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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 discussed Hadoop MapReduce performance tuning and learned how application developers and cluster administrators can tune Hadoop in order to enhance the MapReduce job's performance.

We learned about most configuration variables related to CPU, disk I/O, memory and network utilization and discussed how these variables may affect the MapReduce job's performance.

Then, we learned about Hadoop metrics and suggested some open source monitoring tools, which enhance the Hadoop monitoring experience and are very handy to Hadoop cluster administrators and application developers.

In the next chapter, we will learn how to identify resource bottlenecks based on performance indicators and also learn about common performance tuning methods.

You have been reading a chapter from
Optimizing Hadoop for MapReduce
Published in: Feb 2014
Publisher:
ISBN-13: 9781783285655
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