airflow分布式部署(五)开机自启动
airflow是一个常驻任务,我们希望它在任务失败后可以自动重启,systemd可以帮助我们实现这个功能,首先需要配置如下文件
/etc/sysconfig/airflow
AIRFLOW_CONFIG=/root/airflow/airflow.cfg AIRFLOW_HOME=/root/airflow
HADOOP_USER_NAME=hdfs
/usr/lib/systemd/system/airflow-webserver.service
[Unit] Description=Airflow webserver daemon [Service] EnvironmentFile=/etc/sysconfig/airflow User=root Group=root Type=simple ExecStart=/root/miniconda3/envs/py36/bin/airflow webserver Restart=on-failure RestartSec=5s PrivateTmp=true [Install] WantedBy=multi-user.target
/usr/lib/systemd/system/airflow-flower.service
[Unit] Description=Airflow flower daemon [Service] EnvironmentFile=/etc/sysconfig/airflow User=root Group=root Type=simple ExecStart=/root/miniconda3/envs/py36/bin/airflow flower Restart=on-failure RestartSec=5s PrivateTmp=true
/usr/lib/systemd/system/airflow-scheduler.service
[Unit] Description=Airflow scheduler daemon After=network.target postgresql.service mysql.service redis.service rabbitmq-server.service Wants=redis.service [Service] EnvironmentFile=/etc/sysconfig/airflow User=root Group=root Type=simple ExecStart=/root/miniconda3/envs/py36/bin/airflow scheduler Restart=always RestartSec=5s [Install] WantedBy=multi-user.target
/usr/lib/systemd/system/airflow-worker.service
[Unit] Description=Airflow celery worker daemon After=network.target postgresql.service mysql.service redis.service rabbitmq-server.service Wants=mysql.service redis.service [Service] EnvironmentFile=/etc/sysconfig/airflow User=root Group=root Type=simple ExecStart=/root/miniconda3/envs/py36/bin/airflow worker Restart=on-failure RestartSec=10s [Install] WantedBy=multi-user.target
配置完,之后执行以下命令
#重载所有修改过的配置文件 sudo systemctl daemon-reload #查看启动耗时,关键是可以查看启动失败的原因 sudo systemd-analyze verify airflow-webserver.service #查看启动失败任务的启动日志 sudo journalctl -u airflow-webserver.service #查看服务状态 systemctl status airflow-scheduler.service #判断是否自动重启 sudo systemctl is-enabled airflow-worker.service sudo systemctl enable airflow-worker.service #重启任务 systemctl stop airflow-scheduler.service systemctl start airflow-scheduler.service
报错记录:
FileNotFoundError: [Errno 2] No such file or directory: 'gunicorn'
这是因为没有把python3的path加入到PATH中,解决思路找到python3的路径加入到PATH即可
备注:
又有报错FileNotFoundError: [Errno 2] No such file or directory: 'airflow': 'airflow'
反反复复始终未能解决,最终webserver/scheduler以systemctl方式启动,worker和flower以airflow worker -D的方式启动