Separating Entity Definition
Defining Schemas
You can define an entity and its columns right in the model, using decorators. But some people prefer to define an entity and its columns inside separate files which are called "entity schemas" in TypeORM.
Simple definition example:
import {EntitySchema} from "typeorm";
export const CategoryEntity = new EntitySchema({
name: "category",
columns: {
id: {
type: Number,
primary: true,
generated: true
},
name: {
type: String
}
}
});
Example with relations:
import {EntitySchema} from "typeorm";
export const PostEntity = new EntitySchema({
name: "post",
columns: {
id: {
type: Number,
primary: true,
generated: true
},
title: {
type: String
},
text: {
type: String
}
},
relations: {
categories: {
type: "many-to-many",
target: "category" // CategoryEntity
}
}
});
Complex example:
import {EntitySchema} from "typeorm";
export const PersonSchema = new EntitySchema({
name: "person",
columns: {
id: {
primary: true,
type: "int",
generated: "increment"
},
firstName: {
type: String,
length: 30
},
lastName: {
type: String,
length: 50,
nullable: false
},
age: {
type: Number,
nullable: false
}
},
checks: [
{ expression: `"firstName" <> 'John' AND "lastName" <> 'Doe'` },
{ expression: `"age" > 18` }
],
indices: [
{
name: "IDX_TEST",
unique: true,
columns: [
"firstName",
"lastName"
]
}
],
uniques: [
{
name: "UNIQUE_TEST",
columns: [
"firstName",
"lastName"
]
}
]
});
If you want to make your entity typesafe, you can define a model and specify it in schema definition:
import {EntitySchema} from "typeorm";
export interface Category {
id: number;
name: string;
}
export const CategoryEntity = new EntitySchema<Category>({
name: "category",
columns: {
id: {
type: Number,
primary: true,
generated: true
},
name: {
type: String
}
}
});
Extending Schemas
When using the Decorator
approach it is easy to extend
basic columns to an abstract class and simply extend this.
For example, your id
, createdAt
and updatedAt
columns may be defined in such a BaseEntity
. For more details, see
the documentation on concrete table inheritance.
When using the EntitySchema
approach, this is not possible. However, you can use the Spread Operator
(...
) to your
advantage.
Reconsider the Category
example from above. You may want to extract
basic column descriptions and reuse it across
your other schemas. This may be done in the following way:
import {EntitySchemaColumnOptions} from "typeorm";
export const BaseColumnSchemaPart = {
id: {
type: Number,
primary: true,
generated: true,
} as EntitySchemaColumnOptions,
createdAt: {
name: 'created_at',
type: 'timestamp with time zone',
createDate: true,
} as EntitySchemaColumnOptions,
updatedAt: {
name: 'updated_at',
type: 'timestamp with time zone',
updateDate: true,
} as EntitySchemaColumnOptions,
};
Now you can use the BaseColumnSchemaPart
in your other schema models, like this:
export const CategoryEntity = new EntitySchema<Category>({
name: "category",
columns: {
...BaseColumnSchemaPart,
// the CategoryEntity now has the defined id, createdAt, updatedAt columns!
// in addition, the following NEW fields are defined
name: {
type: String
}
}
});
Be sure to add the extended
columns also to the Category
interface (e.g., via export interface Category extend BaseEntity
).
Using Schemas to Query / Insert Data
Of course, you can use the defined schemas in your repositories or entity manager as you would use the decorators.
Consider the previously defined Category
example (with its Interface
and CategoryEntity
schema in order to get
some data or manipulate the database.
// request data
const categoryRepository = getRepository<Category>(CategoryEntity);
const category = await categoryRepository.findOne(1); // category is properly typed!
// insert a new category into the database
const categoryDTO = {
// note that the ID is autogenerated; see the schema above
name: 'new category',
};
const newCategory = await categoryRepository.save(categoryDTO);