6

我正在寻找编写 docker compose 文件以在生产类似环境中本地执行气流。

对于较旧的气流 v1.10.14，docker compose 工作正常。但是相同的 docker compose 不适用于最新的稳定版本，气流调度程序和 web 服务不断失败。错误消息看起来像无法创建审计表。

docker-compose.yaml：

 version: "2.1"
services:
  postgres:
    image: postgres:12
    environment:
      - POSTGRES_USER=airflow
      - POSTGRES_PASSWORD=airflow
      - POSTGRES_DB=airflow
    ports:
      - "5433:5432"

  scheduler:
    image: apache/airflow:1.10.14
    restart: always
    depends_on:
      - postgres
      - webserver
    env_file:
      - .env
    ports:
      - "8793:8793"
    volumes:
      - ./dags:/opt/airflow/dags
      - ./airflow-logs:/opt/airflow/logs
      - ./plugins:/opt/airflow/plugins
    command: scheduler
    healthcheck:
      test: ["CMD-SHELL", "[ -f /usr/local/airflow/airflow-webserver.pid ]"]
      interval: 30s
      timeout: 30s
      retries: 5

  webserver:
    image: apache/airflow:1.10.14
    hostname: webserver
    restart: always
    depends_on:
      - postgres
    env_file:
      - .env
    volumes:
      - ./dags:/opt/airflow/dags
      - ./scripts:/opt/airflow/scripts
      - ./airflow-logs:/opt/airflow/logs
      - ./plugins:/opt/airflow/plugins
    ports:
      - "8080:8080"
    entrypoint: ./scripts/airflow-entrypoint.sh
    healthcheck:
      test: ["CMD-SHELL", "[ -f /usr/local/airflow/airflow-webserver.pid ]"]
      interval: 30s
      timeout: 30s
      retries: 5

.env：

AIRFLOW__CORE__LOAD_DEFAULT_CONNECTIONS=False
AIRFLOW__CORE__SQL_ALCHEMY_CONN=postgres+psycopg2://airflow:airflow@postgres:5432/airflow
AIRFLOW__CORE__FERNET_KEY=81HqDtbqAywKSOumSha3BhWNOdQ26slT6K0YaZeZyPs=
AIRFLOW_CONN_METADATA_DB=postgres+psycopg2://airflow:airflow@postgres:5432/airflow
AIRFLOW_VAR__METADATA_DB_SCHEMA=airflow
AIRFLOW__SCHEDULER__SCHEDULER_HEARTBEAT_SEC=10

./scripts/airflow-entrypoint.sh：

#!/usr/bin/env bash
airflow upgradedb
airflow webserver
4

2 回答 2

6

有官方docker-compose.yml看这里

于 2021-01-26T17:06:39.403 回答
0

Airflow 2.0 版的官方 docker 镜像现已发布。这是2.0.0 docker 镜像列表

码头工人图像示例：

# example:
apache/airflow:2.0.0-python3.8

下面的 docker-compose 句柄

  • 气流数据库架构升级
  • 管理员用户创建

这是我使用的一个版本：

version: "3.7"

# Common sections extracted out
x-airflow-common:
  &airflow-common
  image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.0.0-python3.8}
  environment:
    &airflow-common-env
    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
    AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
    AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow
    AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0
    AIRFLOW__CORE__FERNET_KEY: ''
    AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
    # Change log level when needed
    AIRFLOW__LOGGING__LOGGING_LEVEL: 'INFO'
  volumes:
    - ./airflow/dags:/opt/airflow/dags
  depends_on:
    - postgres
    - redis
  networks:
      - default_net

volumes: 
  postgres-db-volume:

services:
  postgres:
    image: postgres:13
    environment:
      POSTGRES_USER: airflow
      POSTGRES_PASSWORD: airflow
      POSTGRES_DB: airflow
    volumes:
      - postgres-db-volume:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD", "pg_isready", "-U", "airflow"]
      interval: 5s
      retries: 5
    restart: always
    networks:
        - default_net

  redis:
    image: redis:6.0.10
    ports:
      - 6379:6379
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 5s
      timeout: 30s
      retries: 50
    restart: always
    networks:
        - default_net



  airflow-webserver:
    <<: *airflow-common
    command: webserver
    ports:
      - 8080:8080
    healthcheck:
      test: ["CMD", "curl", "--fail", "http://localhost:8080/health"]
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always
    environment:
      <<: *airflow-common-env
      # It is sufficient to run db upgrade and create admin user only from webserver service
      _AIRFLOW_WWW_USER_PASSWORD: 'yourAdminPass'
      _AIRFLOW_DB_UPGRADE: 'true'
      _AIRFLOW_WWW_USER_CREATE: 'true'


  airflow-scheduler:
    <<: *airflow-common
    command: scheduler
    restart: always

  airflow-worker:
    <<: *airflow-common
    command: celery worker
    restart: always
    
networks:
    default_net:
      attachable: true
于 2021-02-03T21:41:08.303 回答