Redis-backed library for creating background jobs, placing them on multiple queues, and processing them later.

First you create a Resque instance where you configure the Redis backend and then you can start sending jobs to be done by workers:

use Resque;

my $r = Resque->new( redis => '127.0.0.1:6379' );

$r->push( my_queue => {
    class => 'My::Task',
    args => [ 'Hello world!' ]
});

Background jobs can be any perl module that implement a perform() function. The Resque::Job object is passed as the only argument to this function:

package My::Task;
use strict;
use 5.10.0;

sub perform {
    my $job = shift;
    say $job->args->[0];
}

1;

Finally, you run your jobs by instancing a Resque::Worker and telling it to listen to one or more queues:

use Resque;

my $w = Resque->new( redis => '127.0.0.1:6379' )->worker;
$w->add_queue('my_queue');
$w->work;

Resque is a Redis-backed library for creating background jobs, placing them on multiple queues, and processing them later.

This library is a perl port of the original Ruby one: https://github.com/defunkt/resque

My main goal doing this port is to use the same backend to be able to manage the system using ruby's resque-server webapp.

As extracted from the original docs, the main features of Resque are:

Resque workers can be distributed between multiple machines, support priorities, are resilient to memory leaks, tell you what they're doing, and expect failure.

Resque queues are persistent; support constant time, atomic push and pop (thanks to Redis); provide visibility into their contents; and store jobs as simple JSON hashes.

The Resque frontend tells you what workers are doing, what workers are not doing, what queues you're using, what's in those queues, provides general usage stats, and helps you track failures.

A lot more about Resque can be read on the original blog post: http://github.com/blog/542-introducing-resque