And it implements parallel query processing through query localization based on data partitioning and replication.
利用数据划分和复制将查询本地化从而实现并行查询。
DB2 UDB V5 extended parallel processing even further by introducing sysplex query parallelism.
DB 2UDBV 5引入了sysplex查询并行，进一步扩展了并行处理。
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。
Based on this, the parallel processing strategy for cyclic query is proposed.
以此为基础，进一步提出了循环查询的并行处理策略。
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。
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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