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How to Use Rcs Managed Databases for MySQL with NodeJS Print

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Introduction

Node.js is a Javascript runtime environment that allows you to build highly scalable applications with support for popular relational database systems such as MySQL. You can integrate a Rcs Managed Database for MySQL with your Node.js application to make it highly available and scalable.

Follow the steps in this guide to use a Rcs Managed Database for MySQL with Node.js. You will create a sample Node.js project, and use the mysql2 library to connect to the deployed database. In addition, execute queries to view the database data using your application.

Prerequisites

Before you begin, make sure you:

Set Up the Project

  1. Create a new project directory

     $ mkdir project
  2. Switch to the new project directory.

     $ cd project
  3. Using npm, initialize your project

     $ npm init -y

    The above command creates a new package.json file in the directory that contains all important information about the project including the metadata and project dependencies

  4. Install the project dependencies

     $ npm i mysql2 dotenv

    The above command installs the mysql2 package that allows Node.js application to interact with MySQL databases. The dotenv package loads environment variables such as database connections from a .env file to your process.env object.

  5. View the package.json file and verify that all dependency packages are available to the project

     $ cat package.json

    Your output should look like the one below with different version numbers:

     "dependencies": {
         "dotenv": "^16.3.1",
         "mysql2": "^3.6.0"
     }
  6. Create the main project index.js file

     $ touch index.js
  7. Using a text editor such as Nano, create a new .env file to store the database information values

     $ nano .env
  8. Add the following variables to the file. Replace the example values with your actual Rcs Managed Database for MySQL details

     DB_HOSTNAME = example.prod.vultrdb.com
     DB_PORT = 167521
     DB_USER = example-user
     DB_PASSWORD = strong-passwrd
     DB_NAME = example-db

    Save and close the file.

Connect to the Database

To connect your Node.js application to the MySQL database, use the mysql2 library to use your .env file details as described in the steps below.

  1. Open and edit the index.js file

     $ nano index.js
  2. Add the following code to the file

    • Import the project dependencies

        require('dotenv').config()
        const mysql = require('mysql2');

    The above code imports mysql2 module, and the dotenv module that reads the contents of your .env file, then forwards the contents to process.env.

    • Create a new object to store database connection details from the process.env variable.

        const dbConfig = {
            host: process.env.DB_HOSTNAME,
            port: process.env.DB_PORT,
            user: process.env.DB_USER,
            password: process.env.DB_PASSWORD,
            database: process.env.DB_NAME,
        };
    • Create a database connection connectToDB() method

        let db;
        const connectToDB = async () => {
            const pool = mysql.createPool(dbConfig);
            const poolPromise = pool.promise();
      
            return poolPromise;
        }

    In the above code, the createPool() connection method creates a pool of connections to the database. The mysql2 module supports the following two methods:

    • createConnection(): Creates one-time connection to execute queries. One connection can only handle one query at a time. The Next time a query executes, the application re-establishes a connection to the database again

    • createPool(): Creates a pool of connections to the database. Connection pooling enhances the performance of executing the commands on a database. Instead of establishing a new connection every time the application only executes a query and gets a connection from the pool

    Further, pool.promise() wraps the pool object into a promise-based version, and provides a version of the pool that returns promises. This makes it possible to use the async/await syntax for cleaner, and more readable asynchronous code

    • Create the main() method to call the connectToDB() function with a Connected to Database result when successful

        const main = async () => {
            db = await connectToDB();
            console.log('Connected to database');
        }
    • Call the main() method at the end of the file

        main();
    • Save and close the file

    • Your complete index.js should look like the one below:

        require('dotenv').config()
        const mysql = require('mysql2');
        const dbConfig = {
            host: process.env.DB_HOSTNAME,
            port: process.env.DB_PORT,
            user: process.env.DB_USER,
            password: process.env.DB_PASSWORD,
            database: process.env.DB_NAME,
        };
        let db;
        const connectToDB = async () => {
            const pool = mysql.createPool(dbConfig);
            const poolPromise = pool.promise();
      
            return poolPromise;
        }
        const main = async () => {
            db = await connectToDB();
            console.log('Connected to database');
        }
      
        main();

    The above index.js file connects your Node.js application to the deployed MySQL database on Rcs and assigns the promise-based pool to the db variable which supports CRUD operations.

  3. Run the index.js file to start the Node.js application

     $ node index.js

    Output:

     Connected to database

Interact with the MySQL Database Using Node.js

To test your Node.js application functionality, create a new table in the connected database and perform CRUD operations using SQL queries as described in the steps below.

Create a New Table

  1. Open and edit the index.js file

     $ nano index.js
  2. Edit the connectToDB() method before return poolPromise;, and include a query that creates a new posts table using the CREATE TABLE IF NOT EXISTS SQL statement

     const connectToDB = async () => {
         const pool = mysql.createPool(dbConfig);
         const poolPromise = pool.promise();
    
         //SQL query
    
         await poolPromise.query("CREATE TABLE IF NOT EXISTS `posts` (`id` int NOT NULL AUTO_INCREMENT, `title` varchar(255) NOT NULL, `body` varchar(255) NOT NULL, `author` varchar(255), PRIMARY KEY (`id`) );")
    
         const [allPosts, fields] = await poolPromise.query('SELECT * FROM posts;');
         console.log(`Posts Table: ${JSON.stringify({ allPosts, fields })}`);
    
         return poolPromise;
     }

    Save and close the file.

    The above code creates a new MySQL table with the following columns:

    • id: Automatically increments every new record with unique values using it's Primary Key
    • title and body columns accept all characters (VARCHAR) and can store up to 255 characters
    • author: Supports all characters with up to 255 characters

    The const [allPosts, fields] = await poolPromise.query('SELECT * FROM posts;') query selects all records from the posts table. The query method returns an array where the first element is an array of rows from the query (assigned to allPosts), and the second element is an array of field metadata (assigned to fields).

  3. Run the application

     $ node index.js

    Your output should look like the one below:

     34,0]},"_clientEncoding":"utf8","_catalogLength":3,"_catalogStart":167,"_schemaLength":9,"_schemaStart":171,"_tableLength":5,"_tableStart":181,"_orgTableLength":5,"_orgTableStart":187,"_orgNameLength":6,"_orgNameStart":200,"characterSet":224,"encoding":"utf8","name":"author","columnLength":1020,"columnType":253,"type":253,"flags":0,"decimals":0}]}
    
     Connected to database

    Press Ctrl + C to stop the application

Create a New Post

  1. Edit the index.js file

     $ nano index.js
  2. Add a new createNewPost() method to that inserts a new post into the posts table

     const createNewPost = async (postData) => {
         const { title, body, author } = postData;
         const [newPost, fields] = await db.query('INSERT INTO posts (title, body, author) VALUES (?,?,?);', [title, body, author]);
         console.log(`New post created: ${JSON.stringify(newPost)}`);
     }

    Call createNewPost() within the main() method along with some dummy data to create a new post

     await createNewPost({ title: "Test Title", body: "This is the return of test body.", author: "Tommy Shelby" });

    Save and close the file.

  3. Run the application

     $ node index.js

    Your output should look like the one below:

     New post created: {"fieldCount":0,"affectedRows":1,"insertId":4,"info":"","serverStatus":2,"warningStatus":0,"changedRows":0}

    Press Ctrl + C to stop the application

Get a Post by ID

  1. Edit the application file

     $ nano index.js
  2. Create a new getPostById() method to fetch the data of a single post

     const getPostById = async (postId) => {
         const [post, fields] = await db.query('SELECT * FROM posts WHERE id=?;', [postId]);
         console.log(`Post: ${JSON.stringify(post)}`);
     }

    Within the main() method, call getPostById() with some the postId to fetch post data

     await getPostById(1);
  3. Run the application

     $ node index.js

    Output:

     Post: [{"id":1,"title":"Test Title","body":"This is the return of test body.","author":"Tommy Shelby"}]

    Press Ctrl + C to stop the application

Update a Post by ID

  1. Edit the index.js file

     $ nano index.js
  2. Create a new updatePostById() method to update the posts table.

     const updatePostById = async (postId, postData) => {
         const { title, body } = postData;
         const [updatePost, fields] = await db.query('UPDATE posts SET title=?, body=? WHERE id=?;', [title, body, postId]);
         console.log(`Post updated: ${JSON.stringify(updatePost)}`);
     }

    Within the main() method, call updatePostById() along with an some existing post id and the updated data. For example:

     await updatePostById(1, { title: 'Updated Title', body: "This is updated post body" });
  3. Run the application

     $ node index.js

    Output:

     Post updated: {"fieldCount":0,"affectedRows":1,"insertId":0,"info":"Rows matched: 1  Changed: 0  Warnings: 0","serverStatus":2,"warningStatus":0,"changedRows":0}

    Press Ctrl + C to stop the application

Delete a Post by ID

  1. Edit the index.js application file

     $ nano index.js
  2. Create a new deletePostById() method to delete a post by ID

     const deletePostById = async (postId) => {
         const [post, fields] = await db.query('DELETE FROM posts WHERE id=?;', [postId]);
         console.log(`Post deleted : ${JSON.stringify(post)}`);
     }

    In the main() method, call deletePostById() with some the postId to delete. For example, delete the post with ID 2

     await deletePostById(2);
  3. Run the application

     $ node index.js

    Output:

     Post deleted : {"fieldCount":0,"affectedRows":1,"insertId":0,"info":"","serverStatus":2,"warningStatus":0,"changedRows":0}

    Press Ctrl + C to stop the application

Conclusion

You have integrated a Rcs Managed Database for MySQL with your Node.js application using the mysql2 library. Using the integration, you can create efficient and scalable backend solutions that meet the demands of modern applications. For more information on how to use the mysql2 Node.js library, visit the documentation page.

More Information

To implement more solutions using your Rcs Managed Database for MySQL, visit the following resources:

Introduction Node.js is a Javascript runtime environment that allows you to build highly scalable applications with support for popular relational database systems such as MySQL. You can integrate a Rcs Managed Database for MySQL with your Node.js application to make it highly available and scalable. Follow the steps in this guide to use a Rcs Managed Database for MySQL with Node.js. You will create a sample Node.js project, and use the mysql2 library to connect to the deployed database. In addition, execute queries to view the database data using your application. Prerequisites Before you begin, make sure you: Deploy a Rcs Managed Database for MySQL cluster Install Node.js version 16 or higher using NVMon your development machine Have some basic Node.js and MySQL usage skills Set Up the Project Create a new project directory $ mkdir project Switch to the new project directory. $ cd project Using npm, initialize your project $ npm init -y The above command creates a new package.json file in the directory that contains all important information about the project including the metadata and project dependencies Install the project dependencies $ npm i mysql2 dotenv The above command installs the mysql2 package that allows Node.js application to interact with MySQL databases. The dotenv package loads environment variables such as database connections from a .env file to your process.env object. View the package.json file and verify that all dependency packages are available to the project $ cat package.json Your output should look like the one below with different version numbers: "dependencies": { "dotenv": "^16.3.1", "mysql2": "^3.6.0" } Create the main project index.js file $ touch index.js Using a text editor such as Nano, create a new .env file to store the database information values $ nano .env Add the following variables to the file. Replace the example values with your actual Rcs Managed Database for MySQL details DB_HOSTNAME = example.prod.vultrdb.com DB_PORT = 167521 DB_USER = example-user DB_PASSWORD = strong-passwrd DB_NAME = example-db Save and close the file. Connect to the Database To connect your Node.js application to the MySQL database, use the mysql2 library to use your .env file details as described in the steps below. Open and edit the index.js file $ nano index.js Add the following code to the file Import the project dependencies require('dotenv').config() const mysql = require('mysql2'); The above code imports mysql2 module, and the dotenv module that reads the contents of your .env file, then forwards the contents to process.env. Create a new object to store database connection details from the process.env variable. const dbConfig = { host: process.env.DB_HOSTNAME, port: process.env.DB_PORT, user: process.env.DB_USER, password: process.env.DB_PASSWORD, database: process.env.DB_NAME, }; Create a database connection connectToDB() method let db; const connectToDB = async () => { const pool = mysql.createPool(dbConfig); const poolPromise = pool.promise(); return poolPromise; } In the above code, the createPool() connection method creates a pool of connections to the database. The mysql2 module supports the following two methods: createConnection(): Creates one-time connection to execute queries. One connection can only handle one query at a time. The Next time a query executes, the application re-establishes a connection to the database again createPool(): Creates a pool of connections to the database. Connection pooling enhances the performance of executing the commands on a database. Instead of establishing a new connection every time the application only executes a query and gets a connection from the pool Further, pool.promise() wraps the pool object into a promise-based version, and provides a version of the pool that returns promises. This makes it possible to use the async/await syntax for cleaner, and more readable asynchronous code Create the main() method to call the connectToDB() function with a Connected to Database result when successful const main = async () => { db = await connectToDB(); console.log('Connected to database'); } Call the main() method at the end of the file main(); Save and close the file Your complete index.js should look like the one below: require('dotenv').config() const mysql = require('mysql2'); const dbConfig = { host: process.env.DB_HOSTNAME, port: process.env.DB_PORT, user: process.env.DB_USER, password: process.env.DB_PASSWORD, database: process.env.DB_NAME, }; let db; const connectToDB = async () => { const pool = mysql.createPool(dbConfig); const poolPromise = pool.promise(); return poolPromise; } const main = async () => { db = await connectToDB(); console.log('Connected to database'); } main(); The above index.js file connects your Node.js application to the deployed MySQL database on Rcs and assigns the promise-based pool to the db variable which supports CRUD operations. Run the index.js file to start the Node.js application $ node index.js Output: Connected to database Interact with the MySQL Database Using Node.js To test your Node.js application functionality, create a new table in the connected database and perform CRUD operations using SQL queries as described in the steps below. Create a New Table Open and edit the index.js file $ nano index.js Edit the connectToDB() method before return poolPromise;, and include a query that creates a new posts table using the CREATE TABLE IF NOT EXISTS SQL statement const connectToDB = async () => { const pool = mysql.createPool(dbConfig); const poolPromise = pool.promise(); //SQL query await poolPromise.query("CREATE TABLE IF NOT EXISTS `posts` (`id` int NOT NULL AUTO_INCREMENT, `title` varchar(255) NOT NULL, `body` varchar(255) NOT NULL, `author` varchar(255), PRIMARY KEY (`id`) );") const [allPosts, fields] = await poolPromise.query('SELECT * FROM posts;'); console.log(`Posts Table: ${JSON.stringify({ allPosts, fields })}`); return poolPromise; } Save and close the file. The above code creates a new MySQL table with the following columns: id: Automatically increments every new record with unique values using it's Primary Key title and body columns accept all characters (VARCHAR) and can store up to 255 characters author: Supports all characters with up to 255 characters The const [allPosts, fields] = await poolPromise.query('SELECT * FROM posts;') query selects all records from the posts table. The query method returns an array where the first element is an array of rows from the query (assigned to allPosts), and the second element is an array of field metadata (assigned to fields). Run the application $ node index.js Your output should look like the one below: 34,0]},"_clientEncoding":"utf8","_catalogLength":3,"_catalogStart":167,"_schemaLength":9,"_schemaStart":171,"_tableLength":5,"_tableStart":181,"_orgTableLength":5,"_orgTableStart":187,"_orgNameLength":6,"_orgNameStart":200,"characterSet":224,"encoding":"utf8","name":"author","columnLength":1020,"columnType":253,"type":253,"flags":0,"decimals":0}]} Connected to database Press CTRL + C to stop the application Create a New Post Edit the index.js file $ nano index.js Add a new createNewPost() method to that inserts a new post into the posts table const createNewPost = async (postData) => { const { title, body, author } = postData; const [newPost, fields] = await db.query('INSERT INTO posts (title, body, author) VALUES (?,?,?);', [title, body, author]); console.log(`New post created: ${JSON.stringify(newPost)}`); } Call createNewPost() within the main() method along with some dummy data to create a new post await createNewPost({ title: "Test Title", body: "This is the return of test body.", author: "Tommy Shelby" }); Save and close the file. Run the application $ node index.js Your output should look like the one below: New post created: {"fieldCount":0,"affectedRows":1,"insertId":4,"info":"","serverStatus":2,"warningStatus":0,"changedRows":0} Press CTRL + C to stop the application Get a Post by ID Edit the application file $ nano index.js Create a new getPostById() method to fetch the data of a single post const getPostById = async (postId) => { const [post, fields] = await db.query('SELECT * FROM posts WHERE id=?;', [postId]); console.log(`Post: ${JSON.stringify(post)}`); } Within the main() method, call getPostById() with some the postId to fetch post data await getPostById(1); Run the application $ node index.js Output: Post: [{"id":1,"title":"Test Title","body":"This is the return of test body.","author":"Tommy Shelby"}] Press CTRL + C to stop the application Update a Post by ID Edit the index.js file $ nano index.js Create a new updatePostById() method to update the posts table. const updatePostById = async (postId, postData) => { const { title, body } = postData; const [updatePost, fields] = await db.query('UPDATE posts SET title=?, body=? WHERE id=?;', [title, body, postId]); console.log(`Post updated: ${JSON.stringify(updatePost)}`); } Within the main() method, call updatePostById() along with an some existing post id and the updated data. For example: await updatePostById(1, { title: 'Updated Title', body: "This is updated post body" }); Run the application $ node index.js Output: Post updated: {"fieldCount":0,"affectedRows":1,"insertId":0,"info":"Rows matched: 1 Changed: 0 Warnings: 0","serverStatus":2,"warningStatus":0,"changedRows":0} Press CTRL + C to stop the application Delete a Post by ID Edit the index.js application file $ nano index.js Create a new deletePostById() method to delete a post by ID const deletePostById = async (postId) => { const [post, fields] = await db.query('DELETE FROM posts WHERE id=?;', [postId]); console.log(`Post deleted : ${JSON.stringify(post)}`); } In the main() method, call deletePostById() with some the postId to delete. For example, delete the post with ID 2 await deletePostById(2); Run the application $ node index.js Output: Post deleted : {"fieldCount":0,"affectedRows":1,"insertId":0,"info":"","serverStatus":2,"warningStatus":0,"changedRows":0} Press CTRL + C to stop the application Conclusion You have integrated a Rcs Managed Database for MySQL with your Node.js application using the mysql2 library. Using the integration, you can create efficient and scalable backend solutions that meet the demands of modern applications. For more information on how to use the mysql2 Node.js library, visit the documentation page. More Information To implement more solutions using your Rcs Managed Database for MySQL, visit the following resources: How to Migrate a Local MySQL Database to a Rcs Managed Database How to Use Rcs Managed Databases for MySQL in Rust How to use Rcs Managed Databases for MySQL with WordPress on Ubuntu 20.04 How to Connect to Rcs Managed Databases for MySQL with Popular Client Apps Rcs Managed Databases Quickstart Rcs Managed Databases for MySQL Reference Guide

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