typeorm
Version:
Data-Mapper ORM for TypeScript and ES2021+. Supports MySQL/MariaDB, PostgreSQL, MS SQL Server, Oracle, SAP HANA, SQLite, MongoDB databases.
67 lines (65 loc) • 3 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.MongoSchemaBuilder = void 0;
const SqlInMemory_1 = require("../driver/SqlInMemory");
/**
* Creates complete tables schemas in the database based on the entity metadatas.
*
* Steps how schema is being built:
* 1. load list of all tables with complete column and keys information from the db
* 2. drop all (old) foreign keys that exist in the table, but does not exist in the metadata
* 3. create new tables that does not exist in the db, but exist in the metadata
* 4. drop all columns exist (left old) in the db table, but does not exist in the metadata
* 5. add columns from metadata which does not exist in the table
* 6. update all exist columns which metadata has changed
* 7. update primary keys - update old and create new primary key from changed columns
* 8. create foreign keys which does not exist in the table yet
* 9. create indices which are missing in db yet, and drops indices which exist in the db, but does not exist in the metadata anymore
*/
class MongoSchemaBuilder {
// -------------------------------------------------------------------------
// Constructor
// -------------------------------------------------------------------------
constructor(connection) {
this.connection = connection;
}
// -------------------------------------------------------------------------
// Public Methods
// -------------------------------------------------------------------------
/**
* Creates complete schemas for the given entity metadatas.
*/
async build() {
const queryRunner = this.connection.createQueryRunner();
const promises = [];
this.connection.entityMetadatas.forEach((metadata) => {
metadata.indices.forEach((index) => {
const options = Object.assign({}, {
name: index.name,
unique: index.isUnique,
sparse: index.isSparse,
background: index.isBackground,
}, index.expireAfterSeconds === undefined
? {}
: { expireAfterSeconds: index.expireAfterSeconds });
promises.push(queryRunner.createCollectionIndex(metadata.tableName, index.columnNamesWithOrderingMap, options));
});
metadata.uniques.forEach((unique) => {
const options = {
name: unique.name,
unique: true,
};
promises.push(queryRunner.createCollectionIndex(metadata.tableName, unique.columnNamesWithOrderingMap, options));
});
});
await Promise.all(promises);
}
/**
* Returns query to be executed by schema builder.
*/
log() {
return Promise.resolve(new SqlInMemory_1.SqlInMemory());
}
}
exports.MongoSchemaBuilder = MongoSchemaBuilder;
//# sourceMappingURL=MongoSchemaBuilder.js.map