DocumentCode :
2730480
Title :
Dynamic Materialized Views
Author :
Jingren Zhou ; Larson, P.A. ; Goldstein, Jordan ; Luping Ding
fYear :
2007
fDate :
15-20 April 2007
Firstpage :
526
Lastpage :
535
Abstract :
A conventional materialized view blindly materializes and maintains all rows of a view, even rows that are never accessed. We propose a more flexible materialization strategy aimed at reducing storage space and view maintenance costs. A dynamic materialized view selectively materializes only a subset of rows, for example, the most frequently accessed rows. One or more control tables are associated with the view and define which rows are currently materialized. The set of materialized rows can be changed dynamically, either manually or automatically by an internal cache manager using a feedback loop. Dynamic execution plans are generated to decide whether the view is applicable at run time. Experimental results in Microsoft SQL Server show that compared with conventional materialized views, dynamic materialized views greatly reduce storage requirements and maintenance costs while achieving better query performance with improved buffer pool efficiency.
Keywords :
query processing; control tables; dynamic execution plan; dynamic materialized views; flexible materialization strategy; Automatic control; Buffer storage; Costs; Database systems; Delay; Feedback loop; Material storage; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0802-4
Type :
conf
DOI :
10.1109/ICDE.2007.367898
Filename :
4221701
Link To Document :
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