Deductive Optimization of Relational Data Storage
March 08, 2019 Β· Declared Dead Β· π Proc. ACM Program. Lang.
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Authors
John K. Feser, Samuel Madden, Nan Tang, Armando Solar-Lezama
arXiv ID
1903.03229
Category
cs.PL: Programming Languages
Cross-listed
cs.DB
Citations
5
Venue
Proc. ACM Program. Lang.
Last Checked
3 months ago
Abstract
Optimizing the physical data storage and retrieval of data are two key database management problems. In this paper, we propose a language that can express a wide range of physical database layouts, going well beyond the row- and column-based methods that are widely used in database management systems. We use deductive synthesis to turn a high-level relational representation of a database query into a highly optimized low-level implementation which operates on a specialized layout of the dataset. We build a compiler for this language and conduct experiments using a popular database benchmark, which shows that the performance of these specialized queries is competitive with a state-of-the-art in memory compiled database system.
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