UNPKG

undeexcepturi

Version:

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, PostgreSQL and SQLite databases as well as usage with vanilla JavaScript.

157 lines (112 loc) 3.54 kB
import { Entity, ManyToOne, MikroORM, PrimaryKey, Property } from '@mikro-orm/core'; import { PostgreSqlDriver } from '@mikro-orm/postgresql'; @Entity({ tableName: 'author' }) export class Author0 { @PrimaryKey() id!: number; @Property() name!: string; } @Entity({ tableName: 'author' }) export class Author1 { @PrimaryKey() pk!: number; @Property() name!: string; } @Entity({ tableName: 'book' }) export class Book0 { @PrimaryKey() id!: number; @ManyToOne(() => Author0) author1!: Author0; @ManyToOne(() => Author0) author2!: Author0; @ManyToOne(() => Book0, { nullable: true }) basedOn?: Book0; } @Entity({ tableName: 'book' }) export class Book11 { @PrimaryKey() id!: number; @ManyToOne(() => Author0) author1!: Author0; } @Entity({ tableName: 'book' }) export class Book1 { @PrimaryKey() id!: number; @ManyToOne(() => Author1, { name: 'author1_id' }) author1!: Author1; @ManyToOne(() => Author1, { name: 'author2_id' }) author2!: Author1; @ManyToOne(() => Book1, { nullable: true }) basedOn?: Book1; } @Entity({ tableName: 'book' }) export class Book2 { @PrimaryKey() id!: number; @ManyToOne(() => Author1) author1!: Author1; @ManyToOne(() => Author1) author2!: Author1; @ManyToOne(() => Book2, { nullable: true }) basedOn?: Book2; } @Entity({ tableName: 'book' }) export class Book3 { @PrimaryKey() id!: number; @ManyToOne(() => Author1) author1!: Author1; } describe('dropping tables with FKs in postgres', () => { test('schema generator removes stale FKs on target table dropping 1', async () => { const orm = await MikroORM.init({ entities: [Author0, Book0], dbName: `mikro_orm_test_fk_diffing`, driver: PostgreSqlDriver, }); await orm.schema.ensureDatabase(); await orm.schema.execute('drop table if exists author cascade'); await orm.schema.execute('drop table if exists book cascade'); await orm.schema.createSchema(); orm.getMetadata().reset('Author0'); orm.getMetadata().reset('Book0'); await orm.discoverEntity([Author1, Book1]); const diff1 = await orm.schema.getUpdateSchemaSQL({ wrap: false }); expect(diff1).toMatchSnapshot(); await orm.schema.execute(diff1); orm.getMetadata().reset('Book1'); await orm.discoverEntity(Book2); const diff2 = await orm.schema.getUpdateSchemaSQL({ wrap: false }); expect(diff2).toMatchSnapshot(); await orm.schema.execute(diff2); orm.getMetadata().reset('Book2'); await orm.discoverEntity(Book3); orm.getMetadata().reset('Author0'); const diff3 = await orm.schema.getUpdateSchemaSQL({ wrap: false }); expect(diff3).toMatchSnapshot(); await orm.schema.execute(diff3); await orm.close(true); }); test('schema generator removes stale FKs on target table dropping 2', async () => { const orm = await MikroORM.init({ entities: [Author0, Book0], dbName: `mikro_orm_test_fk_diffing`, driver: PostgreSqlDriver, }); await orm.schema.ensureDatabase(); await orm.schema.execute('drop table if exists author cascade'); await orm.schema.execute('drop table if exists book cascade'); await orm.schema.createSchema(); orm.getMetadata().reset('Book0'); await orm.discoverEntity(Book11); orm.getMetadata().reset('Author0'); const diff1 = await orm.schema.getUpdateSchemaSQL({ wrap: false }); expect(diff1).toMatchSnapshot(); await orm.schema.execute(diff1); await orm.close(true); }); });