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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

Scheduling a job in Oozie


In this recipe, we are going to take a look at a schedule that has recurring jobs using the Oozie coordinator.

Getting ready

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

How to do it...

Oozie provides one more type of job called a coordinator job. This type of job is used to schedule application jobs. With the help of a coordinator job, we can execute an application job. The following is an example of a coordinator job that runs daily:

<coordinator-app name="sample-coordinator"
  frequency="${coord:days(1)}"
  start="2016-01-01T18:56Z" end="2017-01-01T18:56Z" timezone="UTC"
  xmlns="uri:oozie:coordinator:0.2">

<controls>

<concurrency>1</concurrency>
<execution>FIFO</execution>
<throttle>5</throttle>
</controls>


<action>
<workflow>
<app-path>${applicationPath}</app-path>
<configuration>
       ...
</configuration...
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