typeorm
Version:
Data-Mapper ORM for TypeScript, ES7, ES6, ES5. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, MongoDB databases.
99 lines (97 loc) • 5.38 kB
JavaScript
;
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
var __generator = (this && this.__generator) || function (thisArg, body) {
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
function verb(n) { return function (v) { return step([n, v]); }; }
function step(op) {
if (f) throw new TypeError("Generator is already executing.");
while (_) try {
if (f = 1, y && (t = y[op[0] & 2 ? "return" : op[0] ? "throw" : "next"]) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [0, t.value];
switch (op[0]) {
case 0: case 1: t = op; break;
case 4: _.label++; return { value: op[1], done: false };
case 5: _.label++; y = op[1]; op = [0]; continue;
case 7: op = _.ops.pop(); _.trys.pop(); continue;
default:
if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
if (t[2]) _.ops.pop();
_.trys.pop(); continue;
}
op = body.call(thisArg, _);
} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
}
};
Object.defineProperty(exports, "__esModule", { value: true });
var 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
*/
var MongoSchemaBuilder = /** @class */ (function () {
// -------------------------------------------------------------------------
// Constructor
// -------------------------------------------------------------------------
function MongoSchemaBuilder(connection) {
this.connection = connection;
}
// -------------------------------------------------------------------------
// Public Methods
// -------------------------------------------------------------------------
/**
* Creates complete schemas for the given entity metadatas.
*/
MongoSchemaBuilder.prototype.build = function () {
return __awaiter(this, void 0, void 0, function () {
var queryRunner, promises;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
queryRunner = this.connection.driver.createQueryRunner();
promises = [];
this.connection.entityMetadatas.forEach(function (metadata) {
metadata.indices.forEach(function (index) {
var options = { name: index.name, unique: index.isUnique, sparse: index.isSparse };
promises.push(queryRunner.createCollectionIndex(metadata.tableName, index.columnNamesWithOrderingMap, options));
});
});
return [4 /*yield*/, Promise.all(promises)];
case 1:
_a.sent();
return [2 /*return*/];
}
});
});
};
/**
* Returns query to be executed by schema builder.
*/
MongoSchemaBuilder.prototype.log = function () {
return Promise.resolve(new SqlInMemory_1.SqlInMemory());
};
return MongoSchemaBuilder;
}());
exports.MongoSchemaBuilder = MongoSchemaBuilder;
//# sourceMappingURL=MongoSchemaBuilder.js.map