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Parallel SQL on Tandem's NonStop SQL

Authors: Norbert Duppel;

Parallel SQL on Tandem's NonStop SQL

Abstract

A comparison is made of a number of different strategies for the concurrent execution of multiple SQL (structured query language) statements on a completely nonsharing multiprocessor system. The author gives some preliminary results in the form of heuristics derived from measurements on a Tandem system. The measurements indicate that in such an environment in most cases the single evaluation of common subexpressions offers no benefits over concurrent execution. Two heuristics have been identified for the evaluation of two frequent structures. It is shown that vertical partitioning performs better than horizontal partitioning of query trees, and that selections should be pushed down to common subtrees. >

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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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