Celery 2.3 Documentationparallel execution you must start multiple instances (e.g. using celeryd-multi). Sadly an initial benchmark seems to show a 30% performance decrease on pypy-1.4.1 + JIT. We would like to find out why this0 码力 | 334 页 | 1.25 MB | 1 年前3- Celery 2.2 Documentationparallel execution you must start multiple instances (e.g. using celeryd-multi). Sadly an initial benchmark seems to show a 30% performance decrease on pypy-1.4.1 + JIT. We would like to find out why this0 码力 | 314 页 | 1.26 MB | 1 年前3
Celery 2.2 Documentationparallel execution you must start multiple instances (e.g. using celeryd-multi). Sadly an initial benchmark seems to show a 30% performance decrease on pypy-1.4.1 + JIT. We would like to find out why this0 码力 | 505 页 | 878.66 KB | 1 年前3- Celery 2.3 Documentationparallel execution you must start multiple instances (e.g. using celeryd-multi). Sadly an initial benchmark seems to show a 30% performance decrease on pypy-1.4.1 + JIT. We would like to find out why this0 码力 | 530 页 | 900.64 KB | 1 年前3
- Celery 2.5 Documentationparallel execution you must start multiple instances (e.g. using celeryd-multi). Sadly an initial benchmark seems to show a 30% performance decrease on pypy-1.4.1 + JIT. We would like to find out why this0 码力 | 400 页 | 1.40 MB | 1 年前3
- Celery 2.4 Documentationparallel execution you must start multiple instances (e.g. using celeryd-multi). Sadly an initial benchmark seems to show a 30% performance decrease on pypy-1.4.1 + JIT. We would like to find out why this0 码力 | 395 页 | 1.54 MB | 1 年前3
- Celery 2.4 Documentationparallel execution you must start multiple instances (e.g. using celeryd-multi). Sadly an initial benchmark seems to show a 30% performance decrease on pypy-1.4.1 + JIT. We would like to find out why this0 码力 | 543 页 | 957.42 KB | 1 年前3
- Celery 2.5 Documentationparallel execution you must start multiple instances (e.g. using celeryd-multi). Sadly an initial benchmark seems to show a 30% performance decrease on pypy-1.4.1 + JIT. We would like to find out why this0 码力 | 647 页 | 1011.88 KB | 1 年前3
- Celery 3.1 Documentationget parallel execution you must start multiple instances (e.g. using multi). Sadly an initial benchmark seems to show a 30% performance decrease on pypy-1.4.1 + JIT. We would like to find out why this0 码力 | 607 页 | 2.27 MB | 1 年前3
- Celery 3.1 Documentationget parallel execution you must start multiple instances (e.g. using multi). Sadly an initial benchmark seems to show a 30% performance decrease on pypy-1.4.1 + JIT. We would like to find out why this0 码力 | 887 页 | 1.22 MB | 1 年前3
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