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CKMS Quantiles/Summary Performance Improvements
Optimized insertion: Replaced linear search with binary search in the insertBatch algorithm, improving insertion speed.
Enhanced readability & maintainability: Streamlined index management in both the compress and insertBatch algorithms, resulting in cleaner, more maintainable code.
Prevent undefined behavior: Addressed potential issues in the compress method by eliminating vector element erasure during iteration, preventing iterator invalidation and out-of-bounds errors.
Pre-allocation: Reserved vector capacity upfront when the size is known, eliminating multiple resize operations and significantly enhancing performance.
The observations clearly indicate that for a limited number of quantiles (typically around 8), which represent the most common use case, there are substantial performance gains. However, for a larger number of quantiles (around 64), the performance improvements are either negligible or slightly diminished.