eladkal commented on code in PR #27197:
URL: https://github.com/apache/airflow/pull/27197#discussion_r1002646168


##########
airflow/providers/cncf/kubernetes/operators/kubernetes_pod.py:
##########
@@ -287,6 +275,12 @@ def __init__(
         self.pod_request_obj: k8s.V1Pod | None = None
         self.pod: k8s.V1Pod | None = None
 
+        if "resources" in kwargs:

Review Comment:
   BaseOperator resources is used to customized cpu/memory for a task.
   Think about a case where you execute PythonOperator but you want to limit it 
to specific memory limit of the worker.
   In KPO there is no effect (to my understanding) of using BaseOperator 
resources since the resource allocation is against the Kubernetes cluster.
   
   BaseOperator resources is dict which is creating a 
[Resource](https://github.com/apache/airflow/blob/fd859d138ce9558e19d73cd0cbbe9ef3d7993b64/airflow/utils/operator_resources.py#L31)
 object
   
   To answer your question:
   `if isinstance(resources, k8s.V1ResourceRequirements):`
   
   Is not case i'm worried about. If user will provide `V1ResourceRequirements` 
for `resources` - his code will not work since `resources` expecting dict
   
https://github.com/apache/airflow/blob/fd859d138ce9558e19d73cd0cbbe9ef3d7993b64/airflow/models/baseoperator.py#L733
   
   The issue I'm trying to protect against is when user is passing K8s resource 
allocation as dict via the `resource` parameter.  This is something the user 
could have done until now because we backport and convert the dict to 
V1ResourceRequirements but from now on it will not work.
   The issue is that if user didn't notice the change log and continue to pass 
resources with K8s parameters like in 
https://stackoverflow.com/questions/73959192/airflow-kubernetespodoperator-broken-dag-unexpected-keyword-argument-reque
 
   
   WDYT?



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