Complete Yet Practical Search for Minimal Query Reformulations Under ConstraintsReport as inadecuate

Complete Yet Practical Search for Minimal Query Reformulations Under Constraints - Download this document for free, or read online. Document in PDF available to download.

1 LTCI - Laboratoire Traitement et Communication de l-Information 2 LRI - Laboratoire de Recherche en Informatique 3 OAK - Database optimizations and architectures for complex large data LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623 4 DB CSE UCSD - Database group, Computer Science and engeenering Department San Diego

Abstract : We revisit the Chase&Backchase C&B algorithm for query refor-mulation under constraints, which provides a uniform solution to such particular-case problems as view-based rewriting under con-straints, semantic query optimization, and physical access path se-lection in query optimization. For an important class of queries and constraints, C&B has been shown to be complete, i.e. guaranteed to find all join-minimal reformulations under constraints. C&B is based on constructing a canonical rewriting candidate called a universal plan, then inspecting its exponentially many sub-queries in search for minimal reformulations, essentially removing redun-dant joins in all possible ways. This inspection involves chasing the subquery. Because of the resulting exponentially many chases, the conventional wisdom has held that completeness is a concept of mainly theoretical interest. We show that completeness can be preserved at practically rel-evant cost by introducing Prov C &B , a novel reformulation algo-rithm that instruments the chase to maintain provenance informa-tion connecting the joins added during the chase to the universal plan subqueries responsible for adding these joins. This allows it to directly -read off- the minimal reformulations from the result of a single chase of the universal plan, saving exponentially many chases of its subqueries. We exhibit natural scenarios yielding speedups of over two orders of magnitude between the execution of the best view-based rewriting found by a commercial query op-timizer and that of the best rewriting found by Prov C &B which the optimizer misses because of limited reasoning about constraints.

Keywords : chase database views integrity constraints query optimization

Author: Ioana Ileana - Bogdan Cautis - Alin Deutsch - Yannis Katsis -



Related documents