How to Install and Uninstall golang-github-spacejam-loghisto-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 23,2024

1. Install "golang-github-spacejam-loghisto-dev" package

Please follow the steps below to install golang-github-spacejam-loghisto-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                golang-github-spacejam-loghisto-dev
            
                    
    
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2. Uninstall "golang-github-spacejam-loghisto-dev" package

Please follow the guidelines below to uninstall golang-github-spacejam-loghisto-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                golang-github-spacejam-loghisto-dev
            
                    
    
    Copied


    
        
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the golang-github-spacejam-loghisto-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: golang-github-spacejam-loghisto-dev
Priority: extra
Section: universe/devel
Installed-Size: 63
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Go Packaging Team
Architecture: all
Source: golang-github-spacejam-loghisto
Version: 0.0~git20150819.0.3233097-1
Depends: golang-go, golang-glog-dev | golang-github-golang-glog-dev
Filename: pool/universe/g/golang-github-spacejam-loghisto/golang-github-spacejam-loghisto-dev_0.0~git20150819.0.3233097-1_all.deb
Size: 14046
MD5sum: b6e4a4c663717f8ccf25d879529bf3bc
SHA1: 52cd585bea32f0f5ef60d53a9c600e4971514aa1
SHA256: 709b266c757638acc11aa30caacef34c7970f3fb2542392f3ce5ebed4dd90eda
Description-en: counters and logarithmically bucketed histograms for distributed systems
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.
Description-md5: 87b924f517c8098655986bc97108bcc0
Homepage: https://github.com/spacejam/loghisto
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu