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Apache Hive Essentials

You're reading from   Apache Hive Essentials Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783558575
Length 208 pages
Edition 1st Edition
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Author (1):
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Dayong Du Dayong Du
Author Profile Icon Dayong Du
Dayong Du
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Table of Contents (12) Chapters Close

Preface 1. Overview of Big Data and Hive 2. Setting Up the Hive Environment FREE CHAPTER 3. Data Definition and Description 4. Data Selection and Scope 5. Data Manipulation 6. Data Aggregation and Sampling 7. Performance Considerations 8. Extensibility Considerations 9. Security Considerations 10. Working with Other Tools Index

Oozie


Oozie (see http://oozie.apache.org/) is an open source workflow coordination and schedule service to manage data processing jobs. Oozie workflow jobs are defined in a series of nodes in a Directed Acyclical Graph (DAG). Acyclical here means that there are no loops in the graph and all nodes in the graph flow in one direction without going back. Oozie workflows contain either the control flow node or action node:

  • Control flow node: This either defines the start, end, and failed node in a workflow or controls the workflow execution path such as decision, fork, and join nodes.

  • Action node: This defines the core data processing action job such as MapReduce, Hadoop filesystem, Hive, Pig, Java, Shell, e-mail, and Oozie subworkflows. Additional types of actions are also supported by developing extensions.

Oozie is a scalable, reliable, and extensible system. It can be parameterized for workflow submission and scheduled to run automatically. Therefore, Oozie is very suitable for lightweight...

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