SQLite for local development. Celery can run on a single machine, on multiple machines, or even across data centers. Get Started If this is the first time you’re trying to use Celery, or if you haven’t kept com/download.html Redis Redis [https://redis.io/] is also feature-complete, but is more susceptible to data loss in the event of abrupt termination or power failures. Detailed information about using Redis: different workers too, for example: $ celery multi start 10 -A proj -l INFO -Q:1-3 images,video -Q:4,5 data \ -Q default -L:4,5 debug For more examples see the multi module in the API reference. About

SQLite for local development. Celery can run on a single machine, on multiple machines, or even across data centers. Get Started If this is the first time you’re trying to use Celery, or if you haven’t kept com/download.html Redis Redis [https://redis.io/] is also feature-complete, but is more susceptible to data loss in the event of abrupt termination or power failures. Detailed information about using Redis: different workers too, for example: $ celery multi start 10 -A proj -l INFO -Q:1-3 images,video -Q:4,5 data \ -Q default -L:4,5 debug For more examples see the multi module in the API reference. About

SQLite for local development. Celery can run on a single machine, on multiple machines, or even across data centers. Get Started If this is the first time you’re trying to use Celery, or if you haven’t kept com/download.html Redis Redis [https://redis.io/] is also feature-complete, but is more susceptible to data loss in the event of abrupt termination or power failures. Detailed information about using Redis: different workers too, for example: $ celery multi start 10 -A proj -l INFO -Q:1-3 images,video -Q:4,5 data \ -Q default -L:4,5 debug For more examples see the multi module in the API reference. About

SQLite for local development. Celery can run on a single machine, on multiple machines, or even across data centers. Get Started If this is the first time you’re trying to use Celery, or if you haven’t kept com/download.html Redis Redis [https://redis.io/] is also feature-complete, but is more susceptible to data loss in the event of abrupt termination or power failures. Detailed information about using Redis: different workers too, for example: $ celery multi start 10 -A proj -l info -Q:1-3 images,video -Q:4,5 data \ -Q default -L:4,5 debug For more examples see the multi module in the API reference. About

SQLite for local development. Celery can run on a single machine, on multiple machines, or even across data centers. Get Started If this is the first time you’re trying to use Celery, or if you haven’t kept com/download.html Redis Redis [http://redis.io/] is also feature-complete, but is more susceptible to data loss in the event of abrupt termination or power failures. Detailed information about using Redis: different workers too, for example: $ celery multi start 10 -A proj -l info -Q:1-3 images,video -Q:4,5 data \ -Q default -L:4,5 debug For more examples see the multi module in the API reference. About

SQLite for local development. Celery can run on a single machine, on multiple machines, or even across data centers. Get Started If this is the first time you’re trying to use Celery, or if you haven’t kept com/download.html Redis Redis [http://redis.io/] is also feature-complete, but is more susceptible to data loss in the event of abrupt termination or power failures. Detailed information about using Redis: different workers too, for example: $ celery multi start 10 -A proj -l info -Q:1-3 images,video -Q:4,5 data \ -Q default -L:4,5 debug For more examples see the multi module in the API reference. About

Using Redis Redis is also feature-complete, but power failures or abrupt termination may result in data loss. • Using SQLAlchemy • Using the Django Database Using a database as a message queue is not they’re not used – Avoid launching synchronous subtasks • Performance and Strategies – Granularity – Data locality – State – Database transactions • Example – blog/models.py – blog/views.py – blog/tasks processing other waiting tasks. However, executing a task does have overhead. A message needs to be sent, data may not be local, etc. So if the tasks are too fine-grained the additional overhead may not be worth

they’re not used – Avoid launching synchronous subtasks • Performance and Strategies – Granularity – Data locality – State – Database transactions • Example – blog/models.py – blog/views.py – blog/tasks processing other waiting tasks. However, executing a task does have overhead. A message needs to be sent, data may not be local, etc. So if the tasks are too fine-grained the additional overhead may not be worth has a whole section dedicated to the topic of task granularity. Data locality The worker processing the task should be as close to the data as possible. The best would be to have a copy in memory, the worst

if they’re not used Avoid launching synchronous subtasks Performance and Strategies Granularity Data locality State Database transactions Example blog/models.py blog/views.py blog/tasks.py This guide processing other waiting tasks. However, executing a task does have overhead. A message needs to be sent, data may not be local, etc. So if the tasks are too fine-grained the additional overhead may not be worth has a whole section dedicated to the topic of task granularity. Data locality The worker processing the task should be as close to the data as possible. The best would be to have a copy in memory, the worst

SQLite for local development. Celery can run on a single machine, on multiple machines, or even across data centers. Get Started If this is the first time you’re trying to use Celery, or if you haven’t kept http://www.rabbitmq.com/download.html Redis Redis is also feature-complete, but is more susceptible to data loss in the event of abrupt termination or power failures. Detailed information about using Redis: different workers too, for example: $ celery multi start 10 -A proj -l info -Q:1-3 images,video -Q:4,5 data \ -Q default -L:4,5 debug For more examples see the multi module in the API reference. About the