CODS: Evolving Data Efficiently and Scalably in Column Oriented Databases
Summary: CODS enables efficient, scalable data evolution after schema changes in column stores. It bypasses query-result materialization and redundant compression/decompression, delivering orders-of-magnitude speedups over conventional RDBMS approaches. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Ziyang Liu (Arizona State University)
- 2. Sivaramakrishnan Natarajan (Arizona State University)
- 3. Bin He (IBM)
- 4. Hui-I Hsiao (IBM)
- 5. Yi Chen (Arizona State University)
BibTeX Citation
@article{liu_vldb10,
title = {{CODS: Evolving Data Efficiently and Scalably in Column Oriented Databases}},
author = {Liu, Ziyang and Natarajan, Sivaramakrishnan and He, Bin and Hsiao, Hui-I and Chen, Yi},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {2},
pages = {1521--1532},
doi = {10.14778/1920841.1921028},
url = {https://doi.org/10.14778/1920841.1921028},
year = {2010}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00069513174 |
| 60 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.0003955489 |
| 2,038 | Graceful Database Schema Evolution: the PRISM Workbench | 2008 | VLDB | 9.2727673e-05 |
| 4,334 | Managing and Querying Transaction-time Databases under Schema Evolution | 2008 | VLDB | 6.7557503e-05 |
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