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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

User-defined functions


User-defined functions or UDFs, are functions that can be implemented by the developer to extend the functionality of Pig and add custom processing. These functions can be called in almost all Pig operators. UDFs are written in Java. From Pig 0.8 onwards, Python UDFs are supported. In the latest version of Pig, in addition to Python and Java, UDFs can be written in Jython, JavaScript, Ruby, and Groovy.

Other than Java, the rest of the language bindings do not support all interfaces of Pig. For example, the load and store interfaces are not supported by the other language bindings. In this book, we will use Java to build and illustrate the power of UDFs.

There is a repository of Java UDFs called piggy bank. This is a public repository where you can take advantage of UDFs written by others and contribute your own UDFs to the community.

Before using a UDF in Pig, it is necessary to register the JAR file in the Pig script. The registration is done using the REGISTER command...

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