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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)

Paper ID
hf843912bce30dd9e
Venue
SIGMOD
Year
2005
Pagerank
8.6464837e-05
Overall Rank
2,318 | 84.42%
DOI
10.1145/1066157.1066223

Incoming Non-self Citations Over Time

Authors

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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