连续查询的微分求值

Ling Liu, C. Pu, R. Barga, Tong Zhou
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引用次数: 69

摘要

我们将连续查询定义为监视更新信息的有用工具。连续查询是监视源数据并在新数据与查询匹配时通知用户的长期查询。除了定期刷新之外,连续查询还包括Epsilon Transaction概念,允许用户根据更新的大小指定查询刷新。为了支持连续查询的高效处理,我们提出了一种差分重求算法(DRA),该算法利用了查询表达式和数据库更新操作中包含的结构和信息。DRA设计可以看作是对先前关于差异文件、增量视图维护和活动数据库的研究的综合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differential evaluation of continual queries
We define continual queries as a useful tool for monitoring of updated information. Continual queries are standing queries that monitor the source data and notify the users whenever new data matches the query. In addition to periodic refresh, continual queries include Epsilon Transaction concepts to allow users to specify query refresh based on the magnitude of updates. To support efficient processing of continual queries, we propose a differential re-evaluation algorithm (DRA), which exploits the structure and information contained in both the query expressions and the database update operations. The DRA design can be seen as a synthesis of previous research on differential files, incremental view maintenance, and active databases.
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