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Scale like a pro Distributed computing with message queues and Python Roman Imankulov | Python Porto | December 2017

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Source: https://blog.kissmetrics.com/wp-content/uploads/2011/04/loading-time.pdf

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browser ./webserver.py request POST /obj/ obj.update()

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browser ./webserver.py request POST /obj/ obj.update() update search indexes

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browser ./webserver.py request POST /obj/ obj.update() update search indexes send email “object updated” …

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browser ./webserver.py request POST /obj/ obj.update() update search indexes update business analytics send email “object updated” …

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browser ./webserver.py request POST /obj/ obj.update() update search indexes update business analytics send email “object updated” … response

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browser ./webserver.py request POST /obj/ response obj.update() ./worker.py ./worker.py ./worker.py update search indexes send email “object updated” update business analytics

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Message queues

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queue

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frontends queue

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frontends queue workers

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frontends queue job 1 workers

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frontends queue job 1 workers job 2

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frontends queue job 1 workers job 2 job 3

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frontends queue put() job 1 workers job 2 job 3

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frontends queue put() job 1 workers job 2 job 3

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frontends queue job 1 workers job 2 job 3

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frontends queue job 1 workers put() job 2 job 3

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frontends queue job 1 workers put() job 2 job 3

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frontends queue job 1 workers job 2 job 3

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frontends queue job 1 workers put() job 2 job 3

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frontends queue job 1 workers put() job 2 job 3

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frontends queue job 1 workers job 2 job 3

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frontends queue job 1 get() workers job 2 job 3

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frontends queue get() workers job 2 job 3 job 1

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frontends queue workers job 2 job 3 job 1

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frontends queue workers get() job 2 job 3 job 1

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frontends queue workers get() job 3 job 1 job 2

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frontends queue workers job 3 job 1 job 2

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frontends queue workers job 3 job 2

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frontends queue workers job 3 job 2 get()

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frontends queue workers job 2 job 3 get()

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frontends queue workers job 2 job 3

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frontends queue workers

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Queue in python

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Multiprocessing

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Celery The queue out of the box

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Celery Workflows chains, groups and chords

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Task signatures

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Task signatures

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Task signatures

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Chains a(…) b(…) c(…)

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Chains a(…) b(…) c(…)

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Chains a(…) b(…) c(…)

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a(…) b(…) c(…) Groups

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a(…) b(…) c(…) Groups

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a(…) b(…) c(…) Groups

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Chords a(…) b(…) c(…) d(…)

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Chords a(…) b(…) c(…) d(…)

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Chords a(…) b(…) c(…) d(…)

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Celery Extras out of the box

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• Different backends

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• Different backends • Different serializers

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• Different backends • Different serializers • Callbacks / errbacks

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks • Delayed tasks

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks • Delayed tasks • Ignored results

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks • Delayed tasks • Ignored results • Expiring results

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks • Delayed tasks • Ignored results • Expiring results • Retry policies

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks • Delayed tasks • Ignored results • Expiring results • Retry policies • Time limits on task execution

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks • Delayed tasks • Ignored results • Expiring results • Retry policies • Time limits on task execution • Rate limits (N tasks per minute)

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks • Delayed tasks • Ignored results • Expiring results • Retry policies • Time limits on task execution • Rate limits (N tasks per minute) • Autoscaling

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks • Delayed tasks • Ignored results • Expiring results • Retry policies • Time limits on task execution • Rate limits (N tasks per minute) • Autoscaling • Multiple queues

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks • Delayed tasks • Ignored results • Expiring results • Retry policies • Time limits on task execution • Rate limits (N tasks per minute) • Autoscaling • Multiple queues • Introspection and statistics

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• Different backends • Different serializers • Callbacks / errbacks • Progress reports from tasks • Delayed tasks • Ignored results • Expiring results • Retry policies • Time limits on task execution • Rate limits (N tasks per minute) • Autoscaling • Multiple queues • Introspection and statistics • Periodic tasks and crontabs

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