Custom Types

You can define custom types by extending Type abstract class. It has several optional methods:

• convertToDatabaseValue(value: any, platform: Platform): any

  Converts a value from its JS representation to its database representation of this type. By default returns unchanged value.

• convertToJSValue(value: any, platform: Platform): any

  Converts a value from its database representation to its JS representation of this type. By default returns unchanged value.

• toJSON(value: any, platform: Platform): any

  Converts a value from its JS representation to its serialized JSON form of this type. By default uses the runtime value.

• getColumnType(prop: EntityProperty, platform: Platform): string

  Gets the SQL declaration snippet for a field of this type. By default returns columnType of given property.

• convertToDatabaseValueSQL(key: string, platform: Platform): string

  Converts a value from its JS representation to its database representation of this type. (added in v4.4.2)

• convertToJSValueSQL(key: string, platform: Platform): string

  Modifies the SQL expression (identifier, parameter) to convert to a JS value. (added in v4.4.2)

• compareAsType(): string

  How should the raw database values be compared? Used in EntityComparator.Possible values: string | number | boolean | date | any | buffer | array.

• ensureComparable(): boolean

  When a value is hydrated, we convert it back to the database value to ensure comparability, as often the raw database response is not the same as the convertToDatabaseValue result. This allows to disable the additional conversion in case you know it is not needed.

import { Type, Platform, EntityProperty, ValidationError } from '@mikro-orm/core';

export class DateType extends Type<Date, string> {

  convertToDatabaseValue(value: Date | string | undefined, platform: Platform): string {
    if (value instanceof Date) {
      return value.toISOString().substr(0, 10);
    }

    if (!value || value.toString().match(/^\d{4}-\d{2}-\d{2}$/)) {
      return value as string;
    }

    throw ValidationError.invalidType(DateType, value, 'JS');
  }

  convertToJSValue(value: Date | string | undefined, platform: Platform): Date {
    if (!value || value instanceof Date) {
      return value as Date;
    }

    const date = new Date(value);

    if (date.toString() === 'Invalid Date') {
      throw ValidationError.invalidType(DateType, value, 'database');
    }

    return date;
  }

  getColumnType(prop: EntityProperty, platform: Platform) {
    return `date(${prop.length})`;
  }

}

Then you can use this type when defining your entity properties:

@Entity()
export class FooBar {

  @PrimaryKey()
  id!: number;

  @Property()
  name!: string;

  @Property({ type: DateType, length: 3 })
  born?: Date;

}

If our type implementation is stateful, e.g. if we want the type to behave differently for each property, we can use customType option and provide an instance of the type:

@Property({ customType: new MyDateType('DD-MM-YYYY') })
born?: string;

Advanced example - PointType and WKT

In this example we will combine mapping values via database as well as during runtime.

The Point type is part of the Spatial extension of MySQL and enables you to store a single location in a coordinate space by using x and y coordinates. You can use the Point type to store a longitude/latitude pair to represent a geographic location.

First let's define the Point class that will be used to represent the value during runtime:

export class Point {

  constructor(
    public latitude: number,
    public longitude: number,
  ) {
  }

}

Then the mapping type:

export class PointType extends Type<Point | undefined, string | undefined> {

  convertToDatabaseValue(value: Point | undefined): string | undefined {
    if (!value) {
      return value;
    }

    return `point(${value.latitude} ${value.longitude})`;
  }

  convertToJSValue(value: string | undefined): Point | undefined {
    const m = value?.match(/point\((-?\d+(\.\d+)?) (-?\d+(\.\d+)?)\)/i);

    if (!m) {
      return undefined;
    }

    return new Point(+m[1], +m[3]);
  }

  convertToJSValueSQL(key: string) {
    return `ST_AsText(${key})`;
  }

  convertToDatabaseValueSQL(key: string) {
    return `ST_PointFromText(${key})`;
  }

  getColumnType(): string {
    return 'point';
  }

}

Now let's define an entity:

@Entity()
export class Location {

  @PrimaryKey()
  id!: number;

  @Property({ type: PointType })
  point?: Point;

}

...and use it:

const loc = new Location();
loc.point = new Point(1.23, 4.56);
await em.persist(loc).flush();
em.clear();

const loc1 = await em.findOneOrFail(Location, loc.id);

// update it
loc1.point = new Point(2.34, 9.87);
await em.flush();

This will result in following queries:

begin
insert into `location` (`point`) values (ST_PointFromText('point(1.23 4.56)'))
commit

select `e0`.*, ST_AsText(`e0`.point) as point from `location` as `e0` where `e0`.`id` = ? limit ?

begin
update `location` set `point` = ST_PointFromText('point(2.34 9.87)') where `id` = ?
commit

We do a 2-step conversion here. In the first step, we convert the Point object into a string representation before saving to the database (in the convertToDatabaseValue method) and back into an object after fetching the value from the database (in the convertToJSValue method).

The format of the string representation format is called Well-known text (WKT). The advantage of this format is, that it is both human readable and parsable by MySQL.

Internally, MySQL stores geometry values in a binary format that is not identical to the WKT format. So, we need to let MySQL transform the WKT representation into its internal format.

This is where the convertToJSValueSQL and convertToDatabaseValueSQL methods come into play.

This methods wrap a sql expression (the WKT representation of the Point) into MySQL functions ST_PointFromText and ST_AsText which convert WKT strings to and from the internal format of MySQL.

When using DQL queries, the convertToJSValueSQL and convertToDatabaseValueSQL methods only apply to identification variables and path expressions in SELECT clauses. Expressions in WHERE clauses are not wrapped!

Types provided by MikroORM

There are few types provided by MikroORM. All of them aim to provide similar experience among all the drivers, even if the particular feature is not supported out of box by the driver.

Since v5, we can also use the type map exported from the core package. It contains a map of all mapped types provided by the ORM, allowing autocomplete.

import { Property, types } from '@mikro-orm/core';

@Property({ type: types.bigint, nullable: true })
largeNumber?: string; // bigints are mapped to strings so we don't loose precision

Same map is also exported shortcut t.

The map is defined as follows:

export const types = {
  date: DateType,
  time: TimeType,
  datetime: DateTimeType,
  bigint: BigIntType,
  blob: BlobType,
  uint8array: Uint8ArrayType,
  array: ArrayType,
  enumArray: EnumArrayType,
  enum: EnumType,
  json: JsonType,
  integer: IntegerType,
  smallint: SmallIntType,
  tinyint: TinyIntType,
  mediumint: MediumIntType,
  float: FloatType,
  double: DoubleType,
  boolean: BooleanType,
  decimal: DecimalType,
  string: StringType,
  uuid: UuidType,
  text: TextType,
};

ArrayType

In PostgreSQL and MongoDB, it uses native arrays, otherwise it concatenates the values into string separated by commas. This means that you can't use values that contain comma with the ArrayType ( but you can create custom array type that will handle this case, e.g. by using different separator).

By default, array of strings is returned from the type. You can also have arrays of numbers or other data types - to do so, you will need to implement custom hydrate method that is used for converting the array values to the right type.

ArrayType will be used automatically if type is set to array (default behaviour of reflect-metadata) or string[] or number[] (either manually or via ts-morph). In case of number[] it will automatically handle the conversion to numbers. This means that the following examples would both have the ArrayType used automatically (but with reflect-metadata we would have a string array for both unless we specify the type manually as `type: 'number[]')

@Property({ type: ArrayType, nullable: true })
stringArray?: string[];

@Property({ type: new ArrayType(i => +i), nullable: true })
numericArray?: number[];

BigIntType

You can use BigIntType to support bigints. By default, it will represent the value as a string.

@PrimaryKey({ type: BigIntType })
id: string;

BlobType

Blob type can be used to store binary data in the database.

BlobType will be used automatically if you specify the type hint as Buffer. This means that the following example should work even without the explicit type: BlobType option (with both reflect-metadata and ts-morph providers).

@Property({ type: BlobType, nullable: true })
blob?: Buffer;

Uint8ArrayType

Uint8Array type can be used to store binary data in the database.

Uint8ArrayType will be used automatically if you specify the type hint as Uint8Array. This means that the following example should work even without the explicit type: Uint8ArrayType option (with both reflect-metadata and ts-morph providers).

@Property({ type: Uint8ArrayType, nullable: true })
blob?: Uint8Array;

JsonType

To store objects we can use JsonType. As some drivers are handling objects automatically and some don't, this type will handle the serialization in a driver independent way (calling parse and stringify only when needed).

@Property({ type: JsonType, nullable: true })
object?: { foo: string; bar: number };

DateType

To store dates without time information, we can use DateType. It does use date column type and maps it to the Date object.

@Property({ type: DateType, nullable: true })
born?: Date;

TimeType

As opposed to the DateType, to store only the time information, we can use TimeType. It will use the time column type, the runtime type is string.

@Property({ type: TimeType, nullable: true })
bornTime?: string;