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Reordering Query Execution in Tertiary Memory Databases

Summary: Dynamic runtime reordering of data fetches across the entire plan-tree in tertiary memory. Postgres prototype shows significant I/O cost reduction over conventional query processing by aligning execution with the optimal fetch order across the plan-tree. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8531
Venue
VLDB
Year
1996
Pagerank
6.7706796e-05
Overall Rank
4,305 | 70.47%
DOI
10.1016/B978-1-55860-382-6.50019-1

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{sarawagi_vldb96,
        title = {{Reordering Query Execution in Tertiary Memory Databases}},
        author = {Sarawagi, Sunita and Stonebraker, Michael},
        journal = {PVLDB},
        series = {{VLDB} '96},
        volume = {22},
        pages = {156--167},
        doi = {10.1016/B978-1-55860-382-6.50019-1},
        url = {https://doi.org/10.1016/B978-1-55860-382-6.50019-1},
        year = {1996}
}

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