airflow安裝docker版

1.安裝docker

https://my.oschina.net/ilovetao/blog/3034502

2.docker安裝airflow參考：

https://github.com/puckel/docker-airflow

SequentialExecutor 執行：

docker run -d -p 8080:8080 puckel/docker-airflow webserver

LocalExecutor 執行：

docker-compose -f docker-compose-LocalExecutor.yml up -d

CeleryExecutor 執行：

docker-compose -f docker-compose-CeleryExecutor.yml up -d

airflow.cfg文件配置：

docker方式是按照環境變量方式代替airflow.cfg

例如：
airflow.cfg配置爲：
sql_alchemy_conn
docker配置爲：
AIRFLOW__CORE__SQL_ALCHEMY_CONN

Airflow 依賴python包：

放在Dockerfile或者yml同級目錄下

$(pwd)/requirements.txt

若是仍然想用airflow.cfg怎麼辦？

我用的是CeleryExecutor 模式：

直接經過volumes共享目錄

修改docker-compose-CeleryExecutor.yml

增長：

Dags目錄也是同樣的。

 

最後，這個是個人最後修改的：

文件：

docker-compose.yml

version: '2.1'
services:
    redis:
        image: 'redis:3.2.7'
        # command: redis-server --requirepass redispass

    postgres:
        image: postgres:9.6
        environment:
            - POSTGRES_USER=airflow
            - POSTGRES_PASSWORD=airflow
            - POSTGRES_DB=airflow
        # Uncomment these lines to persist data on the local filesystem.
        #     - PGDATA=/var/lib/postgresql/data/pgdata
        # volumes:
        #     - ./pgdata:/var/lib/postgresql/data/pgdata

    webserver:
        image: puckel/docker-airflow:1.10.2
        restart: always
        depends_on:
            - postgres
            - redis
        environment:
            - LOAD_EX=n
            - FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho=
            - EXECUTOR=Celery
            #- REDIS_PASSWORD=redispass
        volumes:
            - ./dags:/usr/local/airflow/dags
            - ./requirements.txt:/requirements.txt
            - ./entrypoint.sh:/entrypoint.sh
            - ./airflow.cfg:/usr/local/airflow/airflow.cfg
            # Uncomment to include custom plugins
            # - ./plugins:/usr/local/airflow/plugins
        ports:
            - "8080:8080"
        command:
            - webserver
        healthcheck:
            test: ["CMD-SHELL", "[ -f /usr/local/airflow/airflow-webserver.pid ]"]
            interval: 30s
            timeout: 30s
            retries: 3

    flower:
        image: puckel/docker-airflow:1.10.2
        restart: always
        depends_on:
            - redis
        environment:
            - EXECUTOR=Celery
            #- REDIS_PASSWORD=redispass
        ports:
            - "5555:5555"
        command: flower

    scheduler:
        image: puckel/docker-airflow:1.10.2
        restart: always
        depends_on:
            - webserver
        volumes:
            - ./dags:/usr/local/airflow/dags
            - ./requirements.txt:/requirements.txt
            - ./entrypoint.sh:/entrypoint.sh
            - ./airflow.cfg:/usr/local/airflow/airflow.cfg
            # Uncomment to include custom plugins
            # - ./plugins:/usr/local/airflow/plugins
        environment:
            - LOAD_EX=n
            - FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho=
            - EXECUTOR=Celery
            #- REDIS_PASSWORD=redispass
        command: scheduler

    worker:
        image: puckel/docker-airflow:1.10.2
        restart: always
        depends_on:
            - scheduler
        volumes:
            - ./dags:/usr/local/airflow/dags
            - ./requirements.txt:/requirements.txt
            - ./entrypoint.sh:/entrypoint.sh
            - ./airflow.cfg:/usr/local/airflow/airflow.cfg
            # Uncomment to include custom plugins
            # - ./plugins:/usr/local/airflow/plugins
        environment:
            - FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho=
            - EXECUTOR=Celery
            #- REDIS_PASSWORD=redispass
        command: worker

entrypoint.sh

#!/usr/bin/env bash

TRY_LOOP="20"

: "${REDIS_HOST:="redis"}"
: "${REDIS_PORT:="6379"}"
: "${REDIS_PASSWORD:=""}"

: "${POSTGRES_HOST:="postgres"}"
: "${POSTGRES_PORT:="5432"}"
: "${POSTGRES_USER:="airflow"}"
: "${POSTGRES_PASSWORD:="airflow"}"
: "${POSTGRES_DB:="airflow"}"

# Defaults and back-compat
: "${AIRFLOW__CORE__FERNET_KEY:=${FERNET_KEY:=$(python -c "from cryptography.fernet import Fernet; FERNET_KEY = Fernet.generate_key().decode(); print(FERNET_KEY)")}}"
: "${AIRFLOW__CORE__EXECUTOR:=${EXECUTOR:-Sequential}Executor}"

export \
  AIRFLOW__CELERY__BROKER_URL \
  AIRFLOW__CELERY__RESULT_BACKEND \
  AIRFLOW__CORE__EXECUTOR \
  AIRFLOW__CORE__FERNET_KEY \
  AIRFLOW__CORE__LOAD_EXAMPLES \
  AIRFLOW__CORE__SQL_ALCHEMY_CONN \


# Load DAGs exemples (default: Yes)
if [[ -z "$AIRFLOW__CORE__LOAD_EXAMPLES" && "${LOAD_EX:=n}" == n ]]
then
  AIRFLOW__CORE__LOAD_EXAMPLES=False
fi

# Install custom python package if requirements.txt is present
if [ -e "/requirements.txt" ]; then
    $(which pip) install --user -r /requirements.txt
fi

if [ -n "$REDIS_PASSWORD" ]; then
    REDIS_PREFIX=:${REDIS_PASSWORD}@
else
    REDIS_PREFIX=
fi

wait_for_port() {
  local name="$1" host="$2" port="$3"
  local j=0
  while ! nc -z "$host" "$port" >/dev/null 2>&1 < /dev/null; do
    j=$((j+1))
    if [ $j -ge $TRY_LOOP ]; then
      echo >&2 "$(date) - $host:$port still not reachable, giving up"
      exit 1
    fi
    echo "$(date) - waiting for $name... $j/$TRY_LOOP"
    sleep 5
  done
}

if [ "$AIRFLOW__CORE__EXECUTOR" != "SequentialExecutor" ]; then
  AIRFLOW__CORE__SQL_ALCHEMY_CONN="mysql://airflow:123@10.6.107.66/airflowdb2"
  AIRFLOW__CELERY__RESULT_BACKEND="db+mysql://airflow:123@10.6.107.66/airflowdb2"
  wait_for_port "Postgres" "$POSTGRES_HOST" "$POSTGRES_PORT"
fi

if [ "$AIRFLOW__CORE__EXECUTOR" = "CeleryExecutor" ]; then
  AIRFLOW__CELERY__BROKER_URL="redis://$REDIS_PREFIX$REDIS_HOST:$REDIS_PORT/1"
  wait_for_port "Redis" "$REDIS_HOST" "$REDIS_PORT"
fi

case "$1" in
  webserver)
    airflow initdb
    if [ "$AIRFLOW__CORE__EXECUTOR" = "LocalExecutor" ]; then
      # With the "Local" executor it should all run in one container.
      airflow scheduler &
    fi
    exec airflow webserver
    ;;
  worker|scheduler)
    # To give the webserver time to run initdb.
    sleep 10
    exec airflow "$@"
    ;;
  flower)
    sleep 10
    exec airflow "$@"
    ;;
  version)
    exec airflow "$@"
    ;;
  *)
    # The command is something like bash, not an airflow subcommand. Just run it in the right environment.
    exec "$@"
    ;;
esac