docker_swarm

Containers


Providers:

Run this DAG

1. Install Astronomer CLISkip if you already have the CLI

2. Initate the project:

3. Copy and paste the code below into a file in the

dags
directory.

4. Add the following to your requirements.txt file:

5. Run the DAG:

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from datetime import timedelta
from airflow import DAG
from airflow.providers.docker.operators.docker_swarm import DockerSwarmOperator
from airflow.utils.dates import days_ago
default_args = {
'owner': 'airflow',
'depends_on_past': False,
'email': ['airflow@example.com'],
'email_on_failure': False,
'email_on_retry': False,
}
dag = DAG(
'docker_swarm_sample',
default_args=default_args,
schedule_interval=timedelta(minutes=10),
start_date=days_ago(1),
catchup=False,
)
with dag as dag:
t1 = DockerSwarmOperator(
api_version='auto',
docker_url='tcp://localhost:2375', # Set your docker URL
command='/bin/sleep 10',
image='centos:latest',
auto_remove=True,
task_id='sleep_with_swarm',
)