DeepO: A Learned Query Optimizer

Author:

Sun Luming1,Ji Tao1,Li Cuiping1,Chen Hong1

Affiliation:

1. Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education; School of Information, Renmin University of China, beijing, China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

National Key Research and Develop Plan

Publisher

ACM

Reference7 articles.

1. Charles Blundell , Julien Cornebise , Koray Kavukcuoglu , and Daan Wierstra . 2015 . Weight uncertainty in neural network . In International Conference on Machine Learning. PMLR, 1613--1622 . Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra. 2015. Weight uncertainty in neural network. In International Conference on Machine Learning. PMLR, 1613--1622.

2. How good are query optimizers, really?

3. Bao: Making Learned Query Optimization Practical

4. Andrew Pavlo , Gustavo Angulo , Joy Arulraj , Haibin Lin , Jiexi Lin , Lin Ma , Prashanth Menon , Todd C. Mowry , Matthew Perron , Ian Quah , Siddharth Santurkar , Anthony Tomasic , Skye Toor , Dana Van Aken , Ziqi Wang , Yingjun Wu , Ran Xian , and Tieying Zhang . [n.,d.]. Self-Driving Database Management Systems. In CIDR 2017, 8th Biennial Conference on Innovative Data Systems Research , Chaminade, CA, USA, January 8--11 , 2017 . Andrew Pavlo, Gustavo Angulo, Joy Arulraj, Haibin Lin, Jiexi Lin, Lin Ma, Prashanth Menon, Todd C. Mowry, Matthew Perron, Ian Quah, Siddharth Santurkar, Anthony Tomasic, Skye Toor, Dana Van Aken, Ziqi Wang, Yingjun Wu, Ran Xian, and Tieying Zhang. [n.,d.]. Self-Driving Database Management Systems. In CIDR 2017, 8th Biennial Conference on Innovative Data Systems Research, Chaminade, CA, USA, January 8--11, 2017 .

5. Luming Sun , Cuiping Li , Tao Ji , and Hong Chen . 2021 . MOSE: A Monotonic Selectivity Estimator Using Learned CDF . IEEE Transactions on Knowledge and Data Engineering ( 2021). Luming Sun, Cuiping Li, Tao Ji, and Hong Chen. 2021. MOSE: A Monotonic Selectivity Estimator Using Learned CDF. IEEE Transactions on Knowledge and Data Engineering (2021).

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