Some Cardinality Estimates are More Equal than Others

Recently there has been significant interest in using machine learning to improve the accuracy of cardinality estimation. This work has focused on improving average estimation error, but not all estimates matter equally for downstream tasks like query optimization. Since learned models inevitably ma...

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Bibliographic Details
Main Author: Negi, Parimarjan
Other Authors: Alizadeh, Mohammad
Format: Thesis
Published: Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/143367
https://orcid.org/0000-0002-8442-9159