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Optimizing Hadoop for MapReduce

You're reading from   Optimizing Hadoop for MapReduce This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it's an example-driven tutorial for the real world.

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Product type Paperback
Published in Feb 2014
Publisher
ISBN-13 9781783285655
Length 120 pages
Edition Edition
Tools
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Author (1):
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Khaled Tannir Khaled Tannir
Author Profile Icon Khaled Tannir
Khaled Tannir
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Summary


In this chapter, we introduced the performance tuning process cycle and learned about Hadoop counters. We covered the TeraSort benchmark with its TeraGen module and learned to generate a performance baseline that will be used as a reference when tuning the Hadoop cluster. We also learned the approach to tune a Hadoop cluster illustrated by a three-node Hadoop cluster example and suggested tuning some setting parameters to improve the cluster's performance.

Then we moved ahead and discussed resource bottlenecks and what component is involved at each MapReduce stage or may potentially be the source of a bottleneck. For each component (CPU, RAM, storage, and network bandwidth), we learned how to identify system bottlenecks with suggestions to try to eliminate them.

In the next chapter, we will learn how to identify Hadoop cluster resource weaknesses and how to configure a Hadoop cluster correctly. Keep reading!

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