query optimization

Parallel query optimization is the critical technique of parallel database system.

查询优化是并行数据库系统的核心技术.

Linear-bushy-tree based query optimization algorithms for parallel database systems

基于线性浓密树的并行数据库查询优化算法

Database System Design, Implementation, and Administration, Query Optimization, and SQL Performance Tuning.

数据库系统设计, 实施, 管理, 查询优化和SQL性能调优.

The multi-join query optimization is one of the the critical problem of parallel query optimization.

多连接查询的优化问题是并行查询优化的关键问题之一.

There are two different standards to evaluate the results of query optimization in distributed database system.

在分布式数据库系统中,常以两种不同的目标来考虑查询优化.

Since response time should be small, query optimization is critical.

为了实时响应查询, 查询优化非常重要.

However, there are few multi-join query optimization methods based on pc clusters now.

然而, 目前在基于机群并行计算环境的多连接查询的优化算法的研究工作还很少.

Histogram can also be used in spatiotemporal query optimization after some improvements.

通过特定的改进,直方图也可应用到时空查询优化中.

Query optimization is the critical technique of parallel database systems.

查询优化是并行数据库的核心技术。

Query Optimization Mechanism in Parallel Database System PBASE/ 2

并行数据库系统PBASE/2的查询优化机制

Analysis and Application of Relation Database Query Optimization Strategy

关系数据库查询优化策略的分析与应用

An Application Research on the Pipeline in Parallel Database Query Optimization

流水线技术在并行数据库查询优化中的应用研究