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Database design: schemas, migrations, queries, indexes, transactions. Normalization, query optimization, migration safety.
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基于 SOC 职业分类
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| name | database-design-principles |
| description | Database design: schemas, migrations, queries, indexes, transactions. Normalization, query optimization, migration safety. |
| user-invocable | false |
Normalization: start 3NF, denormalize only with measured perf need. One entity per table. No derived data unless explicit cache.
Naming: tables=plural snake_case (users, task_assignments). Columns=singular snake_case. FKs={table_singular}_id. Indexes=idx_{table}_{cols}. Constraints={type}_{table}_{cols}.
Required columns: id (bigint IDENTITY for single-DB, UUIDv7 for distributed — avoid random UUIDv4), created_at (timestamptz, immutable), updated_at (timestamptz, auto-update).
Data type selection: timestamptz over timestamp. text over varchar(n) unless constraint needed. numeric over float for money. bigint over int for IDs.
Safety: never drop prod columns without deprecation. Never rename directly (add new → migrate → drop old). Always reversible (up + down). Test on prod data copy.
Strategy: 1. additive → 2. backfill → 3. update code → 4. drop old in future migration.
Design-level: ensure indexes cover query access patterns. Validate query plans during schema review. For SQL coding patterns (parameterized queries, SELECT hygiene, N+1 avoidance, timeouts), see @.gemini/skills/sql-idioms/SKILL.md.
Transactions: for multi-row/table ops. Choose appropriate isolation level. Never hold during user interaction or external calls. For locking patterns (deadlock prevention, advisory locks, SKIP LOCKED), see @.gemini/skills/sql-idioms/SKILL.md § Concurrency & Locking.
Tables >100M rows or time-series data → range partition by time. Enables instant partition drops vs slow DELETE.
Row-Level Security: for multi-tenant data, enable RLS + FORCE to enforce database-level tenant isolation. Never rely solely on application-layer filtering. Index columns used in RLS policies.
Least privilege: create separate roles (readonly, writer) with specific table grants. Revoke default public access. Never use superuser for application queries.
Size pool as (CPU cores × 2) + disk spindles. Set idle_in_transaction_session_timeout = 30s. In transaction-mode pooling, avoid named prepared statements (use unnamed or deallocate).
