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Apache Hive Cookbook

You're reading from   Apache Hive Cookbook

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781782161080
Length 268 pages
Edition 1st Edition
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Toc

Table of Contents (14) Chapters Close

Preface 1. Developing Hive 2. Services in Hive FREE CHAPTER 3. Understanding the Hive Data Model 4. Hive Data Definition Language 5. Hive Data Manipulation Language 6. Hive Extensibility Features 7. Joins and Join Optimization 8. Statistics in Hive 9. Functions in Hive 10. Hive Tuning 11. Hive Security 12. Hive Integration with Other Frameworks Index

Creating custom User-Defined Functions (UDF)

Built-in functions in Hive sometimes do not fit the requirements of a business use case or when data analytics required some custom manipulation of data based on certain conditions. For such cases, the user needs to define custom logic as a UDF and run it over the data.

How to do it…

For writing a custom function in Hive, you will have to extend a Hive class: org.apache.hadoop.hive.ql.exec.UDF.

Let's understand the concept of creating a custom UDF with the example of creating a function to reverse a string.

The following are the steps to create a custom UDF:

  1. Create a new Java project using any IDE, such as Eclipse. Give this any name; let's say "HiveUDF".
  2. When writing a custom UDF, there should be two libraries in the classpath of the project. To do so:
    1. Create a folder "lib" under the project.
    2. Add the following two JAR files to the lib folder:
      • hadoop-common-2.6.0
      • hive-exec-1.2.1
    3. Add these JAR files to the classpath of...
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