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Third International conference on advances in communication, network and computing

Research Article

Join Query Processing in MapReduce Environment

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  • @INPROCEEDINGS{10.1007/978-3-642-35615-5_42,
        author={Anwar Shaikh and Rajni Jindal},
        title={Join Query Processing in MapReduce Environment},
        proceedings={Third International conference on advances in communication, network and computing},
        proceedings_a={CNC},
        year={2012},
        month={12},
        keywords={MapReduce Join processing Hadoop Multiway Join},
        doi={10.1007/978-3-642-35615-5_42}
    }
    
  • Anwar Shaikh
    Rajni Jindal
    Year: 2012
    Join Query Processing in MapReduce Environment
    CNC
    Springer
    DOI: 10.1007/978-3-642-35615-5_42
Anwar Shaikh1,*, Rajni Jindal1,*
  • 1: Delhi Technological University
*Contact email: anwardshaikh@gmail.com, rajnijindal@dce.ac.in

Abstract

MapReduce is a framework for processing large data sets, where straightforward computations are performed by hundreds of machines on large input data. Data could be stored and retrieved using structured queries. Join queries are most frequently used and importatnt. So its crucial to find out efficient join processing techniques. This paper provides overview of join query processing techniques & proposes a strategy to find out best suitable join processing algorithm.

Keywords
MapReduce Join processing Hadoop Multiway Join
Published
2012-12-04
http://dx.doi.org/10.1007/978-3-642-35615-5_42
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