Deploying Flink on Kubernetes with fractional CPU and different limits and requests

[Denis Cosmin NUTIU]

Hello,

I've developed a Flink job and I'm trying to deploy it on a Kubernetes
cluster using Flink Native.

Setting kubernetes.taskmanager.cpu=0.5 and
kubernetes.jobmanager.cpu=0.5 sets the requests and limits to 500m,
which is correct, but I'd like to set the requests and limits to
different values, something like:

resources:
  requests:
    memory: "1048Mi"
    cpu: "100m"
  limits:
    memory: "2096Mi"
    cpu: "1000m"

I've tried using pod templates from Flink 1.13 and manually patching
the Kubernetes deployment file, the jobmanager gets spawned with the
correct reousrce requests and limits but the taskmanagers get spawned
with the defaults:   

Limits:
      cpu:     1
      memory:  1728Mi
    Requests:
      cpu:     1
      memory:  1728Mi

Is there any way I could set the requests/limits for the CPU/Memory to
different values when deploying Flink in Kubernetes? If not, would it
make sense to request this as a feature?

Thanks in advance! 

Denis