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资源说明：background
== Background A web application that does a "pretend email sending" in the background. The background process then pings back to the client when the action is done (essentially a sleep for some seconds). Uses resque, redis, faye to accomplish this. == Installation 1. Install redis 2. Do a bundle install to install gems resque, faye. Do a db set up (just creates a users table) bundle install rake db:migrate 3. Run the rake job to start listening to workers (resque side) - these workers listen to requests coming from the rails web app via user browser requests. RAILS_ENV=development rake resque:work QUEUE='*' 4. Start the faye server rackup faye.ru -s thin -E development 5. Start the web server rails s 6. For checking the resque job queue - go to http://localhost:3000/resque/queues 7. Create a new user by going to http://localhost:3000/users and clicking on New User link. To submit an email job for the user with user id 1 Go to http://localhost:3000/users/1/ and click on the Email link You should get an alert from the server side in a few seconds. That is it - you have exercised the power of faye and redis to submit a job and get a message back from the server to the client asynchronously`. When you click on the email link, following events happen: . In the email action of users controller, we submit a job to Emailer worker . The worker (app/workers/emailer.rb) picks the job in which it sleeps for a few seconds and then sends the "email sent" message to the faye server on the channel "/messages/1". In this example, the channel id is simply the user id but in real application, it would also have a random guid component so that we do not confuse between different messages and all. . On the client, we are already listening on this channel - so we get the message and give an alert - following is the logic in layout/application.html.erb that does this 8. As mentioned, in real application, you would create a separate channel (includes a random guid) for each job - so the clients do not interfere with each other. You would also make the worker more light weight by not loading the entire rails environment for each worker task.
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