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View all- Li PLu HZhu RDing BYang LPan G(2023)DILI: A Distribution-Driven Learned IndexProceedings of the VLDB Endowment10.14778/3598581.359859316:9(2212-2224)Online publication date: 1-May-2023
Indexes are a critical component of data management applications. While tree-like structures (e.g., B-Trees) have been employed to great success, recent work suggests that index structures powered by machine learning models (learned index structures) ...
By embedding the distribution of keys in indexing structure, learned indexes can minimize the index size and maximize the lookup performance. Yet, one of the problems in the present learned index is the long index-building time. The conventional learned ...
Learned indexes have been demonstrated to outperform traditional ones in memory-resident scenarios. However, recent studies show that they fail to outperform B+tree when extended to disks directly. In this paper, we argue that it is feasible to create ...
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