CSDL Home IEEE Transactions on Knowledge & Data Engineering 2001 vol.13 Issue No.01 - January/February
Issue No.01 - January/February (2001 vol.13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/69.908978
<p><b>Abstract</b>—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.</p>
Statistics, workload, query optimizer, query plan.
Surajit Chaudhuri, "Automating Statistics Management for Query Optimizers", IEEE Transactions on Knowledge & Data Engineering, vol.13, no. 1, pp. 7-20, January/February 2001, doi:10.1109/69.908978