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Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts

Beibin Li, Yao Lu, Srikanth Kandula. Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts. In Zachary Ives, Angela Bonifati, Amr El Abbadi, editors, SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022. pages 1920-1933, ACM, 2022. [doi]

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Beibin Li

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Yao Lu

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Srikanth Kandula

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