Celery 2.0 Documentation
Tokyo Tyrant to store the results. – amqp Send results back as AMQP messages (WARNING While very fast, you must make sure you only receive the result once. See Executing Tasks). 46 Chapter 3. Configuration name are the same, instead of assuming that the function is a descriptor. This approach is equally fast, but not 100% reliable because functions can be stored on an attribute named differenty than the function’s result store backend. It uses messages to publish task return value and status. And it’s incredibly fast! See http://github.com/ask/celery/issues/closed#issue/6 for more info! • AMQP QoS (prefetch count)0 码力 | 165 页 | 492.43 KB | 1 年前3Celery 1.0 Documentation
Tokyo Tyrant to store the results. – amqp Send results back as AMQP messages (WARNING While very fast, you must make sure you only receive the result once. See Executing Tasks). 3.4 Database backend result store backend. It uses messages to publish task return value and status. And it’s incredibly fast! See http://github.com/ask/celery/issues/closed#issue/6 for more info! • AMQP QoS (prefetch count) apply should return HttpResponse instance. Thanks to Jerzy Kozera. Closes #32 • PeriodicTask: Save conversion of run_every from int to timedelta to the class attribute instead of on the instance. • Exceptions0 码力 | 123 页 | 400.69 KB | 1 年前3Celery 1.0 Documentation
net/tokyotyrant/] to store the results. amqp Send results back as AMQP messages (WARNING While very fast, you must make sure you only receive the result once. See Executing Tasks). Database backend settings result store backend. It uses messages to publish task return value and status. And it’s incredibly fast! See http://github.com/ask/celery/issues/closed#issue/6 for more info! AMQP QoS (prefetch count) apply should return HttpResponse instance. Thanks to Jerzy Kozera. Closes #32 PeriodicTask: Save conversion of run_every from int to timedelta to the class attribute instead of on the instance. Exceptions0 码力 | 221 页 | 283.64 KB | 1 年前3Celery 2.0 Documentation
net/tokyotyrant/] to store the results. amqp Send results back as AMQP messages (WARNING While very fast, you must make sure you only receive the result once. See Executing Tasks). Database backend settings name are the same, instead of assuming that the function is a descriptor. This approach is equally fast, but not 100% reliable because functions can be stored on an attribute named differenty than the function’s result store backend. It uses messages to publish task return value and status. And it’s incredibly fast! See http://github.com/ask/celery/issues/closed#issue/6 for more info! AMQP QoS (prefetch count)0 码力 | 284 页 | 332.71 KB | 1 年前3Celery v4.0.1 Documentation
or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica replication. Fast A single Celery process can process millions of tasks a minute, with sub- millisecond round-trip supported in many programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson [https://pypi.python.org/pypi/simplejson/] https://ci.appveyor.com/project/ask/django-celery-results PyPI: django-celery-results librabbitmq Very fast Python AMQP client written in C. git: https://github.com/celery/librabbitmq PyPI: librabbitmq cell0 码力 | 1040 页 | 1.37 MB | 1 年前3Celery v4.0.2 Documentation
or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica replication. Fast A single Celery process can process millions of tasks a minute, with sub- millisecond round-trip supported in many programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson [https://pypi.python.org/pypi/simplejson/] https://ci.appveyor.com/project/ask/django-celery-results PyPI: django-celery-results librabbitmq Very fast Python AMQP client written in C. git: https://github.com/celery/librabbitmq PyPI: librabbitmq cell0 码力 | 1042 页 | 1.37 MB | 1 年前3Celery v4.1.0 Documentation
failure, and some brokers support HA in way of Primary/Primary or Primary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency supported in many programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson. The primary disadvantage to JSON https://ci.appveyor.com/project/ask/django-celery-results PyPI django-celery-results librabbitmq Very fast Python AMQP client written in C. git https://github.com/celery/librabbitmq PyPI librabbitmq 2.50 码力 | 714 页 | 2.63 MB | 1 年前3Celery v4.0.1 Documentation
failure, and some brokers support HA in way of Primary/Primary or Primary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency supported in many programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson. The primary disadvantage to JSON https://ci.appveyor.com/project/ask/django-celery-results PyPI django-celery-results librabbitmq Very fast Python AMQP client written in C. git https://github.com/celery/librabbitmq PyPI librabbitmq cell0 码力 | 705 页 | 2.63 MB | 1 年前3Celery v4.1.0 Documentation
or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica replication. Fast A single Celery process can process millions of tasks a minute, with sub- millisecond round-trip supported in many programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson [https://pypi.python.org/pypi/simplejson/] https://ci.appveyor.com/project/ask/django-celery-results PyPI: django-celery-results librabbitmq Very fast Python AMQP client written in C. git: https://github.com/celery/librabbitmq PyPI: librabbitmq cell0 码力 | 1057 页 | 1.35 MB | 1 年前3Celery 4.0 Documentation
failure, and some brokers support HA in way of Primary/Primary or Primary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency supported in many programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson. The primary disadvantage to JSON https://ci.appveyor.com/project/ask/django-celery-results PyPI django-celery-results librabbitmq Very fast Python AMQP client written in C. git https://github.com/celery/librabbitmq PyPI librabbitmq cell0 码力 | 707 页 | 2.63 MB | 1 年前3
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