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Scalable Approximate Query Processing With The DBO Engine

机译:使用DBO引擎的可扩展近似查询处理

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This paper describes query processing in the DBO database system. Like other database systems designed for ad-hoc, analytic processing, DBO is able to compute the exact answer to queries over a large relational database in a scalable fashion. Unlike any other system designed for analytic processing, DBO can constantly maintain a guess as to the final answer to an aggregate query throughout execution, along with statistically meaningful bounds for the guess's accuracy. As DBO gathers more and more information, the guess gets more and more accurate, until it is 100% accurate as the query is completed. This allows users to stop the execution at any time that they are happy with the query accuracy, and encourages exploratory data analysis.
机译:本文介绍了DBO数据库系统中的查询处理。像为临时分析处理设计的其他数据库系统一样,DBO能够以可伸缩的方式计算大型关系数据库上查询的确切答案。与为分析处理而设计的任何其他系统不同,DBO可以在整个执行过程中不断维护对汇总查询的最终答案的猜测,并为猜测的准确性提供统计上有意义的界限。随着DBO收集越来越多的信息,猜测变得越来越准确,直到查询完成时100%准确为止。这使用户可以在对查询准确性感到满意的任何时候停止执行,并鼓励进行探索性数据分析。

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