Celery v5.0.1 DocumentationA regression caused Control-c to be ineffective for shutdown. Redis result backend: Now using a pipeline to store state changes for improved performance. Contributed by Pepijn de Vos. Redis result backend: BUGREPORT_INFO.format( system=_platform.system(), arch=', '.join(x for x in _platform.architecture() if x), kernel_version=_platform.release(), py_i=pyimplementation(), celery_v=celery ensure(self._set, (key, value), **retry_policy) def _set(self, key, value): with self.client.pipeline() as pipe: if self.expires: pipe.setex(key, self.expires, value)0 码力 | 2313 页 | 2.13 MB | 1 年前3
Celery v5.0.2 DocumentationA regression caused Control-c to be ineffective for shutdown. Redis result backend: Now using a pipeline to store state changes for improved performance. Contributed by Pepijn de Vos. Redis result backend: BUGREPORT_INFO.format( system=_platform.system(), arch=', '.join(x for x in _platform.architecture() if x), kernel_version=_platform.release(), py_i=pyimplementation(), celery_v=celery ensure(self._set, (key, value), **retry_policy) def _set(self, key, value): with self.client.pipeline() as pipe: if self.expires: pipe.setex(key, self.expires, value)0 码力 | 2313 页 | 2.14 MB | 1 年前3
Celery v5.0.0 DocumentationA regression caused Control-c to be ineffective for shutdown. Redis result backend: Now using a pipeline to store state changes for improved performance. Contributed by Pepijn de Vos. Redis result backend: BUGREPORT_INFO.format( system=_platform.system(), arch=', '.join(x for x in _platform.architecture() if x), kernel_version=_platform.release(), py_i=pyimplementation(), celery_v=celery ensure(self._set, (key, value), **retry_policy) def _set(self, key, value): with self.client.pipeline() as pipe: if self.expires: pipe.setex(key, self.expires, value)0 码力 | 2309 页 | 2.13 MB | 1 年前3
Celery v5.0.5 DocumentationA regression caused Control-c to be ineffective for shutdown. Redis result backend: Now using a pipeline to store state changes for improved performance. Contributed by Pepijn de Vos. Redis result backend: BUGREPORT_INFO.format( system=_platform.system(), arch=', '.join(x for x in _platform.architecture() if x), kernel_version=_platform.release(), py_i=pyimplementation(), celery_v=celery ensure(self._set, (key, value), **retry_policy) def _set(self, key, value): with self.client.pipeline() as pipe: if self.expires: pipe.setex(key, self.expires, value)0 码力 | 2315 页 | 2.14 MB | 1 年前3
Celery 3.0 DocumentationA regression caused Control-c to be ineffective for shutdown. Redis result backend: Now using a pipeline to store state changes for improved performance. Contributed by Pepijn de Vos. Redis result backend: BUGREPORT_INFO.format( system=_platform.system(), arch=', '.join(x for x in _platform.architecture() if x), py_i=pyimplementation(), celery_v=celery.VERSION_BANNER, kombu_v=kombu ensure(self._set, (key, value), **retry_policy) def _set(self, key, value): with self.client.pipeline() as pipe: if self.expires: pipe.setex(key, self.expires, value)0 码力 | 2110 页 | 2.23 MB | 1 年前3
Celery v4.0.0 DocumentationA regression caused Control-c to be ineffective for shutdown. Redis result backend: Now using a pipeline to store state changes for improved performance. Contributed by Pepijn de Vos. Redis result backend: ensure(self._set, (key, value), **retry_policy) def _set(self, key, value): with self.client.pipeline() as pipe: if self.expires: pipe.setex(key, self.expires, value) get_key_for_group(gid, '.t') result = self.encode_result(result, state) with client.pipeline() as pipe: _, readycount, totaldiff, _, _ = pipe \0 码力 | 2106 页 | 2.23 MB | 1 年前3
Celery 1.0 Documentationfor Redis and databases is also available. 1.1.1 Overview This is a high level overview of the architecture. The broker pushes tasks to the worker servers. A worker server is a networked machine running0 码力 | 123 页 | 400.69 KB | 1 年前3
Celery 1.0 Documentationsupport for Redis and databases is also available. Overview This is a high level overview of the architecture. http://cloud.github.com/downloads/ask/celery/Celery-Overview-v4.jpg The broker pushes tasks0 码力 | 221 页 | 283.64 KB | 1 年前3
Celery 2.0 DocumentationCelery Documentation, Release 2.0.3 (stable) 1.1.1 Overview This is a high level overview of the architecture. The broker pushes tasks to the worker servers. A worker server is a networked machine running0 码力 | 165 页 | 492.43 KB | 1 年前3
Celery 2.0 Documentationinstalling from source Using the development version Overview This is a high level overview of the architecture. http://cloud.github.com/downloads/ask/celery/Celery-Overview-v4.jpg The broker pushes tasks0 码力 | 284 页 | 332.71 KB | 1 年前3
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