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Study on Optimized Algorithm for Distributed Database Direct-join Query

YU Xiuxia, Jianping Zhao

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Abstract

For distribute database query,join operation is the kind of the most common use with time-consuming and higher price and also it is the key confluence factor of the query efficiency.This paper presents an optimized query algorithm,which adopts direct-join using data partition and parallel processing.It can reduce the response time of query process.

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What this paper is about

For distribute database query,join operation is the kind of the most common use with time-consuming and higher price and also it is the key confluence factor of the query efficiency.This paper presents an optimized query algorithm,which adopts direct-join using data partition and parallel processing.It can reduce the response time of query process.

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Available abstract

For distribute database query,join operation is the kind of the most common use with time-consuming and higher price and also it is the key confluence factor of the query efficiency.This paper presents an optimized query algorithm,which adopts direct-join using data partition and parallel processing.It can reduce the response time of query process.

Key concepts: Computer science, Join (topology), Query optimization, Partition (number theory), Database, Sargable, Online aggregation, View

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