How to Install and Uninstall libcache-historical-perl Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 07,2024

1. Install "libcache-historical-perl" package

Please follow the guidance below to install libcache-historical-perl on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcache-historical-perl
            
                    
    
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2. Uninstall "libcache-historical-perl" package

In this section, we are going to explain the necessary steps to uninstall libcache-historical-perl on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libcache-historical-perl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcache-historical-perl package on Ubuntu 20.10 (Groovy Gorilla)

Package: libcache-historical-perl
Architecture: all
Version: 0.05-2
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 25
Depends: perl, libdbd-sqlite3-perl, libdbi-perl, liblog-log4perl-perl, librose-db-object-perl, librose-db-perl
Filename: pool/universe/libc/libcache-historical-perl/libcache-historical-perl_0.05-2_all.deb
Size: 7816
MD5sum: 3e7c1b30d55e1413486b1d0d1689988b
SHA1: c55063fbd1867800d977a271b091504fc096de63
SHA256: d7f44ac56315b64d249229703f62597a11a99bb1ea9a3b01e7137d6ace6810a0
SHA512: 215630833bdebcd250b518ad664551ff5e11e8a32679d1fef277c5bf3c599f23566d05ba26fd6ec4b156df80e4512e7b082fd2e8e4ffa03cab37f33058d9b690
Homepage: https://metacpan.org/release/Cache-Historical
Description-en: simple data caching service with time history
Cache::Historical provides simple methods to store and search text values
that are tied to a time and a key, like user or category. Each caching
operation sets a time stamp, thus making it possible to search according
to events in time. Like the name suggests, it was originally conceived
for recording of historic events such as stock trading.
.
This module uses SQLite3 as database backend, thus leaving ample space
for costumized additional tools to the same cached historic data.
Description-md5: 454d16132883f42776119497382fcab5