 Celery 1.0 Documentation(stable) That’s it. There are more options available, like how many processes you want to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, BROKER_VHOST = "myvhost" That’s it. There are more options available, like how many processes you want to work in parallel (the CELERY_CONCURRENCY setting). You can also configure the backend used for storing instead. Important note: The task has to take the magic keyword arguments in order for max retries to work properly, this is because it keeps track of the current number of retries using the task_retries keyword0 码力 | 123 页 | 400.69 KB | 1 年前3 Celery 1.0 Documentation(stable) That’s it. There are more options available, like how many processes you want to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, BROKER_VHOST = "myvhost" That’s it. There are more options available, like how many processes you want to work in parallel (the CELERY_CONCURRENCY setting). You can also configure the backend used for storing instead. Important note: The task has to take the magic keyword arguments in order for max retries to work properly, this is because it keeps track of the current number of retries using the task_retries keyword0 码力 | 123 页 | 400.69 KB | 1 年前3
 Celery v5.0.1 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2313 页 | 2.13 MB | 1 年前3 Celery v5.0.1 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2313 页 | 2.13 MB | 1 年前3
 Celery v5.0.2 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2313 页 | 2.14 MB | 1 年前3 Celery v5.0.2 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2313 页 | 2.14 MB | 1 年前3
 Celery v5.0.5 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2315 页 | 2.14 MB | 1 年前3 Celery v5.0.5 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2315 页 | 2.14 MB | 1 年前3
 Celery 2.5 DocumentationThat’s it. There are more options available, like how many processes you want to use to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, certain way to support being pickled. Tasks that raise exceptions that are not pickleable will not work properly when Pickle is used as the serializer. To make sure that your exceptions are pickleable to ensure this is to have the exception call Exception.__init__. Let’s look at some examples that work, and one that doesn’t: # OK: class HttpError(Exception): pass # BAD: class HttpError(Exception):0 码力 | 400 页 | 1.40 MB | 1 年前3 Celery 2.5 DocumentationThat’s it. There are more options available, like how many processes you want to use to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, certain way to support being pickled. Tasks that raise exceptions that are not pickleable will not work properly when Pickle is used as the serializer. To make sure that your exceptions are pickleable to ensure this is to have the exception call Exception.__init__. Let’s look at some examples that work, and one that doesn’t: # OK: class HttpError(Exception): pass # BAD: class HttpError(Exception):0 码力 | 400 页 | 1.40 MB | 1 年前3
 Celery 1.0 Documentation("tasks", ) That’s it. There are more options available, like how many processes you want to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, BROKER_VHOST = "myvhost" That’s it. There are more options available, like how many processes you want to work in parallel (the CELERY_CONCURRENCY setting). You can also configure the backend used for storing instead. Important note: The task has to take the magic keyword arguments in order for max retries to work properly, this is because it keeps track of the current number of retries using the task_retries keyword0 码力 | 221 页 | 283.64 KB | 1 年前3 Celery 1.0 Documentation("tasks", ) That’s it. There are more options available, like how many processes you want to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, BROKER_VHOST = "myvhost" That’s it. There are more options available, like how many processes you want to work in parallel (the CELERY_CONCURRENCY setting). You can also configure the backend used for storing instead. Important note: The task has to take the magic keyword arguments in order for max retries to work properly, this is because it keeps track of the current number of retries using the task_retries keyword0 码力 | 221 页 | 283.64 KB | 1 年前3
 Celery v5.0.0 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2309 页 | 2.13 MB | 1 年前3 Celery v5.0.0 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2309 页 | 2.13 MB | 1 年前3
 Celery 2.5 DocumentationThat’s it. There are more options available, like how many processes you want to use to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, certain way to support being pickled. Tasks that raise exceptions that are not pickleable will not work properly when Pickle is used as the serializer. To make sure that your exceptions are pickleable to ensure this is to have the exception call Exception.__init__. Let’s look at some examples that work, and one that doesn’t: # OK: class HttpError(Exception): pass # BAD: class HttpError(Exception):0 码力 | 647 页 | 1011.88 KB | 1 年前3 Celery 2.5 DocumentationThat’s it. There are more options available, like how many processes you want to use to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, certain way to support being pickled. Tasks that raise exceptions that are not pickleable will not work properly when Pickle is used as the serializer. To make sure that your exceptions are pickleable to ensure this is to have the exception call Exception.__init__. Let’s look at some examples that work, and one that doesn’t: # OK: class HttpError(Exception): pass # BAD: class HttpError(Exception):0 码力 | 647 页 | 1011.88 KB | 1 年前3
 Celery 3.0 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2110 页 | 2.23 MB | 1 年前3 Celery 3.0 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2110 页 | 2.23 MB | 1 年前3
 Celery v4.0.0 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2106 页 | 2.23 MB | 1 年前3 Celery v4.0.0 DocumentationSteps with Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. Note While the here Troubleshooting Next Steps Using Celery in your Application Calling Tasks Canvas: Designing Work-flows Routing Remote Control Timezone Optimization What to do now? Resources Getting Help Bug tracker0 码力 | 2106 页 | 2.23 MB | 1 年前3
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