This paper discusses the understanding on the parallel database from the architecture of parallel database systems, parallel database query, aggregation, sorting, and data reliability. 本文从并行数据库系统的体系结构、并行数据库的查询,聚集,排序及数据可靠性等方面入手,阐述了对并行数据库的认识和看法。
An Application Research on the Pipeline in Parallel Database Query(PDQ) Optimization 流水线技术在并行数据库查询(PDQ)优化中的应用研究
Parallel execution of the multi join query is one of the research emphases of the parallel database. The traditional parallel query processing algorithm can not capture the intrinsic characteristic of object oriented database and its query, and the efficiency of the traditional algorithm is low. 多元连接查询的并行执行是并行数据库的研究重点,传统的并行查询处理算法没有利用面向对象数据库及其查询的特点,算法效率较低。
As the basal functions of the geo-spatial database system, the paper gives the parallel design and parallel implementation of the two basal geo-spatial operations in the parallel geo-spatial database system, that is, the parallel geo-spatial range query and the parallel geo-spatial join. 空间操作是空间数据库的基本功能,本文给出了并行空间数据库中两种最为基础的空间操作的并行化设计与实现方法,即并行空间范围查询和并行空间连接操作。
A LBT-TREE ( Linear-Bushy-Tree ) based query optimization method for parallel database systems is presented in the paper. This method improves the old query optimization method based on Bushy-tree. 本文提出了一种基于LBT(Linear-Bushy-Tree)树的查询优化方法,它是对基于浓密树(Bushy-Tree)查询优化方法的一种改进。