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Automating Statistics Management for Query Optimizers

Surajit Chaudhuri and Vivek Narasayya


Statistics play a key role in influencing the quality of plans chosen by a database query optimizer. In this paper, we identify the statistics that are essential for an optimizer. We introduce novel techniques that help significantly reduce the set of statistics that need to be created without sacrificing the quality of query plans generated. We discuss how these techniques can be leveraged to automate statistics management in databases. We have implemented and experimentally evaluated our approach on Microsoft SQL Server 7.0.


Publication typeInproceedings
Published in16th International Conference on Data Engineering
PublisherIEEE Computer Society
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