Learned Query Optimizers: Evaluation and Improvement
Query Optimization is considered to be one of the most important challenges in database management. Existing built-in query optimizers are very complex and rely on various approximations and hand-picked rules. The rise of deep learning and deep reinforcement learning has aided many scientific and in...
Main Authors: | Artem Mikhaylov, Nina S. Mazyavkina, Mikhail Salnikov, Ilya Trofimov, Fu Qiang, Evgeny Burnaev |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9828027/ |
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