Node.js tutorial for AWS Cloud9 - AWS Cloud9

Node.js tutorial for AWS Cloud9

This tutorial enables you to run some Node.js scripts in an AWS Cloud9 development environment.

Following this tutorial and creating this sample might result in charges to your AWS account. These include possible charges for services such as Amazon EC2 and Amazon S3. For more information, see Amazon EC2 Pricing and Amazon S3 Pricing.

Prerequisites

Before you use this sample, make sure that your setup meets the following requirements:

  • You must have an existing AWS Cloud9 EC2 development environment. This sample assumes that you already have an EC2 environment that's connected to an Amazon EC2 instance that runs Amazon Linux or Ubuntu Server. If you have a different type of environment or operating system, you might need to adapt this sample's instructions to set up related tools. For more information, see Creating an environment in AWS Cloud9.

  • You have the AWS Cloud9 IDE for the existing environment already open. When you open an environment, AWS Cloud9 opens the IDE for that environment in your web browser. For more information, see Opening an environment in AWS Cloud9.

Step 1: Install required tools

In this step, you install Node.js, which is required to run this sample.

  1. In a terminal session in the AWS Cloud9 IDE, confirm whether Node.js is already installed by running the node --version command. (To start a new terminal session, on the menu bar, choose Window, New Terminal.) If successful, the output contains the Node.js version number. If Node.js is installed, skip ahead to Step 2: Add code.

  2. Run the yum update for (Amazon Linux) or apt update for (Ubuntu Server) command to help ensure the latest security updates and bug fixes are installed.

    For Amazon Linux:

    sudo yum -y update

    For Ubuntu Server:

    sudo apt update
  3. To install Node.js, begin by running this command to download Node Version Manager (nvm). (nvm is a simple Bash shell script that is useful for installing and managing Node.js versions. For more information, see Node Version Manager on the GitHub website.)

    curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.5/install.sh | bash
  4. To start using nvm, either close the terminal session and start it again, or source the ~/.bashrc file that contains the commands to load nvm.

    . ~/.bashrc
  5. Run this command to install Node.js 16 on Amazon Linux 2, Amazon Linux 1 and Ubuntu 18.04. Amazon Linux 1 and Ubuntu 18.04 instances only support Node.js up to v16.

    nvm install 16

    Run this command to install the latest version of Node.js on Amazon Linux 2023 and Ubuntu 22.04:

    nvm install --lts && nvm alias default lts/*
    Note

    The latest AL2023 AWS Cloud9 image has Node.js 20 installed, and the latest Amazon Linux 2 AWS Cloud9 image has Node.js 18 installed. If you want to install Node.js 18 on Amazon Linux 2 AWS Cloud9 manually, run the following command in the AWS Cloud9 IDE terminal:

    C9_NODE_INSTALL_DIR=~/.nvm/versions/node/v18.17.1 C9_NODE_URL=https://d3kgj69l4ph6w4.cloudfront.net/static/node-amazon/node-v18.17.1-linux-x64.tar.gz mkdir -p $C9_NODE_INSTALL_DIR curl -fSsl $C9_NODE_URL | tar xz --strip-components=1 -C "$C9_NODE_INSTALL_DIR" nvm alias default v18.17.1 nvm use default echo -e 'nvm use default' >> ~/.bash_profile

Step 2: Add code

In the AWS Cloud9 IDE, create a file with this content, and save the file with the name hello.js. (To create a file, on the menu bar, choose File, New File. To save the file, choose File, Save.)

console.log('Hello, World!'); console.log('The sum of 2 and 3 is 5.'); var sum = parseInt(process.argv[2], 10) + parseInt(process.argv[3], 10); console.log('The sum of ' + process.argv[2] + ' and ' + process.argv[3] + ' is ' + sum + '.');

Step 3: Run the code

  1. In the AWS Cloud9 IDE, on the menu bar, choose Run, Run Configurations, New Run Configuration.

  2. On the [New] - Idle tab, choose Runner: Auto, and then choose Node.js.

  3. For Command, type hello.js 5 9. In the code, 5 represents process.argv[2], and 9 represents process.argv[3]. (process.argv[0] represents the name of the runtime (node), and process.argv[1] represents the name of the file (hello.js).)

  4. Choose the Run button, and compare your output.

    Hello, World! The sum of 2 and 3 is 5. The sum of 5 and 9 is 14.
Node.js output after running the code in the AWS Cloud9 IDE

Step 4: Install and configure the AWS SDK for JavaScript in Node.js

When running Node.js scripts in AWS Cloud9, you can choose between AWS SDK for JavaScript version 3 (V3) and the older AWS SDK for JavaScript version 2 (V2). As with V2, V3 enables you to easily work with Amazon Web Services, but has been written in TypeScript and adds several frequently requested features, such as modularized packages.

AWS SDK for JavaScript (V3)

You can enhance this sample to use the AWS SDK for JavaScript in Node.js to create an Amazon S3 bucket, list your available buckets, and then delete the bucket you just created.

In this step, you install and configure the Amazon S3 service client module of the AWS SDK for JavaScript in Node.js, which provides a convenient way to interact with the Amazon S3 AWS service, from your JavaScript code.

If you want to use other AWS services, you need to install them separately. For more information on installing AWS modules, see in the AWS Developer Guide (V3). For information on how to get started with Node.js and AWS SDK for JavaScript (V3), see Get started with Node.js in the AWS SDK for JavaScript Developers Guide (V3).

After you install the AWS SDK for JavaScript in Node.js, you must set up credentials management in your environment. The AWS SDK for JavaScript in Node.js needs these credentials to interact with AWS services.

To install the AWS SDK for JavaScript in Node.js

Use npm to run the install command.

npm install @aws-sdk/client-s3

For more information, see Installing the SDK for JavaScript in the AWS SDK for JavaScript Developer Guide.

To set up credentials management in your environment

Each time you use the AWS SDK for JavaScript in Node.js to call an AWS service, you must provide a set of credentials with the call. These credentials determine whether the AWS SDK for JavaScript in Node.js has the appropriate permissions to make that call. If the credentials do not cover the appropriate permissions, the call will fail.

In this step, you store your credentials within the environment. To do this, follow the instructions in Calling AWS services from an environment in AWS Cloud9, and then return to this topic.

For additional information, see Setting Credentials in Node.js in the AWS SDK for JavaScript Developer Guide.

AWS SDK for JavaScript (V2)

You can enhance this sample to use the AWS SDK for JavaScript in Node.js to create an Amazon S3 bucket, list your available buckets, and then delete the bucket you just created.

In this step, you install and configure the AWS SDK for JavaScript in Node.js, which provides a convenient way to interact with AWS services such as Amazon S3, from your JavaScript code. After you install the AWS SDK for JavaScript in Node.js, you must set up credentials management in your environment. The AWS SDK for JavaScript in Node.js needs these credentials to interact with AWS services.

To install the AWS SDK for JavaScript in Node.js

Use npm to run the install command.

npm install aws-sdk

For more information, see Installing the SDK for JavaScript in the AWS SDK for JavaScript Developer Guide.

To set up credentials management in your environment

Each time you use the AWS SDK for JavaScript in Node.js to call an AWS service, you must provide a set of credentials with the call. These credentials determine whether the AWS SDK for JavaScript in Node.js has the appropriate permissions to make that call. If the credentials do not cover the appropriate permissions, the call will fail.

In this step, you store your credentials within the environment. To do this, follow the instructions in Calling AWS services from an environment in AWS Cloud9, and then return to this topic.

For additional information, see Setting Credentials in Node.js in the AWS SDK for JavaScript Developer Guide.

Step 5: Add AWS SDK code

AWS SDK for JavaScript (V3)

In this step, you add some more code, this time to interact with Amazon S3 to create a bucket, list your available buckets, and then delete the bucket you just created. You will run this code later.

In the AWS Cloud9 IDE, create a file with this content, and save the file with the name s3.js.

import { CreateBucketCommand, DeleteBucketCommand, ListBucketsCommand, S3Client, } from "@aws-sdk/client-s3"; const wait = async (milliseconds) => { return new Promise((resolve) => setTimeout(resolve, milliseconds)); }; export const main = async () => { const client = new S3Client({}); const now = Date.now(); const BUCKET_NAME = `easy-bucket-${now.toString()}`; const createBucketCommand = new CreateBucketCommand({ Bucket: BUCKET_NAME }); const listBucketsCommand = new ListBucketsCommand({}); const deleteBucketCommand = new DeleteBucketCommand({ Bucket: BUCKET_NAME }); try { console.log(`Creating bucket ${BUCKET_NAME}.`); await client.send(createBucketCommand); console.log(`${BUCKET_NAME} created`); await wait(2000); console.log(`Here are your buckets:`); const { Buckets } = await client.send(listBucketsCommand); Buckets.forEach((bucket) => { console.log(` • ${bucket.Name}`); }); await wait(2000); console.log(`Deleting bucket ${BUCKET_NAME}.`); await client.send(deleteBucketCommand); console.log(`${BUCKET_NAME} deleted`); } catch (err) { console.error(err); } }; main();
AWS SDK for JavaScript (V2)

In this step, you add some more code, this time to interact with Amazon S3 to create a bucket, list your available buckets, and then delete the bucket you just created. You will run this code later.

In the AWS Cloud9 IDE, create a file with this content, and save the file with the name s3.js.

if (process.argv.length < 4) { console.log( "Usage: node s3.js <the bucket name> <the AWS Region to use>\n" + "Example: node s3.js my-test-bucket us-east-2" ); process.exit(1); } var AWS = require("aws-sdk"); // To set the AWS credentials and region. var async = require("async"); // To call AWS operations asynchronously. AWS.config.update({ region: region, }); var s3 = new AWS.S3({ apiVersion: "2006-03-01" }); var bucket_name = process.argv[2]; var region = process.argv[3]; var create_bucket_params = { Bucket: bucket_name, CreateBucketConfiguration: { LocationConstraint: region, }, }; var delete_bucket_params = { Bucket: bucket_name }; // List all of your available buckets in this AWS Region. function listMyBuckets(callback) { s3.listBuckets(function (err, data) { if (err) { } else { console.log("My buckets now are:\n"); for (var i = 0; i < data.Buckets.length; i++) { console.log(data.Buckets[i].Name); } } callback(err); }); } // Create a bucket in this AWS Region. function createMyBucket(callback) { console.log("\nCreating a bucket named " + bucket_name + "...\n"); s3.createBucket(create_bucket_params, function (err, data) { if (err) { console.log(err.code + ": " + err.message); } callback(err); }); } // Delete the bucket you just created. function deleteMyBucket(callback) { console.log("\nDeleting the bucket named " + bucket_name + "...\n"); s3.deleteBucket(delete_bucket_params, function (err, data) { if (err) { console.log(err.code + ": " + err.message); } callback(err); }); } // Call the AWS operations in the following order. async.series([ listMyBuckets, createMyBucket, listMyBuckets, deleteMyBucket, listMyBuckets, ]);

Step 6: Run the AWS SDK code

  1. Enable the code to call Amazon S3 operations asynchronously by using npm to run the install command.

    npm install async
  2. In the AWS Cloud9 IDE, on the menu bar, choose Run, Run Configurations, New Run Configuration.

  3. On the [New] - Idle tab, choose Runner: Auto, and then choose Node.js.

  4. If you are using AWS SDK for JavaScript (V3), for Command type s3.js. If you are using AWS SDK for Javascript (v2), for Command type s3.js my-test-bucket us-east-2, where my-test-bucket is the name of the bucket you want to create and then delete, and us-east-2 is the ID of the AWS Region you want to create the bucket in. For more IDs, see Amazon Simple Storage Service (Amazon S3) in the Amazon Web Services General Reference.

    Note

    Amazon S3 bucket names must be unique across AWS—not just your AWS account.

  5. Choose the Run button, and compare your output.

    My buckets now are: Creating a new bucket named 'my-test-bucket'... My buckets now are: my-test-bucket Deleting the bucket named 'my-test-bucket'... My buckets now are:

Step 7: Clean up

To prevent ongoing charges to your AWS account after you're done using this sample, you should delete the environment. For instructions, see Deleting an environment in AWS Cloud9.