Query2Vec: An Evaluation of NLP Techniques for Generalized Workload Analytics

17 Jan 2018 Shrainik Jain Bill Howe Jiaqi Yan Thierry Cruanes

We consider methods for learning vector representations of SQL queries to support generalized workload analytics tasks, including workload summarization for index selection and predicting queries that will trigger memory errors. We consider vector representations of both raw SQL text and optimized query plans, and evaluate these methods on synthetic and real SQL workloads... (read more)

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