Journal of East China Normal University(Natural Science) >

2016 , Vol. 2016 >Issue 5: 36 - 44

DOI: https://doi.org/10.3969/j.issn.1000-5641.2016.05.005

Distributed secondary index based on LSM Tree

  • LONG Fei ,
  • WENG Hai-xing ,
  • GAO Ming ,
  • ZHANG Zhao
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  • Institute for Data Science and Engineering, East China Normal University, Shanghai 200062, China

Received date: 2016-06-27

  Online published: 2016-11-29

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Abstract

In recent years, Log-Structured-Merge Tree has been widely used in NoSQL systems. This is mainly because it has proposed two algorithms: update delayed and batch write, convert random write to batch write, reducing the cost of moving the disk arm therefore the write performance of database has been enhanced greatly. However, the read performance of database has also been affected negatively. The essential difference between LSM Tree and B Tree makes NoSQL not suitable for using B Tree as index structure directly. This paper implements a distributed secondary index based on LSM Tree, and proposes a bulk loading method in this read and write separation architecture. We also do lots of works on the optimization of index query plan to avoid repeatly query parsing IO so that the performance of index read has been greatly improved.

Key words： Secondary Index; LSM Tree; NoSQL

Cite this article

LONG Fei , WENG Hai-xing , GAO Ming , ZHANG Zhao . Distributed secondary index based on LSM Tree[J]. Journal of East China Normal University(Natural Science), 2016 , 2016(5) : 36 -44 . DOI: 10.3969/j.issn.1000-5641.2016.05.005

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