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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
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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

Development and debugging aids


There are three important commands that can help develop, debug, and optimize Pig scripts.

The DESCRIBE command

The DESCRIBE command gives the schema of a relation. This command is useful when you are a Pig Latin beginner and want to understand how operators transform the data. The output corresponding to the groupByCountry relation in the previous script code to find the population of the country is given as follows:

groupByCountry: {group: chararray,generateRecords: {(cc::cname: chararray,ccity::cityName: chararray,ccity::population: long)}} 

The DESCRIBE output has the Pig syntax. In the preceding example, groupByCountry is a Bag data type that contains a group element and another bag, generateRecords.

The EXPLAIN command

EXPLAIN, on a relation, shows how the Pig script will be executed. It is useful when trying to optimize Pig scripts or debug errors. It shows the logical, physical, and MapReduce plans of the relation. The following screenshot shows the MapReduce...

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