Query Plan Optimization and Migration Strategy over Data Stream

Zhang Lijie, Wang Ya-xuan
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引用次数: 2

Abstract

Continuous queries are the more interesting class of data stream queries. The answer to a continuous query is continuously produced over time unless stopped artificially. During an executed continuous query, the run environment changes continuously, meanwhile some properties of data stream itself change too, such as input rate, selectivity of operators and execute time and so on. In order to adapt the continuity of queries and variability of system environment and date itself during continuous query, this paper presents a query plan optimization and migration strategy based on multi-factors and gives corresponding algorithm. Experiments have proved that this optimization and migration strategy ensures output results correctness and time sequence, meanwhile validly increases throughput and output rate and reduces output time latency.
基于数据流的查询计划优化与迁移策略
连续查询是数据流查询中更有趣的一类。除非人为停止,否则连续查询的答案会随着时间的推移而不断产生。在执行连续查询的过程中,运行环境不断变化,同时数据流本身的一些属性也在变化,如输入率、操作符的选择性和执行时间等。为了适应连续查询过程中查询的连续性以及系统环境和数据本身的可变性,提出了一种基于多因素的查询计划优化和迁移策略,并给出了相应的算法。实验证明,该优化迁移策略保证了输出结果的正确性和时序性,同时有效地提高了吞吐量和输出速率,降低了输出时延。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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