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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

Implementing a Pig action job using Oozie


In this recipe, we are going to take a look at how to use a Pig action in order to automate the Pigscripts executions.

Getting ready

To perform this recipe, you should have a running Hadoop cluster as well as the latest version of Oozie and Pig installed on it.

How to do it...

A Oozie job execution consists of two important things, workflow.xml and a properties file. The workflow.xml file is where we need to specify the flow of execution. The following is an example of workflow.xml, which uses the Pig action:

<workflow-app xmlns="uri:oozie:workflow:0.2" name="pig-wf">
<start to="pig-node"/>
<action name="pig-node">
<pig>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
<delete path="${nameNode}/user/${wf:user()}/${examplesRoot}/output-data/pig"/>
</prepare>
<configuration>
<property>
<name>mapred.job.queue.name</name>
<value...
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