9. Celery 4.3.0 使用supervisor 配置后台运行

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海洋的渔夫 2021-06-18 14:07:00

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参考文献

https://thomassileo.name/blog/2012/08/20/how-to-keep-celery-running-with-supervisor/

前言

Supervisor是一个使你的进程可以在unix进程后台运行的python库。

本篇章的相关软件版本如下：

Celery 4.3.0
supervisor 4.0.4

安装

pip3 install supervisor

安装完毕后，查看版本如下：

[root@server01 ~]# pip3 list | grep su
supervisor              4.0.4

这时候使用pip的安装方式其实并没有设置好supervisor的环境变量，还需要查看一下supervisor安装后的二进制可执行文件在哪里。

搜索在 / 目录下，前后模糊查询名称为 supervi 的文件，如下：

[root@server01 performance]# find / -name "*supervi*" -ls | grep python3 | grep bin
405327    4 -rwxr-xr-x   1 root     root          242 Oct 12 18:42 /usr/local/python3/bin/supervisorctl
405325    4 -rwxr-xr-x   1 root     root          237 Oct 12 18:42 /usr/local/python3/bin/echo_supervisord_conf
405328    4 -rwxr-xr-x   1 root     root          240 Oct 12 18:42 /usr/local/python3/bin/supervisord

将 supervisorctl、echo_supervisord_conf 和 supervisord 添加软链到执行目录下/usr/bin

ln -s /usr/local/python3/bin/echo_supervisord_conf /usr/bin/echo_supervisord_conf
ln -s /usr/local/python3/bin/supervisord /usr/bin/supervisord
ln -s /usr/local/python3/bin/supervisorctl /usr/bin/supervisorctl

此时算是安装好了。

进入django项目目录，创建配置文件

cd /path/to/your/project # django项目目录
echo_supervisord_conf > supervisord.conf # 创建配置文件

执行如下：

# 进入django项目目录
[root@server01 ~]# cd /work/performance/
[root@server01 performance]# ls
apps  celery_tasks  db  docs  manage.py  performance  README.en.md  README.md  requirements.txt  start_celery.sh  static  templates  utils
[root@server01 performance]#
# 创建配置文件
[root@server01 performance]# echo_supervisord_conf > supervisord.conf
[root@server01 performance]#
[root@server01 performance]# cat supervisord.conf
; Sample supervisor config file.
;
; For more information on the config file, please see:
; http://supervisord.org/configuration.html
;
; Notes:
;  - Shell expansion ("~" or "$HOME") is not supported.  Environment
;    variables can be expanded using this syntax: "%(ENV_HOME)s".
;  - Quotes around values are not supported, except in the case of
;    the environment= options as shown below.
...

下一步追加Celery配置到supervisord.conf文件中

示例配置如下：

[program:celeryd]
command=/home/thomas/virtualenvs/yourvenv/bin/celery worker --app=myapp -l info
stdout_logfile=/path/to/your/logs/celeryd.log
stderr_logfile=/path/to/your/logs/celeryd.log
autostart=true
autorestart=true
startsecs=10
stopwaitsecs=600


command : 你要执行的 celery 命令， autostart ：自启动
”

我的配置如下：

[program:celeryd]
command=/usr/bin/celery -A celery_tasks worker -l info
stdout_logfile=/work/performance/logs/celeryd.log
stderr_logfile=/work/performance/logs/celeryd.log
autostart=true
autorestart=true
startsecs=10
stopwaitsecs=600

启动示例

只需要在django项目的路径下，执行supervisord即可。

$ supervisord

执行如下：

[root@server01 performance]# supervisord
/usr/local/python3/lib/python3.7/site-packages/supervisor/options.py:471: UserWarning: Supervisord is running as root and it is searching for its configuration file in default locations (including its current working directory); you probably want to specify a "-c" argument specifying an absolute path to a configuration file for improved security.
'Supervisord is running as root and it is searching '
[root@server01 performance]#

这里默认启动会提示直接根据当前路径查找配置文件supervisord.conf，当然也可以使用-c 参数指定配置文件。

supervisorctl 命令

在启动后台执行之后，可以使用supervisorctl 命令查看后台的日志信息，以及重启服务。

$ supervisorctl tail celeryd # 查看最后的日志
$ supervisorctl tail -f celeryd # 持续
$ supervisorctl restart celeryd
$ supervisorctl status celeryd
$ supervisorctl start celeryd
$ supervisorctl stop celeryd

# 使用具体的配置文件启动 supervisor：
$ supervisord -c supervisord.conf

# 重启supervisord也是通过supervisor的控制器：
$ supervisorctl -c supervisord.conf reload

# 关闭supervisord需要通过supervisor的控制器：
$ supervisorctl -c supervisord.conf shutdown

执行如下：

执行supervisorctl tail celeryd 可以看到打印一下日志就结束了，没法持续观察日志

[root@server01 performance]# supervisorctl tail celeryd
/usr/local/python3/lib/python3.7/site-packages/celery/platforms.py:801: RuntimeWarning: You're running the worker with superuser privileges: this is
absolutely not recommended!

Please specify a different user using the --uid option.

User information: uid=0 euid=0 gid=0 egid=0

  uid=uid, euid=euid, gid=gid, egid=egid,
[2019-10-13 22:30:20,858: INFO/MainProcess] Connected to redis://127.0.0.1:6379/8
[2019-10-13 22:30:20,871: INFO/MainProcess] mingle: searching for neighbors
[2019-10-13 22:30:21,893: INFO/MainProcess] mingle: all alone
[2019-10-13 22:30:21,906: WARNING/MainProcess] /usr/local/python3/lib/python3.7/site-packages/celery/fixups/django.py:202: UserWarning: Using settings.DEBUG leads to a memory leak, never use this setting in production environments!
  warnings.warn('Using settings.DEBUG leads to a memory leak, never '
[2019-10-13 22:30:21,907: INFO/MainProcess] celery@server01 ready.

[root@server01 performance]#

增加 -f 参数，持续查看日志信息

[root@server01 performance]# supervisorctl tail -f celeryd
==> Press Ctrl-C to exit <==
.tasks.send_pressure_report_mail
  . celery_tasks.tasks.stop_apiservers_nmon
  . celery_tasks.tasks.stop_locust

/usr/local/python3/lib/python3.7/site-packages/celery/platforms.py:801: RuntimeWarning: You're running the worker with superuser privileges: this is
absolutely not recommended!

Please specify a different user using the --uid option.

User information: uid=0 euid=0 gid=0 egid=0

  uid=uid, euid=euid, gid=gid, egid=egid,
[2019-10-13 22:38:10,078: INFO/MainProcess] Connected to redis://127.0.0.1:6379/8
[2019-10-13 22:38:10,089: INFO/MainProcess] mingle: searching for neighbors
[2019-10-13 22:38:11,111: INFO/MainProcess] mingle: all alone
[2019-10-13 22:38:11,126: WARNING/MainProcess] /usr/local/python3/lib/python3.7/site-packages/celery/fixups/django.py:202: UserWarning: Using settings.DEBUG leads to a memory leak, never use this setting in production environments!
  warnings.warn('Using settings.DEBUG leads to a memory leak, never '
[2019-10-13 22:38:11,126: INFO/MainProcess] celery@server01 ready.

重启服务

[root@server01 performance]# supervisorctl restart celeryd
celeryd: stopped
celeryd: started

查看运行状态

[root@server01 performance]# supervisorctl status celeryd
celeryd                          RUNNING   pid 3533, uptime 0:10:05
[root@server01 performance]#