基于蚁群算法的分布式数据库查询优化方法
摘 分布式数据库查询优化中数据传输多连接次序往往决定查询执行速度通信代价小目标代价模型直研究重点随着大数据时代到来提高数据库查询效率成们所面首问题利用蚁群算法优化查询计划多元连接查询操作例进行模型建立算法实现Oracle数据库中进行仿真实验实验结果表明算法较好寻优效果分布式数据库查询优化具实际意义关键词 分布式数据库 查询优化 多元连接 蚁群算法中图分类号TP319 文献标志码A 文章编号1006-8228201405-47-03Abstract In the distributed database query optimization the speed of query depends on the data transfer and join sequence. The price model minimizing communication cost is the emphasis of research. Since the era of big data is coming the first important problem is how to enhance the speed of database query. Seeking the best query path by using the ant colony algorithm and taking multiple connection query as an example model building and algorithm implementation are carried on. The experimental results show that this algorithm has the better effect in selecting path and is practically meaningful for the query optimization
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