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A problem so hard even Google relies on random chance
Today we're looking at HyperLogLog, an algorithm that leverages random chance to count the number of distinct items are in a ...
Abstract: In this paper, a new algorithm estimating the number of active flows in a data stream is proposed. This algorithm adapts the HyperLogLog algorithm of Flajolet et al. to data stream ...
Redis中的HyperLogLog是一种高级数据结构,它主要用于基数估算。在数据量非常大的情况下,HyperLogLog能够以极小的空间消耗来估算数据集的基数(即不重复元素的数量)。其标准误差率仅为0.81%,因此在很多需要快速且大致估算基数的场景中,HyperLogLog都是一个非常 ...
the state of each instance is stored as serialized JSON (string) under _hll key. each instance weight is ~8kb at 12 registers with a mathematical error of ~1.6%. The ...
For a quick read of the HyperLogLog algorithm please refer to https://research.neustar.biz/2012/10/25/sketch-of-the-day-hyperloglog-cornerstone-of-a-big-data ...
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