prisma-patterns
Skill3 starsChanged 10 days agoMITView on GitHub
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion.
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- renepf/claude-skillsedited, first seen Oct 25, 2026
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- Ronnasayd/aippedited, first seen Oct 20, 2026
- gongyijie85/dsh-eccedited, first seen Oct 13, 2026
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- gongyijie85/dsh-ecc★ 880% same
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- SamuelNDCE/claude-super-skill-library★ 193% same
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
3 rules. 2 are common, 0 are distinctive, and 1 is very specific to this project.
2
Common
Most of the 6 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 13
Check the Prisma version before applying version-specific patterns:
- Very specific: line 58
Add @@index on every foreign key and column used in WHERE or ORDER BY.
- Common: line 85
Never return raw Prisma entities from API responses — map to response DTOs to control exposed fields:
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Prisma Patterns
Production patterns and non-obvious traps for Prisma ORM in TypeScript backends. Tested against Prisma 5.x and 6.x. Some behaviors differ from Prisma 4.
Check the Prisma version before applying version-specific patterns:
npx prisma --versionPrisma 5 introduced relationJoins, which can load relations via JOIN rather than separate queries depending on query strategy and configuration. The omit field modifier and prisma.$extends Client Extensions API were also added. Note: relationJoins can cause row explosion on large 1:N relations or deep nested include — benchmark both approaches when relations may return many rows per parent.
When to Activate
- Designing or modifying Prisma schema models and relations
- Writing queries, transactions, or pagination logic
- Using
updateMany,deleteMany, or any bulk operation - Running or planning database migrations
- Deploying to serverless environments (Vercel, Lambda, Cloudflare Workers)
- Implementing soft delete or multi-tenant row filtering
Core Concepts
ID Strategy
| Strategy | Use When | Avoid When |
@default(cuid()) | Default choice — URL-safe, sortable, no collisions | Sequential IDs needed for external systems |
@default(uuid()) | Interoperability with non-Prisma systems required | High-write tables (random UUIDs fragment B-tree indexes) |
@default(autoincrement()) | Internal join tables, audit logs | Public-facing IDs (exposes record count) |
Schema Defaults
model User {
id String @id @default(cuid())
email String @unique // @unique already creates an index — no @@index needed
name String
role Role @default(USER)
posts Post[]
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
deletedAt DateTime?
@@index([createdAt])
@@index([deletedAt, createdAt]) // composite for soft-delete + sort queries
}- Add
@@indexon every foreign key and column used inWHEREorORDER BY. - Declare
deletedAt DateTime?upfront when soft delete is a foreseeable requirement — adding it later requires a migration on a live table. updatedAt @updatedAtis set automatically by Prisma onupdateandupsertonly (see Anti-Patterns for bulk update trap).
include vs select
include | select | |
| Returns | All scalar fields + specified relations | Only specified fields |
| Use when | You need most fields plus a relation | Hot paths, large tables, avoiding over-fetch |
| Performance | May over-fetch on wide tables | Minimal payload, faster on large datasets |
| Prisma 5 note | Uses JOIN by default (relationJoins) | Same |
// include — all columns + relation
const user = await prisma.user.findUnique({
where: { id },
include: { posts: { select: { id: true, title: true } } },
});
// select — explicit allowlist
const user = await prisma.user.findUnique({
where: { id },
select: { id: true, email: true, name: true },
});Never return raw Prisma entities from API responses — map to response DTOs to control exposed fields:
// BAD: leaks passwordHash, deletedAt, internal fields
return await prisma.user.findUniqueOrThrow({ where: { id } });
// GOOD: explicit DTO mapping
const user = await prisma.user.findUniqueOrThrow({ where: { id } });
return { id: user.id, name: user.name, email: user.email };Transaction Form Selection
| Situation | Use |
| Independent operations, no inter-dependency | Array form |
| Later step depends on earlier result | Interactive form |
| External calls (email, HTTP) involved | Outside transaction entirely |
// Array form — batched in one round trip
const [user, post] = await prisma.$transaction([
prisma.user.update({ where: { id }, data: { name } }),
prisma.post.create({ data: { title, authorId: id } }),
]);
// Interactive form — use tx client only, never the outer prisma client
const post = await prisma.$transaction(async (tx) => {
const user = await tx.user.findUniqueOrThrow({ where: { id } });
if (user.role !== 'ADMIN') throw new Error('Forbidden');
return tx.post.create({ data: { title, authorId: user.id } });
});PrismaClient Singleton
Each PrismaClient instance opens its own connection pool. Instantiate once.
// lib/prisma.ts
import { PrismaClient } from '@prisma/client';
const globalForPrisma = globalThis as unknown as { prisma?: PrismaClient };
export const prisma =
globalForPrisma.prisma ??
new PrismaClient({
log: process.env.NODE_ENV === 'development' ? ['query', 'error'] : ['error'],
});
if (process.env.NODE_ENV !== 'production') globalForPrisma.prisma = prisma;The globalThis pattern prevents duplicate instances during hot reload (Next.js, nodemon, ts-node-dev).
N+1 Problem
Loading relations inside a loop issues one query per row.
// BAD: N+1 — one extra query per user
const users = await prisma.user.findMany();
for (const user of users) {
const posts = await prisma.post.findMany({ where: { authorId: user.id } });
}
// GOOD: single query
const users = await prisma.user.findMany({ include: { posts: true } });With Prisma 5+ relationJoins, the include form uses a single JOIN. On large 1:N sets this may increase result set size — benchmark both approaches if the relation can return many rows per parent.
Code Examples
Cursor Pagination (preferred for feeds and large datasets)
async function getPosts(cursor?: string, limit = 20) {
const items = await prisma.post.findMany({
where: { published: true },
orderBy: [
{ createdAt: 'desc' },
{ id: 'desc' }, // secondary sort prevents unstable pagination on duplicate timestamps
],
take: limit + 1,
...(cursor && { cursor: { id: cursor }, skip: 1 }),
});
const hasNextPage = items.length > limit;
if (hasNextPage) items.pop();
return { items, nextCursor: hasNextPage ? items[items.length - 1].id : null };
}Fetch limit + 1 and pop — canonical way to detect hasNextPage without an extra count query. Always include a unique field (e.g. id) as a secondary orderBy to prevent unstable pagination when multiple rows share the same timestamp. Use offset pagination only when users need to jump to arbitrary pages (admin tables).
Soft Delete
// Always filter explicitly — do not rely on middleware (hides behavior, hard to debug)
const activeUsers = await prisma.user.findMany({ where: { deletedAt: null } });
await prisma.user.update({ where: { id }, data: { deletedAt: new Date() } });
await prisma.user.update({ where: { id }, data: { deletedAt: null } }); // restoreError Handling
import { Prisma } from '@prisma/client';
try {
await prisma.user.create({ data: { email } });
} catch (e) {
if (e instanceof Prisma.PrismaClientKnownRequestError) {
if (e.code === 'P2002') throw new ConflictError('Email already exists');
if (e.code === 'P2025') throw new NotFoundError('Record not found');
if (e.code === 'P2003') throw new BadRequestError('Referenced record does not exist');
}
throw e;
}Common codes: P2002 unique violation · P2025 not found · P2003 foreign key violation.
Catch at the service boundary and translate to domain errors. Never expose raw Prisma messages to API consumers.
Connection Pool — Serverless
Embed connection params directly in DATABASE_URL — string concatenation breaks if the URL already has query parameters (e.g. ?schema=public):
# .env — preferred: embed params in the URL
DATABASE_URL="postgresql://user:pass@host/db?connection_limit=1&pool_timeout=20"
# With an external pooler (PgBouncer, Supabase pooler)
DATABASE_URL="postgresql://user:pass@host/db?pgbouncer=true&connection_limit=1"// Vercel, AWS Lambda, and similar serverless runtimes: cap pool to 1 per instance
// connection_limit and pool_timeout are controlled via DATABASE_URL
const prisma = new PrismaClient();Anti-Patterns
updateMany returns a count, not records
// BAD: result is { count: 2 } — users[0] is undefined
const users = await prisma.user.updateMany({ where: { role: 'GUEST' }, data: { role: 'USER' } });
// GOOD: capture IDs first, then update, then fetch only the affected rows
const targets = await prisma.user.findMany({
where: { role: 'GUEST' },
select: { id: true },
});
const ids = targets.map((u) => u.id);
await prisma.user.updateMany({ where: { id: { in: ids } }, data: { role: 'USER' } });
const updated = await prisma.user.findMany({ where: { id: { in: ids } } });Same applies to deleteMany — returns { count: n }, never the deleted rows.
$transaction interactive form times out after 5 seconds
// BAD: external call inside transaction exceeds 5s default → "Transaction already closed"
await prisma.$transaction(async (tx) => {
const user = await tx.user.findUniqueOrThrow({ where: { id } });
await sendWelcomeEmail(user.email); // external call
await tx.user.update({ where: { id }, data: { emailSent: true } });
});
// GOOD: external calls outside the transaction
const user = await prisma.user.findUniqueOrThrow({ where: { id } });
await sendWelcomeEmail(user.email);
await prisma.user.update({ where: { id }, data: { emailSent: true } });
// Only raise timeout when bulk processing genuinely needs it
await prisma.$transaction(async (tx) => { ... }, { timeout: 30_000 });migrate dev can reset the database
migrate dev detects schema drift and may prompt to reset the DB, dropping all data.
# NEVER on shared dev, staging, or production
npx prisma migrate dev --name add_column
# Safe everywhere except local solo dev
npx prisma migrate deploy
# Check drift without applying
npx prisma migrate diff \
--from-migrations ./prisma/migrations \
--to-schema-datamodel ./prisma/schema.prisma \
--shadow-database-url "$SHADOW_DATABASE_URL"Manually editing a migration file breaks future deploys
Prisma checksums every migration file. Editing after apply causes P3006 checksum mismatch on every environment where the original already ran. Create a new migration instead.
Breaking schema changes require multi-step migration
Adding NOT NULL to an existing column or renaming a column in one migration will lock the table or drop data. Use expand-and-contract:
# Step 1: create migration locally, then deploy
npx prisma migrate dev --name add_new_column # local only
npx prisma migrate deploy # staging / production// Step 2: backfill data (run in a script or migration job, not in the shell)
await prisma.user.updateMany({ data: { newColumn: derivedValue } });# Step 3: create the NOT NULL constraint migration locally, then deploy
npx prisma migrate dev --name make_new_column_required # local only
npx prisma migrate deploy # staging / production@updatedAt does not fire on updateMany
@updatedAt is set automatically only on update and upsert. Bulk writes leave it stale.
// BAD: updatedAt stays at its old value
await prisma.post.updateMany({ where: { authorId }, data: { published: true } });
// GOOD
await prisma.post.updateMany({
where: { authorId },
data: { published: true, updatedAt: new Date() },
});Soft delete + findUniqueOrThrow leaks deleted records
findUniqueOrThrow throws P2025 only when the row does not exist in the DB. Soft-deleted rows still exist and are returned without error.
findUniqueOrThrow requires a unique constraint field in where — adding deletedAt: null alongside id breaks the type because { id, deletedAt } is not a compound unique constraint. Use findFirstOrThrow instead.
// BAD: returns soft-deleted user
const user = await prisma.user.findUniqueOrThrow({ where: { id } });
// BAD: Prisma type error — { id, deletedAt } is not a unique constraint
const user = await prisma.user.findUniqueOrThrow({ where: { id, deletedAt: null } });
// GOOD: findFirstOrThrow supports arbitrary where conditions
const user = await prisma.user.findFirstOrThrow({ where: { id, deletedAt: null } });deleteMany without where deletes every row
// BAD: silently wipes the table
await prisma.post.deleteMany();
// GOOD
await prisma.post.deleteMany({ where: { authorId: userId } });Best Practices
| Rule | Reason |
migrate deploy in CI/CD, migrate dev only locally | migrate dev can reset the DB on drift |
| Map entities to response DTOs | Prevents leaking internal fields |
Catch PrismaClientKnownRequestError at service boundary | Translate to domain errors |
Prefer *OrThrow methods over manual null checks | Throws P2025 automatically; use findFirstOrThrow when filtering non-unique fields |
connection_limit=1 + external pooler in serverless | Prevents connection exhaustion |
Always provide where on deleteMany | Prevents accidental table wipe |
Set updatedAt: new Date() manually in updateMany | @updatedAt skips bulk writes |
Related Skills
nestjs-patterns— NestJS service layer that integrates Prismapostgres-patterns— PostgreSQL-level indexing and connection tuningdatabase-migrations— multi-step migration planning for productionbackend-patterns— general API and service layer design
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