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Joining Ranked Inputs in Practice

Summary: NRA-RJ, a practical pipelined operator joining ranked streams to produce a global rank from a score function. Bridges Fagin’s optimal aggregation to a scalable implementation; experiments on medical video workloads show NRA-RJ outperforms rival rank-join methods for equi-joins. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9104
Venue
VLDB
Year
2002
Pagerank
7.8483041e-05
Overall Rank
3,017 | 79.31%
DOI
10.1016/B978-155860869-6/50094-9

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ilyas_vldb02,
        title = {{Joining Ranked Inputs in Practice}},
        author = {Ilyas, Ihab F. and Aref, Walid G. and Elmagarmid, Ahmed K.},
        journal = {PVLDB},
        series = {{VLDB} '02},
        doi = {10.1016/B978-155860869-6/50094-9},
        url = {https://doi.org/10.1016/B978-155860869-6/50094-9},
        year = {2002}
}

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