DeepO: A Learned Query Optimizer
Summary: DeepO: a deep-learning–based query optimizer integrated into PostgreSQL, addressing practical DBMS–learning interaction. Web UI enables interactive optimization; preliminary results show DeepO outperforming the baseline PostgreSQL optimizer. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Luming Sun
- 2. Tao Ji
- 3. Cuiping Li
- 4. Hong Chen
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 71 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059446482 |
| 371 | Self-Driving Database Management Systems | 2017 | CIDR | 0.00025382677 |
| 634 | Bao: Making Learned Query Optimization Practical | 2021 | SIGMOD | 0.00018844568 |
| 804 | An End-to-End Learning-based Cost Estimator | 2020 | VLDB | 0.0001643674 |
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