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Tobias Lütke (author)
Sun Mar 23 07:08:18 -0700 2008
commit 3e4e1acec1c19623d93fa75bdbcdf74ae89afb41
tree 0e7268e8354097fc46260ae933a655dd0d234694
parent 8ec934eef96cd5622713eb7c621441cbafabe55d
tree 0e7268e8354097fc46260ae933a655dd0d234694
parent 8ec934eef96cd5622713eb7c621441cbafabe55d
| name | age | message | |
|---|---|---|---|
| |
MIT-LICENSE | Sun Feb 17 13:01:35 -0800 2008 | [Tobias Luetke (home)] |
| |
README | Sun Mar 23 07:04:09 -0700 2008 | [Tobias Lütke] |
| |
init.rb | Sun Feb 17 13:01:35 -0800 2008 | [Tobias Luetke (home)] |
| |
lib/ | Sun Mar 23 07:04:09 -0700 2008 | [Tobias Lütke] |
| |
spec/ | Sun Mar 23 07:04:09 -0700 2008 | [Tobias Lütke] |
| |
tasks/ | Sun Mar 23 07:08:18 -0700 2008 | [Tobias Lütke] |
README
Delayed::Job
============
Delated_job (or DJ) encapsulates the common pattern of asynchronously executing longer tasks in the background.
It is a direct extraction from Shopify where the job table is responsible for a multitude of core tasks. Amongst those
tasks are:
* sending massive newsletters
* image resizing
* http downloads
* updating smart collections
* updating solr, our search server, after product changes
* batch imports
* spam checks
== Changes ==
1.5 Job runners can now be run in parallel. Two new database columns are needed: locked_until and locked_by. This allows
us
to use pessimistic locking, which enables us to run as many worker processes as we need to speed up queue
processing.
1.0 Initial release
== Setup ==
The library evolves around a delayed_jobs table which looks as follows:
create_table :delayed_jobs, :force => true do |table|
table.integer :priority, :default => 0
table.integer :attempts, :default => 0
table.text :handler
table.string :last_error
table.datetime :run_at
table.datetime :locked_until
table.string :locked_by
table.timestamps
end
== Usage ==
Jobs are simple ruby objects with a method called perform. Any object which responds to perform can be stuffed into the
jobs table.
Job objects are serialized to yaml so that they can later be resurrected by the job runner.
class NewsletterJob < Struct.new(:text, :emails)
def perform
emails.each { |e| NewsletterMailer.deliver_text_to_email(text, e) }
end
end
Delayed::Job.enqueue NewsletterJob.new('lorem ipsum...', Customers.find(:all).collect(&:email))
There is also a second way to get jobs in the queue: send_later.
BatchImporter.new(Shop.find(1)).send_later(:import_massive_csv, massive_csv)
This will simply create a Delayed::PerformableMethod job in the jobs table which serializes all the parameters you pass
to it. There are some special smarts for active record objects
which are stored as their text representation and loaded from the database fresh when the job is actually run later.
== Running the tasks ==
You can invoke rake jobs:work which will start working off jobs. You can cancel the rake task by CTRL-C.
At Shopify we run the the tasks from a simple script/job_runner which is being invoked by runnit:
#!/usr/bin/env ruby
require File.dirname(__FILE__) + '/../config/environment'
SLEEP = 5
trap('TERM') { puts 'Exiting...'; $exit = true }
trap('INT') { puts 'Exiting...'; $exit = true }
puts "*** Staring job worker #{Delayed::Job.worker_name}"
begin
loop do
result = nil
realtime = Benchmark.realtime do
result = Delayed::Job.work_off
end
count = result.sum
break if $exit
if count.zero?
sleep(SLEEP)
puts 'Waiting for more jobs...'
else
status = "#{count} jobs processed at %.4f j/s, %d failed ..." % [count / realtime, result.last]
RAILS_DEFAULT_LOGGER.info status
puts status
end
break if $exit
end
ensure
Delayed::Job.clear_locks!
end




