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Hadoop MapReduce Programming

Hadoop MapReduce Programming
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Copyright: 2019
Pages: 22
Source title: Big Data Processing With Hadoop
Source Author(s)/Editor(s): T. Revathi (Mepco Schlenk Engineering College, India), K. Muneeswaran (Mepco Schlenk Engineering College, India)and M. Blessa Binolin Pepsi (Mepco Schlenk Engineering College, India)
DOI: 10.4018/978-1-5225-3790-8.ch007

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Abstract

The second major component of Hadoop is MapReduce. It is the software framework for Hadoop environment. It consists of a single resource manager, one node manager per node, and one application manager per application. These managers are responsible for allocating necessary resources and executing the jobs submitted by clients. The entire process of executing a job is narrated in this chapter. The architecture of MapReduce framework is explained. The execution is implemented through two major operations: map and reduce. The map and reduce operations are demonstrated with an example. The syntax of different user interfaces available is shown. The coding to be done for MapReduce programming is shown using Java. The entire cycle of job execution is shown. After reading this chapter, the reader will be able to write MapReduce programs and execute them. At the end of the chapter, some research issues in the MapReduce programming is outlined.

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