When Can We Trust Progress Estimators for SQL Queries?
Summary: Worst-case: for SQL progress estimation, no estimator beats the trivial 0–100% bound; they propose an optimal error-bound estimator for that regime. In typical SQL workloads, progress estimates are accurate with small errors; empirical results show such good scenarios are common, and combining estimators improves robustness. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Surajit Chaudhuri (Microsoft)
- 2. Raghav Kaushik (Microsoft)
- 3. Ravishankar Ramamurthy (Microsoft)
BibTeX Citation
@inproceedings{chaudhuri_sigmod05,
title = {{When Can We Trust Progress Estimators for SQL Queries?}},
author = {Chaudhuri, Surajit and Kaushik, Raghav and Ramamurthy, Ravishankar},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066223},
url = {https://dl.acm.org/doi/10.1145/1066157.1066223},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9 | Online Aggregation | 1997 | SIGMOD | 0.00076195956 |
| 57 | On Random Sampling over Joins | 1999 | SIGMOD | 0.00040108301 |
| 91 | On the Propagation of Errors in the Size of Join Results | 1991 | SIGMOD | 0.0003475226 |
| 135 | Ripple Joins for Online Aggregation | 1999 | SIGMOD | 0.00029866033 |
| 138 | Join Synopses for Approximate Query Answering | 1999 | SIGMOD | 0.00029627449 |
| 149 | Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans | 1998 | SIGMOD | 0.00028981723 |
| 283 | Balancing Histogram Optimality and Practicality for Query Result Size Estimation | 1995 | SIGMOD | 0.00022214789 |
| 481 | Robust Query Processing through Progressive Optimization | 2004 | SIGMOD | 0.00017603972 |
| 1,159 | Toward a Progress Indicator for Database Queries | 2004 | SIGMOD | 0.00011771949 |
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