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How to import data from .CSV file into MySQL table using Node.js ?
  • Difficulty Level : Basic
  • Last Updated : 30 Jul, 2020

What is .CSV file?
The .CSV (Comma Separated Values) files are plain text files that contains a list of data separated by comma(,). It is a format best used for tabular data, row, and columns, exactly like a spreadsheet, just the difference is that the file is in the form of plain text. The idea of a CSV file is to perform export and import complex data from one application to another.

Note: Here, we are using sample.csv to demonstrate our program and procedure. In sample.csv we have stored the user’s Name, Age, Email, and City.

Data in sample.csv

Import CSV into MySQL using Node.js:

  1. Create a node.js project using “npm init” and save your .csv file in the same directory. 
  2. Install two packages “mysql” and “csvtojson” using the following command:
    npm i mysql csvtojson

    mysql driver: This is a node.js driver for mysql. It is written in JavaScript, that does not require compiling. We are using it to establish connection with our MYSQL database and perform queries.
    csvtojson: Its a csv parser to convert csv to json or column arrays.

  3. Now just create a file like index.js and write down the following code:




// Importing mysql and csvtojson packages
// Requiring module
const csvtojson = require('csvtojson');
const mysql = require("mysql");
  
// Database credentials
const hostname = "localhost",
    username = "root",
    password = "root",
    databsename = "csvtomysql"
  
  
// Establish connection to the database
let con = mysql.createConnection({
    host: hostname,
    user: username,
    password: password,
    database: databsename,
});
  
con.connect((err) => {
    if (err) return console.error(
            'error: ' + err.message);
  
    con.query("DROP TABLE sample"
        (err, drop) => {
  
        // Query to create table "sample"
        var createStatament = 
        "CREATE TABLE sample(Name char(50), " +
        "Email char(50), Age int, city char(30))"
  
        // Creating table "sample"
        con.query(createStatament, (err, drop) => {
            if (err)
                console.log("ERROR: ", err);
        });
    });
});
  
// CSV file name
const fileName = "sample.csv";
  
csvtojson().fromFile(fileName).then(source => {
  
    // Fetching the data from each row 
    // and inserting to the table "sample"
    for (var i = 0; i < source.length; i++) {
        var Name = source[i]["Name"],
            Email = source[i]["Email"],
            Age = source[i]["Age"],
            City = source[i]["City"]
  
        var insertStatement = 
        `INSERT INTO sample values(?, ?, ?, ?)`;
        var items = [Name, Email, Age, City];
  
        // Inserting data of current row
        // into database
        con.query(insertStatement, items, 
            (err, results, fields) => {
            if (err) {
                console.log(
    "Unable to insert item at row ", i + 1);
                return console.log(err);
            }
        });
    }
    console.log(
"All items stored into database successfully");
});

Run index.js file using the following command:

node index.js

Output:

Output of the program in console

Sample table in MYSQL database

Explanation of code:

  • At the first two lines of code we Import  mysql and csvtojson.
    const csvtojson = require('csvtojson');
    const mysql = require("mysql")
  • Line 10 – 23 : We created a connection to our database.
    hostname = "localhost", 
    username = "root",         // Username of Mysql local server 
    password = "root",         // Password of Mysql local server
    databsename = "csvtomysql" // Database we are connecting to
  • Line 23 – 38: We have connected to our database “csvtomysql” and created table named “sample” with desired fields according to our sample.csv file.
  • Line 42 – 64 : We fetched sample.csv located in current directory and converted all the data to JSON.
    • At line 43 all data in sample.csv is converted to JSON and stored in variable “source”
    • Then we loop through each each row and extracted Name, Email, Age and City value from that row. 
      • At line 53, we created a array of values in Name, Email, Age and City i.e. the column data of ith row.
      • Then we inserted that data into table using  query “INSERT INTO sample values(Name, Email, Age, City)”
      • At line 62 we are showing the inserted data to console. 

So, this way we can import any data form a .csv file to our MYSQL database.




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