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drizzle-orm

drizzle-orm

github.com/mindrallyData & databases2881.1k installsUpdated 3w ago
Repository

About drizzle-orm

A development skill for Drizzle ORM, covering schema design, typed SQL queries, database connections, and migrations in TypeScript. It is intended for developers building database-backed applications and emphasizes schema-as-code, compile-time type safety, and efficient query practices.

Key features

  1. 01Schema and relation definitions
  2. 02Typed SQL query patterns
  3. 03PostgreSQL and SQLite connections
  4. 04Migration generation and execution
  5. 05Inferred TypeScript model types
  6. 06Indexes, pagination, and transactions

Use cases

  1. 01Defining a typed database schema
  2. 02Implementing relational queries
  3. 03Generating and applying migrations
  4. 04Improving query performance

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mindrally/skills --skill drizzle-orm

After installing, type/drizzle-ormin Claude Code to confirm it loaded.

Details

From the project README

Drizzle ORM Development Guidelines

You are an expert in Drizzle ORM, TypeScript, and SQL database design with a focus on type safety and performance.

Core Principles

  • Drizzle embraces SQL - if you know SQL, you know Drizzle
  • Schema-as-code serves as the single source of truth
  • Type safety is enforced at compile time, catching errors before runtime
  • Lightweight with minimal runtime overhead (~7.4kb min+gzip)
  • Serverless-ready: works with Node.js, Bun, Deno, Cloudflare Workers

Schema Design

Basic Table Definition
import { pgTable, serial, text, varchar, timestamp, boolean, integer } from "drizzle-orm/pg-core";

export const users = pgTable("users", {
  id: serial("id").primaryKey(),
  email: varchar("email", { length: 255 }).notNull().unique(),
  name: text("name"),
  isActive: boolean("is_active").default(true),
  createdAt: timestamp("created_at").defaultNow(),
  updatedAt: timestamp("updated_at").defaultNow(),
});

export const posts = pgTable("posts", {
  id: serial("id").primaryKey(),
  title: varchar("title", { length: 255 }).notNull(),
  content: text("content"),
  authorId: integer("author_id").references(() => users.id),
  publishedAt: timestamp("published_at"),
  createdAt: timestamp("created_at").defaultNow(),
});
Schema Organization

You can organize schemas in multiple ways:

// Option 1: Single schema.ts file (recommended for smaller projects)
// src/db/schema.ts

// Option 2: Split by domain (recommended for larger projects)
// src/db/schema/users.ts
// src/db/schema/posts.ts
// src/db/schema/index.ts (re-exports all)
Naming Conventions

Use the casing option for automatic camelCase to snake_case mapping:

import { drizzle } from "drizzle-orm/node-postgres";

const db = drizzle(pool, {
  casing: "snake_case", // Automatically maps camelCase to snake_case
});
Defining Relations
import { relations } from "drizzle-orm";

export const usersRelations = relations(users, ({ many }) => ({
  posts: many(posts),
}));

export const postsRelations = relations(posts, ({ one }) => ({
  author: one(users, {
    fields: [posts.authorId],
    references: [users.id],
  }),
}));
Adding Indexes
import { pgTable, serial, varchar, index, uniqueIndex } from "drizzle-orm/pg-core";

export const users = pgTable(
  "users",
  {
    id: serial("id").primaryKey(),
    email: varchar("email", { length: 255 }).notNull(),
    name: varchar("name", { length: 255 }),
  },
  (table) => [
    uniqueIndex("email_idx").on(table.email),
    index("name_idx").on(table.name),
  ]
);

Database Connection

PostgreSQL with node-postgres
import { drizzle } from "drizzle-orm/node-postgres";
import { Pool } from "pg";
import * as schema from "./schema";

const pool = new Pool({
  connectionString: process.env.DATABASE_URL,
});

export const db = drizzle(pool, { schema });
SQLite with better-sqlite3
import { drizzle } from "drizzle-orm/better-sqlite3";
import Database from "better-sqlite3";
import * as schema from "./schema";

const sqlite = new Database("sqlite.db");
export const db = drizzle(sqlite, { schema });
Turso/LibSQL
import { drizzle } from "drizzle-orm/libsql";
import { createClient } from "@libsql/client";
import * as schema from "./schema";

const client = createClient({
  url: process.env.TURSO_DATABASE_URL!,
  authToken: process.env.TURSO_AUTH_TOKEN,
});

export const db = drizzle(client, { schema });

Query Patterns

Select Queries
// Select all columns
const allUsers = await db.select().from(users);

// Select specific columns
const userEmails = await db.select({ email: users.email }).from(users);

// With conditions
import { eq, and, or, gt, like } from "drizzle-orm";

const activeUsers = await db
  .select()
  .from(users)
  .where(eq(users.isActive, true));

const filteredUsers = await db
  .select()
  .from(users)
  .where(
    and(
      eq(users.isActive, true),
      like(users.email, "%@example.com")
    )
  );
Relational Queries
// Query with relations (requires schema with relations defined)
const usersWithPosts = await db.query.users.findMany({
  with: {
    posts: true,
  },
});

// Nested relations
const postsWithAuthor = await db.query.posts.findMany({
  with: {
    author: {
      columns: {
        id: true,
        name: true,
      },
    },
  },
});
Insert Operations
// Single insert
const newUser = await db
  .insert(users)
  .values({
    email: "[email protected]",
    name: "John Doe",
  })
  .returning();

// Bulk insert
await db.insert(users).values([
  { email: "[email protected]", name: "User 1" },
  { email: "[email protected]", name: "User 2" },
]);

// Upsert (insert or update on conflict)
await db
  .insert(users)
  .values({ email: "[email protected]", name: "John" })
  .onConflictDoUpdate({
    target: users.email,
    set: { name: "John Updated" },
  });
Update Operations
await db
  .update(users)
  .set({ name: "Jane Doe", updatedAt: new Date() })
  .where(eq(users.id, 1));
Delete Operations
await db.delete(users).where(eq(users.id, 1));
Transactions
await db.transaction(async (tx) => {
  const [user] = await tx
    .insert(users)
    .values({ email: "[email protected]", name: "User" })
    .returning();

  await tx.insert(posts).values({
    title: "First Post",
    authorId: user.id,
  });
});

Migrations

Generate Migrations
# Generate migration based on schema changes
npx drizzle-kit generate

# Apply migrations to database
npx drizzle-kit migrate

# Push schema directly (development only)
npx drizzle-kit push
Migration Configuration
// drizzle.config.ts
import { defineConfig } from "drizzle-kit";

export default defineConfig({
  schema: "./src/db/schema.ts",
  out: "./drizzle",
  dialect: "postgresql",
  dbCredentials: {
    url: process.env.DATABASE_URL!,
  },
});

Type Safety Best Practices

Infer Types from Schema
import { InferSelectModel, InferInsertModel } from "drizzle-orm";

// Infer types from table definitions
export type User = InferSelectModel<typeof users>;
export type NewUser = InferInsertModel<typeof users>;

// Use in application code
function createUser(data: NewUser): Promise<User> {
  return db.insert(users).values(data).returning().then((r) => r[0]);
}
Strict TypeScript Configuration

Ensure strict mode is enabled in tsconfig.json:

{
  "compilerOptions": {
    "strict": true,
    "strictNullChecks": true
  }
}

Performance Best Practices

Use Indexes Appropriately

Always add indexes for columns used in WHERE clauses and JOINs:

export const orders = pgTable(
  "orders",
  {
    id: serial("id").primaryKey(),
    userId: integer("user_id").notNull(),
    status: varchar("status", { length: 50 }).notNull(),
    createdAt: timestamp("created_at").defaultNow(),
  },
  (table) => [
    index("user_id_idx").on(table.userId),
    index("status_idx").on(table.status),
    index("created_at_idx").on(table.createdAt),
  ]
);
Select Only Needed Columns
// Bad: Fetches all columns
const users = await db.select().from(users);

// Good: Fetches only needed columns
const userNames = await db
  .select({ id: users.id, name: users.name })
  .from(users);
Use Proper Pagination
const page = 1;
const pageSize = 20;

const paginatedUsers = await db
  .select()
  .from(users)
  .limit(pageSize)
  .offset((page - 1) * pageSize)
  .orderBy(users.createdAt);
Avoid N+1 Queries
// Bad: N+1 query pattern
const users = await db.select().from(users);
for (const user of users) {
  const posts = await db.select().from(posts).where(eq(posts.authorId, user.id));
}

// Good: Use relational queries or joins
const usersWithPosts = await db.query.users.findMany({
  with: { posts: true },
});

Common Mistakes to Avoid

  1. Not defining indexes - Always add indexes for frequently queried columns
  2. Fetching too much data - Select only the columns you need
  3. Missing foreign key constraints - Define proper relationships in schema
  4. Manual migration modifications - Let drizzle-kit manage migration history
  5. Not using transactions - Wrap related operations in transactions for data integrity

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