overhead may not be worth it in the end. See also The book Art of Concurrency [http://oreilly.com/catalog/9780596521547] has a whole section dedicated to the topic of task granularity. Data locality The The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to increment import models from django.utils.translation import ugettext_lazy as _ class ClickManager(models.Manager): def increment_clicks(self, for_url, increment_by=1): """Increment the click count for

overhead may not be worth it in the end. See also The book Art of Concurrency [http://oreilly.com/catalog/9780596521547] has a whole section dedicated to the topic of task granularity. Data locality The The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to increment import models from django.utils.translation import ugettext_lazy as _ class ClickManager(models.Manager): def increment_clicks(self, for_url, increment_by=1): """Increment the click count for

overhead may not be worth it in the end. See also The book Art of Concurrency [http://oreilly.com/catalog/9780596521547] has a whole section dedicated to the topic of task granularity. Data locality The The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to increment import models from django.utils.translation import ugettext_lazy as _ class ClickManager(models.Manager): def increment_clicks(self, for_url, increment_by=1): """Increment the click count for

overhead may not be worth it in the end. See also The book Art of Concurrency [http://oreilly.com/catalog/9780596521547] has a whole section dedicated to the topic of task granularity. Data locality The https://github.com/celery/cl PyPI: http://pypi.python.org/pypi/cl cyme Distributed Celery Instance manager. git: https://github.com/celery/cyme PyPI: http://pypi.python.org/pypi/cyme docs: http://cyme.readthedocs The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to increment

overhead may not be worth it in the end. See also The book Art of Concurrency [http://oreilly.com/catalog/9780596521547] has a whole section dedicated to the topic of task granularity. Data locality The The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to increment import models from django.utils.translation import ugettext_lazy as _ class ClickManager(models.Manager): def increment_clicks(self, for_url, increment_by=1): """Increment the click count for

overhead added probably removes any benefit. See also The book Art of Concurrency [http://oreilly.com/catalog/9780596521547] has a section dedicated to the topic of task granularity [AOC1]. Breshears, Clay https://github.com/celery/cell cell [https://pypi.python.org/pypi/cell/] cyme Distributed Celery Instance manager. https://github.com/celery/cyme cyme [https://pypi.python.org/pypi/cyme/] https://cyme.readthedocs contrib.sphinx celery.contrib.testing.worker celery.contrib.testing.app celery.contrib.testing.manager celery.contrib.testing.mocks celery.contrib.rdb celery.events celery.events.receiver celery.events

overhead added probably removes any benefit. See also The book Art of Concurrency [http://oreilly.com/catalog/9780596521547] has a section dedicated to the topic of task granularity [AOC1]. Breshears, Clay https://github.com/celery/cell cell [https://pypi.python.org/pypi/cell/] cyme Distributed Celery Instance manager. https://github.com/celery/cyme cyme [https://pypi.python.org/pypi/cyme/] https://cyme.readthedocs contrib.sphinx celery.contrib.testing.worker celery.contrib.testing.app celery.contrib.testing.manager celery.contrib.testing.mocks celery.contrib.rdb celery.events celery.events.receiver celery.events

overhead added probably removes any benefit. See also The book Art of Concurrency [http://oreilly.com/catalog/9780596521547] has a section dedicated to the topic of task granularity [AOC1]. Breshears, Clay https://github.com/celery/cell cell [https://pypi.python.org/pypi/cell/] cyme Distributed Celery Instance manager. https://github.com/celery/cyme cyme [https://pypi.python.org/pypi/cyme/] https://cyme.readthedocs contrib.sphinx celery.contrib.testing.worker celery.contrib.testing.app celery.contrib.testing.manager celery.contrib.testing.mocks celery.contrib.rdb celery.events celery.events.receiver celery.events

overhead added probably removes any benefit. See also The book Art of Concurrency [http://oreilly.com/catalog/9780596521547] has a section dedicated to the topic of task granularity [AOC1]. Breshears, Clay https://github.com/celery/cell cell [https://pypi.python.org/pypi/cell/] cyme Distributed Celery Instance manager. https://github.com/celery/cyme cyme [https://pypi.python.org/pypi/cyme/] https://cyme.readthedocs contrib.sphinx celery.contrib.testing.worker celery.contrib.testing.app celery.contrib.testing.manager celery.contrib.testing.mocks celery.contrib.rdb celery.events celery.events.receiver celery.events

overhead added probably removes any benefit. See also The book Art of Concurrency [http://oreilly.com/catalog/9780596521547] has a section dedicated to the topic of task granularity [AOC1]. [AOC1] Breshears Actor library. git: https://github.com/celery/cell PyPI: cell cyme Distributed Celery Instance manager. git: https://github.com/celery/cyme PyPI: cyme docs: https://cyme.readthedocs.io/ Deprecated contrib.sphinx celery.contrib.testing.worker celery.contrib.testing.app celery.contrib.testing.manager celery.contrib.testing.mocks celery.contrib.rdb celery.events celery.events.receiver celery.events