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ViewDF: Declarative incremental view maintenance for streaming data

机译:ViewDF:声明式增量视图维护,用于流数据

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We present ViewDF: a flexible and declarative framework for incremental maintenance of materialized views (i.e., results of continuous queries) over streaming data. The main component of the proposed framework is the View Delta Function (ViewDF), which declaratively specifies how to update a materialized view when a new batch of data arrives. We describe and experimentally evaluate a prototype system based on this idea, which allows users to write ViewDFs directly and automatically translates common classes of streaming queries into ViewDFs. Our approach generalizes existing work on incremental view maintenance and enables new optimizations for views that are common in stream analytics, including those with pattern matching and sliding windows. (C) 2017 Elsevier Ltd. All rights reserved.
机译:我们提供ViewDF:一种灵活的声明式框架,用于通过流数据增量维护物化视图(即连续查询的结果)。提出的框架的主要组件是视图增量函数(ViewDF),它声明性地指定了在一批新数据到达时如何更新实例化视图。我们基于此思想描述并实验评估了原型系统,该系统允许用户直接编写ViewDF,并将自动将流查询的常见类转换为ViewDF。我们的方法概括了有关增量视图维护的现有工作,并对流分析中常见的视图(包括具有模式匹配和滑动窗口的视图)进行了新的优化。 (C)2017 Elsevier Ltd.保留所有权利。

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