Bao: Making Learned Query Optimization Practical-Reference-Cited by-同舟云学术

Bao: Making Learned Query Optimization Practical

Published:2021-06-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Management of Data
language:
Short-container-title:

Author:

Marcus Ryan¹,Negi Parimarjan²,Mao Hongzi²,Tatbul Nesime¹,Alizadeh Mohammad²,Kraska Tim²

Affiliation:

1. Massachusetts Institute of Technology & Intel Labs, Cambridge, MA, USA

2. Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

NSF IIS

DARPA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3448016.3452838

Reference82 articles.

1. Bao for PostgreSQL prototype https://learned.systems/bao . Bao for PostgreSQL prototype https://learned.systems/bao .

2. Bao online appendix https://rm.cab/bao_appendix . Bao online appendix https://rm.cab/bao_appendix .

3. Google Cloud Platform https://cloud.google.com/. Google Cloud Platform https://cloud.google.com/.

4. MySQL hints https://dev.mysql.com/doc/refman/8.0/en/server-system-variables.html#sysvar_optimizer_switch . MySQL hints https://dev.mysql.com/doc/refman/8.0/en/server-system-variables.html#sysvar_optimizer_switch .

5. PostgreSQL hints https://www.postgresql.org/docs/current/runtime-config-query.html . PostgreSQL hints https://www.postgresql.org/docs/current/runtime-config-query.html .

Cited by 102 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards online training for RL-based query optimizer;International Journal of Data Science and Analytics;2024-09-10

2. What Goes Around Comes Around... And Around...;ACM SIGMOD Record;2024-07-30

3. Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems;Proceedings of the VLDB Endowment;2024-07

4. The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions;Proceedings of the VLDB Endowment;2024-07

5. Low Rank Approximation for Learned Query Optimization;Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management;2024-06-09