Primitives for Workload Summarization and Implications for SQL
Summary: Proposes a compact set of primitives for scalable SQL workload summarization, enabling DBA tasks and query-log analytics. Shows SQL inadequacies for these primitives and outlines extensions to SQL and the relational engine to support efficient, practical summarization. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Surajit Chaudhuri (Microsoft)
- 2. Prasanna Ganesan (Stanford University)
- 3. Vivek Narasayya (Microsoft)
BibTeX Citation
@article{chaudhuri_vldb03,
title = {{Primitives for Workload Summarization and Implications for SQL}},
author = {Chaudhuri, Surajit and Ganesan, Prasanna and Narasayya, Vivek},
journal = {PVLDB},
series = {{VLDB} '03},
doi = {10.1016/B978-012722442-8/50070-7},
url = {https://doi.org/10.1016/B978-012722442-8/50070-7},
year = {2003}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,513 | Variance Aware Optimization of Parameterized Queries | 2010 | SIGMOD | 7.354613e-05 |
| 3,635 | Changing the Face of Database Cloud Services with Personalized Service Level Agreements | 2015 | CIDR | 7.2343405e-05 |
| 4,053 | Database-Agnostic Workload Management | 2019 | CIDR | 6.9355341e-05 |
| 4,084 | Comprehensive and Efficient Workload Compression | 2021 | VLDB | 6.9151691e-05 |
| 5,869 | ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning | 2022 | SIGMOD | 6.0610922e-05 |
| 7,740 | Oracle Workload Intelligence | 2015 | SIGMOD | 5.5550801e-05 |
| 10,105 | SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression | 2025 | VLDB | 5.1435736e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10 | 1,266 | Compressing SQL Workloads | 2002 | SIGMOD |