Demonstration of Chestnut: An In-memory Data Layout Designer for Database Applications
Summary: Chestnut is an in-memory data-layout designer for OO DB apps; given an app and memory budget, it yields layout and query plans. Demo visualizes layouts, supports iteration, and compares Chestnut-generated queries to relational plans, showing speedups. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mingwei Samuel
- 2. Alvin Cheung
- 3. Cong Yan
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,614 | New Directions in Cloud Programming | 2021 | CIDR | 5.4101976e-05 |
| 11,300 | Towards Auto-Generated Data Systems | 2023 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 237 | An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server | 1997 | VLDB | 0.00031726304 |
| 596 | HYRISE—A Main Memory Hybrid Storage Engine | 2011 | VLDB | 0.00019481482 |
| 1,807 | H2O: A Hands-free Adaptive Store | 2014 | SIGMOD | 0.00010487796 |
| 2,606 | Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn | 2019 | CIDR | 8.4645832e-05 |
| 3,072 | Constrained Physical Design Tuning | 2008 | VLDB | 7.6114086e-05 |
| 5,301 | ReCache: Reactive Caching for Fast Analytics over Heterogeneous Data | 2018 | VLDB | 5.5790928e-05 |
| 9,819 | Generating Application-Specific Data Layouts for In-memory Databases | 2019 | VLDB | 4.2774401e-05 |
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| 12,734 | DataSplash | 1998 | SIGMOD | 4.1945683e-05 |
| 12,766 | DEVise: Integrated Querying and Visual Exploration of Large Datasets (DEMO ABSTRACT) | 1997 | SIGMOD | 4.1945683e-05 |
| 7,010 | QueryScope: Visualizing Queries for Repeatable Database Tuning | 2008 | VLDB | 4.8634875e-05 |
| 11,290 | Demo of QueryBooster: Supporting Middleware-Based SQL Query Rewriting as a Service | 2023 | VLDB | 4.1945683e-05 |
| 11,710 | Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications | 2018 | SIGMOD | 4.1945683e-05 |
| 10,435 | Demo of LearnedWMP: Workload Memory Prediction Using Deep Query Template Representations | 2025 | SIGMOD | 4.1945683e-05 |
| 8,782 | EaseDB: A Cache-Oblivious In-Memory Query Processor | 2007 | SIGMOD | 4.452826e-05 |
| 5,107 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB | 5.6925578e-05 |
| 4,517 | Generating Databases for Query Workloads | 2010 | VLDB | 6.1178732e-05 |
| 9,819 | Generating Application-Specific Data Layouts for In-memory Databases | 2019 | VLDB | 4.2774401e-05 |