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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

Performing join operations on the DynamoDB data using AWS EMR

In the previous recipe, we saw how to use EMR to access the DynamoDB data and query the same as well. In this recipe, we will see how to join two DynamoDB tables in order to get the combined view.

Getting ready

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

How to do it…

Here, we will use two tables: one is the Customer table, and the other one is the Orders table. The Customer table contains detailed information of the customer, while the Order table contains the details of the order, along with customerId, which provides a link between these two tables. Now we want to execute queries that need information from both tables, which cannot be achieved solely by DynamoDB, and so, we use EMR:

  1. To get started, we need to make sure that we have two tables created, as mentioned earlier. Now, we will connect to the EMR cluster, and we will create two Hive tables corresponding...
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