Celery v5.0.1 Documentationupdate_page_info(url): page = fetch_page.delay(url).get(disable_sync_subtasks=False) info = parse_page.delay(url, page).get(disable_sync_subtasks=False) store_page_info.delay(url, info) @app.task verifying heartbeats), merging event fields together as events come in, making sure time-stamps are in sync, and so on. Combining these you can easily process events in real-time: from celery import Celery bootsteps: >>> app = Celery() >>> app.steps['worker'].add(MyWorkerStep) # < add class, don't instantiate >>> app.steps['consumer'].add(MyConsumerStep) >>> app.steps['consumer'].update([StepA, StepB])0 码力 | 2313 页 | 2.13 MB | 1 年前3
Celery v5.0.2 Documentationupdate_page_info(url): page = fetch_page.delay(url).get(disable_sync_subtasks=False) info = parse_page.delay(url, page).get(disable_sync_subtasks=False) store_page_info.delay(url, info) @app.task verifying heartbeats), merging event fields together as events come in, making sure time-stamps are in sync, and so on. Combining these you can easily process events in real-time: from celery import Celery bootsteps: >>> app = Celery() >>> app.steps['worker'].add(MyWorkerStep) # < add class, don't instantiate >>> app.steps['consumer'].add(MyConsumerStep) >>> app.steps['consumer'].update([StepA, StepB])0 码力 | 2313 页 | 2.14 MB | 1 年前3
Celery v5.0.0 Documentationupdate_page_info(url): page = fetch_page.delay(url).get(disable_sync_subtasks=False) info = parse_page.delay(url, page).get(disable_sync_subtasks=False) store_page_info.delay(url, info) @app.task verifying heartbeats), merging event fields together as events come in, making sure time-stamps are in sync, and so on. Combining these you can easily process events in real-time: from celery import Celery bootsteps: >>> app = Celery() >>> app.steps['worker'].add(MyWorkerStep) # < add class, don't instantiate >>> app.steps['consumer'].add(MyConsumerStep) >>> app.steps['consumer'].update([StepA, StepB])0 码力 | 2309 页 | 2.13 MB | 1 年前3
Celery v5.0.5 Documentationupdate_page_info(url): page = fetch_page.delay(url).get(disable_sync_subtasks=False) info = parse_page.delay(url, page).get(disable_sync_subtasks=False) store_page_info.delay(url, info) @app.task verifying heartbeats), merging event fields together as events come in, making sure time-stamps are in sync, and so on. Combining these you can easily process events in real-time: from celery import Celery bootsteps: >>> app = Celery() >>> app.steps['worker'].add(MyWorkerStep) # < add class, don't instantiate >>> app.steps['consumer'].add(MyConsumerStep) >>> app.steps['consumer'].update([StepA, StepB])0 码力 | 2315 页 | 2.14 MB | 1 年前3
Celery v4.0.0 Documentationverifying heartbeats), merging event fields together as events come in, making sure time-stamps are in sync, and so on. Combining these you can easily process events in real-time: from celery import Celery bootsteps: >>> app = Celery() >>> app.steps['worker'].add(MyWorkerStep) # < add class, don't instantiate >>> app.steps['consumer'].add(MyConsumerStep) >>> app.steps['consumer'].update([StepA, StepB]) CELERYBEAT_SCHEDULER beat_scheduler CELERYBEAT_SCHEDULE_FILENAME beat_schedule_filename CELERYBEAT_SYNC_EVERY beat_sync_every BROKER_URL broker_url BROKER_TRANSPORT broker_transport BROKER_TRANSPORT_OPTIONS0 码力 | 2106 页 | 2.23 MB | 1 年前3
Celery 3.0 Documentationverifying heartbeats), merging event fields together as events come in, making sure time-stamps are in sync, and so on. Combining these you can easily process events in real-time: from celery import Celery bootsteps: >>> app = Celery() >>> app.steps['worker'].add(MyWorkerStep) # < add class, don't instantiate >>> app.steps['consumer'].add(MyConsumerStep) >>> app.steps['consumer'].update([StepA, StepB]) CELERYBEAT_SCHEDULER beat_scheduler CELERYBEAT_SCHEDULE_FILENAME beat_schedule_filename CELERYBEAT_SYNC_EVERY beat_sync_every BROKER_URL broker_url BROKER_TRANSPORT broker_transport BROKER_TRANSPORT_OPTIONS0 码力 | 2110 页 | 2.23 MB | 1 年前3
Celery 4.4.2 Documentationupdate_page_info(url): page = fetch_page.delay(url).get(disable_sync_subtasks=False) info = parse_page.delay(url, page).get(disable_sync_subtasks=False) store_page_info.delay(url, info) @app.task def verifying heart- beats), merging event fields together as events come in, making sure time-stamps are in sync, and so on. Combining these you can easily process events in real-time: from celery import Celery bootsteps: >>> app = Celery() >>> app.steps['worker'].add(MyWorkerStep) # < add class, don't instantiate >>> app.steps['consumer'].add(MyConsumerStep) >>> app.steps['consumer'].update([StepA, StepB])0 码力 | 797 页 | 2.85 MB | 1 年前3
Celery 4.4.1 Documentationupdate_page_info(url): page = fetch_page.delay(url).get(disable_sync_subtasks=False) info = parse_page.delay(url, page).get(disable_sync_subtasks=False) store_page_info.delay(url, info) @app.task def verifying heart- beats), merging event fields together as events come in, making sure time-stamps are in sync, and so on. Combining these you can easily process events in real-time: from celery import Celery bootsteps: >>> app = Celery() >>> app.steps['worker'].add(MyWorkerStep) # < add class, don't instantiate >>> app.steps['consumer'].add(MyConsumerStep) >>> app.steps['consumer'].update([StepA, StepB])0 码力 | 797 页 | 2.85 MB | 1 年前3
Celery 4.4.0 Documentationupdate_page_info(url): page = fetch_page.delay(url).get(disable_sync_subtasks=False) info = parse_page.delay(url, page).get(disable_sync_subtasks=False) store_page_info.delay(url, info) @app.task def verifying heart- beats), merging event fields together as events come in, making sure time-stamps are in sync, and so on. Combining these you can easily process events in real-time: from celery import Celery bootsteps: >>> app = Celery() >>> app.steps['worker'].add(MyWorkerStep) # < add class, don't instantiate >>> app.steps['consumer'].add(MyConsumerStep) >>> app.steps['consumer'].update([StepA, StepB])0 码力 | 795 页 | 2.84 MB | 1 年前3
Celery 3.1 DocumentationAdd kombu.transport.django to INSTALLED_APPS: INSTALLED_APPS = ('kombu.transport.django', ) 3. Sync your database schema: $ python manage.py migrate kombu_transport_django Or if you are using a version verifying heart- beats), merging event fields together as events come in, making sure timestamps are in sync, and so on. Combining these you can easily process events in real-time: from celery import Celery bootsteps: >>> app = Celery() >>> app.steps['worker'].add(MyWorkerStep) # < add class, do not instantiate >>> app.steps['consumer'].add(MyConsumerStep) >>> app.steps['consumer'].update([StepA, StepB])0 码力 | 607 页 | 2.27 MB | 1 年前3
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