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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

The advanced Pig operators


In this section, we will examine some of the advanced features and hints available in Pig operators.

The advanced FOREACH operator

The FOREACH operator is primarily used to transform every record of the input relation into a transformed record. A list of expressions is used to make this transformation. There are situations where the FOREACH operator can increase the number of output records. They are discussed in the following sections.

The FLATTEN operator

The FLATTEN keyword is an operator, though it looks like a UDF in syntax. It is used to un-nest nested tuples and bags. However, the semantics of the elimination of nesting is different when it is used on tuples when compared to bags.

FLATTEN on a nested tuple yields a single tuple, as shown in the following snippet. All the nested tuples are elevated to the topmost level.

Consider data of the following nature:

(1, (2, 3, 4)) 
X = FOREACH A GENERATE $0, FLATTEN($1); 

This will yield (1,2,3,4) as the resulting tuple...

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