Title
Query optimization using restructured views
Abstract
We study optimization of relational queries using materialized views, where views may be regular or restructured. In a restructured view, some data from the base table(s) are represented as metadata - that is, schema information, such as table and attribute names - or vice versa.Using restructured views in query optimization opens up a new spectrum of views that were not previously available, and can result in significant additional savings in query-evaluation costs. These savings can be obtained due to a significantly larger set of views to choose from, and may involve reduced table sizes, elimination of self-joins, clustering produced by restructuring, and horizontal partitioning.In this paper we propose a general query-optimization framework that treats regular and restructured views in a uniform manner and is applicable to SQL select-project-join queries and views with or without aggregation. Within the framework we provide (1) algorithms to determine when a view (regular or restructured) is usable in answering a query, and (2) algorithms to rewrite a query using usable views.Semantic information, such as knowledge of the key of a view, can be used to further optimize a rewritten query. Within our general query-optimization framework, we develop techniques for determining the key of a (regular or restructured) view, and show how this information can be used to further optimize a rewritten query. It is straightforward to integrate all our algorithms and techniques into standard query-optimization algorithms.
Year
DOI
Venue
2006
10.1145/1183614.1183706
CIKM
Keywords
Field
DocType
usable view,general query-optimization framework,schema information,select-project-join query,query optimization,attribute name,semantic information,base table,table size,standard query-optimization algorithm,materialized views,spectrum
Query optimization,SQL,USable,Metadata,Data mining,Information retrieval,Computer science,View,Cluster analysis,Materialized view,Schema (psychology),Database
Conference
ISBN
Citations 
PageRank 
1-59593-433-2
1
0.35
References 
Authors
23
2
Name
Order
Citations
PageRank
Rada Chirkova145036.53
Fereidoon Sadri2846283.70