Query optimization is addressed shortly in Database Systems, this lecture looks at a broader topic of optimization techniques. It concentrates on the central issues like join ordering and access path selections, but gives an overview of the whole query processing machinery. The main goals of the lecture are twofold: First, to learn different optimization techniques, which are also relevant in other areas. And second, to get an understanding how queries are processed and why queries are fast or slow.
Note: This lecture will not be offered in winter term 2019/20! It will be offered next in WS 2020/21.
- Chapter 1: Introduction
- Chapter 2: Textbook Query Optimization
- Chapter 3: Join Ordering
- Chapter 4: Accessing the Data
- Chapter 5: Physical Properties
- Session 1: Introduction
- Session 2: Textbook Optimization
- Session 3: Selectivity Estimation
- Session 4: Query Graph, Join Tree
- Session 5: GOO, IKKBZ
- Session 6: MVP, DP
- Session 7: DPccp, DPhyp, Simplification
- Session 8: Randomized Algorithms
- Session 9: Metaheuristics
- Session 10: Q & A Session 1
- Session 11: Q & A Session 2
- Session 11: Yao
You can work on exercises in teams of two students. Specify names of both participants when submittingsee gitlab and mattermost
- J.D. Ullman. Database and Knowledge Base Systems. Computer Science Press, 1989.
- T. Özsu and J. Blakeley. Modern Database Systems. Addison Wesley, 1995.
- H. Garcia-Molina and J.D. Ullman and J. Widom. Database System Implementation. Prentice Hall, 1999.
- P. Gassner, G. Lohman, and K. Schiefer. Query optimization in the IBM DB2 family. IEEE Data Engineering Bulletin, 16:4 18, Dec. 1993.
- S. Chaudhuri. An Overview of Query Optimization in Relational Systems. PODS, 1998
- G. Moerkotte. Building Query Compilers. (draft)