Arbiter: Towards joint and fine-grained index and partition tuning in analytical databases

Key Points

• 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.