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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

Querying the DynamoDB data using AWS EMR

In the previous recipe, we have seen how to access the DynamoDB data from AWS EMR. In this recipe, we are going to see how to query DynamoDB using AWS 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…

Here, we will use productHiveTable, which we created in the previous recipe. In this recipe, we will see how easy it is to query the DynamoDB data using EMR:

  1. To get started, connect to your EMR cluster and start Hive.
  2. In our e-commerce application, we would like to query the product catalogue data in various ways. With DynamoDB being a NoSQL database, we can only query on hash or range keys themselves, which sometimes makes querying difficult. Now, we can use Hive to effectively query the DynamoDB data.
  3. Let's start with our first query to count the total number of products in our DynamoDB table. For this, we need to execute the following query:
    hive>...
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