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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

Creating a performance baseline


Let's begin by creating a performance baseline for our system. When creating a baseline, you should keep the Hadoop default configuration settings and use the TeraSort benchmark tool, which is a part of the example JAR files provided with the Hadoop distribution package. TeraSort is accepted as an industry standard benchmark to compare the performance of Hadoop. This benchmark tool tries to use the entire Hadoop cluster to sort 1 TB of data as quickly as possible and is divided into three main modules:

  • TeraGen: This module is used to generate a file of the desired size as an input that usually ranges between 500 GB up to 3 TB. Once the input data is generated by TeraGen, it can be used in all the runs with the same file size.

  • TeraSort: This module will sort the input file across the Hadoop cluster. TeraSort stresses the Hadoop cluster on both layers, MapReduce and HDFS, in terms of computation, network bandwidth, and I/O response. Once sorted, a single reduced...

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