POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance
Summary: POLAR embeds alternative join orders in left‑deep pipelines and uses regret‑bounded tuple routing to find runtime “plans of least resistance”. Non‑invasive, self‑regulating AQP with bounded overhead (~7%) achieves up to 9× speedups and up to 15× gains over prior AQP, enabling practical adaptive join ordering. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. David Justen
- 2. Daniel Ritter
- 3. Campbell Fraser
- 4. Andrew Lamb
- 5. Nga Tran
- 6. Allison Lee
- 7. Thomas Bodner
- 8. Mhd Yamen Haddad
- 9. Steffen Zeuch
- 10. Volker Markl
- 11. Matthias Boehm
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,617 | Debunking the Myth of Join Ordering: Toward Robust SQL Analytics | 2025 | SIGMOD | 5.8811727e-05 |
| 9,327 | Are Joins over LSM-trees Ready? Take RocksDB as an Example | 2025 | VLDB | 5.3449422e-05 |
| 9,734 | Still Asking: How Good Are Query Optimizers, Really? | 2025 | VLDB | 5.2802856e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 50 of 68 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 9,608 | Efficient Query Re-optimization with Judicious Subquery Selections | 2023 | SIGMOD | 5.3067619e-05 |
| 3,877 | Simplicity Done Right for Join Ordering | 2021 | CIDR | 7.1096512e-05 |
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