Coarse-Grained Optimization: Techniques for Rewriting SQL Statement Sequences
Summary: Coarse-grained optimization for SQL sequences from a single request to overcome per-statement inefficiency. A lightweight, independent rewrite engine exploits cross-statement correlations via a small rule set, delivering strong performance gains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Tobias Kraft
- 2. Holger Schwarz
- 3. Ralf Rantzau
- 4. Bernhard Mitschang
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,674 | An Approach to Optimize Data Processing in Business Processes | 2007 | VLDB | 6.8558403e-05 |
| 12,469 | A Cost-Estimation Component for Statement Sequences | 2007 | VLDB | 4.1945683e-05 |
| 12,592 | CHICAGO: A Test and Evaluation Environment for Coarse-Grained Optimization | 2004 | VLDB | 4.1945683e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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