Hi everyone! 1. Is there a way to increase the parallelism (e.g. through REST) of some operators in a job without re-deploying the job? I found this <https://stackoverflow.com/questions/50719147/apache-flink-guideliness-for-setting-parallelism> answer which mentions scaling at runtime on Yarn/Mesos. Is it possible? How? Support for Kubernetes? 2. What happens when the number of parallel operator instances exceeds the number of task slots? For example: a job with a source (parallelism 3), a map (parallelism 8), a sink (parallelism 3), total of *14* operator instances and a setup with *8* task slots. Will the operators get chained? What if I disable operator chaining?
Thank you!