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Generating Queries with Cardinality Constraints for DBMS Testing

机译:生成具有基数约束的查询以进行DBMS测试

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Good testing coverage of novel database techniques, such as multidimensional histograms or changes in the execution engine, is a complex problem. In this work, we argue that this task requires generating query instances, not randomly, but based on a given set of constraints. Specifically, obtaining query instances that satisfy cardinality constraints on their subexpressions is an important challenge. We show that this problem is inherently hard, and develop heuristics that effectively find approximate solutions
机译:对新颖的数据库技术(例如多维直方图或执行引擎中的更改)进行良好的测试覆盖是一个复杂的问题。在这项工作中,我们认为此任务需要生成查询实例,而不是随机生成,而是基于给定的一组约束。具体来说,获得满足其子表达式基数约束的查询实例是一项重要的挑战。我们证明了这个问题本质上是困难的,并发展了启发式方法以有效地找到近似解

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