How to Install and Uninstall perl-CGI-SpeedyCGI.x86_64 Package on CentOS Stream 8
Last updated: November 01,2024
1. Install "perl-CGI-SpeedyCGI.x86_64" package
Here is a brief guide to show you how to install perl-CGI-SpeedyCGI.x86_64 on CentOS Stream 8
$
sudo dnf update
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$
sudo dnf install
perl-CGI-SpeedyCGI.x86_64
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2. Uninstall "perl-CGI-SpeedyCGI.x86_64" package
In this section, we are going to explain the necessary steps to uninstall perl-CGI-SpeedyCGI.x86_64 on CentOS Stream 8:
$
sudo dnf remove
perl-CGI-SpeedyCGI.x86_64
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$
sudo dnf autoremove
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3. Information about the perl-CGI-SpeedyCGI.x86_64 package on CentOS Stream 8
Last metadata expiration check: 3:01:02 ago on Sun Feb 25 03:03:59 2024.
Available Packages
Name : perl-CGI-SpeedyCGI
Version : 2.22
Release : 39.el8
Architecture : x86_64
Size : 90 k
Source : perl-CGI-SpeedyCGI-2.22-39.el8.src.rpm
Repository : epel
Summary : Speed up perl scripts by running them persistently
URL : https://metacpan.org/release/CGI-SpeedyCGI
License : GPLv3+
Description : SpeedyCGI is a way to run perl scripts persistently, which can make
: them run much more quickly. After the script is initially run, instead
: of exiting, the perl interpreter is kept running. During subsequent
: runs, this interpreter is used to handle new executions instead of
: starting a new perl interpreter each time. It is a very fast frontend
: program, written in C, is executed for each request.
Available Packages
Name : perl-CGI-SpeedyCGI
Version : 2.22
Release : 39.el8
Architecture : x86_64
Size : 90 k
Source : perl-CGI-SpeedyCGI-2.22-39.el8.src.rpm
Repository : epel
Summary : Speed up perl scripts by running them persistently
URL : https://metacpan.org/release/CGI-SpeedyCGI
License : GPLv3+
Description : SpeedyCGI is a way to run perl scripts persistently, which can make
: them run much more quickly. After the script is initially run, instead
: of exiting, the perl interpreter is kept running. During subsequent
: runs, this interpreter is used to handle new executions instead of
: starting a new perl interpreter each time. It is a very fast frontend
: program, written in C, is executed for each request.