{"id":157859,"date":"2009-06-29T00:00:00","date_gmt":"2009-06-29T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/a-framework-for-testing-query-transformation-rules\/"},"modified":"2018-10-16T20:05:01","modified_gmt":"2018-10-17T03:05:01","slug":"a-framework-for-testing-query-transformation-rules","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-framework-for-testing-query-transformation-rules\/","title":{"rendered":"A Framework for Testing Query Transformation Rules"},"content":{"rendered":"
\n

In order to enable extensibility, modern query optimizers typically leverage a transformation rule based framework. Testing individual rule correctness as well as correctness of rule interactions is crucial in verifying the functionality of a query optimizer. While there has been a lot of work on how to architect optimizers for extensibility using a rule based framework, there has been relatively little work on how to test such optimizers. In this paper we present a framework for testing query transformation rules which enables: (a) efficient generation of queries that exercise a particular transformation rule or a set of rules and (b) efficient execution of corresponding test suites for correctness testing.<\/p>\n<\/div>\n

<\/p>\nOpens in a new tab<\/span>","protected":false},"excerpt":{"rendered":"

In order to enable extensibility, modern query optimizers typically leverage a transformation rule based framework. Testing individual rule correctness as well as correctness of rule interactions is crucial in verifying the functionality of a query optimizer. While there has been a lot of work on how to architect optimizers for extensibility using a rule based […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13560],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"msr_publishername":"Association for Computing Machinery, 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