Wred: Workload Reduction for Scalable Index Tuning
Summary: Introducing Wred, a workload-reduction that rewrites queries to drop unhelpful columns/tables, accelerating what-if calls for index tuning. With Isum, it yields 10.5x median speedup (up to 24.7x) with ~5% loss, validated on industry benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Matteo Brucato
- 2. Tarique Siddiqui
- 3. Wentao Wu
- 4. Vivek Narasayya
- 5. Surajit Chaudhuri
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,006 | Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems | 2024 | VLDB | 4.4101482e-05 |
| 9,930 | Wii: Dynamic Budget Reallocation In Index Tuning | 2024 | SIGMOD | 4.2510122e-05 |
| 10,125 | Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] | 2026 | SIGMOD | 4.1945683e-05 |
| 10,543 | Esc: An Early-Stopping Checker for Budget-aware Index Tuning | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,337 | Learned Index Benefits: Machine Learning Based Index Performance Estimation | 2022 | VLDB | 5.5635208e-05 |
| 1,488 | On the Analysis of Indexing Schemes | 1997 | PODS | 0.00011699446 |
| 5,686 | Budget-aware Index Tuning with Reinforcement Learning | 2022 | SIGMOD | 5.3712312e-05 |
| 9,930 | Wii: Dynamic Budget Reallocation In Index Tuning | 2024 | SIGMOD | 4.2510122e-05 |
| 8,642 | Automatic Workload Driven Index Defragmentation | 2011 | VLDB | 4.4785896e-05 |
| 7,336 | Refactoring Index Tuning Process with Benefit Estimation | 2024 | VLDB | 4.7599411e-05 |
| 8,655 | Adaptive Hybrid Indexes | 2022 | SIGMOD | 4.4739554e-05 |
| 1,443 | Compressing SQL Workloads | 2002 | SIGMOD | 0.00011947004 |
| 8,041 | DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning | 2022 | VLDB | 4.5998045e-05 |
| 6,366 | ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning | 2022 | SIGMOD | 5.0943443e-05 |