安装celery
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sudo pip install celery |
实例化 celery
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from celery import celeryapp = celery("testapp")# 导入配置app.config_from_object('celery_tasks.config') # 自动添加任务app.autodiscover_tasks(["celery_tasks.test","celery_tasks.test2"]) |
简单配置
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# 任务队列的地址broker_url = "redis://127.0.0.1/14"# 任务处理结果的保存地址[如果不需要接收任务处理结果，那么，可以不设置下面]result_backend = "redis://127.0.0.1/15" |
文件目录如下
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.├── config.py├── main.py├── test│ └── tasks.py└── test2 ├── __init__.py └── tasks.py |
一个应用一个文件夹
异步任务的文件名必须是tasks.py
在需要执行该任务的地方导入该任务
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from celery_tasks.test.tasks import testfrom celery_tasks.test2.tasks import test as test2 test_id = test.delay()test2_id = test2.delay() print(test_id)print(test2_id) |
调用该异步任务会马上放回一个id,执行结果可以在result_backend中通过id找到
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/home/python/.virtualenvs/kol_site_py3/bin/python /home/python/projects/supervisor/supervisor/celery_tasks/test.pya6e13745-c05b-496d-bbbe-2b636f84009cd92d50b4-0ba1-4b05-9e96-eeb92a854929 process finished with exit code 0 |
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127.0.0.1:6379[15]> keys * 1) "celery-task-meta-2a9c0a4b-5b40-4121-9986-a8430fc6b235" 2) "celery-task-meta-0f16e227-393f-48ea-b41b-3419df84528e" 3) "celery-task-meta-fbf31a20-6eee-4298-8a91-214d2e5c9399" 4) "celery-task-meta-61f012c0-bde1-4344-9e1c-b5e8a7b93902" 5) "celery-task-meta-074a659f-d76f-4818-8516-f098d1b900ed" 6) "celery-task-meta-8a89c4db-f2e2-484b-94ee-e1af9911c69f" 7) "celery-task-meta-0012966d-e8fd-483b-b8ac-d160d65c8221" 8) "celery-task-meta-f97a452d-3812-4950-bfd9-02ff9e69a4b2" 9) "celery-task-meta-4bebe710-7725-43f5-b0f7-9a35b57ba3b1"10) "celery-task-meta-4b1cca23-31c3-4c82-a99f-bbe306846191"11) "celery-task-meta-4cdf3a68-7df4-4bdf-8f54-abe6be83df3a"12) "celery-task-meta-d92d50b4-0ba1-4b05-9e96-eeb92a854929"13) "celery-task-meta-17265693-ba36-4f6c-80c8-d89a52f549f7"14) "celery-task-meta-d62bbf16-6469-40a7-bc25-61b553014d76"15) "celery-task-meta-4cca0f47-2f2d-45e6-8341-52264e50d969"16) "celery-task-meta-1fd1e52a-00e1-486a-a224-36bd0fbb5d4a"17) "celery-task-meta-af3b9536-91a6-4ae3-ab9b-59755bfb4883"18) "celery-task-meta-b5710e2a-1905-44fd-8b11-4d7057113291"19) "celery-task-meta-bebeb902-cce1-4edb-bdac-734ed6dc16ae"20) "celery-task-meta-2771b961-694f-4727-9b19-07928834475e"21) "celery-task-meta-8c683476-5cec-4933-8370-73793d656e23"22) "celery-task-meta-6c8e6763-a416-4c02-9689-a0bb38bf26a6"23) "celery-task-meta-7a4edb71-b13b-4f0f-b882-408716bb3ba9"24) "celery-task-meta-4e368ca3-f686-4215-aed7-f0c6463cfac9"25) "celery-task-meta-757f196d-c377-4f38-982d-700fa4f45c6b"26) "celery-task-meta-094ea32e-5cf8-41c5-bf63-fb629e0e1e67"27) "celery-task-meta-2e1f2188-0806-41f1-8eb8-4a0f73ec2aca"28) "celery-task-meta-fd7e8fea-c738-4d49-b13d-c5d782eeaa96"29) "celery-task-meta-e476f036-7192-4687-b9b7-c6a06556b4c3"30) "celery-task-meta-2463c15f-5903-4381-8646-1b2aa6418ca0"31) "celery-task-meta-a6e13745-c05b-496d-bbbe-2b636f84009c"32) "celery-task-meta-f4f2d940-3e16-4d78-a0c4-3766eb91c908"33) "celery-task-meta-5a1eaba8-0675-4e82-aedc-fee801ff31ef"127.0.0.1:6379[15]> |
启动celery的方法
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# 最终在终端运行这个main文件celery -a 应用包名 worker -l info # 我们当前项目，在后端项目根目录下运行celery -a celery_tasks.main worker -l info# 守护进程celery multi start w1 -a celery_tasks.main -l info --logfile=./celerylog.log# 停止和重启 分别将 start 改为 stop / restart |
守护进程的另一种方式，使用supervisor，这是一个管理进程的工具，这种启动方式就是用supervisor接管celery。
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原文链接：https://blog.csdn.net/p571912102/article/details/82735052
