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基于负载平衡的并行JOIN关系划分粒度研究

基于负载平衡的并行JOIN关系划分粒度研究
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摘要 Based on the analysis of the task sizes and the load, this paper discussps the granularity ofrelation spliting in the spliting phase taking acount of task load being less than average load,andprobes into the relationship between the granularity and load balancing. The minimum number ofbuckets is determined on the basis of relation spliting granularity,and the maximum number ofproduct tuples of each node is induced under the prerequisite for ensuring load balance in paralleljoin. Based on the analysis of the task sizes and the load,this paper discusses the granularity of relation spliting in the spitting phase taking acount of task load being less than average load,and probes into the relationship between the granularity and load balancing. The minimum number of buckets is determined on the basis of relation spliting granularity,and the maximum number of product tuples of each node is induced under the prerequisite for ensuring load balance in parallel join.
出处 《计算机科学》 CSCD 北大核心 1995年第1期75-77,共3页 Computer Science
基金 江苏省自然科学基金
关键词 JOIN 并行数据库 负载平衡 关系划分 粒度 Parallel join,Data skew,Parallel join load balancing,Spliting granularity.
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