Resque pool is a daemon for managing a pool of resque workers. With a simple config file, it manages your workers for you, starting up the appropriate number of workers for each worker type.
- Less config - With a simple YAML file, you can start up a pool daemon, and it will monitor your workers for you.
- Less memory - If you are using ruby 2.0+ (with copy-on-write safe garbage collection), this should save you a lot of memory when you are managing many workers.
- Faster startup - when you start many workers at once, they would normally compete for CPU as they load their environments. Resque-pool can load your application once, then rapidly fork the workers after setup. If a worker crashes or is killed, a new worker will start up and take its place right away.
See Changelog.md in case there are important or helpful changes.
Create a config/resque-pool.yml (or resque-pool.yml) with your worker
counts. The YAML file supports both using root level defaults as well as
environment specific overrides (RACK_ENV, RAILS_ENV, and RESQUE_ENV
environment variables can be used to determine environment). For example in
config/resque-pool.yml:
foo: 1
bar: 2
"foo,bar,baz": 1
production:
"foo,bar,baz": 4Require the rake tasks (resque/pool/tasks) in your Rakefile, load your
application environment, configure Resque as necessary, and configure
resque:pool:setup to disconnect all open files and sockets in the pool
manager and reconnect in the workers. For example, with rails you should put
the following into lib/tasks/resque.rake:
require 'resque/pool/tasks'
# this task will get called before resque:pool:setup
# and preload the rails environment in the pool manager
task "resque:setup" => :environment do
# generic worker setup, e.g. Hoptoad for failed jobs
end
task "resque:pool:setup" do
# close any sockets or files in pool manager
ActiveRecord::Base.connection.disconnect!
# and re-open them in the resque worker parent
Resque::Pool.after_prefork do |job|
ActiveRecord::Base.establish_connection
end
endFor normal work with fresh resque and resque-scheduler gems add next lines in lib/rake/resque.rake
task "resque:pool:setup" do
Resque::Pool.after_prefork do |job|
Resque.redis.client.reconnect
end
endThen you can start the queues via:
resque-pool --daemon --environment production
This will start up seven worker processes, one exclusively for the foo queue, two exclusively for the bar queue, and four workers looking at all queues in priority. With the config above, this is similar to if you ran the following:
rake resque:work RAILS_ENV=production QUEUES=foo &
rake resque:work RAILS_ENV=production QUEUES=bar &
rake resque:work RAILS_ENV=production QUEUES=bar &
rake resque:work RAILS_ENV=production QUEUES=foo,bar,baz &
rake resque:work RAILS_ENV=production QUEUES=foo,bar,baz &
rake resque:work RAILS_ENV=production QUEUES=foo,bar,baz &
rake resque:work RAILS_ENV=production QUEUES=foo,bar,baz &
The pool manager will stay around monitoring the resque worker parents, giving
three levels: a single pool manager, many worker parents, and one worker child
per worker (when the actual job is being processed). For example, ps -ef f | grep [r]esque (in Linux) might return something like the following:
resque 13858 1 0 13:44 ? S 0:02 resque-pool-manager: managing [13867, 13875, 13871, 13872, 13868, 13870, 13876]
resque 13867 13858 0 13:44 ? S 0:00 \_ resque-1.9.9: Waiting for foo
resque 13868 13858 0 13:44 ? S 0:00 \_ resque-1.9.9: Waiting for bar
resque 13870 13858 0 13:44 ? S 0:00 \_ resque-1.9.9: Waiting for bar
resque 13871 13858 0 13:44 ? S 0:00 \_ resque-1.9.9: Waiting for foo,bar,baz
resque 13872 13858 0 13:44 ? S 0:00 \_ resque-1.9.9: Forked 7481 at 1280343254
resque 7481 13872 0 14:54 ? S 0:00 \_ resque-1.9.9: Processing foo since 1280343254
resque 13875 13858 0 13:44 ? S 0:00 \_ resque-1.9.9: Waiting for foo,bar,baz
resque 13876 13858 0 13:44 ? S 0:00 \_ resque-1.9.9: Forked 7485 at 1280343255
resque 7485 13876 0 14:54 ? S 0:00 \_ resque-1.9.9: Processing bar since 1280343254
Running as a daemon will default to placing the pidfile and logfiles in the
conventional rails locations, although you can configure that. See
resque-pool --help for more options.
The pool manager responds to the following signals:
HUP- reset config loader (reload the config file), reload logfiles, restart all workers.QUIT- gracefully shut down workers (viaQUIT) and shutdown the manager after all workers are done.INT- gracefully shut down workers (viaQUIT) and immediately shutdown managerTERM- immediately shut down workers (viaINT) and immediately shutdown manager (configurable via command line options)WINCH- (only when running as a daemon) sendQUITto each worker, but keep manager running (sendHUPto reload config and restart workers)USR1/USR2/CONT- pass the signal on to all worker parents (see Resque docs).
Use HUP to help logrotate run smoothly and to change the number of workers
per worker type. Signals can be sent via the kill command, e.g.
kill -HUP $master_pid
If the environment variable TERM_CHILD is set, QUIT and TERM will respond as
defined by Resque 1.22 and above. See http://hone.herokuapp.com/resque/2012/08/21/resque-signals.html
for details, overriding any command-line configuration for TERM. Setting TERM_CHILD tells
us you know what you're doing.
If the static YAML file configuration approach does not meet your needs, you can specify a custom configuration loader.
Set the config_loader class variable on Resque::Pool to an object that
responds to #call (which can simply be a lambda/Proc). The class attribute
needs to be set before starting the pool. This is usually accomplished
in the resque:pool:setup rake task, as described above.
For example, if you wanted to vary the number of worker processes based on a value stored in Redis, you could do something like:
task "resque:pool:setup" do
Resque::Pool.config_loader = lambda do |env|
worker_count = Redis.current.get("pool_workers_#{env}").to_i
{"queueA,queueB" => worker_count }
end
endIn order to query ActiveRecord, be sure establish the database connection:
task "resque:pool:setup" do
Resque::Pool.config_loader = lambda do |env|
ActiveRecord::Base.establish_connection
JobQueue.pluck(:name, :workers).to_h
end
endThe configuration loader's #call method will be invoked about once a second.
This allows the configuration to constantly change, allowing you to scale the
number of workers up or down based on different conditions.
If the response is generally static, the loader may want to cache the value it
returns. It can optionally implement a #reset! method, which will be invoked
when the HUP signal is received, allowing the loader to flush its cache, or
perform any other re-initialization.
You can reduce the frequency that your configuration loader is called by
wrapping it with Resque::Pool::ConfigLoaders::Throttled and specifying a time
(in seconds) to cache the previous value:
task "resque:pool:setup" do
redis_loader = lambda do |env|
worker_count = Redis.current.get("pool_workers_#{env}").to_i
{ "queueA,queueB" => worker_count }
end
# calls through to redis_loader at most once per 10 seconds
Resque::Pool.config_loader = Resque::Pool::ConfigLoaders::Throttled.new(
redis_loader, period: 10
)
endSee the spec for more details.
In a production environment you will likely want to manage the daemon using a
process supervisor like runit or god or an init system like systemd or
upstart. Example configurations for some of these are included in the
examples directory. With these systems, reload typically sends a HUP
signal, which will reload the configuration but not application code. The
simplest way to make workers pick up new code after a deploy is to stop and
start the daemon. This will result in a period where new jobs are not being
processed.
To avoid this downtime, leave the old pool running and start a new pool with
resque-pool --hot-swap.
The --hot-swap flag will turn off pidfiles (so multiple pools can run at
once), enable a lock file (so your init system knows when the pool is running),
and shut down other pools after the workers have started for this pool.
These behaviors can also be configured separately (see resque-pool --help).
The upstart configs in the examples directory demonstrate how to supervise a
daemonized pool with hot swap.
Please be aware that this approach uses more memory than a simple restart, since two copies of the application code are loaded at once. TODO: #139
You can also start a pool manager via rake resque:pool or from a plain old
ruby script by calling Resque::Pool.run.
Workers will watch the pool manager, and gracefully shutdown (after completing their current job) if the manager process disappears before them.
You can specify an alternate config file by setting the RESQUE_POOL_CONFIG or
with the --config command line option.
See the examples directory for example chef cookbook and
god config. In the chef cookbook, you can also find example init.d and
muninrc templates (all very out of date, pull requests welcome).
See the TODO list at github issues.
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