Flow-loss: learning cardinality estimates that matter
<jats:p> 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 model...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
VLDB Endowment,
2022-05-25T15:58:01Z.
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| Subjects: | |
| Online Access: | Get fulltext |