• DocumentCode
    3678409
  • Title

    HRDBMS: A NewSQL Database for Analytics

  • Author

    Jason Arnold;Boris Glavic;Ioan Raicu

  • Author_Institution
    Dept. of Comput. Sci., IIT, Chicago, IL, USA
  • fYear
    2015
  • Firstpage
    519
  • Lastpage
    520
  • Abstract
    HRDBMS is a novel distributed relational database that uses a hybrid model combining the best of traditional distributed relational databases and Big Data analytics platforms such as Hive. This allows HRDBMS to leverage years worth of research regarding query optimization, while also taking advantage of the scalability of Big Data platforms. The system uses an execution framework that is tailored for relational processing, thus addressing some of the performance challenges of running SQL on top of platforms such as MapReduce and Spark. These include excessive materialization of intermediate results, lack of a global cost-based optimization, unnecessary sorting, lack of index support, no statistics, no support for DML and ACID, and excessive communication caused by the rigid communication patterns enforced by these platforms.
  • Keywords
    "Relational databases","Big data","Query processing","Sparks","Parallel processing","Benchmark testing"
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing (CLUSTER), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/CLUSTER.2015.92
  • Filename
    7307639