@butlerlabs/typeorm

TypeORM is an ORM
that can run in NodeJS, Browser, Cordova, PhoneGap, Ionic, React Native, NativeScript, Expo, and Electron platforms
and can be used with TypeScript and JavaScript (ES5, ES6, ES7, ES8).
Its goal is to always support the latest JavaScript features and provide additional features
that help you to develop any kind of application that uses databases - from
small applications with a few tables to large scale enterprise applications
with multiple databases.

TypeORM supports both Active Record and Data Mapper patterns,
unlike all other JavaScript ORMs currently in existence,
which means you can write high quality, loosely coupled, scalable,
maintainable applications the most productive way.

TypeORM is highly influenced by other ORMs, such as Hibernate,
Doctrine and Entity Framework.

Features

* supports both DataMapper and ActiveRecord (your choice)
* entities and columns
* database-specific column types
* entity manager
* repositories and custom repositories
* clean object relational model
* associations (relations)
* eager and lazy relations
* uni-directional, bi-directional and self-referenced relations
* supports multiple inheritance patterns
* cascades
* indices
* transactions
* migrations and automatic migrations generation
* connection pooling
* replication
* using multiple database connections
* working with multiple databases types
* cross-database and cross-schema queries
* elegant-syntax, flexible and powerful QueryBuilder
* left and inner joins
* proper pagination for queries using joins
* query caching
* streaming raw results
* logging
* listeners and subscribers (hooks)
* supports closure table pattern
* schema declaration in models or separate configuration files
* connection configuration in json / xml / yml / env formats
* supports MySQL / MariaDB / Postgres / CockroachDB / SQLite / Microsoft SQL Server / Oracle / SAP Hana / sql.js
* supports MongoDB NoSQL database
* works in NodeJS / Browser / Ionic / Cordova / React Native / NativeScript / Expo / Electron platforms
* TypeScript and JavaScript support
* produced code is performant, flexible, clean and maintainable
* follows all possible best practices
* CLI

And more...

With TypeORM your models look like this:

``typescript
import { Entity, PrimaryGeneratedColumn, Column } from "typeorm";

@Entity()
export class User {

@PrimaryGeneratedColumn()
id: number;

@Column()
firstName: string;

@Column()
lastName: string;

@Column()
age: number;

}
`

And your domain logic looks like this:

`typescript
const repository = connection.getRepository(User);

const user = new User();
user.firstName = "Timber";
user.lastName = "Saw";
user.age = 25;
await repository.save(user);

const allUsers = await repository.find();
const firstUser = await repository.findOne(1); // find by id
const timber = await repository.findOne({ firstName: "Timber", lastName: "Saw" });

await repository.remove(timber);
`

Alternatively, if you prefer to use the ActiveRecord implementation, you can use it as well:

`typescript
import { Entity, PrimaryGeneratedColumn, Column, BaseEntity } from "typeorm";

@Entity()
export class User extends BaseEntity {

@PrimaryGeneratedColumn()
id: number;

@Column()
firstName: string;

@Column()
lastName: string;

@Column()
age: number;

}
`

And your domain logic will look this way:

`typescript
const user = new User();
user.firstName = "Timber";
user.lastName = "Saw";
user.age = 25;
await user.save();

const allUsers = await User.find();
const firstUser = await User.findOne(1);
const timber = await User.findOne({ firstName: "Timber", lastName: "Saw" });

await timber.remove();
`

Installation


1. Install the npm package:

npm install typeorm --save

2. You need to install reflect-metadata shim:

npm install reflect-metadata --save

and import it somewhere in the global place of your app (for example in app.ts):

import "reflect-metadata";

3. You may need to install node typings:

npm install @types/node --save-dev

4. Install a database driver:

* for MySQL or MariaDB

npm install mysql --save (you can install mysql2 instead as well)

* for PostgreSQL or CockroachDB

npm install pg --save

* for SQLite

npm install sqlite3 --save

* for Microsoft SQL Server

npm install mssql --save

* for sql.js

npm install sql.js --save

* for Oracle

npm install oracledb --save

To make the Oracle driver work, you need to follow the installation instructions from
their site.

* for SAP Hana

`
npm i @sap/hana-client
npm i hdb-pool
`

SAP Hana support made possible by sponsorship of Neptune Software.

* for MongoDB (experimental)

npm install mongodb --save

* for NativeScript, react-native and Cordova

Check documentation of supported platforms

Install only one of them, depending on which database you use.


##### TypeScript configuration

Also, make sure you are using TypeScript version 3.3 or higher,
and you have enabled the following settings in tsconfig.json:

`json
"emitDecoratorMetadata": true,
"experimentalDecorators": true,
`

You may also need to enable es6 in the lib section of compiler options, or install es6-shim from @types.

Quick Start

The quickest way to get started with TypeORM is to use its CLI commands to generate a starter project.
Quick start works only if you are using TypeORM in a NodeJS application.
If you are using other platforms, proceed to the step-by-step guide.

First, install TypeORM globally:

`
npm install typeorm -g
`

Then go to the directory where you want to create a new project and run the command:

`
typeorm init --name MyProject --database mysql
`

Where name is the name of your project and database is the database you'll use.
Database can be one of the following values: mysql, mariadb, postgres, cockroachdb, sqlite, mssql, oracle, mongodb,
cordova, react-native, expo, nativescript.

This command will generate a new project in the MyProject directory with the following files:

`
MyProject
├── src // place of your TypeScript code
│ ├── entity // place where your entities (database models) are stored
│ │ └── User.ts // sample entity
│ ├── migration // place where your migrations are stored
│ └── index.ts // start point of your application
├── .gitignore // standard gitignore file
├── ormconfig.json // ORM and database connection configuration
├── package.json // node module dependencies
├── README.md // simple readme file
└── tsconfig.json // TypeScript compiler options
`

> You can also run typeorm init on an existing node project, but be careful - it may override some files you already have.

The next step is to install new project dependencies:

`
cd MyProject
npm install
`

While installation is in progress, edit the ormconfig.json file and put your own database connection configuration options in there:

`json
{
"type": "mysql",
"host": "localhost",
"port": 3306,
"username": "test",
"password": "test",
"database": "test",
"synchronize": true,
"logging": false,
"entities": [
"src/entity/*/.ts"
],
"migrations": [
"src/migration/*/.ts"
],
"subscribers": [
"src/subscriber/*/.ts"
]
}
`

Particularly, most of the time you'll only need to configure
host, username, password, database and maybe port options.

Once you finish with configuration and all node modules are installed, you can run your application:

`
npm start
`

That's it, your application should successfully run and insert a new user into the database.
You can continue to work with this project and integrate other modules you need and start
creating more entities.

> You can generate an even more advanced project with express installed by running
typeorm init --name MyProject --database mysql --express command.

> You can generate docker-compose file by running
typeorm init --name MyProject --database postgres --docker command.

Step-by-Step Guide

What are you expecting from ORM?
First of all, you are expecting it will create database tables for you
and find / insert / update / delete your data without the pain of
having to write lots of hardly maintainable SQL queries.
This guide will show you how to setup TypeORM from scratch and make it do what you are expecting from an ORM.

$3

Working with a database starts from creating tables.
How do you tell TypeORM to create a database table?
The answer is - through the models.
Your models in your app are your database tables.

For example, you have a Photo model:

`typescript
export class Photo {
id: number;
name: string;
description: string;
filename: string;
views: number;
isPublished: boolean;
}
`

And you want to store photos in your database.
To store things in the database, first you need a database table,
and database tables are created from your models.
Not all models, but only those you define as entities.

$3

Entity is your model decorated by an @Entity decorator.
A database table will be created for such models.
You work with entities everywhere with TypeORM.
You can load/insert/update/remove and perform other operations with them.

Let's make our Photo model as an entity:

`typescript
import { Entity } from "typeorm";

@Entity()
export class Photo {
id: number;
name: string;
description: string;
filename: string;
views: number;
isPublished: boolean;
}
`

Now, a database table will be created for the Photo entity and we'll be able to work with it anywhere in our app.
We have created a database table, however what table can exist without columns?
Let's create a few columns in our database table.

$3

To add database columns, you simply need to decorate an entity's properties you want to make into a column
with a @Column decorator.

`typescript
import { Entity, Column } from "typeorm";

@Entity()
export class Photo {

@Column()
id: number;

@Column()
name: string;

@Column()
description: string;

@Column()
filename: string;

@Column()
views: number;

@Column()
isPublished: boolean;
}
`

Now id, name, description, filename, views and isPublished columns will be added to the photo table.
Column types in the database are inferred from the property types you used, e.g.
number will be converted into integer, string into varchar, boolean into bool, etc.
But you can use any column type your database supports by explicitly specifying a column type into the @Column decorator.

We generated a database table with columns, but there is one thing left.
Each database table must have a column with a primary key.

$3

Each entity must have at least one primary key column.
This is a requirement and you can't avoid it.
To make a column a primary key, you need to use @PrimaryColumn decorator.

`typescript
import { Entity, Column, PrimaryColumn } from "typeorm";

@Entity()
export class Photo {

@PrimaryColumn()
id: number;

@Column()
name: string;

@Column()
description: string;

@Column()
filename: string;

@Column()
views: number;

@Column()
isPublished: boolean;
}
`

$3

Now, let's say you want your id column to be auto-generated (this is known as auto-increment / sequence / serial / generated identity column).
To do that, you need to change the @PrimaryColumn decorator to a @PrimaryGeneratedColumn decorator:

`typescript
import { Entity, Column, PrimaryGeneratedColumn } from "typeorm";

@Entity()
export class Photo {

@PrimaryGeneratedColumn()
id: number;

@Column()
name: string;

@Column()
description: string;

@Column()
filename: string;

@Column()
views: number;

@Column()
isPublished: boolean;
}
`

$3

Next, let's fix our data types. By default, string is mapped to a varchar(255)-like type (depending on the database type).
Number is mapped to a integer-like type (depending on the database type).
We don't want all our columns to be limited varchars or integers.
Let's setup correct data types:

`typescript
import { Entity, Column, PrimaryGeneratedColumn } from "typeorm";

@Entity()
export class Photo {

@PrimaryGeneratedColumn()
id: number;

@Column({
length: 100
})
name: string;

@Column("text")
description: string;

@Column()
filename: string;

@Column("double")
views: number;

@Column()
isPublished: boolean;
}
`

Column types are database-specific.
You can set any column type your database supports.
More information on supported column types can be found here.

$3

Now, when our entity is created, let's create an index.ts (or app.ts whatever you call it) file and set up our connection there:

`typescript
import "reflect-metadata";
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";

createConnection({
type: "mysql",
host: "localhost",
port: 3306,
username: "root",
password: "admin",
database: "test",
entities: [
Photo
],
synchronize: true,
logging: false
}).then(connection => {
// here you can start to work with your entities
}).catch(error => console.log(error));
`

We are using MySQL in this example, but you can use any other supported database.
To use another database, simply change the type in the options to the database type you are using:
mysql, mariadb, postgres, cockroachdb, sqlite, mssql, oracle, cordova, nativescript, react-native,
expo, or mongodb.
Also make sure to use your own host, port, username, password and database settings.

We added our Photo entity to the list of entities for this connection.
Each entity you are using in your connection must be listed there.

Setting synchronize makes sure your entities will be synced with the database, every time you run the application.

$3

Later, when we create more entities we need to add them to the entities in our configuration.
This is not very convenient, so instead we can set up the whole directory, from where all entities will be connected and used in our connection:

`typescript
import { createConnection } from "typeorm";

createConnection({
type: "mysql",
host: "localhost",
port: 3306,
username: "root",
password: "admin",
database: "test",
entities: [
__dirname + "/entity/*.js"
],
synchronize: true,
}).then(connection => {
// here you can start to work with your entities
}).catch(error => console.log(error));
`

But be careful with this approach.
If you are using ts-node then you need to specify paths to .ts files instead.
If you are using outDir then you'll need to specify paths to .js files inside outDir directory.
If you are using outDir and when you remove or rename your entities make sure to clear outDir directory
and re-compile your project again, because when you remove your source .ts files their compiled .js versions
aren't removed from output directory and still are loaded by TypeORM because they are present in the outDir directory.

$3

Now if you run your index.ts, a connection with database will be initialized and a database table for your photos will be created.


`shell
+-------------+--------------+----------------------------+
| photo |
+-------------+--------------+----------------------------+
| id | int(11) | PRIMARY KEY AUTO_INCREMENT |
| name | varchar(100) | |
| description | text | |
| filename | varchar(255) | |
| views | int(11) | |
| isPublished | boolean | |
+-------------+--------------+----------------------------+
`

$3

Now let's create a new photo to save it in the database:

`typescript
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";

createConnection(/.../).then(connection => {

let photo = new Photo();
photo.name = "Me and Bears";
photo.description = "I am near polar bears";
photo.filename = "photo-with-bears.jpg";
photo.views = 1;
photo.isPublished = true;

   return connection.manager
.save(photo)
.then(photo => {
console.log("Photo has been saved. Photo id is", photo.id);
});

}).catch(error => console.log(error));
`

Once your entity is saved it will get a newly generated id.
save method returns an instance of the same object you pass to it.
It's not a new copy of the object, it modifies its "id" and returns it.

$3

Let's take advantage of the latest ES8 (ES2017) features and use async/await syntax instead:

`typescript
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";

createConnection(/.../).then(async connection => {

let photo = new Photo();
photo.name = "Me and Bears";
photo.description = "I am near polar bears";
photo.filename = "photo-with-bears.jpg";
photo.views = 1;
photo.isPublished = true;

await connection.manager.save(photo);
console.log("Photo has been saved");

}).catch(error => console.log(error));
`

$3

We just created a new photo and saved it in the database.
We used EntityManager to save it.
Using entity manager you can manipulate any entity in your app.
For example, let's load our saved entity:

`typescript
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";

createConnection(/.../).then(async connection => {

/.../
let savedPhotos = await connection.manager.find(Photo);
console.log("All photos from the db: ", savedPhotos);

}).catch(error => console.log(error));
`

savedPhotos will be an array of Photo objects with the data loaded from the database.

Learn more about EntityManager here.

$3

Now let's refactor our code and use Repository instead of EntityManager.
Each entity has its own repository which handles all operations with its entity.
When you deal with entities a lot, Repositories are more convenient to use than EntityManagers:


`typescript
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";

createConnection(/.../).then(async connection => {

let photo = new Photo();
photo.name = "Me and Bears";
photo.description = "I am near polar bears";
photo.filename = "photo-with-bears.jpg";
photo.views = 1;
photo.isPublished = true;

let photoRepository = connection.getRepository(Photo);

await photoRepository.save(photo);
console.log("Photo has been saved");

let savedPhotos = await photoRepository.find();
console.log("All photos from the db: ", savedPhotos);

}).catch(error => console.log(error));
`

Learn more about Repository here.

$3

Let's try more load operations using the Repository:

`typescript
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";

createConnection(/.../).then(async connection => {

/.../
let allPhotos = await photoRepository.find();
console.log("All photos from the db: ", allPhotos);

let firstPhoto = await photoRepository.findOne(1);
console.log("First photo from the db: ", firstPhoto);

let meAndBearsPhoto = await photoRepository.findOne({ name: "Me and Bears" });
console.log("Me and Bears photo from the db: ", meAndBearsPhoto);

let allViewedPhotos = await photoRepository.find({ views: 1 });
console.log("All viewed photos: ", allViewedPhotos);

let allPublishedPhotos = await photoRepository.find({ isPublished: true });
console.log("All published photos: ", allPublishedPhotos);

let [allPhotos, photosCount] = await photoRepository.findAndCount();
console.log("All photos: ", allPhotos);
console.log("Photos count: ", photosCount);

}).catch(error => console.log(error));
`

$3

Now let's load a single photo from the database, update it and save it:

`typescript
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";

createConnection(/.../).then(async connection => {

/.../
let photoToUpdate = await photoRepository.findOne(1);
photoToUpdate.name = "Me, my friends and polar bears";
await photoRepository.save(photoToUpdate);

}).catch(error => console.log(error));
`

Now photo with id = 1 will be updated in the database.

$3

Now let's remove our photo from the database:

`typescript
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";

createConnection(/.../).then(async connection => {

/.../
let photoToRemove = await photoRepository.findOne(1);
await photoRepository.remove(photoToRemove);

}).catch(error => console.log(error));
`

Now photo with id = 1 will be removed from the database.

$3

Let's create a one-to-one relation with another class.
Let's create a new class in PhotoMetadata.ts. This PhotoMetadata class is supposed to contain our photo's additional meta-information:

`typescript
import { Entity, Column, PrimaryGeneratedColumn, OneToOne, JoinColumn } from "typeorm";
import { Photo } from "./Photo";

@Entity()
export class PhotoMetadata {

@PrimaryGeneratedColumn()
id: number;

@Column("int")
height: number;

@Column("int")
width: number;

@Column()
orientation: string;

@Column()
compressed: boolean;

@Column()
comment: string;

@OneToOne(type => Photo)
@JoinColumn()
photo: Photo;
}
`

Here, we are using a new decorator called @OneToOne. It allows us to create a one-to-one relationship between two entities.
type => Photo is a function that returns the class of the entity with which we want to make our relationship.
We are forced to use a function that returns a class, instead of using the class directly, because of the language specifics.
We can also write it as () => Photo, but we use type => Photo as a convention to increase code readability.
The type variable itself does not contain anything.

We also add a @JoinColumn decorator, which indicates that this side of the relationship will own the relationship.
Relations can be unidirectional or bidirectional.
Only one side of relational can be owning.
Using @JoinColumn decorator is required on the owner side of the relationship.

If you run the app, you'll see a newly generated table, and it will contain a column with a foreign key for the photo relation:

`shell
+-------------+--------------+----------------------------+
| photo_metadata |
+-------------+--------------+----------------------------+
| id | int(11) | PRIMARY KEY AUTO_INCREMENT |
| height | int(11) | |
| width | int(11) | |
| comment | varchar(255) | |
| compressed | boolean | |
| orientation | varchar(255) | |
| photoId | int(11) | FOREIGN KEY |
+-------------+--------------+----------------------------+
`

$3

Now let's save a photo, its metadata and attach them to each other.

`typescript
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";
import { PhotoMetadata } from "./entity/PhotoMetadata";

createConnection(/.../).then(async connection => {

// create a photo
let photo = new Photo();
photo.name = "Me and Bears";
photo.description = "I am near polar bears";
photo.filename = "photo-with-bears.jpg";
photo.isPublished = true;

// create a photo metadata
let metadata = new PhotoMetadata();
metadata.height = 640;
metadata.width = 480;
metadata.compressed = true;
metadata.comment = "cybershoot";
metadata.orientation = "portrait";
metadata.photo = photo; // this way we connect them

// get entity repositories
let photoRepository = connection.getRepository(Photo);
let metadataRepository = connection.getRepository(PhotoMetadata);

// first we should save a photo
await photoRepository.save(photo);

// photo is saved. Now we need to save a photo metadata
await metadataRepository.save(metadata);

// done
console.log("Metadata is saved, and relation between metadata and photo is created in the database too");

}).catch(error => console.log(error));
`

$3

Relations can be unidirectional or bidirectional.
Currently, our relation between PhotoMetadata and Photo is unidirectional.
The owner of the relation is PhotoMetadata, and Photo doesn't know anything about PhotoMetadata.
This makes it complicated to access PhotoMetadata from the Photo side.
To fix this issue we should add an inverse relation, and make relations between PhotoMetadata and Photo bidirectional.
Let's modify our entities:

`typescript
import { Entity, Column, PrimaryGeneratedColumn, OneToOne, JoinColumn } from "typeorm";
import { Photo } from "./Photo";

@Entity()
export class PhotoMetadata {

/ ... other columns /

@OneToOne(type => Photo, photo => photo.metadata)
@JoinColumn()
photo: Photo;
}
`

`typescript
import { Entity, Column, PrimaryGeneratedColumn, OneToOne } from "typeorm";
import { PhotoMetadata } from "./PhotoMetadata";

@Entity()
export class Photo {

/ ... other columns /

@OneToOne(type => PhotoMetadata, photoMetadata => photoMetadata.photo)
metadata: PhotoMetadata;
}
`

photo => photo.metadata is a function that returns the name of the inverse side of the relation.
Here we show that the metadata property of the Photo class is where we store PhotoMetadata in the Photo class.
Instead of passing a function that returns a property of the photo, you could alternatively simply pass a string to @OneToOne decorator, like "metadata".
But we used this function-typed approach to make our refactoring easier.

Note that we should use @JoinColumn decorator only on one side of a relation.
Whichever side you put this decorator on will be the owning side of the relationship.
The owning side of a relationship contains a column with a foreign key in the database.

$3

Now let's load our photo and its photo metadata in a single query.
There are two ways to do it - using find* methods or using QueryBuilder functionality.
Let's use find* methods first.
find* methods allow you to specify an object with the FindOneOptions / FindManyOptions interface.

`typescript
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";
import { PhotoMetadata } from "./entity/PhotoMetadata";

createConnection(/.../).then(async connection => {

/.../
let photoRepository = connection.getRepository(Photo);
let photos = await photoRepository.find({ relations: ["metadata"] });

}).catch(error => console.log(error));
`

Here, photos will contain an array of photos from the database, and each photo will contain its photo metadata.
Learn more about Find Options in this documentation.

Using find options is good and dead simple, but if you need a more complex query, you should use QueryBuilder instead.
QueryBuilder allows more complex queries to be used in an elegant way:

`typescript
import { createConnection } from "typeorm";
import { Photo } from "./entity/Photo";
import { PhotoMetadata } from "./entity/PhotoMetadata";

createConnection(/.../).then(async connection => {

/.../
let photos = await connection
.getRepository(Photo)
.createQueryBuilder("photo")
.innerJoinAndSelect("photo.metadata", "metadata")
.getMany();


}).catch(error => console.log(error));
`

QueryBuilder allows creation and execution of SQL queries of almost any complexity.
When you work with QueryBuilder, think like you are creating an SQL query.
In this example, "photo" and "metadata" are aliases applied to selected photos.
You use aliases to access columns and properties of the selected data.

$3

We can setup cascade options in our relations, in the cases when we want our related object to be saved whenever the other object is saved.
Let's change our photo's @OneToOne decorator a bit:

`typescript
export class Photo {
/// ... other columns

@OneToOne(type => PhotoMetadata, metadata => metadata.photo, {
cascade: true,
})
metadata: PhotoMetadata;
}
`

Using cascade allows us not to separately save photo and separately save metadata objects now.
Now we can simply save a photo object, and the metadata object will be saved automatically because of cascade options.

`typescript
createConnection(options).then(async connection => {

// create photo object
let photo = new Photo();
photo.name = "Me and Bears";
photo.description = "I am near polar bears";
photo.filename = "photo-with-bears.jpg";
photo.isPublished = true;

// create photo metadata object
let metadata = new PhotoMetadata();
metadata.height = 640;
metadata.width = 480;
metadata.compressed = true;
metadata.comment = "cybershoot";
metadata.orientation = "portrait";

photo.metadata = metadata; // this way we connect them

// get repository
let photoRepository = connection.getRepository(Photo);

// saving a photo also save the metadata
await photoRepository.save(photo);

console.log("Photo is saved, photo metadata is saved too.")

}).catch(error => console.log(error));
`

Notice that we now set the photo's metadata property, instead of the metadata's photo property as before. The cascade feature only works if you connect the photo to its metadata from the photo's side. If you set the metadata's side, the metadata would not be saved automatically.

$3

Let's create a many-to-one / one-to-many relation.
Let's say a photo has one author, and each author can have many photos.
First, let's create an Author class:

`typescript
import { Entity, Column, PrimaryGeneratedColumn, OneToMany, JoinColumn } from "typeorm";
import { Photo } from "./Photo";

@Entity()
export class Author {

@PrimaryGeneratedColumn()
id: number;

@Column()
name: string;

@OneToMany(type => Photo, photo => photo.author) // note: we will create author property in the Photo class below
photos: Photo[];
}
`

Author contains an inverse side of a relation.
OneToMany is always an inverse side of relation, and it can't exist without ManyToOne on the other side of the relation.

Now let's add the owner side of the relation into the Photo entity:

`typescript
import { Entity, Column, PrimaryGeneratedColumn, ManyToOne } from "typeorm";
import { PhotoMetadata } from "./PhotoMetadata";
import { Author } from "./Author";

@Entity()
export class Photo {

/ ... other columns /

@ManyToOne(type => Author, author => author.photos)
author: Author;
}
`

In many-to-one / one-to-many relation, the owner side is always many-to-one.
It means that the class that uses @ManyToOne will store the id of the related object.

After you run the application, the ORM will create the author table:


`shell
+-------------+--------------+----------------------------+
| author |
+-------------+--------------+----------------------------+
| id | int(11) | PRIMARY KEY AUTO_INCREMENT |
| name | varchar(255) | |
+-------------+--------------+----------------------------+
`

It will also modify the photo table, adding a new author column and creating a foreign key for it:

`shell
+-------------+--------------+----------------------------+
| photo |
+-------------+--------------+----------------------------+
| id | int(11) | PRIMARY KEY AUTO_INCREMENT |
| name | varchar(255) | |
| description | varchar(255) | |
| filename | varchar(255) | |
| isPublished | boolean | |
| authorId | int(11) | FOREIGN KEY |
+-------------+--------------+----------------------------+
`

$3

Let's create a many-to-one / many-to-many relation.
Let's say a photo can be in many albums, and each album can contain many photos.
Let's create an Album class:

`typescript
import { Entity, PrimaryGeneratedColumn, Column, ManyToMany, JoinTable } from "typeorm";

@Entity()
export class Album {

@PrimaryGeneratedColumn()
id: number;

@Column()
name: string;

@ManyToMany(type => Photo, photo => photo.albums)
@JoinTable()
photos: Photo[];
}
`

@JoinTable is required to specify that this is the owner side of the relationship.

Now let's add the inverse side of our relation to the Photo class:

`typescript
export class Photo {
/// ... other columns

@ManyToMany(type => Album, album => album.photos)
albums: Album[];
}
`

After you run the application, the ORM will create a album_photos_photo_albums junction table:

`shell
+-------------+--------------+----------------------------+
| album_photos_photo_albums |
+-------------+--------------+----------------------------+
| album_id | int(11) | PRIMARY KEY FOREIGN KEY |
| photo_id | int(11) | PRIMARY KEY FOREIGN KEY |
+-------------+--------------+----------------------------+
`

Don't forget to register the Album class with your connection in the ORM:

`typescript
const options: ConnectionOptions = {
// ... other options
entities: [Photo, PhotoMetadata, Author, Album]
};
`

Now let's insert albums and photos to our database:

`typescript
let connection = await createConnection(options);

// create a few albums
let album1 = new Album();
album1.name = "Bears";
await connection.manager.save(album1);

let album2 = new Album();
album2.name = "Me";
await connection.manager.save(album2);

// create a few photos
let photo = new Photo();
photo.name = "Me and Bears";
photo.description = "I am near polar bears";
photo.filename = "photo-with-bears.jpg";
photo.views = 1
photo.isPublished = true
photo.albums = [album1, album2];
await connection.manager.save(photo);

// now our photo is saved and albums are attached to it
// now lets load them:
const loadedPhoto = await connection
.getRepository(Photo)
.findOne(1, { relations: ["albums"] });
`

loadedPhoto will be equal to:

`typescript
{
id: 1,
name: "Me and Bears",
description: "I am near polar bears",
filename: "photo-with-bears.jpg",
albums: [{
id: 1,
name: "Bears"
}, {
id: 2,
name: "Me"
}]
}
`

$3

You can use QueryBuilder to build SQL queries of almost any complexity. For example, you can do this:

`typescript
let photos = await connection
.getRepository(Photo)
.createQueryBuilder("photo") // first argument is an alias. Alias is what you are selecting - photos. You must specify it.
.innerJoinAndSelect("photo.metadata", "metadata")
.leftJoinAndSelect("photo.albums", "album")
.where("photo.isPublished = true")
.andWhere("(photo.name = :photoName OR photo.name = :bearName)")
.orderBy("photo.id", "DESC")
.skip(5)
.take(10)
.setParameters({ photoName: "My", bearName: "Mishka" })
.getMany();
``

This query selects all published photos with "My" or "Mishka" names.
It will select results from position 5 (pagination offset),
and will select only 10 results (pagination limit).
The selection result will be ordered by id in descending order.
The photo's albums will be left-joined and their metadata will be inner joined.

You'll use the query builder in your application a lot.
Learn more about QueryBuilder here.

Samples

Take a look at the samples in sample for examples of usage.

There are a few repositories which you can clone and start with:

* Example how to use TypeORM with TypeScript
* Example how to use TypeORM with JavaScript
* Example how to use TypeORM with JavaScript and Babel
* Example how to use TypeORM with TypeScript and SystemJS in Browser
* Example how to use Express and TypeORM
* Example how to use Koa and TypeORM
* Example how to use TypeORM with MongoDB
* Example how to use TypeORM in a Cordova/PhoneGap app
* Example how to use TypeORM with an Ionic app
* Example how to use TypeORM with React Native
* Example how to use TypeORM with Nativescript-Vue
* Example how to use TypeORM with Nativescript-Angular
* Example how to use TypeORM with Electron using JavaScript
* Example how to use TypeORM with Electron using TypeScript

Extensions

There are several extensions that simplify working with TypeORM and integrating it with other modules:

* TypeORM + GraphQL framework
* TypeORM integration with TypeDI
* TypeORM integration with routing-controllers
* Models generation from existing database - typeorm-model-generator
* Fixtures loader - typeorm-fixtures-cli
* ER Diagram generator - typeorm-uml

Contributing

Learn about contribution here and how to setup your development environment here.

This project exists thanks to all the people who contribute:

Sponsors

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