Can I read Exploiting Self-monitoring Sample Views for Cardinality Estimation on EtoBox?

Exploiting Self-monitoring Sample Views for Cardinality Estimation by Per-Ake Larson; Wolfgang Lehner; Jingren Zhou; Peter Zabback is a scholarly article available to read on EtoBox.

What is Exploiting Self-monitoring Sample Views for Cardinality Estimation about?

Good cardinality estimates are critical for generating good execution plans during query optimization. Complex predicates, correlations between columns, and user-defined functions are extremely hard to handle when using the traditional histogram approach. This demo illustrates the use of sample views for cardinality estimations as prototyped in Microsoft SQL Server. We show the creation of sample views, discuss how they are exploited during query optimization, and explain their potential effect on query plans. In addition, we also show our implementation of maintenance policies using statistical quality control techniques based on query feedback.

Author

Per-Ake Larson; Wolfgang Lehner; Jingren Zhou; Peter Zabback

Publisher

ACM

Published

2007

Language

EN