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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

Product type Paperback

Published in Dec 2014

Publisher

ISBN-13 9781783983643

Length 374 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Data Processing

Author (1):

Sandeep Karanth

View More author details

Table of Contents (15) Chapters

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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Authors (1)

Karanth

Karanth

Sandeep Karanth is a technical architect who specializes in building and operationalizing software systems. He has more than 14 years of experience in the software industry, working on a gamut of products ranging from enterprise data applications to newer-generation mobile applications. He has primarily worked at Microsoft Corporation in Redmond, Microsoft Research in India, and is currently a cofounder at Scibler, architecting data intelligence products.

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