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prisma-patterns

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. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits.

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prisma-patterns is a Cursor agent skill that 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. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits.

지원 대상~Claude Code~Codex CLICursor
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Prisma Patterns

Production patterns and non-obvious traps for Prisma ORM in TypeScript backends.

Check your version before applying patterns. The Prisma API surface has evolved across major releases:

npx prisma --version

Notable API differences across versions:

  • relationJoins can load relations via JOIN rather than separate queries, but may cause row explosion on large 1:N relations or deep include — benchmark both approaches
  • omit field modifier and prisma.$extends Client Extensions API were added
  • Newer installs: the package may be named prisma instead of @prisma/client; PrismaClient may require a driver adapter (e.g. @prisma/adapter-pg); datasource.url may live in prisma.config.ts instead of schema.prisma
  • CLI commands (migrate dev, migrate deploy, generate) are unchanged across versions

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

StrategyUse WhenAvoid When
@default(cuid())Default choice — URL-safe, sortable, no collisionsSequential IDs needed for external systems
@default(uuid())Interoperability with non-Prisma systems requiredHigh-write tables (random UUIDs fragment B-tree indexes)
@default(autoincrement())Internal join tables, audit logsPublic-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 @@index on every foreign key and column used in WHERE or ORDER BY.
  • Declare deletedAt DateTime? upfront when soft delete is a foreseeable requirement — adding it later requires a migration on a live table.
  • updatedAt @updatedAt is set automatically by Prisma on update and upsert only (see Anti-Patterns for bulk update trap).

include vs select

includeselect
ReturnsAll scalar fields + specified relationsOnly specified fields
Use whenYou need most fields plus a relationHot paths, large tables, avoiding over-fetch
PerformanceMay over-fetch on wide tablesMinimal payload, faster on large datasets
Prisma 5 noteUses 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

SituationUse
Independent operations, no inter-dependencyArray form
Later step depends on earlier resultInteractive form
External calls (email, HTTP) involvedOutside 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

// Option A — adapter-based initialization (required by newer Prisma installs)
import { PrismaClient } from '@prisma/client'; // or the generated client path for your setup
import { PrismaPg } from '@prisma/adapter-pg';

function createPrismaClient() {
  const adapter = new PrismaPg({
    connectionString: process.env.DATABASE_URL!,
  });
  return new PrismaClient({
    adapter,
    log: process.env.NODE_ENV === 'development' ? ['query', 'error'] : ['error'],
  });
}

const globalForPrisma = globalThis as unknown as { prisma?: PrismaClient };

export const prisma = globalForPrisma.prisma ?? createPrismaClient();

if (process.env.NODE_ENV !== 'production') globalForPrisma.prisma = prisma;

// Option B — direct initialization (older installs, no adapter needed)
// import { PrismaClient } from '@prisma/client';
// export const prisma = globalForPrisma.prisma ?? new PrismaClient({ ... });

Use Option A if your Prisma install requires an adapter argument in the PrismaClient constructor. Use Option B if new PrismaClient() works without arguments. Let the compiler tell you which is correct.

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 } }); // restore

Error Handling

import { Prisma } from '@prisma/client'; // or the generated client path for your setup

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 controlled via DATABASE_URL

// Adapter-based setup (if your Prisma install requires an adapter):
import { PrismaClient } from '@prisma/client';
import { PrismaPg } from '@prisma/adapter-pg';

const prisma = new PrismaClient({
  adapter: new PrismaPg({ connectionString: process.env.DATABASE_URL }),
});

// Direct setup (if your Prisma install does not require an adapter):
// 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

RuleReason
migrate deploy in CI/CD, migrate dev only locallymigrate dev can reset the DB on drift
Map entities to response DTOsPrevents leaking internal fields
Catch PrismaClientKnownRequestError at service boundaryTranslate to domain errors
Prefer *OrThrow methods over manual null checksThrows P2025 automatically; use findFirstOrThrow when filtering non-unique fields
connection_limit=1 + external pooler in serverlessPrevents connection exhaustion
Always provide where on deleteManyPrevents accidental table wipe
Set updatedAt: new Date() manually in updateMany@updatedAt skips bulk writes

Related Skills

  • nestjs-patterns — NestJS service layer that integrates Prisma
  • postgres-patterns — PostgreSQL-level indexing and connection tuning
  • database-migrations — multi-step migration planning for production
  • backend-patterns — general API and service layer design

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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