Are updatable learned indexes ready?
نویسندگان
چکیده
Recently, numerous promising results have shown that updatable learned indexes can perform better than traditional with much lower memory space consumption. But it is unknown how these compare against each other and the ones under realistic workloads changing data distributions concurrency levels. This makes practitioners still wary about new would actually behave in practice. To fill this gap, paper conducts first comprehensive evaluation on indexes. Our uses ten real datasets various to challenge three aspects: performance, efficiency robustness. Based results, we give a series of takeaways guide future development deployment
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2022
ISSN: ['2150-8097']
DOI: https://doi.org/10.14778/3551793.3551848