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- W4226110393 abstract "A powerful way to understand a complex query is by observing how it operates on data instances. However, specific database instances are not ideal for such observations: they often include large amounts of superfluous details that are not only irrelevant to understanding the query but also cause cognitive overload; and one specific database may not be enough. Given a relational query, is it possible to provide a simple and generic representative'' instance that (1) illustrates how the query can be satisfied, (2) summarizes all specific instances that would satisfy the query in the same way by abstracting away unnecessary details? Furthermore, is it possible to find a collection of such representative instances that together completely characterize all possible ways in which the query can be satisfied? This paper takes initial steps towards answering these questions. We design what these representative instances look like, define what they stand for, and formalize what it means for them to satisfy a query in all possible ways. We argue that this problem is undecidable for general domain relational calculus queries, and develop practical algorithms for computing a minimum collection of such instances subject to other constraints. We evaluate the efficiency of our approach experimentally, and show its effectiveness in helping users debug relational queries through a user study." @default.
- W4226110393 created "2022-05-05" @default.
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- W4226110393 date "2022-06-10" @default.
- W4226110393 modified "2023-09-27" @default.
- W4226110393 title "Understanding Queries by Conditional Instances" @default.
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- W4226110393 doi "https://doi.org/10.1145/3514221.3517898" @default.
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