Celery v5.0.1 DocumentationTuple heap_multiplier = 4 itertasks(limit=None)[source] rebuild_taskheap(timetuple=clocks.timetuple'>)[source] task_count = 0 task_event(type_, fields)[source] Deprecated, use event() syncing state with neighbor workers. At startup, or upon consumer restart, this will: Sync logical clocks. Sync revoked tasks. compatible_transport(app)[source] compatible_transports = {'amqp', 'redis'} syncing state with neighbor workers. At startup, or upon consumer restart, this will: Sync logical clocks. Sync revoked tasks. compatible_transport(app)[source] compatible_transports = {'amqp', 'redis'} 0 码力 | 2313 页 | 2.13 MB | 1 年前3
Celery 3.0 Documentationanymore, and must make sure to remove it. Events are now ordered using logical time Keeping physical clocks in perfect sync is impossible, so using time-stamps to order events in a distributed system isn’t difference between the senders time and the internal time is greater than 15 seconds, suggesting that the clocks are out of sync. Monotonic clock support. A monotonic clock is now used for timeouts and scheduling heap_multiplier = 4 State.itertasks(limit=None)[source] State.rebuild_taskheap(timetuple=clocks.timetuple'>) [source] State.task_count = 0 State.task_event(type_, fields)[source] Deprecated 0 码力 | 2110 页 | 2.23 MB | 1 年前3
Celery v4.0.0 Documentationanymore, and must make sure to remove it. Events are now ordered using logical time Keeping physical clocks in perfect sync is impossible, so using time-stamps to order events in a distributed system isn’t difference between the senders time and the internal time is greater than 15 seconds, suggesting that the clocks are out of sync. Monotonic clock support. A monotonic clock is now used for timeouts and scheduling heap_multiplier = 4 State.itertasks(limit=None)[source] State.rebuild_taskheap(timetuple=clocks.timetuple'>) [source] State.task_count = 0 State.task_event(type_, fields)[source] Deprecated 0 码力 | 2106 页 | 2.23 MB | 1 年前3
Celery v5.0.2 DocumentationTuple heap_multiplier = 4 itertasks(limit=None)[source] rebuild_taskheap(timetuple=clocks.timetuple'>)[source] task_count = 0 task_event(type_, fields)[source] Deprecated, use event() syncing state with neighbor workers. At startup, or upon consumer restart, this will: Sync logical clocks. Sync revoked tasks. compatible_transport(app)[source] compatible_transports = {'amqp', 'redis'} syncing state with neighbor workers. At startup, or upon consumer restart, this will: Sync logical clocks. Sync revoked tasks. compatible_transport(app)[source] compatible_transports = {'amqp', 'redis'} 0 码力 | 2313 页 | 2.14 MB | 1 年前3
Celery v5.0.0 DocumentationTuple heap_multiplier = 4 itertasks(limit=None)[source] rebuild_taskheap(timetuple=clocks.timetuple'>)[source] task_count = 0 task_event(type_, fields)[source] Deprecated, use event() syncing state with neighbor workers. At startup, or upon consumer restart, this will: Sync logical clocks. Sync revoked tasks. compatible_transport(app)[source] compatible_transports = {'amqp', 'redis'} syncing state with neighbor workers. At startup, or upon consumer restart, this will: Sync logical clocks. Sync revoked tasks. compatible_transport(app)[source] compatible_transports = {'amqp', 'redis'} 0 码力 | 2309 页 | 2.13 MB | 1 年前3
Celery v5.0.5 DocumentationTuple heap_multiplier = 4 itertasks(limit=None)[source] rebuild_taskheap(timetuple=clocks.timetuple'>)[source] task_count = 0 task_event(type_, fields)[source] Deprecated, use event() syncing state with neighbor workers. At startup, or upon consumer restart, this will: Sync logical clocks. Sync revoked tasks. compatible_transport(app)[source] compatible_transports = {'amqp', 'redis'} syncing state with neighbor workers. At startup, or upon consumer restart, this will: Sync logical clocks. Sync revoked tasks. compatible_transport(app)[source] compatible_transports = {'amqp', 'redis'} 0 码力 | 2315 页 | 2.14 MB | 1 年前3
Celery v4.0.1 Documentationanymore, and must make sure to remove it. Events are now ordered using logical time Keeping physical clocks in perfect sync is impossible, so using time-stamps to order events in a distributed system isn’t difference between the senders time and the internal time is greater than 15 seconds, suggesting that the clocks are out of sync. Monotonic clock support. A monotonic clock is now used for timeouts and scheduling heap_multiplier = 4 State.itertasks(limit=None) State.rebuild_taskheap(timetuple=clocks.timetuple'>) State.task_count = 0 State.task_event(type_, fields) Deprecated, use event(). State 0 码力 | 1040 页 | 1.37 MB | 1 年前3
Celery v4.0.2 Documentationanymore, and must make sure to remove it. Events are now ordered using logical time Keeping physical clocks in perfect sync is impossible, so using time-stamps to order events in a distributed system isn’t difference between the senders time and the internal time is greater than 15 seconds, suggesting that the clocks are out of sync. Monotonic clock support. A monotonic clock is now used for timeouts and scheduling heap_multiplier = 4 State.itertasks(limit=None) State.rebuild_taskheap(timetuple=clocks.timetuple'>) State.task_count = 0 State.task_event(type_, fields) Deprecated, use event(). State 0 码力 | 1042 页 | 1.37 MB | 1 年前3
Celery v4.1.0 Documentationanymore, and must make sure to remove it. Events are now ordered using logical time Keeping physical clocks in perfect sync is impossible, so using time-stamps to order events in a distributed system isn’t difference between the senders time and the internal time is greater than 15 seconds, suggesting that the clocks are out of sync. Monotonic clock support. A monotonic clock is now used for timeouts and scheduling heap_multiplier = 4 State.itertasks(limit=None) State.rebuild_taskheap(timetuple=clocks.timetuple'>) State.task_count = 0 State.task_event(type_, fields) Deprecated, use event(). State 0 码力 | 1057 页 | 1.35 MB | 1 年前3
Celery 4.0 Documentationanymore, and must make sure to remove it. Events are now ordered using logical time Keeping physical clocks in perfect sync is impossible, so using time-stamps to order events in a distributed system isn’t difference between the senders time and the internal time is greater than 15 seconds, suggesting that the clocks are out of sync. Monotonic clock support. A monotonic clock is now used for timeouts and scheduling heap_multiplier = 4 State.itertasks(limit=None) State.rebuild_taskheap(timetuple=clocks.timetuple'>) State.task_count = 0 State.task_event(type_, fields) Deprecated, use event(). State 0 码力 | 1042 页 | 1.37 MB | 1 年前3
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