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NestJSframework~5 mins

Entity definition in NestJS

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Introduction

An entity defines how data is stored in a database table. It helps NestJS know what data to save and retrieve.

When you want to create a table in your database to store user information.
When you need to map your app's data to database rows and columns.
When you want to use TypeORM or another ORM with NestJS to manage data easily.
When you want to keep your database structure clear and organized in code.
Syntax
NestJS
import { Entity, Column, PrimaryGeneratedColumn } from 'typeorm';

@Entity()
export class ExampleEntity {
  @PrimaryGeneratedColumn()
  id: number;

  @Column()
  name: string;

  @Column({ nullable: true })
  description?: string;
}

@Entity() marks the class as a database table.

@PrimaryGeneratedColumn() creates an auto-incrementing ID.

Examples
This defines a User table with id, username, and email columns.
NestJS
import { Entity, Column, PrimaryGeneratedColumn } from 'typeorm';

@Entity()
export class User {
  @PrimaryGeneratedColumn()
  id: number;

  @Column()
  username: string;

  @Column()
  email: string;
}
This defines a Product table named 'products' with a UUID id and decimal price.
NestJS
import { Entity, Column, PrimaryGeneratedColumn } from 'typeorm';

@Entity('products')
export class Product {
  @PrimaryGeneratedColumn('uuid')
  id: string;

  @Column()
  title: string;

  @Column('decimal')
  price: number;
}
Sample Program

This Book entity creates a table with id, title, and an optional author column.

NestJS
import { Entity, Column, PrimaryGeneratedColumn } from 'typeorm';

@Entity()
export class Book {
  @PrimaryGeneratedColumn()
  id: number;

  @Column()
  title: string;

  @Column({ nullable: true })
  author?: string;
}
OutputSuccess
Important Notes

Entity classes must be decorated with @Entity() to work with TypeORM.

Columns can have options like nullable to allow empty values.

Primary keys are usually auto-generated for easy identification.

Summary

Entities map your code classes to database tables.

Use decorators like @Entity() and @Column() to define structure.

This helps NestJS and TypeORM manage data smoothly.

Practice

(1/5)
1. What is the purpose of the @Entity() decorator in a NestJS application using TypeORM?
easy
A. It marks a class as a database table representation.
B. It defines a method to fetch data from the database.
C. It creates a new database connection.
D. It styles the output of a component.

Solution

  1. Step 1: Understand the role of @Entity()

    The @Entity() decorator tells NestJS and TypeORM that the class represents a database table.
  2. Step 2: Differentiate from other decorators

    Other decorators like @Column() define table columns, but @Entity() marks the whole class as a table.
  3. Final Answer:

    It marks a class as a database table representation. -> Option A
  4. Quick Check:

    @Entity() = Table marker [OK]
Hint: Remember: @Entity() means 'this class is a table' [OK]
Common Mistakes:
  • Confusing @Entity() with database connection setup
  • Thinking @Entity() defines methods or styles
  • Mixing up @Entity() with @Column()
2. Which of the following is the correct way to define a string column named title in a NestJS entity using TypeORM?
easy
A. @Column({ type: 'number' }) title: string;
B. @Column('boolean') title: string;
C. @Column() title: string;
D. @Column({ length: 255 }) title: number;

Solution

  1. Step 1: Identify the correct @Column() usage for a string

    By default, @Column() without options assumes a string type in TypeORM.
  2. Step 2: Check type consistency

    The property type should be string to match the column type.
  3. Final Answer:

    @Column() title: string; -> Option C
  4. Quick Check:

    Default @Column() = string column [OK]
Hint: Use @Column() alone for simple string columns [OK]
Common Mistakes:
  • Setting wrong type in @Column() options
  • Mismatching property type and column type
  • Using number type for string properties
3. Given the following entity code, what will be the type of the age column in the database?
import { Entity, Column, PrimaryGeneratedColumn } from 'typeorm';

@Entity()
export class User {
  @PrimaryGeneratedColumn()
  id: number;

  @Column()
  name: string;

  @Column({ type: 'int' })
  age: number;
}
medium
A. INTEGER (number)
B. VARCHAR (string)
C. BOOLEAN
D. DATE

Solution

  1. Step 1: Check the @Column() decorator on age

    The decorator specifies { type: 'int' }, which means an integer column in the database.
  2. Step 2: Match the property type

    The property age is a number, matching the integer database type.
  3. Final Answer:

    INTEGER (number) -> Option A
  4. Quick Check:

    { type: 'int' } means integer column [OK]
Hint: Look for { type: 'int' } to identify integer columns [OK]
Common Mistakes:
  • Assuming default string type without checking options
  • Confusing int with boolean or date
  • Ignoring the explicit type option in @Column()
4. Identify the error in the following entity definition:
import { Entity, Column, PrimaryGeneratedColumn } from 'typeorm';

@Entity()
export class Product {
  @PrimaryGeneratedColumn()
  id: number;

  @Column({ type: 'varchar', length: 100 })
  name: number;
}
medium
A. Missing @Entity() decorator
B. Property type number does not match column type varchar
C. Primary key column missing
D. Incorrect import statement

Solution

  1. Step 1: Check property and column type consistency

    The name property is typed as number but the column type is varchar, which expects a string.
  2. Step 2: Confirm other parts are correct

    @Entity() is present, primary key is defined, and imports are correct.
  3. Final Answer:

    Property type number does not match column type varchar -> Option B
  4. Quick Check:

    Property type must match column type [OK]
Hint: Match property type with @Column() type options [OK]
Common Mistakes:
  • Using wrong property type for string columns
  • Forgetting to add @Entity()
  • Missing primary key decorator
5. You want to define an entity Order with an auto-generated primary key id, a string customerName limited to 150 characters, and an optional numeric discount that can be null. Which is the correct entity definition?
hard
A. import { Entity, Column, PrimaryGeneratedColumn } from 'typeorm'; @Entity() export class Order { @PrimaryGeneratedColumn() id: number; @Column({ length: 150 }) customerName: string; @Column({ type: 'int', nullable: false }) discount: number; }
B. import { Entity, Column, PrimaryGeneratedColumn } from 'typeorm'; @Entity() export class Order { @PrimaryGeneratedColumn() id: string; @Column({ length: 150 }) customerName: string; @Column({ type: 'float' }) discount: number; }
C. import { Entity, Column, PrimaryGeneratedColumn } from 'typeorm'; @Entity() export class Order { @PrimaryGeneratedColumn() id: number; @Column({ type: 'varchar', length: 150 }) customerName: number; @Column({ type: 'float', nullable: true }) discount: number; }
D. import { Entity, Column, PrimaryGeneratedColumn } from 'typeorm'; @Entity() export class Order { @PrimaryGeneratedColumn() id: number; @Column({ length: 150 }) customerName: string; @Column({ type: 'float', nullable: true }) discount?: number; }

Solution

  1. Step 1: Verify primary key definition

    @PrimaryGeneratedColumn() on id: number creates an auto-incrementing integer primary key. A string type would be incorrect without additional configuration like UUID.
  2. Step 2: Check customerName

    @Column({ length: 150 }) with string type creates a VARCHAR(150) column. A number type mismatches.
  3. Step 3: Confirm discount

    @Column({ type: 'float', nullable: true }) with optional discount?: number allows null values. Missing nullable: true, wrong type like 'int', or non-optional fails.
  4. Final Answer:

    The entity with number id, string customerName({length:150}), optional nullable float discount -> Option D
  5. Quick Check:

    Match types, nullable, and optional properties carefully [OK]
Hint: Use nullable: true and optional property for nullable columns [OK]
Common Mistakes:
  • Mismatching property types and column types
  • Forgetting to mark nullable columns as optional
  • Using wrong primary key type
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