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Mastering Hadoop

You're reading from   Mastering Hadoop Go beyond the basics and master the next generation of Hadoop data processing platforms

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
Tools
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Author (1):
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Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
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Table of Contents (15) Chapters Close

Preface 1. Hadoop 2.X FREE CHAPTER 2. Advanced MapReduce 3. Advanced Pig 4. Advanced Hive 5. Serialization and Hadoop I/O 6. YARN – Bringing Other Paradigms to Hadoop 7. Storm on YARN – Low Latency Processing in Hadoop 8. Hadoop on the Cloud 9. HDFS Replacements 10. HDFS Federation 11. Hadoop Security 12. Analytics Using Hadoop A. Hadoop for Microsoft Windows Index

Pig performance optimizations


In this section, we will look at different performance parameters and how to tune them for optimized Pig script execution.

The optimization rules

Pig applies optimization rules on the generated logical plan for a Pig script. By default, all rules are enabled. The pig.optimizer.rules.disabled property can be used to disable rules. The –optimizer_off command-line option can also be used when executing a Pig script to disable rules. Some rules are mandatory and cannot be disabled. The all option disables all the non-mandatory rules:

set pig.optimizer.rules.disabled <comma-separated rules list>

Alternatively, you can use the following command:

pig –t|–optimizer_off [rule name | all]

Tip

FilterLogicExpressionSimplifier is turned off by default. Setting the property pig.exec.filterLogicExpressionSimplifier to true can turn it on.

Most of the optimization rules discussed in the following section are simple and borrowed from database query optimizations:

  • PartitionFilterOptimizer...

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