subkanthi opened a new pull request #21077:
URL: https://github.com/apache/airflow/pull/21077
Decorator to execute functions in k8s using KubernetesPodOperator
closes: #19135
```
@task.kubernetes(image='python:3.8-slim-buster', name='k8s_test',
namespace='default')
def k8s_decorator_func():
print("decorator func")
```
If no parameters passed, defaults are set in kubernetes.py
```
# Image, name and namespace are all required.
if not 'image' in kwargs:
kwargs['image'] = 'python:3.8-slim-buster'
if not 'name' in kwargs:
kwargs['name'] = f'k8s_airflow_pod_{uuid.uuid4().hex}'
if not 'namespace' in kwargs:
kwargs['namespace'] = 'default'
```
This version sets the function as an environment variable -
__PYTHON_SCRIPT__ and in the command , the logic is to retrieve the environment
variable and write to '/tmp/script.py' to execute the function(very similar to
Docker)
1) Initially proceeded with trying to mount a local file using the hostPath,
the problem is that requires Airflow also to run in the same node. For example
running airflow locally and connecting to the kind cluster would need a mount.
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