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Configuring and tuning MapReduce's shuffle

Once you have outgrown your small Hadoop cluster it’s worth tuning some of the shuffle configurables to ensure that your performance keeps up with the physical growth of your cluster. The figure below shows key configurables in the shuffle stage in Hadoop versions 1.x and earlier, and identifies those that should be tuned.

parition

You can read more about these configurables and their default values by looking at mapred-default.xml. My book Hadoop in Practice (Manning Publications) in chapter 6 discusses how some of the configuration values in the figure should be tweaked when you start working with mid to large-size Hadoop clusters.

About the author

Hadoop in Practice, Second Edition

Alex Holmes is a senior software engineer with over 15 years of experience developing large scale distributed Java systems. Since 2008 he has gained expertise in using Hadoop to solve Big Data problems across a number of projects. He is the author of Hadoop in Practice (first edition, with second edition currently in the early access program), a book published by Manning Publications. He has presented at JavaOne and Jazoon.

If you want to see what Alex is up to you can check out his work on GitHub, or follow him on Twitter or Google+.

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