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 |
|---|---|---|---|---|
| 1,970 | Compressed Linear Algebra for Large-Scale Machine Learning | 2016 | VLDB | 9.9024431e-05 |
| 4,807 | Resource Elasticity for Large-Scale Machine Learning | 2015 | SIGMOD | 5.9045148e-05 |
| 5,114 | Columnstore and B+ tree – Are Hybrid Physical Designs Important? | 2018 | SIGMOD | 5.6813929e-05 |
| 6,366 | Good to the Last Bit: Data-Driven Encoding with CodecDB | 2021 | SIGMOD | 5.0892171e-05 |
| 8,575 | Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems | 2022 | VLDB | 4.4880409e-05 |
| 8,782 | AWARE: Workload-aware, Redundancy-exploiting Linear Algebra | 2023 | SIGMOD | 4.4478585e-05 |
| 10,303 | Morphing-based Compression for Data-centric ML Pipelines | 2026 | VLDB | 4.1905499e-05 |
| 11,418 | Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications | 2022 | VLDB | 4.1905499e-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 |
|---|---|---|---|---|
| 132 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.00043697853 |
| 160 | Automated Selection of Materialized Views and Indexes for SQL Databases | 2000 | VLDB | 0.00040053897 |
| 212 | Join Synopses for Approximate Query Answering | 1999 | SIGMOD | 0.00033997204 |
| 237 | An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server | 1997 | VLDB | 0.00031727601 |
| 258 | DB2 Design Advisor: Integrated Automatic Physical Database Design | 2004 | VLDB | 0.00030196528 |
| 380 | Towards Estimation Error Guarantees for Distinct Values | 2000 | PODS | 0.00024943236 |
| 662 | Database Tuning Advisor for Microsoft SQL Server 2005 | 2004 | VLDB | 0.00018478597 |
| 894 | Data Compression Support in Databases | 1994 | VLDB | 0.00015516667 |
| 1,415 | Data Compression in Oracle | 2003 | VLDB | 0.00012102269 |
| 2,863 | Efficient Index Compression in DB2 LUW | 2009 | VLDB | 7.9982677e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,410 | Revisiting B-tree Compression: An Experimental Study | 2024 | SIGMOD | 4.3399748e-05 |
| 1,134 | Dictionary-based Order-preserving String Compression for Main Memory Column Stores | 2009 | SIGMOD | 0.00013751593 |
| 8,575 | Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems | 2022 | VLDB | 4.4880409e-05 |
| 9,499 | Memory-Efficient Search Trees for Database Management Systems | 2021 | SIGMOD | 4.3300131e-05 |
| 2,863 | Efficient Index Compression in DB2 LUW | 2009 | VLDB | 7.9982677e-05 |
| 894 | Data Compression Support in Databases | 1994 | VLDB | 0.00015516667 |
| 132 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.00043697853 |
| 1,443 | Compressing SQL Workloads | 2002 | SIGMOD | 0.00011944621 |
| 7,431 | CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases | 2022 | SIGMOD | 4.7274757e-05 |
| 1,098 | Query Optimization In Compressed Database Systems | 2001 | SIGMOD | 0.00014070252 |