24 Mar '13, 1am

Beanstalk, a Simple and Fast Queueing Backend

Beanstalk, a Simple and Fast Queueing Backend

Priorities - Give a number from 0 to 1000 when queueing a job and it will jump ahead of all jobs already enqueued with a higher number. Persistence - Although beanstalkd stores its jobs in memory for speed and simplicity (ala memcached or redis-server), it can also save its state to a file so that you can cycle the beanstalkd process without losing any jobs. Federation - Fault-tolerance and horizontal scalability is provided the same way as Memcache - through federation by the client. Take a look at how the Ruby client handles multiple beanstalkd servers , it’s really quite clever. Buried jobs - When a job causes an error, you can bury it. This keeps it around for later introspection and debugging (or even re-running it), while keeping it separated from active jobs. Timeouts - The default behavior for jobs not acknowledged by a client (by deleting it when finished) to re-q...

Full article: http://adam.heroku.com/past/2010/4/24/beanstalk_a_simple_...

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