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Hadoop Real-World Solutions Cookbook- Second Edition

You're reading from   Hadoop Real-World Solutions Cookbook- Second Edition Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781784395506
Length 290 pages
Edition 2nd Edition
Tools
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Author (1):
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Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Hadoop 2.X FREE CHAPTER 2. Exploring HDFS 3. Mastering Map Reduce Programs 4. Data Analysis Using Hive, Pig, and Hbase 5. Advanced Data Analysis Using Hive 6. Data Import/Export Using Sqoop and Flume 7. Automation of Hadoop Tasks Using Oozie 8. Machine Learning and Predictive Analytics Using Mahout and R 9. Integration with Apache Spark 10. Hadoop Use Cases Index

Writing a user-defined function in Pig


In this recipe, we will learn how to write user-defined functions (UDFs) in order to have our own custom filters.

Getting ready

To perform this recipe, you should have a running Hadoop cluster as well as the latest version of Pig installed on it. We will also need an IDE, such as Eclipse, to write the Java class.

How to do it...

In this recipe, we are going to write user-defined functions for the dataset we have been considering in this chapter. Our dataset is an employee dataset, so let's assume that we want to convert all the names present in our dataset into uppercase. To do this, we will write a user-defined function to convert the lowercase letters into uppercase letters.

Writing a UDF is very simple: we need to write a class that extends the EvalFunc Pig class. In order to have this and other Hadoop classes in our class path, first of all, we need to create a maven project, and add the following dependencies to the POM.xml project:

        <dependency...
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