Hi Gyula,
Thanks for getting back and explaining the difference in the
responsibilities of the autoscaler and the operator.
I figured out what the issue was.
Here is what I was trying to do: the autoscaler had initially down-scaled
(2->1) the flinkDeployment so there was
pipeline.jobvertex-parall
Hi Chetas,
The operator logic itself would normally call the rescale api during the
upgrade process, not the autoscaler module. The autoscaler module sets the
correct config with the parallelism overrides, and then the operator
performs the regular upgrade cycle (as when you yourself change someth
Hello,
We recently upgraded the operator to 1.8.0 to leverage the new autoscaling
features (
https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-release-1.8/docs/custom-resource/autoscaler/).
The FlinkDeployment (application cluster) is set to flink v1_18 as well. I
am able to observ
