Optimizing hash partitioning for solid state drives

Mincheol Shin, Hongchan Roh, Wonmook Jung, Sanghyun Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The use of flashSSDs has increased rapidly in a wide range of areas due to their superior energy efficiency, shorter access time, and higher bandwidth when compared to HDDs. The internal parallelism created by multiple flash memory packages embedded in a flashSSDs, is one of the unique features of flashSSDs. Many new DBMS technologies have been developed for flashSSDs, but query processing for flashSSDs have drawn less attention than other DBMS technologies. Hash partitioning is popularly used in query processing algorithms to materialize their intermediate results in an efficient manner. In this paper, we propose a novel hash partitioning algorithm that exploits the internal parallelism of flashSSDs. The devised hash partitioning method outperforms the traditional hash partitioning technique regardless of the amount of available main memory independently from the buffer management strategies (blocked I/O vs page sized I/O). We implemented our method based on the source code of the PostgreSQL storage manager. PostgreSQL relation files created by the TPC-H workload were employed in the experiments. Our method was found to be up to 3.55 times faster than the traditional method with blocked I/O, and 2.36 times faster than the traditional method with pagesized I/O.

Original languageEnglish
Title of host publication2016 Symposium on Applied Computing, SAC 2016
PublisherAssociation for Computing Machinery
Number of pages8
ISBN (Electronic)9781450337397
Publication statusPublished - 2016 Apr 4
Event31st Annual ACM Symposium on Applied Computing, SAC 2016 - Pisa, Italy
Duration: 2016 Apr 42016 Apr 8

Publication series

NameProceedings of the ACM Symposium on Applied Computing


Other31st Annual ACM Symposium on Applied Computing, SAC 2016

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (NRF-2015R1A2A1A05001845).

Publisher Copyright:
© 2016 ACM.

All Science Journal Classification (ASJC) codes

  • Software


Dive into the research topics of 'Optimizing hash partitioning for solid state drives'. Together they form a unique fingerprint.

Cite this