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A performance comparison of bitmap indexes

Published: 05 October 2001 Publication History
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  • Abstract

    We present a comparison of two new word-aligned schemes with some schemes for compressing bitmap indexes, including the well-known byte-aligned bitmap code (BBC). On both synthetic data and real application data, the new word-aligned schemes use only 50% more space, but perform logical operations on compressed data 12 times faster than BBC. The new schemes achieve this performance advantage by guaranteeing that during logical operations every machine instruction performs useful work on words rather than on bytes or bits as in BBC.

    References

    [1]
    G. Antoshenkov and M. Ziauddin. Query processing and optimization in ORACLE RDB. The VLDB Journal, 5:229-237, 1996.
    [2]
    T. Johnson. Performance measurements of compressed bitmap indices. In VLDB'99, 1999. Pages 278-289.
    [3]
    A. Shoshani, L. M. Bernardo, H. Nordberg, D. Rotem, and A. Sim. Multidimensional indexing and query coordination for tertiary storage management. In SSDBM'99. Pages 214-225. 1999.
    [4]
    K. Wu, E. J. Otoo, and A. Shoshani. Word-aligned compressed bitmaps. Technical Report LBNL-47807, Lawrence Berkeley National Laboratory, Berkeley, CA, 2001.
    [5]
    K. Wu, E. J. Otoo, A. Shoshani, and H. Nordberg. Notes on design and implementation of compressed bit vectors. Technical Report LBNL/PUB-3161, Lawrence Berkeley National Laboratory, Berkeley, CA, 2001.

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    cover image ACM Conferences
    CIKM '01: Proceedings of the tenth international conference on Information and knowledge management
    October 2001
    616 pages
    ISBN:1581134363
    DOI:10.1145/502585
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

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    Published: 05 October 2001

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    • (2023)FLIXR: Embedding Index Into Flash Translation Layer in SSDsIEEE Transactions on Computers10.1109/TC.2022.315460272:1(250-263)Online publication date: 1-Jan-2023
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    • (2020)Database and Caching Support for Adaptive Visualization of Large Sensor DataProceedings of the 7th ACM IKDD CoDS and 25th COMAD10.1145/3371158.3371170(98-106)Online publication date: 5-Jan-2020
    • (2017)A Survey of Techniques for the Representation of Very Large Access Control MatricesFrontier Computing10.1007/978-981-10-3187-8_8(67-77)Online publication date: 27-Sep-2017
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    • (2016)Performance evaluation of word-aligned compression methods for bitmap indicesKnowledge and Information Systems10.1007/s10115-015-0877-948:2(277-304)Online publication date: 1-Aug-2016
    • (2016)Hybrid query optimization for hard-to-compress bit-vectorsThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-015-0419-925:3(339-354)Online publication date: 1-Jun-2016
    • (2015)Efficient Indexing and Querying of Massive Astronomical Data Using Compressed Word-Aligned Hybrid Bitmap2015 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2015.277(1567-1572)Online publication date: Oct-2015
    • (2015)PABIRS: A data access middleware for distributed file systems2015 IEEE 31st International Conference on Data Engineering10.1109/ICDE.2015.7113277(113-124)Online publication date: May-2015
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