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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
5944
Venue
SIGMOD
Year
2020
Pagerank
4.3920263e-05
Overall Rank
9,123 | 36.54%
DOI
10.1145/3318464.3389729

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,970 Relational Algorithms for Top-k Query Evaluation 2024 SIGMOD 4.1945683e-05
11,142 Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets 2024 VLDB 4.1945683e-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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