Updateable Data-Driven Cardinality Estimator with Bounded Q-error
Updateable Data-Driven Cardinality Estimator with Bounded Q-error
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Modern Cardinality Estimators struggle with data updates. This research tackles this challenge within single-table. We introduce ICE, an Index-based Cardinality Estimator, the first data-driven estimator that enables instant, tuple-leveled updates. ICE has learned two key lessons from the multidimensional index and applied them to solve cardinality...
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Updateable Data-Driven Cardinality Estimator with Bounded Q-error
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TN_cdi_proquest_journals_3099943435
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3099943435
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2331-8422
