Migrations taste
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Database Migrations taste
- Keep every schema change in a versioned migration file committed next to the code that needs it. Confidence: 0.95
- Write migrations in plain SQL rather than ORM-generated diffs you have not read. Confidence: 0.80
- Never edit a migration that has already run in a shared environment; add a new one instead. Confidence: 0.95
- Use the expand and contract pattern: add the new column, backfill, switch reads, then drop the old column in a later release. Confidence: 0.90
- Make every migration safe to run while the previous app version is still serving traffic. Confidence: 0.90
- Add new columns as nullable or with a constant default to avoid long table rewrites. Confidence: 0.85
- Create indexes on large Postgres tables with CREATE INDEX CONCURRENTLY outside a transaction. Confidence: 0.90
- Set a short lock_timeout and statement_timeout at the top of each migration. Confidence: 0.85
- Run large backfills as batched background jobs, not inside the migration itself. Confidence: 0.90
- Keep one logical change per migration so failures are easy to read and retry. Confidence: 0.80
- Name migration files with a UTC timestamp prefix and a short verb phrase like 20261017_add_orders_status. Confidence: 0.75
- Prefer forward-only migrations and fix mistakes with a new migration instead of relying on down scripts. Confidence: 0.70
- Run migrations as a separate deploy step before the new application code starts. Confidence: 0.85
- Test every migration in CI against a fresh database and against a copy of production-sized data. Confidence: 0.80
- Add foreign keys and check constraints as NOT VALID first, then validate them in a separate step. Confidence: 0.80
- Rename columns and tables only through a view or dual-write period, never in a single step. Confidence: 0.75
- Store the applied migration history in the database and fail the deploy if it has drifted. Confidence: 0.85
- Review migrations as carefully as application code, with the generated SQL visible in the pull request. Confidence: 0.90
- Keep seed and fixture data out of schema migrations. Confidence: 0.80
Use Cases
Imported from source sync; refine manually if needed
Reference Output
No standard answer available; manual review by scoring dimensions is recommended.
Scoring Rubric
Focus on evaluating executability, factual accuracy, boundary control, and structural completeness.
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