How to Install and Uninstall golang-github-spacejam-loghisto-devel.noarch Package on Fedora 38

Last updated: November 17,2024

1. Install "golang-github-spacejam-loghisto-devel.noarch" package

In this section, we are going to explain the necessary steps to install golang-github-spacejam-loghisto-devel.noarch on Fedora 38


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                golang-github-spacejam-loghisto-devel.noarch
            
                    
    
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2. Uninstall "golang-github-spacejam-loghisto-devel.noarch" package

Please follow the guidance below to uninstall golang-github-spacejam-loghisto-devel.noarch on Fedora 38:


    
        
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                sudo dnf remove
            
                        
                golang-github-spacejam-loghisto-devel.noarch
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the golang-github-spacejam-loghisto-devel.noarch package on Fedora 38

Last metadata expiration check: 0:02:14 ago on Sun Mar 17 04:59:58 2024.
Available Packages
Name : golang-github-spacejam-loghisto-devel
Version : 0
Release : 0.17.20190524gitca67f4e.fc38
Architecture : noarch
Size : 26 k
Source : golang-github-spacejam-loghisto-0-0.17.20190524gitca67f4e.fc38.src.rpm
Repository : fedora
Summary : Counters and logarithmically bucketed histograms for distributed systems
URL : https://github.com/spacejam/loghisto
License : ASL 2.0
Description : A metric system for high performance counters and histograms. Unlike popular
: metric systems today, this does not destroy the accuracy of histograms by
: sampling. Instead, a logarithmic bucketing function compresses values, generally
: within 1% of their true value (although between 0 and 1 the precision loss may
: not be within this boundary). This allows for extreme compression, which allows
: us to calculate arbitrarily high percentiles with no loss of accuracy - just a
: small amount of precision. This is particularly useful for highly-clustered
: events that are tolerant of a small precision loss, but for which you REALLY
: care about what the tail looks like, such as measuring latency across a
: distributed system.
:
: Copied out of my work for the CockroachDB metrics system. Based on an algorithm
: created by Keith Frost.
:
: This package contains the source code needed for building packages that
: reference the following Go import paths:
: – github.com/spacejam/loghisto