modify callers list shuffle = random.shuffle for _ in repeat(None): shuffle(it) yield it[0] broker_failover_strategy = random_failover_strategy broker_heartbeat pyamqp Default: 120 add fails if the key already exists status = cache.add(lock_id, oid, LOCK_EXPIRE) try: yield status finally: # memcache delete is very slow, but we have to use it to take # advantage yield connection else: # must've new connection, and also close the connection # after the block returns with create_new_connection() as connection: yield connection

modify callers list shuffle = random.shuffle for _ in repeat(None): shuffle(it) yield it[0] broker_failover_strategy = random_failover_strategy broker_heartbeat pyamqp Default: 120 add fails if the key already exists status = cache.add(lock_id, oid, LOCK_EXPIRE) try: yield status finally: # memcache delete is very slow, but we have to use it to take # advantage yield connection else: # must've new connection, and also close the connection # after the block returns with create_new_connection() as connection: yield connection

modify callers list shuffle = random.shuffle for _ in repeat(None): shuffle(it) yield it[0] broker_failover_strategy = random_failover_strategy broker_heartbeat pyamqp Default: 120 add fails if the key already exists status = cache.add(lock_id, oid, LOCK_EXPIRE) try: yield status finally: # memcache delete is very slow, but we have to use it to take # advantage yield connection else: # must've new connection, and also close the connection # after the block returns with create_new_connection() as connection: yield connection

modify callers list shuffle = random.shuffle for _ in repeat(None): shuffle(it) yield it[0] broker_failover_strategy = random_failover_strategy broker_heartbeat pyamqp Default: 120 add fails if the key already exists status = cache.add(lock_id, oid, LOCK_EXPIRE) try: yield status finally: # memcache delete is very slow, but we have to use it to take # advantage yield connection else: # must've new connection, and also close the connection # after the block returns with create_new_connection() as connection: yield connection

modify callers list shuffle = random.shuffle for _ in repeat(None): shuffle(it) yield it[0] broker_failover_strategy = random_failover_strategy broker_heartbeat transports supported: add fails if the key already exists status = cache.add(lock_id, oid, LOCK_EXPIRE) try: yield status finally: # memcache delete is very slow, but we have to use it to take # advantage yield connection else: # must've new connection, and also close the connection # after the block returns with create_new_connection() as connection: yield connection

modify callers list shuffle = random.shuffle for _ in repeat(None): shuffle(it) yield it[0] broker_failover_strategy = random_failover_strategy broker_heartbeat transports supported: add fails if the key already exists status = cache.add(lock_id, oid, LOCK_EXPIRE) try: yield status finally: # memcache delete is very slow, but we have to use it to take # advantage yield connection else: # must've new connection, and also close the connection # after the block returns with create_new_connection() as connection: yield connection

(stable) CELERYD_PREFETCH_MULTIPLIER The number of concurrent workers is multipled by this number to yield the wanted AMQP QoS message prefetch count. CELERYD_POOL Name of the task pool class used by the "Earth") celery.utils.repeatlast(it) Iterate over all elements in the iterator, and when its exhausted yield the last value infinitely. celery.utils.retry_over_time(fun, catch, args=[], kwargs={}, errback=

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used. CELERYD_PREFETCH_MULTIPLIER The number of concurrent workers is multipled by this number to yield the wanted AMQP QoS message prefetch count. CELERYD_POOL Name of the task pool class used by the "Earth") celery.utils.repeatlast(it) Iterate over all elements in the iterator, and when its exhausted yield the last value infinitely. celery.utils.retry_over_time(fun, catch, args=[], kwargs={}, errback=

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conf.CELERYD_PREFETCH_MULTIPLIER The number of concurrent workers is multipled by this number to yield the wanted AMQP QoS message prefetch count. Default is: 4 celery.conf.CELERYD_POOL Name of the task evaluate() celery.utils.repeatlast(it) Iterate over all elements in the iterator, and when its exhausted yield the last value infinitely. celery.utils.retry_over_time(fun, catch, args=[], kwargs={}, errback=

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conf.CELERYD_PREFETCH_MULTIPLIER The number of concurrent workers is multipled by this number to yield the wanted AMQP QoS message prefetch count. Default is: 4 celery.conf.CELERYD_POOL Name of the task evaluate() celery.utils.repeatlast(it) Iterate over all elements in the iterator, and when its exhausted yield the last value infinitely. celery.utils.retry_over_time(fun, catch, args=[], kwargs={}, errback=

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