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DynamoDB Cookbook

You're reading from   DynamoDB Cookbook Over 90 hands-on recipes to design Internet scalable web and mobile applications with Amazon DynamoDB

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784393755
Length 266 pages
Edition 1st Edition
Concepts
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Author (1):
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Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
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Table of Contents (12) Chapters Close

Preface 1. Taking Your First Steps with DynamoDB FREE CHAPTER 2. Operating with DynamoDB Tables 3. Manipulating DynamoDB Items 4. Managing DynamoDB Indexes 5. Exploring Higher Level Programming Interfaces for DynamoDB 6. Securing DynamoDB 7. DynamoDB Best Practices 8. Integrating DynamoDB with other AWS Services 9. Developing Web Applications using DynamoDB 10. Developing Mobile Applications using DynamoDB Index

Exporting data to AWS S3 from DynamoDB using AWS EMR

In the first recipe of this chapter, we saw how to use the AWS Pipeline to export the DynamoDB data to S3. The AWS Pipeline creation and execution is easy and quick, but we have very little control on things that happen in the pipeline, so we now are going to talk about one recipe that will explain how to export the DynamoDB data to S3 using EMR.

Getting ready

To perform this recipe, you should have performed the earlier recipe and have your EMR cluster still running.

How to do it…

Let's export data to AWS S3 from DynamoDB:

  1. To perform this recipe, we need to create two tables. In the earlier recipes, we have already created productHiveTable, as shown in the following code:
    CREATE EXTERNAL TABLE productHiveTable (
    id string, type string, mnfr string, name string,
    price bigint, stock bigint)
    STORED BY 'org.apache.hadoop.hive.dynamodb.DynamoDBStorageHandler'
    TBLPROPERTIES ("dynamodb.table.name" = "product&quot...
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