A pure Go implementation of the HDR Histogram.

A Histogram that supports recording and analyzing sampled data value counts across a configurable integer value range with configurable value precision within the range. Value precision is expressed as the number of significant digits in the value recording, and provides control over value quantization behavior across the value range and the subsequent value resolution at any given level.

For documentation, check godoc.

Use go get to retrieve the hdrhistogram-go implementation and to add it to your GOPATH workspace, or project's Go module dependencies.

go get github.com/HdrHistogram/hdrhistogram-go

To update the implementation use go get -u to retrieve the latest version of the hdrhistogram.

go get github.com/HdrHistogram/hdrhistogram-go

If you are using Go modules, your go get will default to the latest tagged release version of the histogram. To get a specific release version, use @<tag> in your go get command.

go get github.com/HdrHistogram/hdrhistogram-go@v0.9.0

To get the latest HdrHistogram/hdrhistogram-go master repository change use @latest.

go get github.com/HdrHistogram/hdrhistogram-go@latest

This repository has been transferred under the github HdrHstogram umbrella with the help from the orginal author in Sept 2020. The main reasons are to group all implementations under the same roof and to provide more active contribution from the community as the orginal repository was archived several years ago.

Unfortunately such URL change will break go applications that depend on this library directly or indirectly, as discussed here.

The dependency URL should be modified to point to the new repository URL. The tag "v0.9.0" was applied at the point of transfer and will reflect the exact code that was frozen in the original repository.

If you are using Go modules, you can update to the exact point of transfter using the @v0.9.0 tag in your go get command.

go mod edit -replace github.com/codahale/hdrhistogram=github.com/HdrHistogram/[email protected]

Many thanks for Coda Hale for contributing the initial implementation and transfering the repository here.