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運行 airflow initdb 引發錯誤“postgres”以解決:使用 airflow 元數據庫的 postgres 的名稱或服務未知

[英]Running airflow initdb raises error `"postgres" to address: Name or service not known` using postgres for airflow meta database

版本:

地形==.12

泊塢窗==19.03.8

蟒蛇==3.8

postgreSQL==9.6

阿帕奇氣流==1.10.10

描述:

目標是為 apache airflow 本地開發創建一個容器。 我使用 Postgres 數據庫作為后端來存儲 airflow 的元數據,因為它需要使用 Airflow LocalExecutor。 最后,我使用 Terraform 創建 Airflow 和 Postgres 容器。

問題:

該錯誤在dev_airflow容器的 entrypoint.sh 中引發。 特別airflow initdb引發了與 sql_alchemy_conn 字符串相關的錯誤。 sql_alchemy_conn 字符串在運行airflow initdb之前作為環境變量導出。 sql_alchemy_conn 的值是有效的並且代表一個實時的 postgres 數據庫。

我試過這些 sql_alchemy_conn 字符串:

sql_alchemy_conn="postgresql://postgres_user:password@postgres:5432/postgres_db"
sql_alchemy_conn="postgresql+psycopg2://postgres_user:password@postgres:5432/postgres_db"

這導致了錯誤:

sqlalchemy.exc.OperationalError: (psycopg2.OperationalError) could not translate host name "postgres" to address: Name or service not known

我試過這些 sql_alchemy_conn 字符串:

sql_alchemy_conn="postgresql://postgres_user:password@localhost:5432/postgres_db"
sql_alchemy_conn="postgresql+psycopg2://postgres_user:password@localhost:5432/postgres_db"

這導致了錯誤:

sqlalchemy.exc.OperationalError: (psycopg2.OperationalError) could not connect to server: Connection refused
        Is the server running on host "localhost" (127.0.0.1) and accepting
        TCP/IP connections on port 5432?
could not connect to server: Cannot assign requested address
        Is the server running on host "localhost" (::1) and accepting
        TCP/IP connections on port 5432?

Terraform main.tf 用來組成docker個容器:

provider "docker"{}

resource "docker_image" "postgres" {
  name     = "postgres:9.6"
}

resource "docker_container" "postgres" {
  image = docker_image.postgres.name
  name  = "postgres"

  env = [
    format("POSTGRES_USER=%s", var.postgres_user),
    format("POSTGRES_PASSWORD=%s", var.postgres_password),
    format("POSTGRES_DB=%s", var.postgres_db),
  ]

  ports {
    internal = var.postgres_port
  }
}

resource "docker_image" "local_airflow" {
  name         = "local_airflow:latest"
  keep_locally = false
}

resource "docker_container" "airflow" {
  image = docker_image.local_airflow.name
  name  = "dev_airflow"
  ports {
    internal = 8080
    external = 8080
  }

  env = [
    format("AIRFLOW__CORE__EXECUTOR=%s", lookup(var.executor, var.environment)), 
    format("AIRFLOW__CORE__LOAD_EXAMPLES=%s", var.load_examples),
    format("AIRFLOW__CORE__SQL_ALCHEMY_CONN=%s", var.sql_alchemy_conn)
  ]

  volumes {
      host_path = "/airflow/dags"
      container_path = "/usr/local/airflow/dags"
  }
  volumes {
    host_path = "/airflow/plugins"
    container_path = "/usr/local/airflow/plugins"
  }
  depends_on = [docker_container.postgres]

  command = ["webserver"]

  entrypoint = ["/entrypoint.sh"]

  healthcheck {
    test = ["CMD-SHELL", "[ -f /usr/local/airflow/airflow-webserver.pid ]"]
    interval = "30s"
    timeout = "30s"
    retries = 3
  }

  restart = "always"
}

也許這個資源部署在默認的 bridge.network 上。

嘗試創建一個 custom.network

https://registry.terraform.io/providers/kreuzwerker/docker/latest/docs/resources.network

然后,使用這個 output,運行這個容器 in.network https://registry.terraform.io/providers/kreuzwerker/docker/latest/docs/resources/container .networks_advanced -(可選,塊)參見下面的網絡高級. 如果此塊優先於 deprecated.network_alias 和 .network 屬性。

這與您使用 docker CLI 的方式相同。

docker network create foo
docker run --rm --network=foo bar

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