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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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Khaled Tannir Khaled Tannir
Author Profile Icon Khaled Tannir
Khaled Tannir
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Toc

Identifying cluster weakness


Adapting the Hadoop framework's configuration based on a cluster's hardware and number of nodes has proven to give increased performance. In order to ensure that your Hadoop framework is using your hardware efficiently and you have defined the number of mappers and reducers correctly, you need to check your environment to identify whether there are nodes, CPU, or network weaknesses. Then you can decide whether the Hadoop framework should behave as a new set of configuration, or needs to be optimized.

In the following sections, we will go through common scenarios that may cause your job to perform poorly. Each scenario has its own technique that shows how to identify the problem. The scenario covers the cluster node's health, the input data size, massive I/O and network traffic, insufficient concurrent tasks, and CPU contention (which occurs when all lower priority tasks have to wait when any higher priority CPU-bound task is running, and there are no other CPUs...

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