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airflow_ssh_operator_hook_remote_command_execution_dag.py

python

This example DAG demonstrates how to use the SSHOperator to

15d ago35 linesairflow.apache.org
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airflow_ssh_operator_hook_remote_command_execution_dag.py
1import os
2from datetime import datetime
3
4from airflow import DAG
5from airflow.providers.ssh.operators.ssh import SSHOperator
6from airflow.providers.ssh.hooks.ssh import SSHHook
7
8# This example uses an SSHHook to define connection details programmatically, 
9# though typically you would define these in the Airflow UI/CLI.
10ssh_hook = SSHHook(ssh_conn_id='ssh_default')
11
12with DAG(
13    dag_id='example_ssh_operator',
14    start_date=datetime(2023, 1, 1),
15    schedule_interval=None,
16    catchup=False,
17    tags=['example'],
18) as dag:
19
20    # Execute a simple command on a remote host
21    run_remote_ls = SSHOperator(
22        task_id='run_remote_ls',
23        ssh_hook=ssh_hook,
24        command='ls -l /tmp',
25    )
26
27    # Execute a more complex command with environment variables
28    run_remote_echo = SSHOperator(
29        task_id='run_remote_echo',
30        ssh_conn_id='ssh_default',
31        command='echo "Hello from $REMOTE_HOST"',
32        environment={'REMOTE_HOST': 'Remote Server'},
33    )
34
35    run_remote_ls >> run_remote_echo