Abstract
Sybase ASE (Adaptive Server Enterprise) is a cost based database system. Statistics information plays a key role in the costing model of ASE optimizer. Typically, up-to-date statistics is critical in selecting an optimal query plan with good performance. However, updating statistics is a resource intensive maintenance operation. A common user concern is the lack of input on when statistics needs to be updated and also the time taken to maintain the statistics. In this paper, we introduce a new solution for automating statistics maintenance in Sybase ASE 15.0. Our solution includes a new metric for evaluating data changes due to DMLs (Data Management Language), the use of a scheduler to generate rules to gather statistics based on feedback from the metric and random sampling of data when gathering statistics. This approach will make statistics maintenance more intelligent and efficient, and reduce the TCO (Total Cost of Ownership) significantly.
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© 2006 Springer-Verlag Berlin Heidelberg
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Sreenivasan, S., Zhou, X.M., Loh, T.K. (2006). Intelligent Statistics Management in Sybase ASE 15.0. In: Li Lee, M., Tan, KL., Wuwongse, V. (eds) Database Systems for Advanced Applications. DASFAA 2006. Lecture Notes in Computer Science, vol 3882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11733836_51
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DOI: https://doi.org/10.1007/11733836_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33337-1
Online ISBN: 978-3-540-33338-8
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