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Random Sampling from Pseudo-Ranked B+ Trees

Summary: Introduces sampling from pseudo-ranked B+ trees, augmented with rank limits. Low rejection with marginal update cost; outperforms full-root updates and high-rejection sampling, validated on production databases and prototype workload simulations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8085
Venue
VLDB
Year
1992
Pagerank
6.580483e-05
Overall Rank
3,966 | 72.42%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
184 New Sampling-Based Summary Statistics for Improving Approximate Query Answers 1998 SIGMOD 0.00036625711
2,053 Selectivity Estimation in Spatial Databases 1999 SIGMOD 9.6728745e-05
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