How to Install and Uninstall golang-github-retailnext-hllpp-devel.noarch Package on Fedora 36
Last updated: November 25,2024
1. Install "golang-github-retailnext-hllpp-devel.noarch" package
In this section, we are going to explain the necessary steps to install golang-github-retailnext-hllpp-devel.noarch on Fedora 36
$
sudo dnf update
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$
sudo dnf install
golang-github-retailnext-hllpp-devel.noarch
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2. Uninstall "golang-github-retailnext-hllpp-devel.noarch" package
This is a short guide on how to uninstall golang-github-retailnext-hllpp-devel.noarch on Fedora 36:
$
sudo dnf remove
golang-github-retailnext-hllpp-devel.noarch
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$
sudo dnf autoremove
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3. Information about the golang-github-retailnext-hllpp-devel.noarch package on Fedora 36
Last metadata expiration check: 2:10:57 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : golang-github-retailnext-hllpp-devel
Version : 1.0.0
Release : 7.fc36
Architecture : noarch
Size : 46 k
Source : golang-github-retailnext-hllpp-1.0.0-7.fc36.src.rpm
Repository : fedora
Summary : Hyperloglog cardinality estimation algorithm in Go
URL : https://github.com/retailnext/hllpp
License : BSD
Description : 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
Available Packages
Name : golang-github-retailnext-hllpp-devel
Version : 1.0.0
Release : 7.fc36
Architecture : noarch
Size : 46 k
Source : golang-github-retailnext-hllpp-1.0.0-7.fc36.src.rpm
Repository : fedora
Summary : Hyperloglog cardinality estimation algorithm in Go
URL : https://github.com/retailnext/hllpp
License : BSD
Description : 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