proxy.golang.org : github.com/HdrHistogram/hdrhistogram-go : v1.0.0

Package hdrhistogram provides an implementation of Gil Tene's HDR Histogram data structure. The HDR Histogram allows for fast and accurate analysis of the extreme ranges of data with non-normal distributions, like latency. Histograms are encoded using the HdrHistogram V2 format which is based on an adapted ZigZag LEB128 encoding where: consecutive zero counters are encoded as a negative number representing the count of consecutive zeros non zero counter values are encoded as a positive number A typical histogram (2 digits precision 1 usec to 1 day range) can be encoded in less than the typical MTU size of 1500 bytes. The log format encodes into a single file, multiple histograms with optional shared meta data.

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Published: over 4 years ago
Indexed: about 3 years ago