应用半连接的分布式数据库查询优化算法

Query Optimization Algorithm of the Distributed Database with Half Connection

分布式数据库具有分布性和冗余性,导致分布式查询处理比较复杂,因此查询优化是一个非常重要的问题。针对大规模数据分析分布式数据库的数据分片机制,建立改进的数据分片模型,并根据分布式数据库的查询优化目标分析查询优化算法,对半连接查询优化算法进行改进。实例分析表明:改进的半连接查询算法极大地降低了传输代价,提高了查询效率。

With the characters of distributivity tributed query processing more complex. Query analyzed the mechanism of distributed database and redundancy, distributed database makes the dis-optimization is a very important problem. This article fragmentation according to the large scale data, and established an improved data triangulating model. According to the distributed database query optimi-zation, the algorithm of query optimization was analyzed objectively. And the example analysis shows that the improved algorithm of half connection inquires reduces the cost of transmission and increases the efficiency of inquiry.