Query optimization and processing is a critical component of parallel database systems.
查询优化和处理是并行数据库管理系统的关键组成部分。
Data declustering is the foundation of the parallel processing of database query, which has significant effect on query performance.
数据分布是数据库查询并行处理的基础,良好的数据分布方法对查询性能有着重要影响。
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.
本文利用数据分片和并行处理策略,提出一种采用直接连接的查询优化算法,能有效地缩减查询处理的响应时间。
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