Hi Sumeet,
It still has not provided special support to handle the dependencies for
the Application mode in PyFlink. This means that the dependencies could be
handled the same as the other deployment modes. However, it is indeed
correct that the dependencies could be handled differently in
Hi Sumeet，
Actually, running pyflink jobs in application mode on kubernetes has been
supported since release 1.13.
To build a docker image with PyFlink installed, please refer to Enabling
Python[1]. In order to run the python code in application mode, you also
need to COPY the code files into
Hi,
I'm currently submitting my Python user code from my local machine to a
Flink cluster running in Session mode on Kubernetes. For this, I have a
custom Flink image with Python as per this reference [1].
Now, I'd like to move to using the Application mode with Native Kubernetes,
where the user
