proxy.golang.org : github.com/HdrHistogram/hdrhistogram-go : v0.9.0
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.
Registry -
Documentation -
Download -
JSON
purl: pkg:golang/github.com/%21hdr%21histogram/[email protected]
Published:
Indexed: