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Hadoop Input/Output

  • Sameer Wadkar
  • Madhu Siddalingaiah
Chapter

Abstract

Previous chapters outlined MapReduce concepts in detail and we started delving deeper into the way Hadoop is implemented at the end of Chapter 5. This chapter expands on that theme. First, compression schemes are explained, followed by a detailed discussion on Hadoop I/O. We address various types of files, such as Sequence and Avro files. In the process, you develop a deeper understanding of how the MapReduce framework works internally in the Hadoop engine.

Keywords

Input File Compression Scheme MapReduce Framework Index File MapReduce Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Sameer Wadkar and Madhu Siddalingaiah 2014

Authors and Affiliations

  • Sameer Wadkar
    • 1
  • Madhu Siddalingaiah
    • 1
  1. 1.MDUS

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