Usage with MySQL, MariaDB, PostgreSQL or SQLite
To use mikro-orm
with MySQL database, simply install the @mikro-orm/mysql
dependency and set the type option to mysql
when initializing ORM. Since v4 it is no longer needed to install the mysql2
package manually.
yarn add @mikro-orm/core @mikro-orm/mongodb # for mongo
yarn add @mikro-orm/core @mikro-orm/mysql # for mysql/mariadb
yarn add @mikro-orm/core @mikro-orm/mariadb # for mysql/mariadb
yarn add @mikro-orm/core @mikro-orm/postgresql # for postgresql
yarn add @mikro-orm/core @mikro-orm/sqlite # for sqlite
or
npm i -s @mikro-orm/core @mikro-orm/mongodb # for mongo
npm i -s @mikro-orm/core @mikro-orm/mysql # for mysql/mariadb
npm i -s @mikro-orm/core @mikro-orm/mariadb # for mysql/mariadb
npm i -s @mikro-orm/core @mikro-orm/postgresql # for postgresql
npm i -s @mikro-orm/core @mikro-orm/sqlite # for sqlite
Then call MikroORM.init
as part of bootstrapping your app:
To access driver specific methods like
em.createQueryBuilder()
we need to specify the driver type when callingMikroORM.init<D>()
. Alternatively we can cast theorm.em
toEntityManager
exported from the driver package:import { EntityManager } from '@mikro-orm/postgresql';
const em = orm.em as EntityManager;
const qb = em.createQueryBuilder(...);
import type { PostgreSqlDriver } from '@mikro-orm/postgresql'; // or any other SQL driver package
const orm = await MikroORM.init<PostgreSqlDriver>({
entities: ['./dist/entities'], // path to your JS entities (dist), relative to `baseDir`
dbName: 'my-db-name',
type: 'postgresql',
});
console.log(orm.em); // access EntityManager via `em` property
Custom driver
If you want to use database that is not currently supported, you can implement your own driver. More information about how to create one can be found here. Then provide the driver class via driver
configuration option:
import { MyCustomDriver } from './MyCustomDriver.ts';
const orm = await MikroORM.init<MyCustomDriver>({
entities: [Author, Book, ...],
dbName: 'my-db-name',
driver: MyCustomDriver, // provide the class, not just its name
});
Schema
Currently you will need to maintain the database schema yourself. For initial dump, you can use SchemaGenerator
helper.
ManyToMany collections with pivot tables
As opposed to MongoDriver
, in MySQL we use pivot tables to handle ManyToMany
relations:
CREATE TABLE `publisher_to_test` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`publisher_id` int(11) DEFAULT NULL,
`test_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
You can adjust the name of pivot table via pivotTable
option in @ManyToMany
decorator defined on owning side:
// for unidirectional
@ManyToMany({ entity: () => Test, owner: true, pivotTable: 'publisher2test' })
tests = new Collection<Test>(this);
// for bidirectional
@ManyToMany({ entity: () => BookTag, inversedBy: 'books', pivotTable: 'book2tag' })
tags = new Collection<BookTag>(this);
Using QueryBuilder to execute native SQL queries
When you need to execute some SQL query without all the ORM stuff involved, you can either compose the query yourself, or use the QueryBuilder
helper to construct the query for you:
const qb = orm.em.createQueryBuilder(Author);
qb.update({ name: 'test 123', type: PublisherType.GLOBAL }).where({ id: 123, type: PublisherType.LOCAL });
console.log(qb.getQuery());
// 'UPDATE `publisher2` SET `name` = ?, `type` = ? WHERE `id` = ? AND `type` = ?'
console.log(qb.getParams());
// ['test 123', PublisherType.GLOBAL, 123, PublisherType.LOCAL]
// run the query
const res1 = await qb.execute();
// or run query without using QueryBuilder
const driver = orm.em.getDriver();
const res2 = await driver.execute('SELECT ? + ?', [1, 2]);
QueryBuilder
provides fluent interface with these methods:
QueryBuilder.select(fields: string | string[], distinct?: boolean): QueryBuilder;
QueryBuilder.insert(data: any): QueryBuilder;
QueryBuilder.update(data: any): QueryBuilder;
QueryBuilder.delete(cond: any): QueryBuilder;
QueryBuilder.count(fields: string | string[], distinct?: boolean): QueryBuilder;
QueryBuilder.join(field: string, alias?: string): QueryBuilder;
QueryBuilder.leftJoin(field: string, alias?: string): QueryBuilder;
QueryBuilder.where(cond: any, operator: '$and' | '$or'): QueryBuilder;
QueryBuilder.andWhere(cond: any): QueryBuilder;
QueryBuilder.orWhere(cond: any): QueryBuilder;
QueryBuilder.groupBy(fields: string | string[]): QueryBuilder;
QueryBuilder.having(cond: any): QueryBuilder;
QueryBuilder.populate(populate: string[]): QueryBuilder;
QueryBuilder.limit(limit: number, offset?: number): QueryBuilder;
QueryBuilder.offset(offset: number): QueryBuilder;
QueryBuilder.getQuery(): string;
QueryBuilder.getParams(): any;
QueryBuilder.clone(): QueryBuilder;
For more examples of how to work with QueryBuilder
, take a look at QueryBuilder
tests in tests/QueryBuilder.test.ts
.
Transactions
When you call em.flush()
, all computed changes are queried inside a database transaction by default, so you do not have to handle transactions manually.
When you need to explicitly handle the transaction, you can use em.transactional(cb)
to run callback in transaction. It will provide forked EntityManager
as a parameter with clear isolated identity map - please use that to make changes.
// if an error occurs inside the callback, all db queries from inside the callback will be rolled back
await orm.em.transactional(async (em: EntityManager) => {
const god = new Author('God', 'hello@heaven.god');
await em.persistAndFlush(god);
});
LIKE Queries
SQL supports LIKE queries via native JS regular expressions:
const author1 = new Author2('Author 1', 'a1@example.com');
const author2 = new Author2('Author 2', 'a2@example.com');
const author3 = new Author2('Author 3', 'a3@example.com');
await orm.em.persistAndFlush([author1, author2, author3]);
// finds authors with email like '%exa%le.c_m'
const authors = await orm.em.find(Author2, { email: /exa.*le\.c.m$/ });
console.log(authors); // all 3 authors found
Native Collection Methods
Sometimes you need to perform some bulk operation, or you just want to populate your database with initial fixtures. Using ORM for such operations can bring unnecessary boilerplate code. In this case, you can use one of nativeInsert/nativeUpdate/nativeDelete
methods:
em.nativeInsert<T extends AnyEntity>(entityName: string, data: any): Promise<IPrimaryKey>;
em.nativeUpdate<T extends AnyEntity>(entityName: string, where: FilterQuery<T>, data: any): Promise<number>;
em.nativeDelete<T extends AnyEntity>(entityName: string, where: FilterQuery<T> | any): Promise<number>;
Those methods execute native SQL queries generated via QueryBuilder
based on entity metadata. Keep in mind that they do not hydrate results to entities, and they do not trigger lifecycle hooks.
They are also available as EntityRepository
shortcuts:
EntityRepository.nativeInsert(data: any): Promise<IPrimaryKey>;
EntityRepository.nativeUpdate(where: FilterQuery<T>, data: any): Promise<number>;
EntityRepository.nativeDelete(where: FilterQuery<T> | any): Promise<number>;
Additionally there is execute()
method that supports executing raw SQL queries or QueryBuilder
instances. To create QueryBuilder
, you can use createQueryBuilder()
factory method on both EntityManager
and EntityRepository
classes:
const qb = em.createQueryBuilder('Author');
qb.select('*').where({ id: { $in: [...] } });
const res = await em.getDriver().execute(qb);
console.log(res); // unprocessed result of underlying database driver
Using SQLite extensions
SQLite extensions like sqlean can add many useful features that are notably missing by default (e.g. regexp).
Once you've downloaded the binaries for the extensions you wish to use, they can be added by providing a pool.afterCreate
handler in the SQLite initialization options. The handler should call loadExtension
on the underlying database connection, passing the path to the extension binary:
const orm = await MikroORM.init<BetterSqliteDriver>({
// ...
pool: {
afterCreate: (conn: any, done: any) => {
conn.loadExtension('/.../sqlean-macos-arm64/sqlean');
done(null, conn);
},
},
});