SUDAF: Sharing User-Defined Aggregate Functions

Chao Zhang, F. Toumani, B. Doreau
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引用次数: 2

Abstract

We present SUDAF (Sharing User-Defined Aggregate Functions), a declarative framework that allows users to formulate UDAFs as mathematical expressions and use them in SQL statements. SUDAF rewrites partial aggregates of UDAFs using built-in aggregate functions and supports efficient dynamic caching and reusing of partial aggregates. Our evaluation shows that using SUDAF on top of Spark SQL can lead from one to two orders of magnitude improvement in query execution times compared to the original Spark SQL.
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SUDAF:共享用户自定义聚合函数
我们提出了SUDAF(共享用户定义聚合函数),这是一个声明性框架,允许用户将udaf表述为数学表达式,并在SQL语句中使用它们。SUDAF使用内置的聚合函数重写udaf的部分聚合,并支持高效的动态缓存和部分聚合的重用。我们的评估表明,与原始Spark SQL相比,在Spark SQL之上使用SUDAF可以使查询执行时间提高一到两个数量级。
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