A new window Clause for SQL++

James Fang, Dmitry Lychagin, Michael J. Carey, Vassilis J. Tsotras
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Abstract

Window queries are important analytical tools for ordered data and have been researched both in streaming and stored data environments. By incorporating ideas for window queries from existing streaming and stored data systems, we propose a new window syntax that makes a wide range of window queries easier to write and optimize. We have implemented this new window syntax in SQL++, an SQL extension that supports querying semistructured data, on top of AsterixDB, a Big Data Management System, thus allowing us to process window queries over large datasets in a parallel and efficient manner.

Abstract Image

SQL++ 的新窗口条款
窗口查询是有序数据的重要分析工具,在流数据和存储数据环境中都有研究。通过融合现有流式数据系统和存储数据系统中的窗口查询思想,我们提出了一种新的窗口语法,使各种窗口查询更易于编写和优化。我们在大数据管理系统 AsterixDB 的 SQL++(支持查询半结构化数据的 SQL 扩展)中实现了这种新的窗口语法,从而使我们能够以并行和高效的方式处理大型数据集上的窗口查询。
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