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Query optimization for selections using bitmaps
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Source International Conference on Management of Data archive
Proceedings of the 1999 ACM SIGMOD international conference on Management of data table of contents
Philadelphia, Pennsylvania, United States
Pages: 227 - 238  
Year of Publication: 1999
ISBN:1-58113-084-8
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Author
Ming-Chuan Wu  Database Research Group, Computer Science Department, Technische Universität Darmstadt, Germany
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 41,   Citation Count: 12
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ABSTRACT

Bitmaps are popular indexes for data warehouse (DW) applications and most database management systems offer them today. This paper proposes query optimization strategies for selections using bitmaps. Both continuous and discrete selection criteria are considered. Query optimization strategies are categorized into static and dynamic. Static optimization strategies discussed are the optimal design of bitmaps, and algorithms based on tree and logical reduction. The dynamic optimization discussed is the approach of inclusion and exclusion for both bit-sliced indexes and encoded bitmap indexes.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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K.L. Wu, P.S. Yu, Range-Based Bitmap Indexing for High Cardinality Attributes with Skew, Research Report, IBM Watson Research Center, May 1996.

CITED BY  12