Design and Implementation of Distributed Query(DQ) Algorithm Processing Communication Data Based on Hadoop 基于Hadoop平台的通信数据分布式查询(DQ)算法的设计与实现
The Research and Application about Distributed Query(DQ) Processor on the Grid 网格环境下的分布式查询(DQ)处理器的研究与应用
To improve performance, federation frequently uses caching, materialized query tables ( MQTs ), and distributed query optimization and execution. 要改进性能,联合需要经常使用缓存、物理查询表(MQT)以及分布式查询(DQ)优化和执行。
An implementation method of distributed query technology 一种关于分布式查询(DQ)技术的实现方法
In a distributed query environment, the query is executed on each slice individually, and the top two elements of the merged lists are evaluated at the virtual database layer in memory. 在一个分布式的查询环境中,这个查询会在每个片上分别执行,并且这些合并列表顶部的两个元素的评估发生在内存内的虚拟数据库层。