TypeORM

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ORM is in active development, but main API is pretty stable. If you notice bug or have something not working please report an issue, we’ll try to fix it as soon as possible. More documentation and features expected to be soon. Feel free to contribute.

0.0.5 is released! Most notable changes are in the changelog.

TypeORM is an Object Relational Mapper (ORM) for node.js written in TypeScript that can be used with TypeScript or JavaScript (ES5, ES6, ES7). Its goal to always support latest JavaScript features and provide features that help you to develop any kind of applications that use database - from small applications with a few tables to large scale enterprise applications. TypeORM helps you to:

automatically create in the database table schemas based on your models
ability to transparently insert / update / delete to the database your objects
map your selections from tables to javascript objects and map table columns to javascript object’s properties
create one-to-one, many-to-one, one-to-many, many-to-many relations between tables
and much more …

TypeORM uses Data Mapper pattern, unlike all other JavaScript ORMs that currently exist, which means you can write loosely coupled, scalable, maintainable applications with less problems.

The benefit of using TypeORM for the programmer is the ability to focus on the business logic and worry about persistence only as a secondary problem.

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

Installation

Install module:

npm install typeorm --save
You need to install reflect-metadata shim:

npm install reflect-metadata --save

and use it somewhere in the global place of your app:
- require("reflect-metadata") in your app’s entry point (for example app.ts)
Install database driver:
- for MySQL or MariaDB
  
  npm install mysql --save
- for Postgres
  
  npm install pg --save
- for SQLite
  
  npm install sqlite3 --save
- for Microsoft SQL Server
  
  npm install mssql --save
- for Oracle (experimental)
  
  npm install oracledb --save
Install only one of them, depend on which database you use.

To make oracle driver to work you need to follow installation instructions from their site.

TypeScript configuration

Also make sure you are using TypeScript compiler version > 2.1 and you have enabled following settings in tsconfig.json:

"emitDecoratorMetadata": true,
"experimentalDecorators": true,

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

Node.js version

TypeORM was tested with Node.JS version 4 and above. If you have errors during app bootstrap, try to upgrade your node.js version to the latest version.

Usage in the browser with WebSQL

TypeORM works in the browser and has experimental support of WebSQL. If you want to use TypeORM in the browser then you need to npm i typeorm-browser instead of typeorm. More information about it in this page. Also take a look on this sample.

Quick Start

In TypeORM tables are created from Entities. Entity is your model decorated by a @Table decorator. You can get entities from the database and insert/update/remove them from there. Let’s say we have a model entity/Photo.ts:

export class Photo {
    id: number;
    name: string;
    description: string;
    fileName: string;
    views: number;
}

Creating entity

Now lets make it entity:

import {Table} from "typeorm";

@Table()
export class Photo {
    id: number;
    name: string;
    description: string;
    fileName: string;
    views: number;
    isPublished: boolean;
}

Add table columns

Now we have a table, and each table consist of columns. Let’s add some columns. You can make any property of your model a column by using a @Column decorator:

import {Table, Column} from "typeorm";

@Table()
export class Photo {

    @Column()
    id: number;

    @Column()
    name: string;

    @Column()
    description: string;

    @Column()
    fileName: string;

    @Column()
    views: number;

    @Column()
    isPublished: boolean;
}

Create a primary column

Perfect. Now ORM will generate us a photo table with all its properties as columns. But there is one thing left. Each entity must have a primary column. This is requirement and you can’t avoid it. To make a column a primary you need to use @PrimaryColumn decorator.

import {Table, Column, PrimaryColumn} from "typeorm";

@Table()
export class Photo {

    @PrimaryColumn()
    id: number;

    @Column()
    name: string;

    @Column()
    description: string;

    @Column()
    fileName: string;

    @Column()
    views: number;

    @Column()
    isPublished: boolean;
}

Create auto-increment / generated / sequence / identity column

Now, lets say you want to make your id column to be auto-generated (this is known as auto-increment / sequence / generated identity column). To do that you need to change your column’s type to integer and set a { generated: true } in your primary column’s options:

import {Table, Column, PrimaryColumn} from "typeorm";

@Table()
export class Photo {

    @PrimaryColumn("int", { generated: true })
    id: number;

    @Column()
    name: string;

    @Column()
    description: string;

    @Column()
    fileName: string;

    @Column()
    views: number;

    @Column()
    isPublished: boolean;
}

Using `@PrimaryGeneratedColumn` decorator

Now your photo’s id will always be a generated, auto increment value. Since this is a common task - to create a generated auto increment primary column, there is a special decorator called @PrimaryGeneratedColumn to do the same. Let’s use it instead:

import {Table, Column, PrimaryGeneratedColumn} from "typeorm";

@Table()
export class Photo {

    @PrimaryGeneratedColumn()
    id: number;

    @Column()
    name: string;

    @Column()
    description: string;

    @Column()
    fileName: string;

    @Column()
    views: number;

    @Column()
    isPublished: boolean;
}

Custom column data types

Next step, lets fix our data types. By default, string is mapped to a varchar(255)-like type (depend of database type). Number is mapped to a float/double-like type (depend of database type). We don’t want all our columns to be limited varchars or excessive floats. Lets setup correct data types:

import {Table, Column, PrimaryGeneratedColumn} from "typeorm";

@Table()
export class Photo {

    @PrimaryGeneratedColumn()
    id: number;

    @Column({
        length: 500
    })
    name: string;

    @Column("text")
    description: string;

    @Column()
    fileName: string;

    @Column("int")
    views: number;

    @Column()
    isPublished: boolean;
}

Creating connection with the database

Now, when our entity is created, lets create app.ts file and setup our connection there:

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

createConnection({
    driver: {
        type: "mysql",
        host: "localhost",
        port: 3306,
        username: "root",
        password: "admin",
        database: "test"
    },
    entities: [
        Photo
    ],
    autoSchemaSync: true,
}).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 database. To use another database simply change type in the driver options to the database type you are using: mysql, mariadb, postgres, sqlite, mssql or oracle. 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 here.

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

Loading all entities from the directory

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

import {createConnection} from "typeorm";

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

Run the application

Now you if run your app.ts, connection with database will be initialized and database table for your Photo will be created.

+-------------+--------------+----------------------------+
|                         photo                           |
+-------------+--------------+----------------------------+
| id          | int(11)      | PRIMARY KEY AUTO_INCREMENT |
| name        | varchar(500) |                            |
| description | text         |                            |
| filename    | varchar(255) |                            |
| views       | int(11)      |                            |
| isPublished | boolean      |                            |
+-------------+--------------+----------------------------+

Now you can run your app.ts, connection with database will be initialized, and database table for your Photo will be created.

Creating and inserting photo into the database

Now lets create a new photo to save it in the database:

import {createConnection} from "typeorm";

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;

    connection.entityManager
            .persist(photo)
            .then(photo => {
                console.log("Photo has been saved");
            });

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

Using async/await syntax

Lets use latest TypeScript advantages and use async/await syntax instead:

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.entityManager.persist(photo);
    console.log("Photo has been saved");

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

Using Entity Manager

We just created a new photo and saved it in the database. We used EntityManager to save it. Using entity managers you can manipulate any entity in your app. Now lets load our saved entity:

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

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

    /*...*/
    let savedPhotos = await connection.entityManager.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.

Using Repositories

Now lets 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 then EntityManager:

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.persist(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));

Loading photos from the database

Lets try more load operations using Repository:

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.findOneById(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: ", allPublishedPhotos);
    console.log("Photos count: ", allPublishedPhotos);

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

Updating photo in the database

Now lets load a single photo from the database, update it and save it:

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

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

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

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

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

Removing photo from the database

Now let’s remove our photo from the database:

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

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

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

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

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

creating a one-to-one relation

Lets create a one-to-one relation with another class. Lets create a new class called PhotoMetadata.ts which will contain a PhotoMetadata class which supposed to contain our photo’s additional meta-information:

import {Table, Column, PrimaryGeneratedColumn, OneToOne, JoinColumn} from "typeorm";
import {Photo} from "./Photo";

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

We also put @JoinColumn decorator, which indicates that this side of the relationship will be owning relationship. Relations can be a uni-directional and bi-directional. Only one side of relational can be owner. Using this decorator is required on owner side of the relationship.

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

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

persisting an object with one-to-one relation

Now lets save a photo, its metadata and attach them to each other.

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

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

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

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

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

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

Adding inverse side of a relation

Relations can be a uni-directional and bi-directional. Now, relation between PhotoMetadata and Photo is uni-directional. Owner of the relation is PhotoMetadata and Photo doesn’t know anything about PhotoMetadata. This makes complicated accessing a photo metadata from the photo objects. To fix it we should add inverse relation and make relations between PhotoMetadata and Photo bi-directional. Let’s modify our entities:

import {Table, Column, PrimaryGeneratedColumn, OneToOne, JoinColumn} from "typeorm";
import {Photo} from "./Photo";

@Table()
export class PhotoMetadata {

    /* ... other columns */

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

import {Table, Column, PrimaryGeneratedColumn, OneToOne} from "typeorm";
import {PhotoMetadata} from "./PhotoMetadata";

@Table()
export class Photo {

    /* ... other columns */

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

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

Note that we should use @JoinColumn only on one side of relation. On which side you put this decorator, that side will be owning side of relationship. Owning side of relationship contain a column with a foreign key in the database.

Loading object with their relations

Now lets load our photo, and its photo metadata in a single query. There are two ways to do it - one you can use FindOptions, second is to use QueryBuilder. Lets use FindOptions first. Repository.find method allows you to specify object with FindOptions interface. Using this you can customize your query to perform more complex queries.

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({
        alias: "photo",
        innerJoinAndSelect: {
            "metadata": "photo.metadata"
        }
    });


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

Here photos will contain array of photos from the database, and each photo will contain its photo metadata.

alias is a required property of FindOptions. Its your own alias name of the data you are selecting. You’ll use this alias in your where, order by, group by, join and other expressions.

We also used innerJoinAndSelect to inner and join and select the data from photo.metadata. In "photo.metadata" “photo” is an alias you used, and “metadata” is a property name with relation of the object you are selecting. "metadata": is a new alias to the data returned by join expression.

Lets use QueryBuilder for the same purpose. QueryBuilder allows to use more complex queries in an elegant way:

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.createQueryBuilder("photo")
            .innerJoinAndSelect("photo.metadata", "metadata")
            .getMany();


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

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

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

    @OneToOne(type => PhotoMetadata, metadata => metadata.photo, {
        cascadeInsert: true,
        cascadeUpdate: true,
        cascadeRemove: true
    })
    metadata: PhotoMetadata;
}

cascadeInsert - automatically insert metadata in the relation if it does not exist in its table. This means that we don’t need to manually insert a newly created photoMetadata object.
cascadeUpdate - automatically update metadata in the relation if in this object something is changed.
cascadeRemove - automatically remove metadata from its table if you removed metadata from photo object.

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

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

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

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

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

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

creating a many-to-one / one-to-many relation

Lets create a many-to-one / one-to-many relation. Lets say a photo has one author, and each author can have many photos. First, lets create Author class:

import {Table, Column, PrimaryGeneratedColumn, OneToMany, JoinColumn} from "typeorm";
import {Photo} from "./Photo";

@Table()
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 relationship. OneToMany is always an inverse side of relation, and it can’t exist without ManyToOne of the other side of relationship.

Now lets add owner side of relationship into the Photo entity:

import {Table, Column, PrimaryGeneratedColumn, ManyToOne} from "typeorm";
import {PhotoMetadata} from "./PhotoMetadata";
import {Author} from "./Author";

@Table()
export class Photo {

    /* ... other columns */

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

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

After you run application ORM will create author table:

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

It will also modify photo table - add a new column author and create a foreign key for it:

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

creating a many-to-many relation

Lets create a many-to-one / many-to-many relation. Lets say a photo can be in many albums, and multiple can have many photos. Lets create an Album class:

import {Table, PrimaryGeneratedColumn, Column, ManyToMany, JoinTable} from "typeorm";

@Table()
export class Album {

    @PrimaryGeneratedColumn()
    id: number;

    @Column()
    name: string;

    @ManyToMany(type => Photo, photo => photo.albums, {  // note: we will create "albums" property in the Photo class below
        cascadeInsert: true, // allow to insert a new photo on album save
        cascadeUpdate: true, // allow to update a photo on album save
        cascadeRemove: true  // allow to remove a photo on album remove
    })
    @JoinTable()
    photos: Photo[] = []; // we initialize array for convinience here
}

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

Now lets add inverse side of our relation to the Photo class:

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

    @ManyToMany(type => Album, album => album.photos, {
        cascadeInsert: true, // allow to insert a new album on photo save
        cascadeUpdate: true, // allow to update an album on photo save
        cascadeRemove: true  // allow to remove an album on photo remove
    })
    albums: Album[] = []; // we initialize array for convinience here
}

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

+-------------+--------------+----------------------------+
|                album_photos_photo_albums                |
+-------------+--------------+----------------------------+
| album_id_1  | int(11)      | PRIMARY KEY FOREIGN KEY    |
| photo_id_2  | int(11)      | PRIMARY KEY FOREIGN KEY    |
+-------------+--------------+----------------------------+

Don’t forget to register Album class for your connection in the ORM:

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

Now lets insert albums and photos to our database:

let connection = await createConnection(options);

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

let album2 = new Album();
album2.name = "Me";

// create a few photos
let photo1 = new Photo();
photo1.name = "Me and Bears";
photo1.description = "I am near polar bears";
photo1.filename = "photo-with-bears.jpg";
photo1.albums.push(album1);

let photo2 = new Photo();
photo2.name = "Me and Bears";
photo2.description = "I am near polar bears";
photo2.filename = "photo-with-bears.jpg";
photo2.albums.push(album2);

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

// first save a first photo
// we only save the photos, albums are persisted
// automatically because of cascade options
await photoRepository.persist(photo1);

// second save a first photo
await photoRepository.persist(photo2);

console.log("Both photos have been saved");

using QueryBuilder

You can use QueryBuilder to build even more complex queries. For example you can do this:

let photoRepository = connection.getRepository(Photo);
let photos = await photoRepository
    .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", "albums")
    .where("photo.isPublished=true")
    .andWhere("(photo.name=:photoName OR photo.name=:bearName)")
    .orderBy("photo.id", "DESC")
    .setFirstResult(5)
    .setMaxResults(10)
    .setParameters({ photoName: "My", bearName: "Mishka" })
    .getMany();

This query builder will select you all photos that are published and whose name is “My” or “Mishka”, it will select results from 5 position (pagination offset), and will select only 10 results (pagination limit). Selection result will be ordered by id in descending order. Photo’s albums will be left-joined and photo’s metadata will be inner joined.

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

Learn more

Samples

Take a look on samples in ./sample for examples of usage.

Contributing

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