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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
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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 learned about MapReduce Combiners and how they help to improve the overall execution job time. Also, we covered why it is important to use compression, especially in a large data volume context.

Then we covered Java code-side optimization and learned about choosing appropriate Writable types and how to reuse these types smartly. We also learned about WritableComparator and RawComparator custom class implementation.

In the final section, we covered basic guidelines with some rules to tune your Hadoop configuration and enhance its performance.

In the next chapter, we will learn more about MapReduce optimization best practices. Keep reading!

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