Analyze Prisma schemas for performance, relation design, index strategy, migration safety, and query optimization — audit schema.prisma for production readin...
--- name: prisma-schema-analyzer description: Analyze Prisma schemas for performance, relation design, index strategy, migration safety, and query optimization — audit schema.prisma for production readiness. metadata: tags: ["prisma", "orm", "database", "typescript", "performance"] --- # Prisma Schema Analyzer Analyze Prisma schemas for performance issues, relation design problems, missing indexes, migration risks, and query optimization opportunities. Audit `schema.prisma` for production readiness and recommend improvements. ## Usage ``` "Analyze my Prisma schema for issues" "Check for missing indexes in my Prisma schema" "Review Prisma relations for N+1 risks" "Audit migration safety for my schema changes" ``` ## How It Works ### 1. Schema Discovery ```bash cat prisma/schema.prisma 2>/dev/null find . -name "schema.prisma" 2>/dev/null # Check migrations ls prisma/migrations/ 2>/dev/null | tail -10 ``` ### 2. Model Analysis **Field design:** - Proper types for each field (String vs Int vs DateTime) - Missing `@default` values where applicable - `@updatedAt` on models that need update tracking - Optional fields (`?`) that should be required - Enum usage vs string for fixed-value fields - JSON fields where structured models would be better **ID strategy:** - `@id` type: autoincrement vs cuid vs uuid - Composite keys where appropriate (`@@id`) - Performance implications of UUID PKs vs integer **Naming conventions:** - Model names: PascalCase - Field names: camelCase - Relation names: descriptive - `@@map` and `@map` for DB-native naming ### 3. Index Strategy - Missing indexes on foreign key fields - Missing indexes on fields used in `where` clauses - Composite indexes for multi-column queries (`@@index`) - Unique constraints for business rules (`@@unique`) - Full-text indexes for search fields - Index on `createdAt` / `updatedAt` for time-based queries ### 4. Relation Analysis - Implicit many-to-many (Prisma auto-creates join table — OK for simple cases) - Explicit many-to-many needed for extra fields on the relation - One-to-one relations: which side owns the FK? - Cascade delete configuration (`onDelete: Cascade` vs `SetNull` vs `Restrict`) - Self-relations (tree structures, followers) - Relation loading patterns (include vs select) ### 5. Query Optimization Review Prisma Client usage in codebase: ```bash grep -rn "prisma\.\w\+\.find\|prisma\.\w\+\.create\|prisma\.\w\+\.update" src/ | head -30 grep -rn "include:" src/ | head -20 ``` - N+1 queries: loops with individual `findUnique` - Over-fetching: `findMany` without `select` - Missing pagination: `findMany` without `take`/`skip` - Raw queries that could use Prisma Client - Transaction usage for multi-step operations ### 6. Migration Safety ```bash npx prisma migrate diff --from-schema-datamodel prisma/schema.prisma --to-schema-datasource prisma/schema.prisma --script 2>/dev/null ``` - Destructive changes: dropped columns, renamed fields - Locking operations: new indexes on large tables - Data migration needed: type changes, default additions - Backward compatibility: can old code run with new schema? ## Output ``` ## Prisma Schema Analysis **Models:** 14 | **Relations:** 22 | **Indexes:** 8 | **Enums:** 5 ### 🔴 Critical (2) 1. **Missing index on Order.userId** — prisma/schema.prisma:45 `userId String` without `@@index([userId])` Orders table has FK queries on every page load → Add `@@index([userId])` to Order model 2. **Cascade delete on User → Orders** — prisma/schema.prisma:12 Deleting a user cascades to all orders (financial records!) → Change to `onDelete: Restrict` or `SetNull` ### 🟡 Improvements (4) 3. Missing `@updatedAt` on 8 models 4. Using String for `status` fields — use enum OrderStatus 5. Implicit many-to-many Tag-Post — add explicit for metadata 6. No composite index on `[userId, createdAt]` (common query pattern) ### 📊 Schema Metrics - Average fields per model: 8.2 - Models with indexes: 6/14 (43%) - Relations with explicit cascade: 4/22 (18%) - Optional fields: 23 (review if all truly optional) ### ✅ Good Practices - cuid() for all primary keys (distributed-safe) - Enum types for status fields - @map/@@ for Postgres naming conventions - Proper DateTime fields with @default(now()) ```
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