HIVE-EC: Erasure Code Functionality in HIVE Through Archiving

  • Aatish ChiniahEmail author
  • Mungur Utam Avinash Einstein
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 887)


Most of the researches being conducted in the area of cloud storage using Erasure Codes are mainly concentrated in either finding optimal solution for a lesser storage capacity or lesser bandwidth consumption. In this paper, our goal is to provide Erasure Code functionalities directly from the application layer. For this purpose, we reviewed some application layer languages, namely, Hive, Pig and Oozie, and opt for the addition EC support in Hive. We develop several Hive commands that allow Hive tables to be first archived and then encoded or decoded with different parameters, such as join and union. We test our implementation using the MovieLen Dataset locally and on the cloud. We also compare the performance against a replicated system.


Cloud storage Erasure code Hive Hadoop Archiving 



We thank Associate Professor Anwitaman Datta from NTU, Singapore, for his constant support and expertise reviews that greatly assisted the research.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Aatish Chiniah
    • 1
    Email author
  • Mungur Utam Avinash Einstein
    • 1
  1. 1.Faculty of ICDTUniversity of MauritiusReduitMauritius

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