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We introduce Deep Sketches, which are compact models of databases that allowus to estimate the result sizes of SQL queries. Deep Sketches are powered by anew deep learning approach to cardinality estimation that can capturecorrelations between columns, even across tables. Our demonstration allowsusers to define such sketches on the TPC-H and IMDb datasets, monitor thetraining process, and run ad-hoc queries against trained sketches. We alsoestimate query cardinalities with HyPer and PostgreSQL to visualize the gainsover traditional cardinality estimators.

Estimating Cardinalities with Deep Sketches