Skip to main content

Bitmap-based Index Structures

  • Reference work entry
Encyclopedia of Database Systems

Synonyms

Bitmap Index; Projection Index

Definition

A bitmap-based index is a binary vector that represents an interesting property and indicates which objects in the dataset satisfy the given property. The vector has a 1 in position i if the i-th data object satisfies the property, and 0 otherwise. Queries are executed using fast bitwise logical operations supported by hardware over the binary vectors.t

Historical Background

Bitmap-based indexing was first implemented in Computer Corporation of America’s Model 204 in the mid-1980s by Dr. Patrick O’Neil. The bitmap index from Model 204 was a hybrid between verbatim (uncompressed) bitmaps and RID lists. Originally, a bitmap was created for each value in the attribute domain. The entire bitmap index is smaller than the original data as long as the number of distinct values is less than the number of bits used to represent the attribute in the original data. For example, if an integer attribute has cardinality 10 and integers are stored...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 2,500.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Antoshenkov, G. Byte-aligned bitmap compression. In Data Compression Conference, 1995. Oracle Corp.

    Google Scholar 

  2. Apaydin, T., Canahuate, G., Ferhatosmanoglu, H., and Tosun, A. Approximate encoding for direct access and query processing over compressed bitmaps. In Proc. 32nd Int. Conf. on Very Large Data Bases, 2006.

    Google Scholar 

  3. Canahuate, G., Gibas, M., Ferhatosmanoglu, H. Update conscious bitmap indices. In Proc. 19th Int. Conf. on Scientific and Statistical Database Management, 2007.

    Google Scholar 

  4. Chan, C.Y. and Ioannidis, Y.E. Bitmap index design and evaluation. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 1998.

    Google Scholar 

  5. Chan, C.Y. and Ioannidis, Y.E. An efficient bitmap encoding scheme for selection queries. ACM SIGMOD Rec., 1999.

    Google Scholar 

  6. Johnson, D., Krishnan, S., Chhugani, J., Kumar, S., and Venkatasubramanian, S. Compressing large boolean matrices using reordering techniques. In Proc. 30th Int. Conf. on Very Large Data Bases, 2004.

    Google Scholar 

  7. Koudas, N. Space efficient bitmap indexing. In Proc. Int. Conf. on Information and Knowledge Management, 2000.

    Google Scholar 

  8. O’Neil, P. and Quass, D. Improved query performance with variant indexes. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 1997.

    Google Scholar 

  9. Pinar, A., Tao, T., and Ferhatosmanoglu, H. Compressing bitmap indices by data reorganization. In Proc. 21st Int. Conf. on Data Engineering, 2005.

    Google Scholar 

  10. Rotem, D., Stockinger, K., and Wu, K. Optimizing candidate check costs for bitmap indices. In Proc. Int. on Information and Knowledge Management, 2005.

    Google Scholar 

  11. Rotem, D., Stockinger, K., and Wu, K. Minimizing I/O costs of multi-dimensional queries with bitmap indices. In Proc. 18th Int. Conf. on Scientific and Statistical Database Management, 2006.

    Google Scholar 

  12. Sinha, R., Winslett, M. Multi-resolution bitmap indexes for scientific data. ACM Trans. Database Syst., 2007.

    Google Scholar 

  13. Stockinger, K. Design and implementation of bitmap indices for scientific data. In Proc. Int. Conf. on Database Eng. and Applications, 2001.

    Google Scholar 

  14. Stockinger, K., Wu, K., and Shoshani, A. Evaluation strategies for bitmap indices with binning. In Proc. 15th Int. Conf. Database and Expert Syst. Appl., 2004.

    Google Scholar 

  15. Wong, H.K., Liu, H., Olken, F., Rotem, D., and Wong, L. Bit transposed files. In Proc. 11th Int. Conf. on Very Large Data Bases, 1985.

    Google Scholar 

  16. Wu, M-C. and Buchmann, A. Encoded bitmap indexing for data warehouses. In Proc. 14th Int. Conf. on Data Engineering, 1998.

    Google Scholar 

  17. Wu, K., Otoo, E.J., and Shoshani, A. On the performance of bitmap indices for high cardinality attributes. In Proc. 30th Int. Conf. on Very Large Data Bases, 2004.

    Google Scholar 

  18. Wu, K., Otoo, E.J., and Shoshani, A. Optimizing bitmap indexes with efficient compression. ACM Trans Database Syst., 2006.

    Google Scholar 

  19. Wu, K., Stockinger, K., Shoshani, A. Breaking the curse of cardinality on bitmap indexes. In Proc. 20th Int. Conf. on Scientific and Statistical Database Management, 2008.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this entry

Cite this entry

Canahuate, G., Ferhatosmanoglu, H. (2009). Bitmap-based Index Structures. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_1282

Download citation

Publish with us

Policies and ethics