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Compressing SQL Workloads
Summary: Formalizes workload compression for SQL workloads to speed index selection and AQP. Introduces application-aware distance between statements to guide compression, not a metric; proves NP-hard via a k-Median reduction and shows gains on two tasks.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 3374
- Venue
- SIGMOD
- Year
- 2002
- Pagerank
- 0.00011947004
- Overall Rank
- 1,443 | 89.97%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 22 of 22 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 258 |
DB2 Design Advisor: Integrated Automatic Physical Database Design |
2004 |
VLDB |
0.0003022091 |
| 424 |
Tuning Database Configuration Parameters with iTuned |
2009 |
VLDB |
0.00023616398 |
| 679 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00018215154 |
| 716 |
Query-based Workload Forecasting for Self-Driving Database Management Systems |
2018 |
SIGMOD |
0.00017723171 |
| 1,260 |
Dynamic Sample Selection for Approximate Query Processing |
2003 |
SIGMOD |
0.00012993347 |
| 3,789 |
DIAMetrics: Benchmarking Query Engines at Scale |
2020 |
VLDB |
6.7644737e-05 |
| 3,809 |
Changing the Face of Database Cloud Services with Personalized Service Level Agreements |
2015 |
CIDR |
6.7409982e-05 |
| 4,240 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
6.3318228e-05 |
| 4,468 |
Comprehensive and Efficient Workload Compression |
2021 |
VLDB |
6.1584035e-05 |
| 4,549 |
Database-Agnostic Workload Management |
2019 |
CIDR |
6.0926728e-05 |
| 5,473 |
Facilitating SQL Query Composition and Analysis |
2020 |
SIGMOD |
5.4885366e-05 |
| 5,581 |
CliffGuard: A Principled Framework for Finding Robust Database Designs |
2015 |
SIGMOD |
5.424205e-05 |
| 5,686 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
5.3712312e-05 |
| 6,366 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
5.0943443e-05 |
| 8,041 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
4.5998045e-05 |
| 8,052 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
4.5953106e-05 |
| 8,272 |
Divergent Physical Design Tuning for Replicated Databases |
2012 |
SIGMOD |
4.5452316e-05 |
| 8,391 |
Goals and Benchmarks for Autonomic Configuration Recommenders |
2005 |
SIGMOD |
4.5287897e-05 |
| 9,467 |
Database Gyms |
2023 |
CIDR |
4.3346412e-05 |
| 9,929 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
4.2510122e-05 |
| 9,956 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression |
2025 |
VLDB |
4.2373024e-05 |
| 12,302 |
A Framework for Testing Query Transformation Rules |
2009 |
SIGMOD |
4.1945683e-05 |
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.
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