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typeorm

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Data-Mapper ORM for TypeScript, ES7, ES6, ES5. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, MongoDB databases.

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"use strict"; 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