Query Processing Techniques for Solid State Drives
Summary: Columnar per-page layout + selective projection reduces I/O for selections; FlashJoin pipelined join uses a join index and minimal base/intermediate data access. Implemented in PostgreSQL on an enterprise SSD; achieves up to 6x speed on TPC-H queries. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Dimitris Tsirogiannis (University of Toronto)
- 2. Stavros Harizopoulos (Hewlett Packard Enterprise)
- 3. Mehul A. Shah (Hewlett Packard Enterprise)
- 4. Janet L. Wiener (Hewlett Packard Enterprise)
- 5. Goetz Graefe (Hewlett Packard Enterprise)
BibTeX Citation
@inproceedings{tsirogiannis_sigmod09,
title = {{Query Processing Techniques for Solid State Drives}},
author = {Tsirogiannis, Dimitris and Harizopoulos, Stavros and Shah, Mehul A. and Wiener, Janet L. and Graefe, Goetz},
series = {{SIGMOD} '09},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1559845.1559854},
url = {https://dl.acm.org/doi/10.1145/1559845.1559854},
year = {2009}
}
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