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Merge pull request #361 from atailouloute/master
Fix typos
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README.md

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From: http://www.rabbitmq.com/tutorials/tutorial-two-python.html
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Be careful as implementing the fair dispatching introduce a latency that will hurt performance (see [this blogpost](http://www.rabbitmq.com/blog/2012/05/11/some-queuing-theory-throughput-latency-and-bandwidth/)). But implemeting it allow you to scale horizontally dynamically as the queue is increasing.
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You should evaluate, as the blogpost reccommand, the right value of prefetch_size accordingly with the time taken to process each message and your network performance.
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You should evaluate, as the blogpost recommends, the right value of prefetch_size accordingly with the time taken to process each message and your network performance.
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With RabbitMqBundle, you can configure that qos_options per consumer like that:
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### Dynamic Consumers ###
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Sometimes you have to change the consumer's configuration on the fly.
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Dynamic consumers allow you to define the consumers queue options programatically, based on the context.
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Dynamic consumers allow you to define the consumers queue options programmatically, based on the context.
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e.g. In a scenario when the defined consumer must be responsible for a dynamic number of topics and you do not want (or can't) change it's configuration every time.
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