Renovating Database Queries with Query AutoAwesome

被引：0
|
作者：
Suryavanshi, Chetna [1 ]
Dyreson, Curtis [2 ]
Adams, Jonathan [2 ]
机构：
[1] Micron, Boise, ID 83707 USA
[2] Dept Comp Sci, Logan, UT USA
来源：
2019 IEEE 20TH INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION FOR DATA SCIENCE (IRI 2019) | 2019年
关键词：
D O I：
10.1109/IRI.2019.00048
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Querying is an important database activity, typically occurring more frequently than update. Programmers invest time and effort into developing a set of queries. We propose reusing these queries with Query AutoAwesome (QAA). QAA is a system to automatically enhance queries. QAA was inspired by Google's Auto Awesome tool, which provides automatic enhancements of photos. QAA ingests a query, the database schema, and the data to enhance a query. QAA can reuse a query in several ways, such as replacing a literal with a choice of alternatives. From among the pool of potential enhancements it is important to choose the top-k generated queries. To do so we introduce objective functions to measure the enhancement and rank potential queries.
引用
收藏
页码：253 / 260
页数：8
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