successful() will be False, and result.result will contain the exception instance raised by the task. 1.5 Periodic Tasks You can schedule tasks to run at intervals like cron. Here’s an example of a periodic : run_every = timedelta(seconds=30) def run(self, **kwargs): logger = self.get_logger(**kwargs) 1.5. Periodic Tasks 11 Celery Documentation, Release 1.0.6 (stable) logger.info("Running periodic task

celeryd by using the -B option, this is convenient if you only have one server: $ celeryd -B 1.5 Resources 1.5. Resources 11 Celery Documentation, Release 2.0.3 (stable) • Getting Help – Mailing list

(Issue #446). 9.6 2.3.0 release-date 2011-08-05 12:00 P.M BST tested cPython: 2.5, 2.6, 2.7; PyPy: 1.5; Jython: 2.5.2 136 Chapter 9. Change history Celery Documentation, Release 2.3.5 9.6.1 Important deprecation. • PyPy: The default pool implementation used is now multiprocessing if running on PyPy 1.5. • celeryd-multi: now supports “pass through” options. Pass through options makes it easier to use

(Issue #446). 2.3.0 release-date: 2011-08-05 12:00 P.M BST tested: cPython: 2.5, 2.6, 2.7; PyPy: 1.5; Jython: 2.5.2 Important Notes Now requires Kombu 1.2.1 Results are now disabled by default. The deprecation. PyPy: The default pool implementation used is now multiprocessing if running on PyPy 1.5. celeryd-multi: now supports “pass through” options. Pass through options makes it easier to use

(Issue #446). 11.16 2.3.0 release-date 2011-08-05 12:00 P.M BST tested cPython: 2.5, 2.6, 2.7; PyPy: 1.5; Jython: 2.5.2 11.16.1 Important Notes • Now requires Kombu 1.2.1 • Results are now disabled by deprecation. • PyPy: The default pool implementation used is now multiprocessing if running on PyPy 1.5. • celeryd-multi: now supports “pass through” options. Pass through options makes it easier to use

(Issue #446). 9.13 2.3.0 release-date 2011-08-05 12:00 P.M BST tested cPython: 2.5, 2.6, 2.7; PyPy: 1.5; Jython: 2.5.2 9.13.1 Important Notes • Now requires Kombu 1.2.1 • Results are now disabled by default deprecation. • PyPy: The default pool implementation used is now multiprocessing if running on PyPy 1.5. • celeryd-multi: now supports “pass through” options. Pass through options makes it easier to use

(Issue #446). 2.3.0 release-date: 2011-08-05 12:00 P.M BST tested: cPython: 2.5, 2.6, 2.7; PyPy: 1.5; Jython: 2.5.2 Important Notes Now requires Kombu 1.2.1 Results are now disabled by default. The deprecation. PyPy: The default pool implementation used is now multiprocessing if running on PyPy 1.5. celeryd-multi: now supports “pass through” options. Pass through options makes it easier to use

(Issue #446). 2.3.0 release-date: 2011-08-05 12:00 P.M BST tested: cPython: 2.5, 2.6, 2.7; PyPy: 1.5; Jython: 2.5.2 Important Notes Now requires Kombu 1.2.1 Results are now disabled by default. The deprecation. PyPy: The default pool implementation used is now multiprocessing if running on PyPy 1.5. celeryd-multi: now supports “pass through” options. Pass through options makes it easier to use

(Issue #446). 2.3.0 release-date 2011-08-05 12:00 P.M BST tested cPython: 2.5, 2.6, 2.7; PyPy: 1.5; Jython: 2.5.2 release-by Ask Solem Important Notes • Now requires Kombu 1.2.1 • Results are now deprecation. • PyPy: The default pool implementation used is now multiprocessing if running on PyPy 1.5. • multi: now supports “pass through” options. Pass through options makes it easier to use celery

com/celery/celery/issues/446]). 2.3.0 release-date: 2011-08-05 12:00 P.M BST tested: cPython: 2.5, 2.6, 2.7; PyPy: 1.5; Jython: 2.5.2 release-by: Ask Solem Important Notes Now requires Kombu 1.2.1 Results are now disabled deprecation. PyPy: The default pool implementation used is now multiprocessing if running on PyPy 1.5. multi: now supports “pass through” options. Pass through options makes it easier to use celery without