golang-github-retailnext-hllpp-devel Subpackage of golang-github-retailnext-hllpp
Hyperloglog cardinality estimation algorithm in Go
Hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in Go. It optimizes for memory usage over CPU usage. It implements all the HyperLogLog optimizations introduced in the HyperLogLog++ paper (http://goo.gl/Z5Sqgu). Some notable features include: – marshaling so you can serialize to your datastore – extra space savings by only using 5 bits per register when possible – built-in non-streaming murmur3 implementation for fast hashing of input data This package contains the source code needed for building packages that reference the following Go import paths: – github.com/retailnext/hllpp
Releases Overview
| Release | Stable | Testing |
|---|---|---|
| Fedora 38 | 1.0.0-9.fc38 | - |
Package Info
- Upstream: https://github.com/retailnext/hllpp
- License(s): BSD
- Maintainer: orphan
You can contact the maintainers of this package via email at
golang-github-retailnext-hllpp dash maintainers at fedoraproject dot org.
Sources on Pagure