【补充】助力工业物联网，工业大数据之AirFlow安装

yum -y install zlib zlib-devel bzip2 bzip2-devel ncurses ncurses-devel readline readline-devel openssl openssl-devel openssl-static xz lzma xz-devel  sqlite sqlite-devel gdbm gdbm-devel  tk tk-devel gcc
yum install mysql-devel -y
yum install libevent-devel -y

# 添加py用户
useradd py
# 设置密码 '123456'
passwd py
# 创建anaconda安装路径
mkdir /anaconda
# 赋予权限
chown -R py:py /anaconda

cd /anaconda
rz
chmod u+x Anaconda3-5.3.1-Linux-x86_64.sh
sh Anaconda3-5.3.1-Linux-x86_64.sh

Anaconda3 will now be installed into this location:
/root/anaconda3
  - Press ENTER to confirm the location
  - Press CTRL-C to abort the installation
  - Or specify a different location below
[/root/anaconda3] >>> /anaconda/anaconda3 

# 修改环境变量
vi /root/.bash_profile
# 添加下面这行
export PATH=/anaconda/anaconda3/bin:$PATH
# 刷新
source /root/.bash_profile
# 验证
python -V

mkdir ~/.pip
touch ~/.pip/pip.conf
echo '[global]' >> ~/.pip/pip.conf
echo 'trusted-host=mirrors.aliyun.com' >> ~/.pip/pip.conf
echo 'index-url=http://mirrors.aliyun.com/pypi/simple/' >> ~/.pip/pip.conf
# pip默认是10.x版本，更新pip版本
pip install PyHamcrest==1.9.0
pip install --upgrade pip
# 查看pip版本
pip -V

pip install --ignore-installed PyYAML
pip install apache-airflow[celery]
pip install apache-airflow[redis]
pip install apache-airflow[mysql]
pip install flower
pip install celery

airflow -h
ll /root/airflow

wget https://download.redis.io/releases/redis-4.0.9.tar.gz
tar zxvf redis-4.0.9.tar.gz -C /opt
cd /opt/redis-4.0.9
make

cp redis.conf src/
cd src
nohup /opt/redis-4.0.9/src/redis-server redis.conf > output.log 2>&1 &

ps -ef | grep redis

[core]
#18行:时区
default_timezone = Asia/Shanghai
#24行:运行模式
# SequentialExecutor是单进程顺序执行任务，默认执行器，通常只用于测试
# LocalExecutor是多进程本地执行任务使用的
# CeleryExecutor是分布式调度使用（可以单机），生产环境常用
# DaskExecutor则用于动态任务调度，常用于数据分析
executor = CeleryExecutor
#30行:修改元数据使用mysql数据库，默认使用sqlite
sql_alchemy_conn = mysql://airflow:airflow@localhost/airflow
[webserver]
#468行:web ui地址和端口
base_url = http://localhost:8085
#474行
default_ui_timezone = Asia/Shanghai
#480行
web_server_port = 8085
[celery]
#735行
broker_url = redis://localhost:6379/0
#736
celery_result_backend = redis://localhost:6379/0
#743
result_backend = db+mysql://airflow:airflow@localhost:3306/airflow

mysql -uroot -p
set global explicit_defaults_for_timestamp =1;
exit

airflow db init

airflow users create --lastname user --firstname admin --username admin --email jiangzonghai@itcast.cn --role Admin --password admin

# 以后台进程方式，启动服务
airflow webserver -D
airflow scheduler -D
airflow celery flower -D
airflow celery worker -D

# 统一杀掉airflow的相关服务进程命令
ps -ef|egrep 'scheduler|flower|worker|airflow-webserver'|grep -v grep|awk '{print $2}'|xargs kill -9
# 下一次启动之前
rm -f /root/airflow/airflow-*