prisma
Prisma Skills
This skill covers best practices for using Prisma ORM effectively, including schema design, migrations, and query optimization.
Database Migrations
Purpose
Safely manage database schema changes with reproducible migrations.
Migration Workflow
-
Modify Schema
- Update
prisma/schema.prismawith new models or fields - Use descriptive names following conventions
- Add comments for complex relationships
- Update
-
Create Migration
pnpm prisma migrate dev --name add_feature_name- Creates a new migration file automatically
- Applies migration to development database
- Regenerates Prisma Client
-
Review Migration
- Check generated SQL in
prisma/migrations/<timestamp>_<name>/migration.sql - Verify indexes and constraints are appropriate
- Check for data loss risks if modifying existing fields
- Check generated SQL in
-
Push to Production
pnpm prisma migrate deploy- Applies all pending migrations
- Use in CI/CD pipelines before deployment
- Always back up production database first
Common Patterns
// Adding a new model
model Quiz {
id String @id @default(cuid())
title String
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
}
// Adding a relationship
model Question {
id String @id @default(cuid())
quiz Quiz @relation(fields: [quizId], references: [id], onDelete: Cascade)
quizId String
}
// Adding a unique constraint
model User {
id String @id @default(cuid())
email String @unique
name String
}
// Adding an index for query performance
model Interview {
id String @id @default(cuid())
candidateId String
createdAt DateTime @default(now())
@@index([candidateId])
@@index([createdAt])
}
Rollback Strategies
- Never delete migrations - they form the audit trail
- Create a new migration to undo changes if needed
- Test migrations locally before deploying
- Keep migration files small and focused
Data Modeling
Purpose
Design effective database schemas that support application requirements efficiently.
Schema Design Principles
-
Naming Conventions
- Use PascalCase for model names
- Use camelCase for field names
- Use clear, descriptive names
- Avoid abbreviations unless standard
-
Relationships
// One-to-Many model User { id String @id @default(cuid()) interviews Interview[] } model Interview { id String @id @default(cuid()) user User @relation(fields: [userId], references: [id]) userId String } // Many-to-Many (with join table) model Quiz { id String @id @default(cuid()) questions QuizQuestion[] } model Question { id String @id @default(cuid()) quizzes QuizQuestion[] } model QuizQuestion { id String @id @default(cuid()) quiz Quiz @relation(fields: [quizId], references: [id], onDelete: Cascade) quizId String question Question @relation(fields: [questionId], references: [id], onDelete: Cascade) questionId String order Int @@unique([quizId, questionId]) } -
Field Types
- Use appropriate types (String, Int, Boolean, DateTime, Json)
- Use
@db.Textfor large text fields - Use
Jsontype for flexible data structures - Consider enum types for fixed values
-
Timestamps and Metadata
model Entity { id String @id @default(cuid()) createdAt DateTime @default(now()) updatedAt DateTime @updatedAt createdBy String? }
Indexes and Performance
model Candidate {
id String @id @default(cuid())
email String @unique
name String
createdAt DateTime @default(now())
// Single field index
@@index([email])
// Composite index for common queries
@@index([createdAt, id])
// Full-text search index (PostgreSQL)
@@fulltext([name])
}
Query Optimization
Purpose
Write efficient database queries that minimize load and improve application performance.
Query Patterns
-
Use select() to Fetch Only Needed Fields
// Bad - fetches all fields const user = await prisma.user.findUnique({ where: { id: "user-1" }, }); // Good - fetch only needed fields const user = await prisma.user.findUnique({ where: { id: "user-1" }, select: { id: true, email: true, name: true, }, }); -
Batch Queries Efficiently
// Avoid N+1 queries const users = await prisma.user.findMany(); for (const user of users) { const interviews = await prisma.interview.findMany({ where: { userId: user.id }, }); // N+1 problem! } // Solution - use include or nested queries const users = await prisma.user.findMany({ include: { interviews: true, }, }); -
Use Relations with include() or select()
const quiz = await prisma.quiz.findUnique({ where: { id: "quiz-1" }, include: { quizQuestions: { include: { question: true, }, orderBy: { order: "asc" }, }, }, }); -
Pagination for Large Result Sets
const quizzes = await prisma.quiz.findMany({ skip: (page - 1) * pageSize, take: pageSize, orderBy: { createdAt: "desc" }, }); -
Aggregations
const stats = await prisma.interview.aggregate({ where: { candidateId: "candidate-1" }, _count: true, _avg: { score: true }, }); -
Raw Queries for Complex Operations
const results = await prisma.$queryRaw` SELECT u.*, COUNT(i.id) as interview_count FROM User u LEFT JOIN Interview i ON u.id = i.userId GROUP BY u.id `;
Performance Tips
- Always use indexes on frequently queried fields
- Use
select()instead of fetching entire records - Implement pagination for large datasets
- Use
distinct()to avoid duplicate results - Consider denormalization for frequently accessed aggregations
- Monitor slow queries in production
- Use Prisma Studio to analyze query patterns
Caching Strategies
Combine Prisma queries with cache components in server components, and use server actions for mutations:
// Data fetching (in server component or cached function)
"use cache";
import { cacheLife, cacheTag } from "next/cache";
export async function getCachedQuiz(id: string) {
cacheLife({ max: 3600 });
cacheTag("quizzes");
return await prisma.quiz.findUnique({
where: { id },
include: {
quizQuestions: {
include: { question: true },
orderBy: { order: "asc" },
},
},
});
}
// Mutations (in server action, NOT API route)
("use server");
import { updateTag } from "@/lib/utils/cache-utils";
export async function updateQuizAction(id: string, data: QuizInput) {
const user = await requireUser();
const quiz = await prisma.quiz.update({
where: { id },
data,
});
// Invalidate cache after mutation
updateTag("quizzes");
return { success: true, data: quiz };
}
Development Checklist
When working with Prisma:
- Schema follows naming conventions
- Relationships are properly defined
- Indexes are added for query performance
- Timestamps (createdAt, updatedAt) are included
- Migrations are reviewed before deployment
- Queries use select() or include() appropriately
- N+1 query problems are avoided
- Pagination is implemented for large datasets
- Mutations are in server actions, not API routes
- Cache invalidation (updateTag) is called after mutations in server actions