部署节点
cdhnode1：webserver scheduler worker
cdhnode2：worker flower
cdhnode3：worker
访问地址
Airflow：xxx
Flower：xxx
同步物料
1.python3安装包：/opt/Python-3.7.15.tgz
2.pip3安装脚本：/opt/pip3
3.openssl安装包：/opt/openssl-1.0.2r.tar.gz
4.sqlite3安装包：/opt/sqlite-autoconf-3290000.tar.gz
安装步骤
1.基础环境准备
1.1 安装软件包依赖
yum -y install mysql-devel gcc gcc-devel python-devel gcc-c++ cyrus-sasl cyrus-sasl-devel cyrus-sasl-lib libffi-devel sqlite-devel
1.2 openssl安装
tar zxvf openssl-1.0.2r.tar.gz
./config --prefix=/opt/openssl1.0.2r --openssldir=/opt/openssl1.0.2r/openssl no-zlib
make && make install
echo "/opt/openssl1.0.2r/lib" >> /etc/ld.so.conf
1.3 安装python3.7.15环境
tar -zxvf Python-3.7.15.tgz
./configure
vim Modules/Setup #配置python3支持openssl
*SSL=/opt/openssl1.0.2r*
*_ssl _ssl.c \*
* -DUSE_SSL -I$(SSL)/include -I$(SSL)/include/openssl \*
* -L$(SSL)/lib -lssl -lcrypto*
make && make install
1.4 设置环境变量
vim /etc/profile
export PYTHON_HOME=/opt/Python-3.7.15
export PATH=$PYTHON_HOME/bin:$PATH
1.5 将python3.7.15设置成默认python版本
mv /usr/bin/python /usr/bin/python.bak
ln -s /usr/local/bin/python3.7 /usr/bin/python
1.6 安装pip3，并设置成默认pip版本
sudo python /opt/pip3/python3.7/get-pip.py
mv /usr/bin/pip /usr/bin/pip.bak
ln -s /usr/local/bin/pip3.7 /usr/bin/pip
1.7 sqlite3安装，替换系统默认低版本
tar -zxvf sqlite-autoconf-3290000.tar.gz
./configure --prefix=/usr/local
make && make install
mv /usr/bin/sqlite3 /usr/bin/sqlite3_old
ln -s /usr/local/bin/sqlite3 /usr/bin/sqlite3
echo "/usr/local/lib" > /etc/ld.so.conf.d/sqlite3.conf
ldconfig
2. pip依赖包安装
2.1 环境变量设置
export SLUGIFY_USES_TEXT_UNIDECODE=yes
vim /etc/profile
export AIRFLOW_HOME=/opt/airflow
2.2 pip安装
（1）airflow基础包
pip install apache-airflow[password]
pip install flask_bcrypt
pip install apache-airflow[mysql]
pip install apache-airflow[celery]
pip install pymysql
（2）安装分布式任务队列
pip install celery
（3）安装 python 的 redis 包，为启动 worker 作准备
pip install redis
pip install flower
（4）安装airflow后，单节点启动，在~/目录下生成airflow配置文件夹，默认启动使用sqlite3作为db启动，后续改成mysql
AIRFLOW_VERSION=2.4.1
PYTHON_VERSION="$(python --version | cut -d " " -f 2 | cut -d "." -f 1-2)"
CONSTRAINT_URL="https://raw.githubusercontent.com/apache/airflow/constraints-${AIRFLOW_VERSION}/constraints-${PYTHON_VERSION}.txt"
pip install "apache-airflow==${AIRFLOW_VERSION}" --constraint "${CONSTRAINT_URL}"
airflow standalone
airflow db init
airflow standalone
3.修改airflow.cfg配置文件，~/airflow/airflow.cfg
3.1 注释掉默认单线程队列，设置为分布式队列与配置redis
#executor = SequentialExecutor
executor = CeleryExecutor
broker_url = [redis://xxx](redis://xxx)
celery_result_backend = [redis://xxx](redis://xxx)
3.2 注释掉默认数据库配置，设置为Mysql配置
#sql_alchemy_conn = sqlite:////root/airflow/airflow.db
sql_alchemy_conn =mysql://airflow:xxx@xxx:3306/airflow?charset=utf8
3.3 修改[celery]队列配置
broker_url =redis://xxx:6379/x
result_backend = db+mysql://airflow:xxx@xxx:3306/airflow
3.4 Mysql创建airflow用户
CREATE DATABASE airflow;
CREATE USER 'airflow'@'%' IDENTIFIED BY 'xxx';
GRANT ALL PRIVILEGES ON airflow.* TO 'airflow'@'%' IDENTIFIED BY 'xxx';
select User, host from mysql.user;
flush privileges;
4.集群部署
将三台集群几点都安装上airflow环境并初始化，将cdhnode1的配置文件分发到各节点。
cdhnode1：
airflow webserver -p 8080 -D
airflow scheduler -D
airflow celery worker -D
cdhnode2：
airflow celery worker -D
cdhnode3：
airflow celery worker -D
5.查看集群各节点状态
ps aux |grep webserver
ps aux |grep scheduler
ps aux|grep "celery worker"
6.airflow命令
6.1 创建用户
airflow users create
--username admin
--firstname admin
--lastname admin
--role Admin
--email xx@xx.com
--password admin
6.2 删除用户
airflow users delete --username admin