Chaudhuri et al., 2004 - Google Patents
Selectivity estimation for string predicates: Overcoming the underestimation problemChaudhuri et al., 2004
- Document ID
- 13908108075249535043
- Author
- Chaudhuri S
- Ganti V
- Gravano L
- Publication year
- Publication venue
- Proceedings. 20th International Conference on Data Engineering
External Links
Snippet
Queries with (equality or LIKE) selection predicates over string attributes are widely used in relational databases. However, state-of-the-art techniques for estimating selectivities of string predicates are often biased towards severely underestimating selectivities. We …
- 238000011156 evaluation 0 abstract description 8
Classifications
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- G06F17/30424—Query processing
- G06F17/30477—Query execution
- G06F17/30483—Query execution of query operations
- G06F17/30486—Unary operations; data partitioning operations
- G06F17/30492—Efficient disk access during query execution
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