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Amazon S3 Cookbook (n)

You're reading from   Amazon S3 Cookbook (n) Over 30 hands-on recipes that will get you up and running with Amazon Simple Storage Service (S3) efficiently

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Product type Paperback
Published in Aug 2015
Publisher Packt
ISBN-13 9781785280702
Length 280 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Naoya Hashimoto Naoya Hashimoto
Author Profile Icon Naoya Hashimoto
Naoya Hashimoto
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Toc

Table of Contents (14) Chapters Close

Preface 1. Managing Common Operations with AWS SDKs FREE CHAPTER 2. Hosting a Static Website on Amazon S3 Bucket 3. Calculating Cost with the AWS Simple Monthly Calculator 4. Deploying a Static Website with CloudFormation 5. Distributing Your Contents via CloudFront 6. Securing Resources with Bucket Policies and IAM 7. Sending Authenticated Requests with AWS SDKs 8. Protecting Data Using Server-side and Client-side Encryption 9. Enabling Cross-origin Resource Sharing 10. Managing Object Lifecycle to Lower the Cost 11. S3 Performance Optimization 12. Creating Triggers and Notifying S3 Events to Lambda Index

Learning AWS SDK for Node.js and basic S3 operations with sample code

This section introduces you about how to install AWS SDK for Node.js and how to create S3 buckets, put objects, get objects using the sample code, and explains how the sample code runs as well.

Getting ready

AWS SDK for JavaScript is available for browsers and mobile services, on the other hand Node.js supports as backend. Each API call is exposed as a function on the service.

To get started with AWS SDK for Node.js, it is necessary to install the following on your development machine:

How to do it…

Proceed with the following steps to install the packages and run the sample application. The preferred way to install SDK is to use npm, the package manager for Node.js.

  1. Download the sample SDK application:
    $ git clone https://github.com/awslabs/aws-nodejs-sample.git
    $ cd aws-nodejs-sample/
    
  2. Run the sample application:
    $ node sample.js
    

How it works…

The sample code works as shown in the following diagram; initiating the credentials to allow access to Amazon S3, creating a bucket in a region, putting objects into the bucket, and then, finally, deleting the objects and the bucket. Make sure that you delete the objects and the bucket yourself after running this sample application because the application does not delete the bucket:

How it works…

Now, let's run the sample application and see the output of the command, as shown in the following screenshot, and then follow the source code step by step:

How it works…

Now, let's examine the sample code; the path is aws-nodejs-sample/sample.js. The AWS.S3 method creates an AWS client:

var s3 = new AWS.S3();

The createBucket method creates an S3 bucket with the specified name defined as the bucketName variable. The bucket is created in the standard US region, by default. The putObject method uploads an object defined as the keyName variable into the bucket:

var bucketName = 'node-sdk-sample-' + uuid.v4();
var keyName = 'hello_world.txt';
s3.createBucket({Bucket: bucketName}, function() {
  var params = {Bucket: bucketName, Key: keyName, Body: 'Hello World!'};
  s3.putObject(params, function(err, data) {
    if (err)
      console.log(err)
    else
      console.log("Successfully uploaded data to " + bucketName + "/" + keyName);
  });
});

The whole sample code is as follows:

var AWS = require('aws-sdk');
var uuid = require('node-uuid');
var s3 = new AWS.S3();
var bucketName = 'node-sdk-sample-' + uuid.v4();
var keyName = 'hello_world.txt';
s3.createBucket({Bucket: bucketName}, function() {
  var params = {Bucket: bucketName, Key: keyName, Body: 'Hello World!'};
  s3.putObject(params, function(err, data) { 
    if (err)
      console.log(err)
    else    
      console.log("Successfully uploaded data to " + bucketName + "/" + keyName);
  });
});

See also

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Amazon S3 Cookbook (n)
Published in: Aug 2015
Publisher: Packt
ISBN-13: 9781785280702
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