A BiLSTM cardinality estimator in complex database systems based on attention mechanism

A BiLSTM cardinality estimator in complex database systems based on attention mechanism

Abstract An excellent cardinality estimation can make the query optimiser produce a good execution plan. Although there are some studies on cardinality estimation, the prediction results of existing cardinality estimators are inaccurate and the query efficiency cannot be guaranteed as well. In parti...

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Bibliographic Details
Main Authors: Qiang Zhou, Guoping Yang, Haiquan Song, Jin Guo, Yadong Zhang, Shengjie Wei, Lulu Qu, Louis Alberto Gutierrez, Shaojie Qiao
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
query processing
database management systems
recurrent neural nets
deep learning (artificial intelligence)
estimation theory
Online Access:https://doi.org/10.1049/cit2.12069

Internet

https://doi.org/10.1049/cit2.12069

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