Resque ====== Resque is a Redis-backed library for creating background jobs, placing those jobs on multiple queues, and processing them later. Background jobs can be any Ruby class or module that responds to `perform`. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both. Resque is heavily inspired by DelayedJob (which rocks) and comprises three parts: 1. A Ruby library for creating, querying, and processing jobs 2. A Rake task for starting a worker which processes jobs 3. A Sinatra app for monitoring queues, jobs, and workers. Resque workers can be distributed between multiple machines, support priorities, are resilient to memory bloat / "leaks," are optimized for REE (but work on MRI and JRuby), 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 packages. 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. What did you guys do to Resque? =============================== This version of Resque uses mongo as the back end. It also has some neat new features that you may enjoy Features -------- It stores each queue in its own collection. For testing purposes. Resque.bypass_queues will call your job's perform method AT ONCE, and not touch the queue at all. This can be useful when writing unit tests against things that would normally happen partially in your request and partially in a worker. If your job class has a variable called @unique_jobs = true, you can queue unique jobs - jobs that must only be processed once. In order to take advantage of this feature, the arguments to your enqueue call must include a hash containing a key called _id in the first position. If your job class indicates that @delayed_jobs = true, you can queue delayed jobs. These jobs will not be popped off the queue until the Time indicated in arg[0][:delay_until] has come. Note that you must call Resque.enable_delay(:queue) before enququing any delayed jobs, to ensure that the performance impact on other queues is minimal. Stern Warnings -------------- Sometimes, Resque-Mongo will drop a queue collection, or create some indexes, or otherwise manipulate its database. For this reason, it is STRONGLY recommended that you give it its own database in mongo. All jobs should be queued via Resque.enqueue. All arguments passed to this method must be BSON-encodable. Resque-Mongo does not serialize your objects for you. Arrays, Hashes, Strings, Numbers, and Times are all ok, so don't worry. Many of the new queue-level features require the first argument of your perform method to be an options hash. In fact, if you just start making all your perform()s take one param, that is an options hash, you'll probably save yourself some pain. Resque-Mongo will not create any indexes on your queues, only on its meta-data. You will need to create any indexes you want. Normally, This is not a problem, because you aren't querying by keys, but you may want to create indexes on the class key in some circumstances. If you use the unique or delay features, you may want some additional indexes, depending on the nature of your workload. Paranoid? Test enqueuing and processing all your jobs, and run with --notablescans. Learn the profiler, and use it often. Specifically, a queue with many long-delayed jobs will result in slower queue pops for all jobs using that queue. Index delay_until in the case of thousands of delayed jobs. Back to the original README =========================== The Blog Post ------------- For the backstory, philosophy, and history of Resque's beginnings, please see [the blog post][0]. Overview -------- Resque allows you to create jobs and place them on a queue, then, later, pull those jobs off the queue and process them. Resque jobs are Ruby classes (or modules) which respond to the `perform` method. Here's an example: class Archive @queue = :file_serve def self.perform(repo_id, branch = 'master') repo = Repository.find(repo_id) repo.create_archive(branch) end end The `@queue` class instance variable determines which queue `Archive` jobs will be placed in. Queues are arbitrary and created on the fly - you can name them whatever you want and have as many as you want. To place an `Archive` job on the `file_serve` queue, we might add this to our application's pre-existing `Repository` class: class Repository def async_create_archive(branch) Resque.enqueue(Archive, self.id, branch) end end Now when we call `repo.async_create_archive('masterbrew')` in our application, a job will be created and placed on the `file_serve` queue. Later, a worker will run something like this code to process the job: klass, args = Resque.reserve(:file_serve) klass.perform(*args) if klass.respond_to? :perform Which translates to: Archive.perform(44, 'masterbrew') Let's start a worker to run `file_serve` jobs: $ cd app_root $ QUEUE=file_serve rake resque:work This starts one Resque worker and tells it to work off the `file_serve` queue. As soon as it's ready it'll try to run the `Resque.reserve` code snippet above and process jobs until it can't find any more, at which point it will sleep for a small period and repeatedly poll the queue for more jobs. Workers can be given multiple queues (a "queue list") and run on multiple machines. In fact they can be run anywhere with network access to the Redis server. Jobs ---- What should you run in the background? Anything that takes any time at all. Slow INSERT statements, disk manipulating, data processing, etc. At GitHub we use Resque to process the following types of jobs: * Warming caches * Counting disk usage * Building tarballs * Building Rubygems * Firing off web hooks * Creating events in the db and pre-caching them * Building graphs * Deleting users * Updating our search index As of writing we have about 35 different types of background jobs. Keep in mind that you don't need a web app to use Resque - we just mention "foreground" and "background" because they make conceptual sense. You could easily be spidering sites and sticking data which needs to be crunched later into a queue. ### Persistence Jobs are persisted to queues as JSON objects. Let's take our `Archive` example from above. We'll run the following code to create a job: repo = Repository.find(44) repo.async_create_archive('masterbrew') The following JSON will be stored in the `file_serve` queue: { 'class': 'Archive', 'args': [ 44, 'masterbrew' ] } Because of this your jobs must only accept arguments that can be JSON encoded. So instead of doing this: Resque.enqueue(Archive, self, branch) do this: Resque.enqueue(Archive, self.id, branch) This is why our above example (and all the examples in `examples/`) uses object IDs instead of passing around the objects. While this is less convenient than just sticking a marshaled object in the database, it gives you a slight advantage: your jobs will be run against the most recent version of an object because they need to pull from the DB or cache. If your jobs were run against marshaled objects, they could potentially be operating on a stale record with out-of-date information. ### send_later / async Want something like DelayedJob's `send_later` or the ability to use instance methods instead of just methods for jobs? See the `examples/` directory for goodies. We plan to provide first class `async` support in a future release. ### Failure If a job raises an exception, it is logged and handed off to the `Resque::Failure` module. Failures are logged either locally in Redis or using some different backend. For example, Resque ships with Hoptoad support. Keep this in mind when writing your jobs: you may want to throw exceptions you would not normally throw in order to assist debugging. Workers ------- Resque workers are rake tasks that run forever. They basically do this: start loop do if job = reserve job.process else sleep 5 end end shutdown Starting a worker is simple. Here's our example from earlier: $ QUEUE=file_serve rake resque:work By default Resque won't know about your application's environment. That is, it won't be able to find and run your jobs - it needs to load your application into memory. If we've installed Resque as a Rails plugin, we might run this command from our RAILS_ROOT: $ QUEUE=file_serve rake environment resque:work This will load the environment before starting a worker. Alternately we can define a `resque:setup` task with a dependency on the `environment` rake task: task "resque:setup" => :environment GitHub's setup task looks like this: task "resque:setup" => :environment do Grit::Git.git_timeout = 10.minutes end We don't want the `git_timeout` as high as 10 minutes in our web app, but in the Resque workers it's fine. ### Logging Workers support basic logging to STDOUT. If you start them with the `VERBOSE` env variable set, they will print basic debugging information. You can also set the `VVERBOSE` (very verbose) env variable. $ VVERBOSE=1 QUEUE=file_serve rake environment resque:work ### Priorities and Queue Lists Resque doesn't support numeric priorities but instead uses the order of queues you give it. We call this list of queues the "queue list." Let's say we add a `warm_cache` queue in addition to our `file_serve` queue. We'd now start a worker like so: $ QUEUES=file_serve,warm_cache rake resque:work When the worker looks for new jobs, it will first check `file_serve`. If it finds a job, it'll process it then check `file_serve` again. It will keep checking `file_serve` until no more jobs are available. At that point, it will check `warm_cache`. If it finds a job it'll process it then check `file_serve` (repeating the whole process). In this way you can prioritize certain queues. At GitHub we start our workers with something like this: $ QUEUES=critical,archive,high,low rake resque:work Notice the `archive` queue - it is specialized and in our future architecture will only be run from a single machine. At that point we'll start workers on our generalized background machines with this command: $ QUEUES=critical,high,low rake resque:work And workers on our specialized archive machine with this command: $ QUEUE=archive rake resque:work ### Running All Queues If you want your workers to work off of every queue, including new queues created on the fly, you can use a splat: $ QUEUE=* rake resque:work Queues will be processed in alphabetical order. ### Running Multiple Workers At GitHub we use god to start and stop multiple workers. A sample god configuration file is included under `examples/god`. We recommend this method. If you'd like to run multiple workers in development mode, you can do so using the `resque:workers` rake task: $ COUNT=5 QUEUE=* rake resque:workers This will spawn five Resque workers, each in its own thread. Hitting ctrl-c should be sufficient to stop them all. ### Forking On certain platforms, when a Resque worker reserves a job it immediately forks a child process. The child processes the job then exits. When the child has exited successfully, the worker reserves another job and repeats the process. Why? Because Resque assumes chaos. Resque assumes your background workers will lock up, run too long, or have unwanted memory growth. If Resque workers processed jobs themselves, it'd be hard to whip them into shape. Let's say one is using too much memory: you send it a signal that says "shutdown after you finish processing the current job," and it does so. It then starts up again - loading your entire application environment. This adds useless CPU cycles and causes a delay in queue processing. Plus, what if it's using too much memory and has stopped responding to signals? Thanks to Resque's parent / child architecture, jobs that use too much memory release that memory upon completion. No unwanted growth. And what if a job is running too long? You'd need to `kill -9` it then start the worker again. With Resque's parent / child architecture you can tell the parent to forcefully kill the child then immediately start processing more jobs. No startup delay or wasted cycles. The parent / child architecture helps us keep tabs on what workers are doing, too. By eliminating the need to `kill -9` workers we can have parents remove themselves from the global listing of workers. If we just ruthlessly killed workers, we'd need a separate watchdog process to add and remove them to the global listing - which becomes complicated. Workers instead handle their own state. ### Parents and Children Here's a parent / child pair doing some work: $ ps -e -o pid,command | grep [r]esque 92099 resque: Forked 92102 at 1253142769 92102 resque: Processing file_serve since 1253142769 You can clearly see that process 92099 forked 92102, which has been working since 1253142769. (By advertising the time they began processing you can easily use monit or god to kill stale workers.) When a parent process is idle, it lets you know what queues it is waiting for work on: $ ps -e -o pid,command | grep [r]esque 92099 resque: Waiting for file_serve,warm_cache ### Signals Resque workers respond to a few different signals: * `QUIT` - Wait for child to finish processing then exit * `TERM` / `INT` - Immediately kill child then exit * `USR1` - Immediately kill child but don't exit * `USR2` - Don't start to process any new jobs * `CONT` - Start to process new jobs again after a USR2 If you want to gracefully shutdown a Resque worker, use `QUIT`. If you want to kill a stale or stuck child, use `USR1`. Processing will continue as normal unless the child was not found. In that case Resque assumes the parent process is in a bad state and shuts down. If you want to kill a stale or stuck child and shutdown, use `TERM` If you want to stop processing jobs, but want to leave the worker running (for example, to temporarily alleviate load), use `USR2` to stop processing, then `CONT` to start it again. ### Mysql::Error: MySQL server has gone away If your workers remain idle for too long they may lose their MySQL connection. If that happens we recommend using [this Gist](http://gist.github.com/238999). The Front End ------------- Resque comes with a Sinatra-based front end for seeing what's up with your queue. ![The Front End](http://img.skitch.com/20091104-tqh5pgkwgbskjbk7qbtmpesnyw.jpg) ### Standalone If you've installed Resque as a gem running the front end standalone is easy: $ resque-web It's a thin layer around `rackup` so it's configurable as well: $ resque-web -p 8282 If you have a Resque config file you want evaluated just pass it to the script as the final argument: $ resque-web -p 8282 rails_root/config/initializers/resque.rb You can also set the namespace directly using `resque-web`: $ resque-web -p 8282 -N myapp ### Passenger Using Passenger? Resque ships with a `config.ru` you can use. See Phusion's guide: ### Rack::URLMap If you want to load Resque on a subpath, possibly alongside other apps, it's easy to do with Rack's `URLMap`: require 'resque/server' run Rack::URLMap.new \ "/" => Your::App.new, "/resque" => Resque::Server.new Check `examples/demo/config.ru` for a functional example (including HTTP basic auth). Resque vs DelayedJob -------------------- How does Resque compare to DelayedJob, and why would you choose one over the other? * Resque supports multiple queues * DelayedJob supports finer grained priorities * Resque workers are resilient to memory leaks / bloat * DelayedJob workers are extremely simple and easy to modify * Resque requires Redis * DelayedJob requires ActiveRecord * Resque can only place JSONable Ruby objects on a queue as arguments * DelayedJob can place _any_ Ruby object on its queue as arguments * Resque includes a Sinatra app for monitoring what's going on * DelayedJob can be queried from within your Rails app if you want to add an interface If you're doing Rails development, you already have a database and ActiveRecord. DelayedJob is super easy to setup and works great. GitHub used it for many months to process almost 200 million jobs. Choose Resque if: * You need multiple queues * You don't care / dislike numeric priorities * You don't need to persist every Ruby object ever * You have potentially huge queues * You want to see what's going on * You expect a lot of failure / chaos * You can setup Redis * You're not running short on RAM Choose DelayedJob if: * You like numeric priorities * You're not doing a gigantic amount of jobs each day * Your queue stays small and nimble * There is not a lot failure / chaos * You want to easily throw anything on the queue * You don't want to setup Redis In no way is Resque a "better" DelayedJob, so make sure you pick the tool that's best for your app. Installing Redis ---------------- Resque requires Redis 0.900 or higher. Resque uses Redis' lists for its queues. It also stores worker state data in Redis. #### Homebrew If you're on OS X, Homebrew is the simplest way to install Redis: $ brew install redis $ redis-server /usr/local/etc/redis.conf You now have a Redis daemon running on 6379. #### Via Resque Resque includes Rake tasks (thanks to Ezra's redis-rb) that will install and run Redis for you: $ git clone git://github.com/defunkt/resque.git $ cd resque $ rake redis:install dtach:install $ rake redis:start Or, if you don't have admin access on your machine: $ git clone git://github.com/defunkt/resque.git $ cd resque $ PREFIX= rake redis:install dtach:install $ rake redis:start You now have Redis running on 6379. Wait a second then hit ctrl-\ to detach and keep it running in the background. The demo is probably the best way to figure out how to put the parts together. But, it's not that hard. Resque Dependencies ------------------- gem install redis redis-namespace yajl-ruby If you cannot install `yajl-ruby` (JRuby?), you can install the `json` gem and Resque will use it instead. When problems arise, make sure you have the newest versions of the `redis` and `redis-namespace` gems. Installing Resque ----------------- ### In a Rack app, as a gem First install the gem. $ gem install resque Next include it in your application. require 'resque' Now start your application: rackup config.ru That's it! You can now create Resque jobs from within your app. To start a worker, create a Rakefile in your app's root (or add this to an existing Rakefile): require 'your/app' require 'resque/tasks' Now: $ QUEUE=* rake resque:work Alternately you can define a `resque:setup` hook in your Rakefile if you don't want to load your app every time rake runs. ### In a Rails app, as a gem First install the gem. $ gem install resque Next include it in your application. $ cat config/initializers/load_resque.rb require 'resque' Now start your application: $ ./script/server That's it! You can now create Resque jobs from within your app. To start a worker, add this to your Rakefile in `RAILS_ROOT`: require 'resque/tasks' Now: $ QUEUE=* rake environment resque:work Don't forget you can define a `resque:setup` hook in `lib/tasks/whatever.rake` that loads the `environment` task every time. ### In a Rails app, as a plugin $ ./script/plugin install git://github.com/defunkt/resque That's it! Resque will automatically be available when your Rails app loads. To start a worker: $ QUEUE=* rake environment resque:work Don't forget you can define a `resque:setup` hook in `lib/tasks/whatever.rake` that loads the `environment` task every time. Configuration ------------- You may want to change the Redis host and port Resque connects to, or set various other options at startup. Resque has a `redis` setter which can be given a string or a Redis object. This means if you're already using Redis in your app, Resque can re-use the existing connection. String: `Resque.redis = 'localhost:6379'` Redis: `Resque.redis = $redis` For our rails app we have a `config/initializers/resque.rb` file where we load `config/resque.yml` by hand and set the Redis information appropriately. Here's our `config/resque.yml`: development: localhost:6379 test: localhost:6379 staging: redis1.se.github.com:6379 fi: localhost:6379 production: redis1.ae.github.com:6379 And our initializer: rails_root = ENV['RAILS_ROOT'] || File.dirname(__FILE__) + '/../..' rails_env = ENV['RAILS_ENV'] || 'development' resque_config = YAML.load_file(rails_root + '/config/resque.yml') Resque.redis = resque_config[rails_env] Easy peasy! Why not just use `RAILS_ROOT` and `RAILS_ENV`? Because this way we can tell our Sinatra app about the config file: $ RAILS_ENV=production resque-web rails_root/config/initializers/resque.rb Now everyone is on the same page. Plugins and Hooks ----------------- For a list of available plugins see . If you'd like to write your own plugin, or want to customize Resque using hooks (such as `Resque.after_fork`), see [docs/HOOKS.md](http://github.com/defunkt/resque/blob/master/docs/HOOKS.md). Namespaces ---------- If you're running multiple, separate instances of Resque you may want to namespace the keyspaces so they do not overlap. This is not unlike the approach taken by many memcached clients. This feature is provided by the [redis-namespace][rs] library, which Resque uses by default to separate the keys it manages from other keys in your Redis server. Simply use the `Resque.redis.namespace` accessor: Resque.redis.namespace = "resque:GitHub" We recommend sticking this in your initializer somewhere after Redis is configured. Demo ---- Resque ships with a demo Sinatra app for creating jobs that are later processed in the background. Try it out by looking at the README, found at `examples/demo/README.markdown`. Monitoring ---------- ### god If you're using god to monitor Resque, we have provided example configs in `examples/god/`. One is for starting / stopping workers, the other is for killing workers that have been running too long. ### monit If you're using monit, `examples/monit/resque.monit` is provided free of charge. This is **not** used by GitHub in production, so please send patches for any tweaks or improvements you can make to it. Development ----------- Want to hack on Resque? First clone the repo and run the tests: git clone git://github.com/defunkt/resque.git cd resque rake test If the tests do not pass make sure you have Redis installed correctly (though we make an effort to tell you if we feel this is the case). The tests attempt to start an isolated instance of Redis to run against. Also make sure you've installed all the dependencies correctly. For example, try loading the `redis-namespace` gem after you've installed it: $ irb >> require 'rubygems' => true >> require 'redis/namespace' => true If you get an error requiring any of the dependencies, you may have failed to install them or be seeing load path issues. Feel free to ping the mailing list with your problem and we'll try to sort it out. Contributing ------------ Once you've made your great commits: 1. [Fork][1] Resque 2. Create a topic branch - `git checkout -b my_branch` 3. Push to your branch - `git push origin my_branch` 4. Create an [Issue][2] with a link to your branch 5. That's it! You might want to checkout our [Contributing][cb] wiki page for information on coding standards, new features, etc. Mailing List ------------ To join the list simply send an email to . This will subscribe you and send you information about your subscription, including unsubscribe information. The archive can be found at . Meta ---- * Code: `git clone git://github.com/defunkt/resque.git` * Home: * Docs: * Bugs: * List: * Chat: * Gems: This project uses [Semantic Versioning][sv]. Author ------ Chris Wanstrath :: chris@ozmm.org :: @defunkt [0]: http://github.com/blog/542-introducing-resque [1]: http://help.github.com/forking/ [2]: http://github.com/defunkt/resque/issues [sv]: http://semver.org/ [rs]: http://github.com/defunkt/redis-namespace [cb]: http://wiki.github.com/defunkt/resque/contributing