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Prisma ORM Cheat Sheet

Prisma ORM Cheat Sheet

Covers Prisma schema syntax, migrations, the type-safe query client, and relation queries for building Node.js/TypeScript data layers.

2 PagesIntermediateMar 10, 2026

Prisma Schema File

Datasource, generator, enum, and relation definitions.

prisma
datasource db {  provider = "postgresql"  url      = env("DATABASE_URL")}generator client {  provider = "prisma-client-js"}enum Role {  USER  ADMIN}model User {  id    Int    @id @default(autoincrement())  email String @unique  role  Role   @default(USER)  posts Post[]}model Post {  id        Int      @id @default(autoincrement())  title     String  published Boolean  @default(false)  author    User     @relation(fields: [authorId], references: [id])  authorId  Int  @@index([authorId])}

Prisma CLI Workflow

Common commands for schema, migrations, and tooling.

bash
# Create and apply a migration, generating SQL from schema changesnpx prisma migrate dev --name add_user_role# Regenerate the type-safe client after any schema changenpx prisma generate# Push schema to DB without creating a migration (prototyping only)npx prisma db push# Open a GUI to browse/edit datanpx prisma studio# Apply pending migrations in production (no shadow DB / no prompts)npx prisma migrate deploy

Prisma Client Queries

Create, read with relations, and transactions.

typescript
import { PrismaClient } from '@prisma/client';const prisma = new PrismaClient();// Create with a nested relation writeconst user = await prisma.user.create({  data: {    email: '[email protected]',    posts: { create: [{ title: 'Hello World' }] },  },});// Query with relation include and filteringconst published = await prisma.post.findMany({  where: { published: true },  include: { author: true },  orderBy: { id: 'desc' },  take: 10,});// Interactive transaction across multiple writesawait prisma.$transaction(async (tx) => {  await tx.user.update({ where: { id: 1 }, data: { role: 'ADMIN' } });  await tx.post.updateMany({ where: { authorId: 1 }, data: { published: true } });});

Key Concepts

Core pieces of the Prisma toolchain.

  • schema.prisma- Single source of truth defining the datasource, generator, and data models; migrations and the client are generated from it
  • Migration history- Stored as timestamped SQL files under prisma/migrations, applied in order and tracked in a _prisma_migrations table
  • Prisma Client- Auto-generated, fully typed query builder based on your schema; regenerate with `prisma generate` after every schema edit
  • Relation queries- `include` eagerly loads related records; `select` picks specific fields, both prevent over-fetching or under-fetching
  • $transaction- Batches multiple queries atomically; sequential array form or the interactive callback form for dependent operations
  • Shadow database- A temporary database Prisma uses in dev to detect drift and generate migrations safely without touching your real data

Client Extensions (Middleware Replacement)

Intercept queries for soft deletes, auditing, or logging.

typescript
// $extends replaces the deprecated $use middleware API (Prisma 5+)const prisma = new PrismaClient().$extends({  query: {    post: {      async delete({ args, query }) {        // Turn hard deletes into soft deletes        return prisma.post.update({          ...args,          data: { deletedAt: new Date() },        });      },    },  },  result: {    user: {      fullName: {        needs: { firstName: true, lastName: true },        compute(user) {          return `${user.firstName} ${user.lastName}`;        },      },    },  },});

Raw Queries & Aggregations

Escape hatches for complex SQL and native aggregate helpers.

typescript
// Parameterized raw query (safe against SQL injection)const rows = await prisma.$queryRaw`  SELECT date_trunc('day', "createdAt") AS day, COUNT(*) AS total  FROM "Post"  WHERE "authorId" = ${authorId}  GROUP BY day  ORDER BY day DESC`;// Native aggregation helpers avoid raw SQL for common casesconst stats = await prisma.post.aggregate({  where: { published: true },  _count: { _all: true },  _avg: { views: true },  _max: { createdAt: true },});const byAuthor = await prisma.post.groupBy({  by: ['authorId'],  _count: { _all: true },  having: { _count: { _all: { gt: 5 } } },});

Composite Keys, Views & Multi-Schema

Advanced schema.prisma features beyond basic models.

prisma
model OrderItem {  orderId   Int  productId Int  quantity  Int  @@id([orderId, productId])}// Prisma can read from database VIEWs (introspection-only, PostgreSQL)view ActiveUsers {  id    Int    @unique  email String}// Multi-schema support (previewFeature: multiSchema)model Tenant {  id   Int    @id @default(autoincrement())  name String  @@schema("tenancy")}// Referential actions beyond default cascademodel Comment {  id     Int  @id @default(autoincrement())  postId Int  post   Post @relation(fields: [postId], references: [id], onDelete: Cascade, onUpdate: Restrict)}

Advanced Toolchain Concepts

Beyond the basic CRUD workflow, for production Prisma usage.

  • Prisma Accelerate / Data Proxy- Connection pooling + edge caching layer for serverless/edge runtimes where direct TCP connections to Postgres aren't viable
  • Interactive vs sequential transactions- `$transaction([...])` array form batches independent queries; the callback form supports read-then-write logic but holds a DB connection open for its duration — keep it short
  • Preview features flag- Features like `multiSchema`, `views`, and `relationJoins` must be enabled under `generator client { previewFeatures = [...] }` before use
  • Migration diffing- `prisma migrate diff` compares two schema states (or a schema vs a live DB) and emits SQL without applying it, useful for CI drift checks
  • Seed scripts- `prisma db seed` runs the script configured under `prisma.seed` in package.json, commonly used after `migrate reset` in CI/test setup
  • Referential integrity mode- `relationMode = "prisma"` emulates foreign keys in application code instead of the DB, needed for databases like PlanetScale that don't support FKs
Pro Tip

Never run `prisma db push` against production — it bypasses the migration history entirely and can silently drop columns/data on divergence; reserve it for local prototyping and always use `migrate dev` / `migrate deploy` for anything that needs a reviewable, reversible migration trail.

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Yes, the SkillVeris blog has over 500 articles covering AI and machine learning, programming, web development, DevOps, cloud, security, databases and career guidance. Articles are practical and answer-first, and many use the Learn Through Hobbies approach, teaching technical concepts through cricket, music, gaming or cooking analogies. Everything is free to read.
What is the SkillVeris tech glossary and how big is it?
The SkillVeris glossary is a free reference of roughly 2,000-plus technology terms, each with a clear plain-language definition. It spans AI, programming, web, DevOps, cloud, security and database vocabulary, so whenever a lesson, article or job description uses jargon you do not recognise, the glossary gives you a fast, reliable answer.
Are the developer cheat sheets on SkillVeris free to download?
The cheat sheets are completely free to use, like everything else on SkillVeris. Each sheet condenses a language or tool into its essential syntax, commands and patterns for quick reference while coding. They are designed for rapid lookup during real work, complementing the deeper explanations found in study notes and courses.
Which programming references and cheat sheets are available?
Cheat sheets cover the platform's main domains, including programming languages, AI and ML tooling, web development, DevOps, cloud, security and databases, matching the topics of the 37 live courses. Each sheet lists related reading links and hashtags, so you can jump from a quick reference into fuller study notes or blog articles.
How do I find the meaning of a technical term quickly?
Search the SkillVeris glossary, which holds around 2,000-plus terms with concise, plain-language definitions. Each entry gets to the point in its first sentence, then links to related reading like blog posts or study notes for deeper context. It is faster and more consistent than sifting through scattered search results.
Is the SkillVeris blog good for beginners learning to code?
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Can cheat sheets replace full courses for learning a language?
No, cheat sheets are references, not teaching tools; they assume you already understand the concepts and just need syntax or commands fast. To actually learn a language, take a structured SkillVeris course with its 24–40 lessons and assessments, then keep the cheat sheet beside you while practising in Code Lab.
How often are new blog articles published on SkillVeris?
The blog grows regularly and already exceeds 500 articles, with new posts added as courses launch and technologies evolve. Topics track the platform's catalogue across AI, programming, web development, DevOps, cloud and security, so checking the Blog section periodically surfaces fresh tutorials, explainers and career-focused pieces, all free to read.
Does the glossary cover AI and machine learning terms?
Yes, AI and machine learning vocabulary is a major part of the roughly 2,000-plus term glossary, covering everything from foundational terms to modern concepts around LLMs, RAG and MLOps. Definitions are plain-language and answer-first, which helps when dense AI papers or course lessons throw unfamiliar jargon at you.
Are there cheat sheets for interview preparation?
Cheat sheets work well as interview-day refreshers because they compress syntax, commands and key concepts into scannable references. For dedicated preparation, combine them with the SkillVeris interview questions feature, which includes readiness scoring, plus study notes for depth. Reviewing a relevant cheat sheet just before an interview steadies recall under pressure.
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How is the SkillVeris glossary different from Wikipedia?
The glossary is purpose-built for learners: definitions are short, plain-language and answer-first, sized for a quick lookup mid-lesson rather than a deep encyclopedic read. Entries also cross-link to related SkillVeris study notes, blog posts and courses, so a definition becomes a doorway into structured learning instead of a dead end.
Do blog articles use the Learn Through Hobbies method?
Many blog articles teach technical topics through hobby analogies, a hallmark of the SkillVeris blog, so you will find articles explaining programming through cricket, machine learning through music, or system design through cooking. The analogy is the teaching device; the article still delivers the real technical concept underneath.
Where can I find quick programming references while coding?
Open the SkillVeris cheat sheets, which are built exactly for that moment: compact, scannable references for syntax, commands and common patterns across languages and tools. Keep the relevant sheet in a browser tab while you work in Code Lab or your own editor, and dip into the glossary for terminology.
Is there a glossary entry for terms I meet in job descriptions?
Very likely yes, with roughly 2,000-plus terms across AI, programming, web, DevOps, cloud, security and databases, the glossary covers most jargon that appears in tech job descriptions. Decoding a listing this way helps you judge role fit honestly and prepares you to discuss those terms in interviews.
Are the blog articles written for the Indian tech audience?
The blog serves Indian learners plus a worldwide audience. Content stays globally relevant while acknowledging realities that matter in India, such as free access being essential for students and freshers, and career guidance that connects naturally to the SkillVeris jobs portal, which aggregates roles across India, UK, USA, Germany and Remote.
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SkillVeris content grows in response to what learners need, so feedback is welcome through the platform's support channels. If a term is missing from the glossary or a topic deserves an article, telling the team helps prioritise it. Meanwhile, the AI Mentor can answer the question immediately, 24/7, at any depth.
Do cheat sheets and glossary entries link to deeper learning?
Yes, every cheat sheet and glossary entry carries related reading links into study notes, blog articles and courses, plus concept hashtags for discovering similar content. This cross-linking means a thirty-second lookup can smoothly become a structured learning session whenever you decide you want more than a quick answer.
What makes SkillVeris programming references trustworthy?
The references are written to strict internal quality standards, kept consistent with the platform's 37 live courses, and never padded with invented statistics or hype. Definitions and cheat sheets are reviewed against the same content contracts that govern courses, and the answer-first style makes any inaccuracy easy to spot and correct.
How do the blog, glossary and cheat sheets fit into my learning routine?
Use them as satellites around your main course: read blog articles for context and motivation, hit the glossary the instant jargon appears, and keep cheat sheets open while coding. Together with study notes, Code Lab and the 24/7 AI Mentor, they turn passive reading into a complete, free learning system.

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