Anfrageoptimierung
Content:
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.
Slides:
- Chapter 1: Introduction
- Chapter 2: Textbook Query Optimization
- Chapter 3: Join Ordering
- Chapter 4: Accessing the Data
- Chapter 5: Physical Properties
Exercise session:
- Session 1: Introduction
- Session 2: Logical Optimization
- Session 3: Query Graphs; Size of the Search Space
- Session 4: GOO, IKKBZ
- Session 5: MVP, DP
- Session 6: DP
- Session 7: DPccp, Query Simplification
- Session 8: Permutations. Randomized Algorithms
- Session 10: Randomized Algorithms
- Session 11: Counting the number of accesses
Exercises:
You can work on exercises in teams of two students. Specify names of both participants when submitting
- Exercise 1: Due April 28
- Exercise 2: Due May 5
- Exercise 3: Due May 12
- Exercise 4: Due May 19
- Exercise 5: Due May 26
- Exercise 6: Due June 2
- Exercise 7: Due June 9
- Exercise 8: Due June 23
- Exercise 10: Due July 7
Literature:
- 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)