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Arbiter: Towards joint and fine-grained index and partition tuning in analytical databases | Synapse
March 3, 2026
Arbiter: Towards joint and fine-grained index and partition tuning in analytical databases
FL
Fengrui Liu
RW
Rukai Wei
HW
Hua Wang
Heilongjiang Academy of Sciences
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Puntos clave
Improved query performance is achieved through fine-grained index tuning and partitioning methods.
The optimization approaches highlight significant enhancements in performance metrics, notably reducing query execution time.
Analysis of various database configurations shows the efficacy of joint tuning strategies for indexes and partitions.
This study indicates stronger performance for analytical queries, supporting further exploration in diverse database systems.
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Liu et al. (Tue,) studied this question.
synapsesocial.com/papers/69a7619fc6e9836116a2fa95
https://doi.org/https://doi.org/10.1016/j.ipm.2026.104684
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