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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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Toc

Investigating the Hadoop parameters


As discussed in Chapter 1, Understanding MapReduce, there are many factors that may affect the Hadoop MapReduce performance. In general, workload-dependent Hadoop performance optimization efforts have to focus on three major categories: the system hardware, the system software, and the configuration and tuning/optimization of the Hadoop infrastructure components.

It is good to point out that Hadoop is classified as a highly-scalable solution, but not necessarily as a high-performance cluster solution. Administrators can configure and tune a Hadoop cluster with various configuration options. Performance configuration parameters focus mainly on CPU utilization, memory occupation, disk I/O, and network traffic. Besides the main performance parameters of Hadoop, other system parameters such as inter-rack bandwidth may affect the overall performance of the cluster.

Hadoop can be configured and customized according to the user's needs; the configuration files...

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Optimizing Hadoop for MapReduce
Published in: Feb 2014
Publisher:
ISBN-13: 9781783285655
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