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Integrates useful changes from #1882, #1884, #1889, #1893, #1898, #1899, and #1903: - fix rule install docs to preserve language directories - correct Ruby security command examples - harden dev-server hook command-substitution parsing - add Prisma patterns skill and catalog/package surfaces - allow first-time protected config creation while blocking existing configs - read cost metrics from Stop hook transcripts - emit suggest-compact additionalContext on stdout Co-authored-by: Jamkris <dltmdgus1412@gmail.com> Co-authored-by: Levi-Evan <levishantz@gmail.com> Co-authored-by: gaurav0107 <gauravdubey0107@gmail.com> Co-authored-by: richm-spp <richard.millar@salarypackagingplus.com.au> Co-authored-by: zomia <zomians@outlook.jp> Co-authored-by: donghyeun02 <donghyeun02@gmail.com>
372 lines
14 KiB
Markdown
372 lines
14 KiB
Markdown
---
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name: prisma-patterns
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description: Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion.
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origin: ECC
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---
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# Prisma Patterns
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Production patterns and non-obvious traps for Prisma ORM in TypeScript backends.
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Tested against Prisma 5.x and 6.x. Some behaviors differ from Prisma 4.
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Check the Prisma version before applying version-specific patterns:
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```bash
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npx prisma --version
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```
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Prisma 5 introduced `relationJoins`, which can load relations via JOIN rather than separate queries depending on query strategy and configuration. The `omit` field modifier and `prisma.$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.
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## When to Activate
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- Designing or modifying Prisma schema models and relations
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- Writing queries, transactions, or pagination logic
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- Using `updateMany`, `deleteMany`, or any bulk operation
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- Running or planning database migrations
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- Deploying to serverless environments (Vercel, Lambda, Cloudflare Workers)
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- Implementing soft delete or multi-tenant row filtering
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## Core Concepts
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### ID Strategy
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| Strategy | Use When | Avoid When |
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|---|---|---|
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| `@default(cuid())` | Default choice — URL-safe, sortable, no collisions | Sequential IDs needed for external systems |
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| `@default(uuid())` | Interoperability with non-Prisma systems required | High-write tables (random UUIDs fragment B-tree indexes) |
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| `@default(autoincrement())` | Internal join tables, audit logs | Public-facing IDs (exposes record count) |
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### Schema Defaults
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```prisma
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model User {
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id String @id @default(cuid())
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email String @unique // @unique already creates an index — no @@index needed
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name String
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role Role @default(USER)
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posts Post[]
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createdAt DateTime @default(now())
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updatedAt DateTime @updatedAt
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deletedAt DateTime?
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@@index([createdAt])
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@@index([deletedAt, createdAt]) // composite for soft-delete + sort queries
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}
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```
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- Add `@@index` on every foreign key and column used in `WHERE` or `ORDER BY`.
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- Declare `deletedAt DateTime?` upfront when soft delete is a foreseeable requirement — adding it later requires a migration on a live table.
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- `updatedAt @updatedAt` is set automatically by Prisma on `update` and `upsert` only (see Anti-Patterns for bulk update trap).
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### `include` vs `select`
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| | `include` | `select` |
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|---|---|---|
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| Returns | All scalar fields + specified relations | Only specified fields |
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| Use when | You need most fields plus a relation | Hot paths, large tables, avoiding over-fetch |
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| Performance | May over-fetch on wide tables | Minimal payload, faster on large datasets |
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| Prisma 5 note | Uses JOIN by default (`relationJoins`) | Same |
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```ts
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// include — all columns + relation
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const user = await prisma.user.findUnique({
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where: { id },
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include: { posts: { select: { id: true, title: true } } },
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});
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// select — explicit allowlist
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const user = await prisma.user.findUnique({
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where: { id },
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select: { id: true, email: true, name: true },
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});
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```
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Never return raw Prisma entities from API responses — map to response DTOs to control exposed fields:
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```ts
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// BAD: leaks passwordHash, deletedAt, internal fields
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return await prisma.user.findUniqueOrThrow({ where: { id } });
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// GOOD: explicit DTO mapping
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const user = await prisma.user.findUniqueOrThrow({ where: { id } });
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return { id: user.id, name: user.name, email: user.email };
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```
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### Transaction Form Selection
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| Situation | Use |
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|---|---|
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| Independent operations, no inter-dependency | Array form |
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| Later step depends on earlier result | Interactive form |
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| External calls (email, HTTP) involved | Outside transaction entirely |
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```ts
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// Array form — batched in one round trip
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const [user, post] = await prisma.$transaction([
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prisma.user.update({ where: { id }, data: { name } }),
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prisma.post.create({ data: { title, authorId: id } }),
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]);
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// Interactive form — use tx client only, never the outer prisma client
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const post = await prisma.$transaction(async (tx) => {
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const user = await tx.user.findUniqueOrThrow({ where: { id } });
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if (user.role !== 'ADMIN') throw new Error('Forbidden');
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return tx.post.create({ data: { title, authorId: user.id } });
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});
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```
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### PrismaClient Singleton
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Each `PrismaClient` instance opens its own connection pool. Instantiate once.
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```ts
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// lib/prisma.ts
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import { PrismaClient } from '@prisma/client';
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const globalForPrisma = globalThis as unknown as { prisma?: PrismaClient };
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export const prisma =
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globalForPrisma.prisma ??
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new PrismaClient({
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log: process.env.NODE_ENV === 'development' ? ['query', 'error'] : ['error'],
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});
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if (process.env.NODE_ENV !== 'production') globalForPrisma.prisma = prisma;
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```
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The `globalThis` pattern prevents duplicate instances during hot reload (Next.js, nodemon, ts-node-dev).
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### N+1 Problem
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Loading relations inside a loop issues one query per row.
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```ts
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// BAD: N+1 — one extra query per user
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const users = await prisma.user.findMany();
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for (const user of users) {
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const posts = await prisma.post.findMany({ where: { authorId: user.id } });
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}
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// GOOD: single query
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const users = await prisma.user.findMany({ include: { posts: true } });
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```
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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.
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## Code Examples
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### Cursor Pagination (preferred for feeds and large datasets)
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```ts
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async function getPosts(cursor?: string, limit = 20) {
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const items = await prisma.post.findMany({
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where: { published: true },
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orderBy: [
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{ createdAt: 'desc' },
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{ id: 'desc' }, // secondary sort prevents unstable pagination on duplicate timestamps
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],
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take: limit + 1,
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...(cursor && { cursor: { id: cursor }, skip: 1 }),
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});
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const hasNextPage = items.length > limit;
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if (hasNextPage) items.pop();
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return { items, nextCursor: hasNextPage ? items[items.length - 1].id : null };
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}
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```
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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).
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### Soft Delete
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```ts
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// Always filter explicitly — do not rely on middleware (hides behavior, hard to debug)
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const activeUsers = await prisma.user.findMany({ where: { deletedAt: null } });
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await prisma.user.update({ where: { id }, data: { deletedAt: new Date() } });
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await prisma.user.update({ where: { id }, data: { deletedAt: null } }); // restore
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```
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### Error Handling
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```ts
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import { Prisma } from '@prisma/client';
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try {
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await prisma.user.create({ data: { email } });
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} catch (e) {
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if (e instanceof Prisma.PrismaClientKnownRequestError) {
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if (e.code === 'P2002') throw new ConflictError('Email already exists');
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if (e.code === 'P2025') throw new NotFoundError('Record not found');
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if (e.code === 'P2003') throw new BadRequestError('Referenced record does not exist');
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}
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throw e;
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}
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```
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Common codes: `P2002` unique violation · `P2025` not found · `P2003` foreign key violation.
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Catch at the service boundary and translate to domain errors. Never expose raw Prisma messages to API consumers.
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### Connection Pool — Serverless
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Embed connection params directly in `DATABASE_URL` — string concatenation breaks if the URL already has query parameters (e.g. `?schema=public`):
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```bash
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# .env — preferred: embed params in the URL
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DATABASE_URL="postgresql://user:pass@host/db?connection_limit=1&pool_timeout=20"
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# With an external pooler (PgBouncer, Supabase pooler)
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DATABASE_URL="postgresql://user:pass@host/db?pgbouncer=true&connection_limit=1"
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```
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```ts
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// Vercel, AWS Lambda, and similar serverless runtimes: cap pool to 1 per instance
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// connection_limit and pool_timeout are controlled via DATABASE_URL
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const prisma = new PrismaClient();
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```
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## Anti-Patterns
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### `updateMany` returns a count, not records
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```ts
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// BAD: result is { count: 2 } — users[0] is undefined
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const users = await prisma.user.updateMany({ where: { role: 'GUEST' }, data: { role: 'USER' } });
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// GOOD: capture IDs first, then update, then fetch only the affected rows
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const targets = await prisma.user.findMany({
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where: { role: 'GUEST' },
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select: { id: true },
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});
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const ids = targets.map((u) => u.id);
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await prisma.user.updateMany({ where: { id: { in: ids } }, data: { role: 'USER' } });
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const updated = await prisma.user.findMany({ where: { id: { in: ids } } });
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```
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Same applies to `deleteMany` — returns `{ count: n }`, never the deleted rows.
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### `$transaction` interactive form times out after 5 seconds
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```ts
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// BAD: external call inside transaction exceeds 5s default → "Transaction already closed"
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await prisma.$transaction(async (tx) => {
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const user = await tx.user.findUniqueOrThrow({ where: { id } });
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await sendWelcomeEmail(user.email); // external call
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await tx.user.update({ where: { id }, data: { emailSent: true } });
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});
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// GOOD: external calls outside the transaction
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const user = await prisma.user.findUniqueOrThrow({ where: { id } });
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await sendWelcomeEmail(user.email);
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await prisma.user.update({ where: { id }, data: { emailSent: true } });
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// Only raise timeout when bulk processing genuinely needs it
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await prisma.$transaction(async (tx) => { ... }, { timeout: 30_000 });
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```
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### `migrate dev` can reset the database
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`migrate dev` detects schema drift and may prompt to reset the DB, dropping all data.
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```bash
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# NEVER on shared dev, staging, or production
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npx prisma migrate dev --name add_column
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# Safe everywhere except local solo dev
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npx prisma migrate deploy
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# Check drift without applying
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npx prisma migrate diff \
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--from-migrations ./prisma/migrations \
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--to-schema-datamodel ./prisma/schema.prisma \
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--shadow-database-url "$SHADOW_DATABASE_URL"
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```
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### Manually editing a migration file breaks future deploys
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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.
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### Breaking schema changes require multi-step migration
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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:
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```bash
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# Step 1: create migration locally, then deploy
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npx prisma migrate dev --name add_new_column # local only
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npx prisma migrate deploy # staging / production
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```
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```ts
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// Step 2: backfill data (run in a script or migration job, not in the shell)
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await prisma.user.updateMany({ data: { newColumn: derivedValue } });
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```
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```bash
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# Step 3: create the NOT NULL constraint migration locally, then deploy
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npx prisma migrate dev --name make_new_column_required # local only
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npx prisma migrate deploy # staging / production
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```
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### `@updatedAt` does not fire on `updateMany`
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`@updatedAt` is set automatically only on `update` and `upsert`. Bulk writes leave it stale.
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```ts
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// BAD: updatedAt stays at its old value
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await prisma.post.updateMany({ where: { authorId }, data: { published: true } });
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// GOOD
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await prisma.post.updateMany({
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where: { authorId },
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data: { published: true, updatedAt: new Date() },
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});
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```
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### Soft delete + `findUniqueOrThrow` leaks deleted records
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`findUniqueOrThrow` throws `P2025` only when the row does not exist in the DB. Soft-deleted rows still exist and are returned without error.
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`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.
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```ts
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// BAD: returns soft-deleted user
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const user = await prisma.user.findUniqueOrThrow({ where: { id } });
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// BAD: Prisma type error — { id, deletedAt } is not a unique constraint
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const user = await prisma.user.findUniqueOrThrow({ where: { id, deletedAt: null } });
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// GOOD: findFirstOrThrow supports arbitrary where conditions
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const user = await prisma.user.findFirstOrThrow({ where: { id, deletedAt: null } });
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```
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### `deleteMany` without `where` deletes every row
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```ts
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// BAD: silently wipes the table
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await prisma.post.deleteMany();
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// GOOD
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await prisma.post.deleteMany({ where: { authorId: userId } });
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```
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## Best Practices
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| Rule | Reason |
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| `migrate deploy` in CI/CD, `migrate dev` only locally | `migrate dev` can reset the DB on drift |
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| Map entities to response DTOs | Prevents leaking internal fields |
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| Catch `PrismaClientKnownRequestError` at service boundary | Translate to domain errors |
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| Prefer `*OrThrow` methods over manual null checks | Throws P2025 automatically; use `findFirstOrThrow` when filtering non-unique fields |
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| `connection_limit=1` + external pooler in serverless | Prevents connection exhaustion |
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| Always provide `where` on `deleteMany` | Prevents accidental table wipe |
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| Set `updatedAt: new Date()` manually in `updateMany` | `@updatedAt` skips bulk writes |
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## Related Skills
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- `nestjs-patterns` — NestJS service layer that integrates Prisma
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- `postgres-patterns` — PostgreSQL-level indexing and connection tuning
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- `database-migrations` — multi-step migration planning for production
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- `backend-patterns` — general API and service layer design
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