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LITS: An Optimized Learned Index for Strings

Summary: LITS: a learned index for variable-length strings combining a global Hash-enhanced Prefix Table (HPT) with per-node linear models to handle skewed prefixes and reduce last-mile cost. With compact leaves and PMSS-based hybridization it beats HOT/ART up to 2.43x/2.27x on point queries and matches scan performance. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13552
Venue
VLDB
Year
2024
Pagerank
4.6240341e-05
Overall Rank
7,894 | 45.09%
DOI
10.14778/3681954.3682010

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