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teradatasql

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"use strict"; // Copyright 2026 by Teradata Corporation. All rights reserved. var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { if (k2 === undefined) k2 = k; var desc = Object.getOwnPropertyDescriptor(m, k); if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { desc = { enumerable: true, get: function() { return m[k]; } }; } Object.defineProperty(o, k2, desc); }) : (function(o, m, k, k2) { if (k2 === undefined) k2 = k; o[k2] = m[k]; })); var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { Object.defineProperty(o, "default", { enumerable: true, value: v }); }) : function(o, v) { o["default"] = v; }); var __importStar = (this && this.__importStar) || function (mod) { if (mod && mod.__esModule) return mod; var result = {}; if (mod != null) for (var k in mod) if (k !== "default" && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k); __setModuleDefault(result, mod); return result; }; Object.defineProperty(exports, "__esModule", { value: true }); // This sample program demonstrates how to insert a batch of rows using a JSON file. // It also illustrates dual treatment of a nested JSON object: the raw JSON // string is stored verbatim in the "address" column, while the flattened // sub-field "city" is stored in a separate column. const fs = __importStar(require("fs")); // @ts-ignore const teradatasql = __importStar(require("teradatasql")); // Each record has three top-level keys: // id -- scalar integer // name -- scalar string // address -- nested object; its raw JSON string maps to the "address" column // and its sub-field "city" maps to the "city" column. const records = [ { id: 1, name: "Alice", address: { city: "Boston" } }, { id: 2, name: "Bob", address: { city: "Austin" } }, { id: 3, name: "Carol", address: { city: "Chicago" } }, { id: 4, name: "Dave", address: { city: "Denver" } }, { id: 5, name: "Erin", address: { city: "Eugene" } }, { id: 6, name: "Frank", address: { city: "Fresno" } }, { id: 7, name: "Grace", address: { city: "Houston" } }, { id: 8, name: "Hank", address: { city: "Irvine" } }, { id: 9, name: "Iris", address: { city: "Jacksonville" } }, ]; const con = teradatasql.connect({ host: "whomooz", user: "guest", password: "please" }); try { const cur = con.cursor(); try { cur.execute("create volatile table voltab (id integer, name varchar(20), address varchar(200), city varchar(20)) on commit preserve rows"); const sFileName = "dataBatchJs.json"; console.log(`Writing ${sFileName}`); fs.writeFileSync(sFileName, JSON.stringify(records)); try { // The INSERT column list (id, name, address, city) drives name-based matching: // ?1 -> id (scalar) // ?2 -> name (scalar) // ?3 -> address (raw JSON object string -- dual treatment) // ?4 -> city (flattened sub-field of address) console.log("Inserting data"); cur.execute(`{fn teradata_read_json(${sFileName})} insert into voltab (id, name, address, city) values (?, ?, ?, ?)`); } finally { fs.unlinkSync(sFileName); } cur.execute("select id, name, address, city from voltab order by 1"); console.log(cur.fetchall()); } finally { cur.close(); } } finally { con.close(); } //# sourceMappingURL=BatchInsertJSON.js.map