Compression Aware Physical Database Design
Summary: Compression-aware design: integrate data compression into index decisions rather than decoupling them. Scalable approach implemented in SQL Server and DTA; validated on real workloads and TPC-H, generalizing to other compression schemes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hideaki Kimura (Brown University)
- 2. Vivek Narasayya (Microsoft)
- 3. Manoj Syamala (Microsoft)
BibTeX Citation
@article{kimura_vldb11,
title = {{Compression Aware Physical Database Design}},
author = {Kimura, Hideaki and Narasayya, Vivek and Syamala, Manoj},
journal = {PVLDB},
series = {{VLDB} '11},
volume = {4},
number = {10},
pages = {657--668},
doi = {10.14778/2002974.2002976},
url = {https://doi.org/10.14778/2002974.2002976},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,614 | Compressed Linear Algebra for Large-Scale Machine Learning | 2016 | VLDB | 0.00010071891 |
| 4,116 | Resource Elasticity for Large-Scale Machine Learning | 2015 | SIGMOD | 6.7961306e-05 |
| 4,690 | Columnstore and B+ tree – Are Hybrid Physical Designs Important? | 2018 | SIGMOD | 6.4687131e-05 |
| 5,471 | Good to the Last Bit: Data-Driven Encoding with CodecDB | 2021 | SIGMOD | 6.1181669e-05 |
| 8,384 | AWARE: Workload-aware, Redundancy-exploiting Linear Algebra | 2023 | SIGMOD | 5.3421754e-05 |
| 8,563 | Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems | 2022 | VLDB | 5.3138647e-05 |
| 10,945 | Morphing-based Compression for Data-centric ML Pipelines | 2026 | VLDB | 4.9793485e-05 |
| 11,921 | Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications | 2022 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 61 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.000392237 |
| 88 | Automated Selection of Materialized Views and Indexes for SQL Databases | 2000 | VLDB | 0.00035351639 |
| 138 | Join Synopses for Approximate Query Answering | 1999 | SIGMOD | 0.00029627449 |
| 151 | An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server | 1997 | VLDB | 0.00028672526 |
| 187 | DB2 Design Advisor: Integrated Automatic Physical Database Design | 2004 | VLDB | 0.0002592488 |
| 295 | Towards Estimation Error Guarantees for Distinct Values | 2000 | PODS | 0.00021914399 |
| 491 | Database Tuning Advisor for Microsoft SQL Server 2005 | 2004 | VLDB | 0.00017413042 |
| 999 | Data Compression Support in Databases | 1994 | VLDB | 0.00012617745 |
| 1,192 | Data Compression in Oracle | 2003 | VLDB | 0.00011590015 |
| 3,296 | Efficient Index Compression in DB2 LUW | 2009 | VLDB | 7.4473548e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,489 | Compressed Representations of Conjunctive Query Results | 2018 | PODS |
| 2 | 910 | Dictionary-based Order-preserving String Compression for Main Memory Column Stores | 2009 | SIGMOD |
| 3 | 8,563 | Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems | 2022 | VLDB |
| 4 | 9,786 | Memory-Efficient Search Trees for Database Management Systems | 2021 | SIGMOD |
| 5 | 3,296 | Efficient Index Compression in DB2 LUW | 2009 | VLDB |
| 6 | 999 | Data Compression Support in Databases | 1994 | VLDB |
| 7 | 61 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD |
| 8 | 1,242 | Compressing SQL Workloads | 2002 | SIGMOD |
| 9 | 6,737 | CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases | 2022 | SIGMOD |
| 10 | 900 | Query Optimization In Compressed Database Systems | 2001 | SIGMOD |