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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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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 Hive


In the previous chapter, we talked about how to write user-defined functions in Pig; in this recipe, we are going to do the same for Hive. Hive supports the adding of temporary functions, which can be used to process data. We will be writing UDF in Java and will also create functions that can be used in data processing.

Getting ready

To perform this recipe, you should have a running Hadoop cluster as well as the latest version of Hive installed on it. Here, I am using Hive 1.2.1. We will also need the Eclipse IDE for development.

How to do it

There are various system functions that are supported by Hive, but sometimes, you will need to do something different that cannot be handled by system provided functions. To do this, we will need to write a custom function.

Take a situation where we have census data and a person's income, and we want to categorize them into three parts based on the person's income. The following is some sample data where we have the...

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