kubernetes_executor

This is an example dag for using the Kubernetes Executor.

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.
"""
This is an example dag for using the Kubernetes Executor.
"""
import os
from airflow import DAG
from airflow.example_dags.libs.helper import print_stuff
from airflow.operators.python import PythonOperator
from airflow.utils.dates import days_ago
args = {
'owner': 'airflow',
}
with DAG(
dag_id='example_kubernetes_executor',
default_args=args,
schedule_interval=None,
start_date=days_ago(2),
tags=['example', 'example2'],
) as dag:
affinity = {
'podAntiAffinity': {
'requiredDuringSchedulingIgnoredDuringExecution': [
{
'topologyKey': 'kubernetes.io/hostname',
'labelSelector': {
'matchExpressions': [{'key': 'app', 'operator': 'In', 'values': ['airflow']}]
},
}
]
}
}
tolerations = [{'key': 'dedicated', 'operator': 'Equal', 'value': 'airflow'}]
def assert_zip_binary():
"""
Checks whether Zip is installed.
:raises SystemError: if zip is not installed
"""
return_code = os.system("zip")
if return_code != 0:
raise SystemError("The zip binary is not found")
# You don't have to use any special KubernetesExecutor configuration if you don't want to
start_task = PythonOperator(task_id="start_task", python_callable=print_stuff)
# But you can if you want to
one_task = PythonOperator(
task_id="one_task",
python_callable=print_stuff,
executor_config={"KubernetesExecutor": {"image": "airflow/ci:latest"}},
)
# Use the zip binary, which is only found in this special docker image
two_task = PythonOperator(
task_id="two_task",
python_callable=assert_zip_binary,
executor_config={"KubernetesExecutor": {"image": "airflow/ci_zip:latest"}},
)
# Limit resources on this operator/task with node affinity & tolerations
three_task = PythonOperator(
task_id="three_task",
python_callable=print_stuff,
executor_config={
"KubernetesExecutor": {
"request_memory": "128Mi",
"limit_memory": "128Mi",
"tolerations": tolerations,
"affinity": affinity,
}
},
)
# Add arbitrary labels to worker pods
four_task = PythonOperator(
task_id="four_task",
python_callable=print_stuff,
executor_config={"KubernetesExecutor": {"labels": {"foo": "bar"}}},
)
start_task >> [one_task, two_task, three_task, four_task]