A new window Clause for SQL++


연구 분야: Databases



학회: The VLDB Journal


초록

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.


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James Fang

University of California Riverside Riverside USA

United States
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Dmitry Lychagin

Snowflake Inc. (Work Performed While at Couchbase Inc.) San Mateo USA

Austria
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Michael J. Carey

University of California Irvine Irvine USA

United States

📄 논문 정보

발행 연도 2023년
인용수 0
출판 국가 United States, Austria
사이트 Springer
좋아요 수 0

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