Hypergraph based reorderings of outer join queries with complex predicates

  • Authors:

  • Gautam Bhargava;Piyush Goel;Bala Iyer

  • Affiliations:

  • IBM Santa Teresa Laboratory, 555 Bailey Avenue, San Jose, CA;IBM Santa Teresa Laboratory, 555 Bailey Avenue, San Jose, CA;IBM Santa Teresa Laboratory, 555 Bailey Avenue, San Jose, CA

  • Venue:
  • SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
  • Year:
  • 1995

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Abstract

Complex queries containing outer joins are, for the most part, executed by commercial DBMS products in an "as written" manner. Only a very few reorderings of the operations are considered and the benefits of considering comprehensive reordering schemes are not exploited. This is largely due to the fact there are no readily usable results for reordering such operations for relations with duplicates and/or outer join predicates that are other than "simple." Most previous approaches have ignored duplicates and complex predicates; the very few that have considered these aspects have suggested approaches that lead to a possibly exponential number of, and redundant intermediate joins. Since traditional query graph models are inadequate for modeling outer join queries with complex predicates, we present the needed hypergraph abstraction and algorithms for reordering such queries with joins and outer joins. As a result, the query optimizer can explore a significantly larger space of execution plans, and choose one with a low cost. Further, these algorithms are easily incorporated into well known and widely used enumeration methods such as dynamic programming.