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
- 2. Vivek Narasayya
- 3. Manoj Syamala
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,967 | Compressed Linear Algebra for Large-Scale Machine Learning | 2016 | VLDB | 9.9131712e-05 |
| 4,802 | Resource Elasticity for Large-Scale Machine Learning | 2015 | SIGMOD | 5.9114415e-05 |
| 5,113 | Columnstore and B+ tree – Are Hybrid Physical Designs Important? | 2018 | SIGMOD | 5.687445e-05 |
| 6,367 | Good to the Last Bit: Data-Driven Encoding with CodecDB | 2021 | SIGMOD | 5.0941072e-05 |
| 8,578 | Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems | 2022 | VLDB | 4.4923477e-05 |
| 8,786 | AWARE: Workload-aware, Redundancy-exploiting Linear Algebra | 2023 | SIGMOD | 4.4521262e-05 |
| 10,291 | Morphing-based Compression for Data-centric ML Pipelines | 2026 | VLDB | 4.1945683e-05 |
| 11,415 | Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications | 2022 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 131 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.0004370331 |
| 158 | Automated Selection of Materialized Views and Indexes for SQL Databases | 2000 | VLDB | 0.00040071492 |
| 211 | Join Synopses for Approximate Query Answering | 1999 | SIGMOD | 0.00033981214 |
| 237 | An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server | 1997 | VLDB | 0.00031726304 |
| 258 | DB2 Design Advisor: Integrated Automatic Physical Database Design | 2004 | VLDB | 0.0003022091 |
| 378 | Towards Estimation Error Guarantees for Distinct Values | 2000 | PODS | 0.0002497492 |
| 661 | Database Tuning Advisor for Microsoft SQL Server 2005 | 2004 | VLDB | 0.00018481174 |
| 898 | Data Compression Support in Databases | 1994 | VLDB | 0.00015525779 |
| 1,417 | Data Compression in Oracle | 2003 | VLDB | 0.00012104308 |
| 2,856 | Efficient Index Compression in DB2 LUW | 2009 | VLDB | 8.0056412e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,404 | Revisiting B-tree Compression: An Experimental Study | 2024 | SIGMOD | 4.3441378e-05 |
| 1,134 | Dictionary-based Order-preserving String Compression for Main Memory Column Stores | 2009 | SIGMOD | 0.00013761456 |
| 8,578 | Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems | 2022 | VLDB | 4.4923477e-05 |
| 9,498 | Memory-Efficient Search Trees for Database Management Systems | 2021 | SIGMOD | 4.3341665e-05 |
| 2,856 | Efficient Index Compression in DB2 LUW | 2009 | VLDB | 8.0056412e-05 |
| 898 | Data Compression Support in Databases | 1994 | VLDB | 0.00015525779 |
| 131 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.0004370331 |
| 1,443 | Compressing SQL Workloads | 2002 | SIGMOD | 0.00011947004 |
| 7,429 | CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases | 2022 | SIGMOD | 4.7320139e-05 |
| 1,100 | Query Optimization In Compressed Database Systems | 2001 | SIGMOD | 0.00014072277 |