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// This sample program demonstrates two different approaches to load data values

// from a CSV file and insert those data values into a database table.

// This sample program requires the airports.csv file to be located in the current directory.

// Run "npm install csv" to install the CSV module

import * as fs from "fs";

import { parse } from "csv-parse/sync";

// @ts-ignore

import * as teradatasql from "teradatasql";

const con: teradatasql.TeradataConnection = teradatasql.connect({ host: "whomooz", user: "guest", password: "please" });

try {

const cur: teradatasql.TeradataCursor = con.cursor();

try {

cur.execute("create volatile table Airports (City varchar(100), Airport varchar(100), AirportCode varchar(10)) on commit preserve rows");

console.log("Slower approach - use the csv module to parse data values from a CSV file");

const records: string[][] = parse(fs.readFileSync("airports.csv", { encoding: "utf-8" }));

cur.execute("insert into Airports (?, ?, ?)", records);

cur.execute("select AirportCode, Airport, City from Airports order by AirportCode");

console.log(cur.fetchall());

cur.execute("delete from Airports");

console.log("Faster approach - the driver loads data values from a CSV file");

cur.execute("{fn teradata_read_csv(airports.csv)}insert into Airports (?, ?, ?)");

cur.execute("select AirportCode, Airport, City from Airports order by AirportCode");

console.log(cur.fetchall());

} finally {

cur.close();

}

} finally {

con.close();

}