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Mastering Hadoop

You're reading from   Mastering Hadoop Go beyond the basics and master the next generation of Hadoop data processing platforms

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
Tools
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Author (1):
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Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
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Table of Contents (15) Chapters Close

Preface 1. Hadoop 2.X FREE CHAPTER 2. Advanced MapReduce 3. Advanced Pig 4. Advanced Hive 5. Serialization and Hadoop I/O 6. YARN – Bringing Other Paradigms to Hadoop 7. Storm on YARN – Low Latency Processing in Hadoop 8. Hadoop on the Cloud 9. HDFS Replacements 10. HDFS Federation 11. Hadoop Security 12. Analytics Using Hadoop A. Hadoop for Microsoft Windows Index

Different modes of execution

Pig has the following three modes of execution:

  • Interactive mode: In this mode, a grunt shell is provided to the user. Users can type in Pig commands in an interactive session with Pig and the Hadoop cluster.
  • Batch mode: In this mode, the user can write a series of Pig statements into a script file. The file can then be submitted for execution.
  • Embedded mode: In this mode, any Java program can invoke Pig commands by importing the Pig libraries.

Apart from these modes of execution, Pig can either be executed locally, in the local mode using the local execution environment, or on a Hadoop cluster execution environment in the mapreduce mode . In the former mode, all commands are executed on a single system using the local filesystem. If the –x switch is not specified, Pig defaults to running in the mapreduce mode. Specifying the –x switch gives the user an option to run in the local or mapreduce mode and use the appropriate execution environment. The...

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