How to Install and Uninstall evqueue-core Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 26,2024

1. Install "evqueue-core" package

Please follow the steps below to install evqueue-core on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install evqueue-core

2. Uninstall "evqueue-core" package

Please follow the steps below to uninstall evqueue-core on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove evqueue-core $ sudo apt autoclean && sudo apt autoremove

3. Information about the evqueue-core package on Ubuntu 20.10 (Groovy Gorilla)

Package: evqueue-core
Architecture: amd64
Version: 2.1-1build3
Priority: optional
Section: universe/net
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Thibault KUMMER
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1109
Pre-Depends: adduser (>= 3.40)
Depends: libc6 (>= 2.15), libgcc-s1 (>= 3.0), libmysqlclient21 (>= 8.0.11), libpcrecpp0v5 (>= 7.7), libstdc++6 (>= 6), libxerces-c3.2, zlib1g (>= 1:1.1.4), debconf (>= 0.5) | debconf-2.0, lsb-base (>= 3.0-6)
Filename: pool/universe/e/evqueue-core/evqueue-core_2.1-1build3_amd64.deb
Size: 340420
MD5sum: a2fb7ed9a01fd5cc37b3cec472ee00eb
SHA1: 585dfab880c24edffd4b5612c5c72d03470d6542
SHA256: 0579675076547dc9ceffa944eeb2a062c8b78a2e4d03d98fd5a31c711367fcb4
SHA512: 75650e6bbb7b8211417ea8c1c51fda7512031579693cd2caa8976d4fbf1187f0601ce47a3491ec2016feb53d097408f2ad24e42009b5c718180254d421071415
Homepage: http://www.evqueue.net
Description-en: evQueue core module
evQueue is a fast event driven scheduler and queueing engine.
.
It provides both simple task execution and complex task chaining
(workflow) using an easy to use drag & drop web interface. Workflow
description includes output linking to input, conditions, loops...
Queues management provides an easy way for task parallelization and
resource control.
.
The network API provides an easy way, XML based, for synchronous or
asynchronous workflow launching and control, allowing tasks to be
launched from external applications or web pages. You can thus execute
heavy tasks on a remote (dedicated) machine to save resources on your
web frontends while providing live reporing of the treatment to you users.
Description-md5: b1d3f5df453adfc8a5a1d8884f7518a8