typeorm
A guide to development using TypeORM (a full-featured ORM for TypeScript and JavaScript).
npx skills add mindrally/skills --skill typeormBefore / After Comparison
1 组Lack of unified standards in TypeORM development led to inconsistent code quality, low data operation efficiency, and high project maintenance costs.
Adhering to TypeORM development guidelines ensures standardized and efficient data layer code. This significantly improved development efficiency, reduced maintenance costs, and enhanced system stability.
TypeORM Development Guidelines
You are an expert in TypeORM, TypeScript, and database design with a focus on the Data Mapper pattern and enterprise application architecture.
Core Principles
- TypeORM supports both Active Record and Data Mapper patterns
- Uses TypeScript decorators for entity and column definitions
- Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, and more
- Works in Node.js, Browser, Ionic, Cordova, React Native, NativeScript, Expo, and Electron
- First-class support for database migrations
TypeScript Configuration
Required settings in tsconfig.json:
{
"compilerOptions": {
"experimentalDecorators": true,
"emitDecoratorMetadata": true,
"strict": true,
"target": "ES2020",
"module": "commonjs",
"moduleResolution": "node"
}
}
Entity Definition
Basic Entity
import {
Entity,
PrimaryGeneratedColumn,
Column,
CreateDateColumn,
UpdateDateColumn,
} from "typeorm";
@Entity("users")
export class User {
@PrimaryGeneratedColumn()
id: number;
@Column({ type: "varchar", length: 255, unique: true })
email: string;
@Column({ type: "varchar", length: 255, nullable: true })
name: string | null;
@Column({ type: "boolean", default: true })
isActive: boolean;
@CreateDateColumn()
createdAt: Date;
@UpdateDateColumn()
updatedAt: Date;
}
Primary Key Options
// Auto-increment
@PrimaryGeneratedColumn()
id: number;
// UUID
@PrimaryGeneratedColumn("uuid")
id: string;
// Custom primary key
@PrimaryColumn()
id: string;
// Composite primary key
@Entity()
export class OrderItem {
@PrimaryColumn()
orderId: number;
@PrimaryColumn()
productId: number;
}
Column Decorators
@Entity()
export class Product {
@PrimaryGeneratedColumn()
id: number;
// String columns
@Column({ type: "varchar", length: 255 })
name: string;
@Column({ type: "text", nullable: true })
description: string | null;
// Numeric columns
@Column({ type: "decimal", precision: 10, scale: 2 })
price: number;
@Column({ type: "int", default: 0 })
stock: number;
// Boolean
@Column({ type: "boolean", default: true })
isAvailable: boolean;
// JSON
@Column({ type: "jsonb", nullable: true })
metadata: Record<string, any> | null;
// Enum
@Column({
type: "enum",
enum: ["active", "inactive", "pending"],
default: "pending",
})
status: "active" | "inactive" | "pending";
// Timestamps
@CreateDateColumn()
createdAt: Date;
@UpdateDateColumn()
updatedAt: Date;
@DeleteDateColumn()
deletedAt: Date | null; // For soft deletes
// Version column for optimistic locking
@VersionColumn()
version: number;
}
Relationships
One-to-One
@Entity()
export class User {
@PrimaryGeneratedColumn()
id: number;
@OneToOne(() => Profile, (profile) => profile.user, { cascade: true })
@JoinColumn()
profile: Profile;
}
@Entity()
export class Profile {
@PrimaryGeneratedColumn()
id: number;
@Column()
bio: string;
@OneToOne(() => User, (user) => user.profile)
user: User;
}
One-to-Many / Many-to-One
@Entity()
export class User {
@PrimaryGeneratedColumn()
id: number;
@Column()
name: string;
@OneToMany(() => Post, (post) => post.author)
posts: Post[];
}
@Entity()
export class Post {
@PrimaryGeneratedColumn()
id: number;
@Column()
title: string;
@ManyToOne(() => User, (user) => user.posts, { onDelete: "CASCADE" })
@JoinColumn({ name: "author_id" })
author: User;
@Column()
authorId: number; // Explicit foreign key column
}
Many-to-Many
@Entity()
export class Post {
@PrimaryGeneratedColumn()
id: number;
@Column()
title: string;
@ManyToMany(() => Tag, (tag) => tag.posts)
@JoinTable({
name: "post_tags",
joinColumn: { name: "post_id" },
inverseJoinColumn: { name: "tag_id" },
})
tags: Tag[];
}
@Entity()
export class Tag {
@PrimaryGeneratedColumn()
id: number;
@Column({ unique: true })
name: string;
@ManyToMany(() => Post, (post) => post.tags)
posts: Post[];
}
Repository Pattern
Basic Repository Usage
import { AppDataSource } from "./data-source";
import { User } from "./entities/User";
const userRepository = AppDataSource.getRepository(User);
// Find all
const users = await userRepository.find();
// Find with conditions
const activeUsers = await userRepository.find({
where: { isActive: true },
});
// Find one
const user = await userRepository.findOne({
where: { id: 1 },
});
// Find or fail
const user = await userRepository.findOneOrFail({
where: { id: 1 },
});
// Save
const newUser = userRepository.create({
email: "user@example.com",
name: "John Doe",
});
await userRepository.save(newUser);
// Update
await userRepository.update({ id: 1 }, { name: "Jane Doe" });
// Delete
await userRepository.delete({ id: 1 });
// Soft delete (requires @DeleteDateColumn)
await userRepository.softDelete({ id: 1 });
Custom Repository
import { Repository, DataSource } from "typeorm";
import { User } from "./entities/User";
export class UserRepository extends Repository<User> {
constructor(private dataSource: DataSource) {
super(User, dataSource.createEntityManager());
}
async findByEmail(email: string): Promise<User | null> {
return this.findOne({ where: { email } });
}
async findActiveUsers(): Promise<User[]> {
return this.find({
where: { isActive: true },
order: { createdAt: "DESC" },
});
}
async findWithPosts(userId: number): Promise<User | null> {
return this.findOne({
where: { id: userId },
relations: ["posts"],
});
}
}
Query Builder
const users = await userRepository
.createQueryBuilder("user")
.leftJoinAndSelect("user.posts", "post")
.where("user.isActive = :isActive", { isActive: true })
.andWhere("post.publishedAt IS NOT NULL")
.orderBy("user.createdAt", "DESC")
.skip(0)
.take(10)
.getMany();
// With raw results
const result = await userRepository
.createQueryBuilder("user")
.select("COUNT(*)", "count")
.where("user.isActive = :isActive", { isActive: true })
.getRawOne();
// Insert with query builder
await userRepository
.createQueryBuilder()
.insert()
.into(User)
.values([
{ email: "user1@example.com", name: "User 1" },
{ email: "user2@example.com", name: "User 2" },
])
.execute();
Data Source Configuration
// data-source.ts
import { DataSource } from "typeorm";
import { User } from "./entities/User";
import { Post } from "./entities/Post";
export const AppDataSource = new DataSource({
type: "postgres",
host: process.env.DB_HOST || "localhost",
port: parseInt(process.env.DB_PORT || "5432"),
username: process.env.DB_USERNAME,
password: process.env.DB_PASSWORD,
database: process.env.DB_NAME,
// Entity configuration
entities: [User, Post],
// Or use glob pattern: entities: ["src/entities/**/*.ts"]
// Migrations
migrations: ["src/migrations/**/*.ts"],
// Synchronize - NEVER use in production
synchronize: false,
// Logging
logging: process.env.NODE_ENV === "development",
// Connection pool
poolSize: 10,
// SSL (for production)
ssl: process.env.NODE_ENV === "production" ? { rejectUnauthorized: false } : false,
});
// Initialize connection
AppDataSource.initialize()
.then(() => console.log("Data Source initialized"))
.catch((error) => console.error("Error initializing Data Source:", error));
Migrations
Creating Migrations
# Generate migration from entity changes
npx typeorm migration:generate src/migrations/CreateUsers -d src/data-source.ts
# Create empty migration
npx typeorm migration:create src/migrations/SeedUsers
# Run migrations
npx typeorm migration:run -d src/data-source.ts
# Revert last migration
npx typeorm migration:revert -d src/data-source.ts
Migration File Structure
import { MigrationInterface, QueryRunner, Table, TableIndex } from "typeorm";
export class CreateUsers1234567890 implements MigrationInterface {
public async up(queryRunner: QueryRunner): Promise<void> {
await queryRunner.createTable(
new Table({
name: "users",
columns: [
{
name: "id",
type: "int",
isPrimary: true,
isGenerated: true,
generationStrategy: "increment",
},
{
name: "email",
type: "varchar",
length: "255",
isUnique: true,
},
{
name: "name",
type: "varchar",
length: "255",
isNullable: true,
},
{
name: "is_active",
type: "boolean",
default: true,
},
{
name: "created_at",
type: "timestamp",
default: "CURRENT_TIMESTAMP",
},
{
name: "updated_at",
type: "timestamp",
default: "CURRENT_TIMESTAMP",
onUpdate: "CURRENT_TIMESTAMP",
},
],
}),
true
);
await queryRunner.createIndex(
"users",
new TableIndex({
name: "IDX_USERS_EMAIL",
columnNames: ["email"],
})
);
}
public async down(queryRunner: QueryRunner): Promise<void> {
await queryRunner.dropIndex("users", "IDX_USERS_EMAIL");
await queryRunner.dropTable("users");
}
}
Transactions
// Using QueryRunner
const queryRunner = AppDataSource.createQueryRunner();
await queryRunner.connect();
await queryRunner.startTransaction();
try {
const user = queryRunner.manager.create(User, {
email: "user@example.com",
name: "User",
});
await queryRunner.manager.save(user);
const post = queryRunner.manager.create(Post, {
title: "First Post",
author: user,
});
await queryRunner.manager.save(post);
await queryRunner.commitTransaction();
} catch (error) {
await queryRunner.rollbackTransaction();
throw error;
} finally {
await queryRunner.release();
}
// Using transaction method
await AppDataSource.transaction(async (manager) => {
const user = manager.create(User, {
email: "user@example.com",
name: "User",
});
await manager.save(user);
const post = manager.create(Post, {
title: "First Post",
author: user,
});
await manager.save(post);
});
NestJS Integration
// app.module.ts
import { Module } from "@nestjs/common";
import { TypeOrmModule } from "@nestjs/typeorm";
import { User } from "./entities/user.entity";
import { UsersModule } from "./users/users.module";
@Module({
imports: [
TypeOrmModule.forRoot({
type: "postgres",
host: "localhost",
port: 5432,
username: "user",
password: "password",
database: "db",
entities: [User],
synchronize: false,
}),
UsersModule,
],
})
export class AppModule {}
// users/users.module.ts
@Module({
imports: [TypeOrmModule.forFeature([User])],
providers: [UsersService],
controllers: [UsersController],
})
export class UsersModule {}
// users/users.service.ts
@Injectable()
export class UsersService {
constructor(
@InjectRepository(User)
private usersRepository: Repository<User>,
) {}
findAll(): Promise<User[]> {
return this.usersRepository.find();
}
findOne(id: number): Promise<User | null> {
return this.usersRepository.findOneBy({ id });
}
}
Best Practices
Use Migrations in Production
Never use synchronize: true in production. Always use migrations:
// Development: Use migrations, not sync
synchronize: false,
Eager vs Lazy Loading
// Eager loading - loads relations automatically
@OneToMany(() => Post, (post) => post.author, { eager: true })
posts: Post[];
// Lazy loading - loads relations on access
@OneToMany(() => Post, (post) => post.author)
posts: Promise<Post[]>;
// Explicit loading (recommended)
const user = await userRepository.findOne({
where: { id: 1 },
relations: ["posts"],
});
Avoid N+1 Queries
// Bad: N+1 queries
const users = await userRepository.find();
for (const user of users) {
console.log(user.posts); // Separate query for each user
}
// Good: Eager load relations
const users = await userRepository.find({
relations: ["posts"],
});
Use Indexes
@Entity()
@Index(["email"])
@Index(["firstName", "lastName"])
export class User {
@Column()
@Index()
email: string;
@Column()
firstName: string;
@Column()
lastName: string;
}
Cascade Operations
@OneToMany(() => Post, (post) => post.author, {
cascade: true, // Saves/removes related posts
onDelete: "CASCADE", // Database-level cascade
})
posts: Post[];
Naming Strategies
For consistent naming between TypeScript and database:
import { DefaultNamingStrategy, NamingStrategyInterface } from "typeorm";
import { snakeCase } from "typeorm/util/StringUtils";
export class SnakeNamingStrategy extends DefaultNamingStrategy implements NamingStrategyInterface {
tableName(targetName: string, userSpecifiedName: string | undefined): string {
return userSpecifiedName ? userSpecifiedName : snakeCase(targetName);
}
columnName(propertyName: string, customName: string, embeddedPrefixes: string[]): string {
return snakeCase(embeddedPrefixes.join("_")) + (customName ? customName : snakeCase(propertyName));
}
}
// Use in data source config
namingStrategy: new SnakeNamingStrategy(),
User Reviews (0)
Write a Review
No reviews yet
Statistics
User Rating
Rate this Skill