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External Merge Sort for Top-K Queries: Eager input filtering guided by histograms

Summary: Introduces an external top-k algorithm with histogram-guided eager filtering to prune input before sorting, even when memory is insufficient. Implemented in F1 Query; reduces I/O and yields up to 11× speedup over external sorts in production. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6006
Venue
SIGMOD
Year
2020
Pagerank
5.3092396e-05
Overall Rank
9,172 | 37.08%
DOI
10.1145/3318464.3389729

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chronis_sigmod20,
        title = {{External Merge Sort for Top-K Queries: Eager input filtering guided by histograms}},
        author = {Chronis, Yannis and Do, Thanh and Graefe, Goetz and Peters, Keith},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389729},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389729},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
11,183 Relational Algorithms for Top-k Query Evaluation 2024 SIGMOD 5.093636e-05
11,348 Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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