期刊名称:Bulletin of the Technical Committee on Data Engineering
出版年度:2015
卷号:38
期号:3
出版社:IEEE Computer Society
摘要:There has been much research on various aspects of Approximate Query Processing (AQP), such asdifferent sampling strategies, error estimation mechanisms, and various types of data synopses. How-ever, many subtle challenges arise when building an actual AQP engine that can be deployed and usedby real world applications. These subtleties are often ignored (or at least not elaborated) by the theo-retical literature and academic prototypes alike. For the first time to the best of our knowledge, in thisarticle, we focus on these subtle challenges that one must address when designing an AQP system. Ourintention for this article is to serve as a handbook listing critical design choices that database practi-tioners must be aware of when building or using an AQP system, not to prescribe a specific solution toeach challenge.