Port over executor_config for various executors using task sdk

[amoghrajesh]

Body

We can today specify the executor_config while running a task in KubernetesExecutor, SequentialExecutor, AWSExecutor, EdgeExecutor atleast. Example: https://github.com/apache/airflow/blob/main/airflow/example_dags/example_kubernetes_executor.py#L102-L139

This task will track that effort, feel free to break it into 1 task per executor too.

Committer

• I acknowledge that I am a maintainer/committer of the Apache Airflow project.

[amoghrajesh]

cc: @ashb @jscheffl @o-nikolas

[o-nikolas]

Thanks @amoghrajesh! Can you add a bit more to the body of the Issue describing what is missing and what needs to be done? It's not clear to me what the blocker is, or what needs to be implemented.

[amoghrajesh]

There's absolutely no blocker here! I will add some more details tomorrow. And if i get to K8s executor, we will have an example too

[o-nikolas]

Got it thanks! Just missing implementation in the task API interface then I'm assuming? Looking forward to seeing the changes :)