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HERMIT in Action: Succinct Secondary Indexing Mechanism via Correlation Exploration

Summary: HERMIT reduces secondary index footprint by exploiting column correlations and soft functional dependencies to prune redundant indexes, routing lookups to correlated indexes via the Tiered Regression Search Tree (TRS-TREE). Demonstrates large space savings with modest latency and index maintenance overhead in online workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11891
Venue
VLDB
Year
2019
Pagerank
4.1945683e-05
Overall Rank
11,683 | 18.73%
DOI
10.14778/3352063.3352090

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