如何运行使用 AWS Elastic Beanstalk 可扩展的 Django 应用程序的 celery worker？

Question

如何将 Django 与 AWS Elastic Beanstalk 一起使用，它也将运行芹菜仅在主节点上执行任务？

Answer 1

这就是我在弹性 beanstalk 上使用 django 设置 celery 的方式，可扩展性很好。

请记住 'leader_only' 选项 container_commands 仅适用于应用程序的环境重建或部署。如果服务运行时间足够长，领导节点可能会被 Elastic Beanstalk 删除。为解决这个问题，您可能必须为领导节点应用实例保护。检查：http://docs.aws.amazon.com/autoscaling/latest/userguide/as-instance-termination.html#instance-protection-instance

为 celery worker 和节拍配置添加 bash 脚本。

添加文件root_folder/.ebextensions/files/celery_configuration.txt:

#!/usr/bin/env bash

# Get django environment variables
celeryenv=`cat /opt/python/current/env | tr '\n' ',' | sed 's/export //g' | sed 's/$PATH/%(ENV_PATH)s/g' | sed 's/$PYTHONPATH//g' | sed 's/$LD_LIBRARY_PATH//g' | sed 's/%/%%/g'`
celeryenv=${celeryenv%?}

# Create celery configuraiton script
celeryconf="[program:celeryd-worker]
; Set full path to celery program if using virtualenv
command=/opt/python/run/venv/bin/celery worker -A django_app --loglevel=INFO

directory=/opt/python/current/app
user=nobody
numprocs=1
stdout_logfile=/var/log/celery-worker.log
stderr_logfile=/var/log/celery-worker.log
autostart=true
autorestart=true
startsecs=10

; Need to wait for currently executing tasks to finish at shutdown.
; Increase this if you have very long running tasks.
stopwaitsecs = 600

; When resorting to send SIGKILL to the program to terminate it
; send SIGKILL to its whole process group instead,
; taking care of its children as well.
killasgroup=true

; if rabbitmq is supervised, set its priority higher
; so it starts first
priority=998

environment=$celeryenv

[program:celeryd-beat]
; Set full path to celery program if using virtualenv
command=/opt/python/run/venv/bin/celery beat -A django_app --loglevel=INFO --workdir=/tmp -S django --pidfile /tmp/celerybeat.pid

directory=/opt/python/current/app
user=nobody
numprocs=1
stdout_logfile=/var/log/celery-beat.log
stderr_logfile=/var/log/celery-beat.log
autostart=true
autorestart=true
startsecs=10

; Need to wait for currently executing tasks to finish at shutdown.
; Increase this if you have very long running tasks.
stopwaitsecs = 600

; When resorting to send SIGKILL to the program to terminate it
; send SIGKILL to its whole process group instead,
; taking care of its children as well.
killasgroup=true

; if rabbitmq is supervised, set its priority higher
; so it starts first
priority=998

environment=$celeryenv"

# Create the celery supervisord conf script
echo "$celeryconf" | tee /opt/python/etc/celery.conf

# Add configuration script to supervisord conf (if not there already)
if ! grep -Fxq "[include]" /opt/python/etc/supervisord.conf
  then
  echo "[include]" | tee -a /opt/python/etc/supervisord.conf
  echo "files: celery.conf" | tee -a /opt/python/etc/supervisord.conf
fi

# Reread the supervisord config
supervisorctl -c /opt/python/etc/supervisord.conf reread

# Update supervisord in cache without restarting all services
supervisorctl -c /opt/python/etc/supervisord.conf update

# Start/Restart celeryd through supervisord
supervisorctl -c /opt/python/etc/supervisord.conf restart celeryd-beat
supervisorctl -c /opt/python/etc/supervisord.conf restart celeryd-worker

在部署期间注意脚本执行，但仅在主节点上执行（leader_only：正确）。添加文件 root_folder/.ebextensions/02-python.config:

container_commands:
  04_celery_tasks:
    command: "cat .ebextensions/files/celery_configuration.txt > /opt/elasticbeanstalk/hooks/appdeploy/post/run_supervised_celeryd.sh && chmod 744 /opt/elasticbeanstalk/hooks/appdeploy/post/run_supervised_celeryd.sh"
    leader_only: true
  05_celery_tasks_run:
    command: "/opt/elasticbeanstalk/hooks/appdeploy/post/run_supervised_celeryd.sh"
    leader_only: true

Beat 无需重新部署即可配置，具有单独的 django 应用程序：https://pypi.python.org/pypi/django_celery_beat。
存储任务结果是个好主意：https://pypi.python.org/pypi/django_celery_beat

文件requirements.txt

celery==4.0.0
django_celery_beat==1.0.1
django_celery_results==1.0.1
pycurl==7.43.0 --global-option="--with-nss"

为 Amazon SQS 代理配置 celery （从列表中获取所需的端点：http://docs.aws.amazon.com/general/latest/gr/rande.html） root_folder/django_app/settings.py:

...
CELERY_RESULT_BACKEND = 'django-db'
CELERY_BROKER_URL = 'sqs://%s:%s@' % (aws_access_key_id, aws_secret_access_key)
# Due to error on lib region N Virginia is used temporarily. please set it on Ireland "eu-west-1" after fix.
CELERY_BROKER_TRANSPORT_OPTIONS = {
    "region": "eu-west-1",
    'queue_name_prefix': 'django_app-%s-' % os.environ.get('APP_ENV', 'dev'),
    'visibility_timeout': 360,
    'polling_interval': 1
}
...

django 的芹菜配置 django_app app

添加文件root_folder/django_app/celery.py:

from __future__ import absolute_import, unicode_literals
import os
from celery import Celery

# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'django_app.settings')

app = Celery('django_app')

# Using a string here means the worker don't have to serialize
# the configuration object to child processes.
# - namespace='CELERY' means all celery-related configuration keys
#   should have a `CELERY_` prefix.
app.config_from_object('django.conf:settings', namespace='CELERY')

# Load task modules from all registered Django app configs.
app.autodiscover_tasks()

修改文件root_folder/django_app/__init__.py:

from __future__ import absolute_import, unicode_literals

# This will make sure the app is always imported when
# Django starts so that shared_task will use this app.
from django_app.celery import app as celery_app

__all__ = ['celery_app']

同时检查：

How do you run a worker with AWS Elastic Beanstalk?（没有可扩展性的解决方案）
（解决来自 elastic beanstalk 上过时的 pip 的问题，无法处理正确解决 pycurl 依赖的全局选项）

Answer 2

这就是我如何扩展@smentek 的答案以允许多个工作实例和一个节拍实例 - 同样的事情适用于你必须保护你的领导者的地方。（我还没有一个自动化的解决方案）。

请注意，在应用服务器重启之前，celery beat 或 workers 不会反映通过 EB cli 或 Web 界面对 EB 进行的 envvar 更新。这一次让我措手不及。

单个celery_configuration.sh文件为supervisord输出两个脚本，注意celery-beat有autostart=false，否则实例重启后你会得到很多节拍：

# get django environment variables
celeryenv=`cat /opt/python/current/env | tr '\n' ',' | sed 's/export //g' | sed 's/$PATH/%(ENV_PATH)s/g' | sed 's/$PYTHONPATH//g' | sed 's/$LD_LIBRARY_PATH//g' | sed 's/%/%%/g'`
celeryenv=${celeryenv%?}

# create celery beat config script
celerybeatconf="[program:celeryd-beat]
; Set full path to celery program if using virtualenv
command=/opt/python/run/venv/bin/celery beat -A lexvoco --loglevel=INFO --workdir=/tmp -S django --pidfile /tmp/celerybeat.pid

directory=/opt/python/current/app
user=nobody
numprocs=1
stdout_logfile=/var/log/celery-beat.log
stderr_logfile=/var/log/celery-beat.log
autostart=false
autorestart=true
startsecs=10

; Need to wait for currently executing tasks to finish at shutdown.
; Increase this if you have very long running tasks.
stopwaitsecs = 10

; When resorting to send SIGKILL to the program to terminate it
; send SIGKILL to its whole process group instead,
; taking care of its children as well.
killasgroup=true

; if rabbitmq is supervised, set its priority higher
; so it starts first
priority=998

environment=$celeryenv"

# create celery worker config script
celeryworkerconf="[program:celeryd-worker]
; Set full path to celery program if using virtualenv
command=/opt/python/run/venv/bin/celery worker -A lexvoco --loglevel=INFO

directory=/opt/python/current/app
user=nobody
numprocs=1
stdout_logfile=/var/log/celery-worker.log
stderr_logfile=/var/log/celery-worker.log
autostart=true
autorestart=true
startsecs=10

; Need to wait for currently executing tasks to finish at shutdown.
; Increase this if you have very long running tasks.
stopwaitsecs = 600

; When resorting to send SIGKILL to the program to terminate it
; send SIGKILL to its whole process group instead,
; taking care of its children as well.
killasgroup=true

; if rabbitmq is supervised, set its priority higher
; so it starts first
priority=999

environment=$celeryenv"

# create files for the scripts
echo "$celerybeatconf" | tee /opt/python/etc/celerybeat.conf
echo "$celeryworkerconf" | tee /opt/python/etc/celeryworker.conf

# add configuration script to supervisord conf (if not there already)
if ! grep -Fxq "[include]" /opt/python/etc/supervisord.conf
  then
  echo "[include]" | tee -a /opt/python/etc/supervisord.conf
  echo "files: celerybeat.conf celeryworker.conf" | tee -a /opt/python/etc/supervisord.conf
fi

# reread the supervisord config
/usr/local/bin/supervisorctl -c /opt/python/etc/supervisord.conf reread
# update supervisord in cache without restarting all services
/usr/local/bin/supervisorctl -c /opt/python/etc/supervisord.conf update

然后在 container_commands 中我们只重启 beat on leader:

container_commands:
  # create the celery configuration file
  01_create_celery_beat_configuration_file:
    command: "cat .ebextensions/files/celery_configuration.sh > /opt/elasticbeanstalk/hooks/appdeploy/post/run_supervised_celeryd.sh && chmod 744 /opt/elasticbeanstalk/hooks/appdeploy/post/run_supervised_celeryd.sh && sed -i 's/\r$//' /opt/elasticbeanstalk/hooks/appdeploy/post/run_supervised_celeryd.sh"
  # restart celery beat if leader
  02_start_celery_beat:
    command: "/usr/local/bin/supervisorctl -c /opt/python/etc/supervisord.conf restart celeryd-beat"
    leader_only: true
  # restart celery worker
  03_start_celery_worker:
    command: "/usr/local/bin/supervisorctl -c /opt/python/etc/supervisord.conf restart celeryd-worker"

Answer 3

如果有人按照 smentek 的回答进行操作并收到错误：

05_celery_tasks_run: /usr/bin/env bash does not exist.

知道，如果您使用的是 Windows，您的问题可能是 "celery_configuration.txt" 文件在本应具有 UNIX EOL 时却具有 WINDOWS EOL。如果使用 Notepad++，请打开文件并单击 "Edit > EOL Conversion > Unix (LF)"。保存，重新部署，错误不再存在。

此外，对于像我这样的业余爱好者的一些警告：

请务必在 settings.py 文件中的 "INSTALLED_APPS" 中包含 "django_celery_beat" 和 "django_celery_results"。
要检查芹菜错误，请使用 "eb ssh" 连接到您的实例，然后使用 "tail -n 40 /var/log/celery-worker.log" 和 "tail -n 40 /var/log/celery-beat.log" （其中“40”指的是您的行数想从文件中读取，从末尾开始）。

希望这对某人有所帮助，它可以节省我几个小时！

如何运行使用 AWS Elastic Beanstalk 可扩展的 Django 应用程序的 celery worker？

How to run a celery worker with Django app scalable by AWS Elastic Beanstalk?

django

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django

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如何运行使用 AWS Elastic Beanstalk 可扩展的 Django 应用程序的 celery worker？