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Materialized View Tuning Mechanism and Usability Enhancement

Authors: Tsae-Feng Yu; Thomas Tong; Min Xiao; Jack Raitto;

Materialized View Tuning Mechanism and Usability Enhancement

Abstract

The materialized view technology has been widely adopted in the data warehouse systems to improve query performance. Two key underlying techniques are materialized view incremental refresh and query rewrite. However, due to the potential complexity of the materialized view defining query and dependency on the materialized view change log, not all materialized views are incrementally refreshable or generally query rewritable. Many restrictions need to be applied and addressed which make the materialized view not easy to use. This paper presents Oracle's tuning mechanism/tool to facilitate the materialized view creation by automatically fixing and/or decomposing the defining query and addressing the change log requirements. The resulting materialized view implemented by a set of recommendation statements achieves the goals of incremental maintenance and broad query rewrite.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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