Postgresql 在Microsoft Server 2016上使用Docker设置Apache Airflow
我正在尝试使用Docker EE设置气流,每当我运行Docker compose up airflow init命令时,都会出现以下错误Postgresql 在Microsoft Server 2016上使用Docker设置Apache Airflow,postgresql,docker-compose,airflow,windows-server-2016,Postgresql,Docker Compose,Airflow,Windows Server 2016,我正在尝试使用Docker EE设置气流,每当我运行Docker compose up airflow init命令时,都会出现以下错误 PS C:\Program Files\Docker> docker-compose up airflow-init Building with native build. Learn about native build in Compose here: https://docs.docker.com/go/compose-native-bui
PS C:\Program Files\Docker> docker-compose up airflow-init
Building with native build. Learn about native build in Compose here: https://docs.docker.com/go/compose-native-build/
Pulling postgres (postgres:)...
latest: Pulling from library/postgres
ERROR: no matching manifest for windows/amd64 10.0.14393 in the manifest list entries
我意识到这是因为图像不兼容,我需要找到a-sac2016扩展,但我无法为postgres找到一个。以下是我的docker-compose.yaml代码:
version: '3'
x-airflow-common:
&airflow-common
image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.0.1}
environment:
&airflow-common-env
AIRFLOW__CORE__EXECUTOR: CeleryExecutor
AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow
AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0
AIRFLOW__CORE__FERNET_KEY: ''
AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
AIRFLOW__CORE__LOAD_EXAMPLES: 'true'
volumes:
- ./dags:/opt/airflow/dags
- ./logs:/opt/airflow/logs
- ./plugins:/opt/airflow/plugins
user: "${AIRFLOW_UID:-50000}:${AIRFLOW_GID:-50000}"
depends_on:
redis:
condition: service_healthy
postgres:
condition: service_healthy
services:
postgres:
image: postgres
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
redis:
image: redis:latest
ports:
- 6379:6379
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 30s
retries: 50
restart: always
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
airflow-scheduler:
<<: *airflow-common
command: scheduler
restart: always
airflow-worker:
<<: *airflow-common
command: celery worker
restart: always
airflow-init:
<<: *airflow-common
command: version
environment:
<<: *airflow-common-env
_AIRFLOW_DB_UPGRADE: 'true'
_AIRFLOW_WWW_USER_CREATE: 'true'
_AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
_AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
flower:
<<: *airflow-common
command: celery flower
ports:
- 5555:5555
healthcheck:
test: ["CMD", "curl", "--fail", "http://localhost:5555/"]
interval: 10s
timeout: 10s
retries: 5
restart: always
volumes:
postgres-db-volume:
版本:“3”
x-通用:
&普通气流
图像:${AIRFLOW\u图像\u名称:-apache/AIRFLOW:2.0.1}
环境:
&气流共同环境
气流执行器:芹菜执行器
气流核心炼金术控制:postgresql+psycopg2://气流:airflow@postgres/气流
气流\芹菜\结果\后端:db+postgresql://airflow:airflow@研究生/研究生
气流芹菜经纪人URL:redis://:@redis:6379/0
气流\uuuuu芯\uuuuuu FERNET\u键:“”
气流\uuuuu核心\uuuuu DAG \uu在\u创建时暂停\uu:'真'
气流\uuuuu核心\uuuuu负载\u示例:“正确”
卷数:
-/DAG:/opt/afflow/DAG
-/日志:/opt/气流/日志
-/插件:/opt/气流/插件
用户:${AIRFLOW\u UID:-50000}:${AIRFLOW\u GID:-50000}
取决于:
redis:
状况:服务健康
博士后:
状况:服务健康
服务:
博士后:
图片:博士后
环境:
POSTGRES_用户:气流
POSTGRES_密码:0
POSTGRES_DB:气流
卷数:
-postgres db卷:/var/lib/postgresql/data
健康检查:
测试:[“CMD”、“pg_isready”、“-U”、“气流”]
间隔:5秒
重试次数:5次
重新启动:始终
redis:
图片:redis:最新版本
端口:
- 6379:6379
健康检查:
测试:[“CMD”、“redis cli”、“ping”]
间隔:5秒
超时时间:30秒
重试次数:50次
重新启动:始终
网络服务器: