Celery 3.0 Documentationapply_async, etc., including being called directly (__call__). Calling the signature will execute the task inline in the current process: >>> add(2, 2) 4 >>> add.s(2, 2)() 4 delay is our beloved shortcut to apply_async pool. class celery.concurrency.solo.TaskPool(*args, **kwargs)[source] Solo task pool (blocking, inline, fast). body_can_be_buffer = True © Copyright 2009-2016, Ask Solem & contributors. index modules is, if accept_magic_kwargs is enabled (her by called “compat mode”), the task decorator executes inline like before, however for custom apps the @task decorator now returns a special PromiseProxy object0 码力 | 2110 页 | 2.23 MB | 1 年前3
Celery v4.0.0 Documentationapply_async, etc., including being called directly (__call__). Calling the signature will execute the task inline in the current process: >>> add(2, 2) 4 >>> add.s(2, 2)() 4 delay is our beloved shortcut to apply_async pool. class celery.concurrency.solo.TaskPool(*args, **kwargs)[source] Solo task pool (blocking, inline, fast). body_can_be_buffer = True © Copyright 2009-2016, Ask Solem & contributors. index modules is, if accept_magic_kwargs is enabled (her by called “compat mode”), the task decorator executes inline like before, however for custom apps the @task decorator now returns a special PromiseProxy object0 码力 | 2106 页 | 2.23 MB | 1 年前3
Celery v5.0.1 Documentationapply_async, etc., including being called directly (__call__). Calling the signature will execute the task inline in the current process: >>> add(2, 2) 4 >>> add.s(2, 2)() 4 delay is our beloved shortcut to apply_async pool. class celery.concurrency.solo.TaskPool(*args, **kwargs)[source] Solo task pool (blocking, inline, fast). body_can_be_buffer = True This document describes the current stable version of Celery is, if accept_magic_kwargs is enabled (her by called “compat mode”), the task decorator executes inline like before, however for custom apps the @task decorator now returns a special PromiseProxy object0 码力 | 2313 页 | 2.13 MB | 1 年前3
Celery v5.0.2 Documentationapply_async, etc., including being called directly (__call__). Calling the signature will execute the task inline in the current process: >>> add(2, 2) 4 >>> add.s(2, 2)() 4 delay is our beloved shortcut to apply_async pool. class celery.concurrency.solo.TaskPool(*args, **kwargs)[source] Solo task pool (blocking, inline, fast). body_can_be_buffer = True This document describes the current stable version of Celery is, if accept_magic_kwargs is enabled (her by called “compat mode”), the task decorator executes inline like before, however for custom apps the @task decorator now returns a special PromiseProxy object0 码力 | 2313 页 | 2.14 MB | 1 年前3
Celery v5.0.0 Documentationapply_async, etc., including being called directly (__call__). Calling the signature will execute the task inline in the current process: >>> add(2, 2) 4 >>> add.s(2, 2)() 4 delay is our beloved shortcut to apply_async pool. class celery.concurrency.solo.TaskPool(*args, **kwargs)[source] Solo task pool (blocking, inline, fast). body_can_be_buffer = True This document describes the current stable version of Celery is, if accept_magic_kwargs is enabled (her by called “compat mode”), the task decorator executes inline like before, however for custom apps the @task decorator now returns a special PromiseProxy object0 码力 | 2309 页 | 2.13 MB | 1 年前3
Celery v5.0.5 Documentationapply_async, etc., including being called directly (__call__). Calling the signature will execute the task inline in the current process: >>> add(2, 2) 4 >>> add.s(2, 2)() 4 delay is our beloved shortcut to apply_async pool. class celery.concurrency.solo.TaskPool(*args, **kwargs)[source] Solo task pool (blocking, inline, fast). body_can_be_buffer = True This document describes the current stable version of Celery is, if accept_magic_kwargs is enabled (her by called “compat mode”), the task decorator executes inline like before, however for custom apps the @task decorator now returns a special PromiseProxy object0 码力 | 2315 页 | 2.14 MB | 1 年前3
Celery 3.1 Documentationsupports delay and apply_async or being called directly. Calling the signature will execute the task inline in the current process: >>> add(2, 2) 4 >>> add.s(2, 2)() 4 delay is our beloved shortcut to apply_async That is, if accept_magic_kwargs is enabled (herby called “compat mode”), the task decorator executes inline like before, however for custom apps the @task decorator now returns a special PromiseProxy object See apply_async(). apply(args=(), kwargs={}, ...) Same as apply_async() but executed the task inline instead of sending a task message. freeze(_id=None) Finalize the signature by adding a concrete0 码力 | 607 页 | 2.27 MB | 1 年前3
Celery 3.1 Documentationsupports delay and apply_async or being called directly. Calling the signature will execute the task inline in the current process: >>> add(2, 2) 4 >>> add.s(2, 2)() 4 delay is our beloved shortcut to apply_async That is, if accept_magic_kwargs is enabled (herby called “compat mode”), the task decorator executes inline like before, however for custom apps the @task decorator now returns a special PromiseProxy object options. See apply_async(). apply(args=(), kwargs={}, …) Same as apply_async() but executed the task inline instead of sending a task message. freeze(_id=None) Finalize the signature by adding a concrete0 码力 | 887 页 | 1.22 MB | 1 年前3
Celery 3.0 Documentationapply_async, etc., including being called directly (__call__). Calling the signature will execute the task inline in the current process: >>> add(2, 2) 4 >>> add.s(2, 2)() 4 delay is our beloved shortcut to apply_async execution pool. class celery.concurrency.solo.TaskPool(*args, **kwargs) Solo task pool (blocking, inline, fast). body_can_be_buffer = True celery.concurrency.prefork Prefork execution pool. Pool implementation is, if accept_magic_kwargs is enabled (her by called “compat mode”), the task decorator executes inline like before, however for custom apps the @task decorator now returns a special PromiseProxy object0 码力 | 703 页 | 2.60 MB | 1 年前3
Celery v4.0.1 Documentationapply_async, etc., including being called directly (__call__). Calling the signature will execute the task inline in the current process: >>> add(2, 2) 4 >>> add.s(2, 2)() 4 delay is our beloved shortcut to apply_async execution pool. class celery.concurrency.solo.TaskPool(*args, **kwargs) Solo task pool (blocking, inline, fast). body_can_be_buffer = True This document describes the current stable version of Celery is, if accept_magic_kwargs is enabled (her by called “compat mode”), the task decorator executes inline like before, however for custom apps the @task decorator now returns a special PromiseProxy object0 码力 | 1040 页 | 1.37 MB | 1 年前3
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