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The Sidekiq configuration file is a YAML file that Sidekiq server uses to configure itself, by default located at config/sidekiq.yml. It is only necessary to create the file if you need to set advanced options, such as concurrency pool size, named queues, PID file location, etc. Here is an example configuration file:
---
:concurrency: 5
staging:
:concurrency: 10
production:
:concurrency: 20
:queues:
- critical
- default
- lowNote the use of environment-specific subsections. These values will override top-level values. If you don't use the default location, use the -C flag to tell Sidekiq where the file is:
sidekiq -C config/myapp_sidekiq.yml
Options passed on the command line will also override options specified in the config file.
By default, sidekiq uses a single queue called "default" in Redis. If you want to use multiple queues, you can either specify them as arguments to the sidekiq command, or set them in the Sidekiq configuration file. Each queue can be configured with an optional weight. A queue with a weight of 2 will be checked twice as often as a queue with a weight of 1:
As arguments...
sidekiq -q critical,2 -q default
In the configuration file...
# ...
:queues:
- [critical, 2]
- defaultIf you want queues always processed in a specific order, just declare them in order without weights:
As arguments...
sidekiq -q critical -q default -q low
In the configuration file...
# ...
:queues:
- critical
- default
- lowThis means that any job in the default queue will be processed only when the critical queue is empty.
You can get random queue priorities by declaring each queue with a weight of 1, so each queue has an equal chance of being processed:
# ...
:queues:
- ["foo", 1]
- ["bar", 1]
- ["xyzzy", 1]You can specify a queue to use for a given worker by declaring it:
class ImportantWorker
include Sidekiq::Worker
sidekiq_options queue: 'critical'
def perform(*important_args)
puts "Doing critical work"
end
endI don't recommend having more than a handful of queues. Lots of queues makes for a more complex system and Sidekiq Pro cannot reliably handle multiple queues without polling. M Sidekiq Pro processes polling N queues means O(M*N) operations per second slamming Redis.
If you use the sidekiq web interface, newly added queues will first appear there when a job has been enqueued for this queue.
If you'd like to "reserve" a queue so it only handles certain jobs, the easiest way is to run two sidekiq runners each handling different queues:
sidekiq -q critical # Only handles jobs on the "critical" queue
sidekiq -q default -q low # Handles the other jobs
Sidekiq offers a number of options for worker behavior.
- queue : use a named queue for this Worker, default 'default'
- retry : enable the RetryJobs middleware for this Worker, default true. Alternatively, you can specify the max. number of times a job is retried (ie. retry: 3)
- backtrace : whether to save any error backtrace in the retry payload to display in web UI, can be true, false or an integer number of lines to save, default false. Be careful, backtraces are big and can take up a lot of space in Redis if you have a large number of retries.
- pool : use the given Redis connection pool to push this type of job to a given shard.
class HardWorker
include Sidekiq::Worker
sidekiq_options queue: :crawler, retry: false, backtrace: true
def perform(name, count)
end
endDefault worker options can be set using Sidekiq.default_worker_options=:
Sidekiq.default_worker_options = { 'backtrace' => true }Options can also be overridden per call:
HardWorker.set(queue: :critical).perform_async(name, count)You can tune the amount of concurrency in your Sidekiq process. By default, one sidekiq process creates 10 threads. If that's crushing your machine with I/O, you can adjust it down:
bundle exec sidekiq -c 5
RAILS_MAX_THREADS=3 bundle exec sidekiq
I don't recommend setting concurrency higher than 50. STarting in Rails 5, the RAILS_MAX_THREADS can be used to configure Rails and Sideiq. Note that ActiveRecord has a connection pool which needs to be properly configured in config/database.yml to work well with heavy concurrency. Set the pool setting to something close or equal to the number of threads:
production:
adapter: mysql2
database: foo_production
pool: <%= ENV['RAILS_MAX_THREADS'] || 10 %>Sidekiq includes the connection_pool gem which your Workers can use. With a connection pool, you can share a limited number of I/O connections among a larger number of threads.
class HardWorker
include Sidekiq::Worker
MEMCACHED_POOL = ConnectionPool.new(size: 10, timeout: 3) { Dalli::Client.new }
def perform(args)
MEMCACHED_POOL.with do |dalli|
dalli.set('foo', 'bar')
end
end
endThis ensures that even if you have lots of concurrency, you'll only have 10 connections open to memcached per Sidekiq process.
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