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Amazon SimpleDB Developer Guide

You're reading from  Amazon SimpleDB Developer Guide

Product type Book
Published in Jun 2010
Publisher Packt
ISBN-13 9781847197344
Pages 252 pages
Edition 1st Edition
Languages

Table of Contents (16) Chapters

Amazon SimpleDB Developer Guide
Credits
Foreword
About the Authors
About the Reviewers
1. Preface
1. Getting to Know SimpleDB 2. Getting Started with SimpleDB 3. SimpleDB versus RDBMS 4. The SimpleDB Data Model 5. Data Types 6. Querying 7. Storing Data on S3 8. Tuning and Usage Costs 9. Caching 10. Parallel Processing

Serialized SimpleDB requests


In the previous section, we used a batch operation for updating multiple items in a single call. This will work just fine as long as you only need to update up to 25 items at a time. What if you need to update 1000 items, or even 100,000 items? You can certainly use the simple batch operation, but making the requests one after the other serially will seriously degrade your performance and slow your application down. Here is a simple Python script that updates items by making three different calls to SimpleDB, but in a serial fashion, that is one call after another. You can run this script with the time command on Unix/Linux/Mac OS X to get the execution time. This will give us a baseline to look at when we convert this same script into using parallel operations.

Running this through time on my laptop shows the following output:

Updated items for domain 'Domain:songs' to : {'112222222': {'Year': '2010'}, '6767969119': {'Genre': ''}}
Updated items for domain 'Domain...
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