Hi, I'm not sure that I fully understand your question. Is the intention to prioritize some jobs over the others in the same Flink cluster? Currently, it is not possible (FLIP-156 and further work aim to address this [1]). At the moment, you can either - deploy the jobs in separate clusters (per-job mode [2]) and rely on the underlying resource manager for resource isolation - or allocate less task slots to a lower priority job by configuring: parallelism, operator chaining and slot sharing groups
[1] https://cwiki.apache.org/confluence/display/FLINK/FLIP-156%3A+Runtime+Interfaces+for+Fine-Grained+Resource+Requirements [2] https://ci.apache.org/projects/flink/flink-docs-stable/deployment/#per-job-mode Regards, Roman On Mon, Apr 12, 2021 at 9:07 AM 张颖 <queyue...@163.com> wrote: > > When I run a sql job with blink planner in my cluster,the task is almost > preemption the whole resources in the cluster, and this is a bad effect to > the stream task.As it is not necessary on speed,so is there any way to > control the rate in my batch task? > > > > this is the machine performance in running some operator: > https://issues.apache.org/jira/browse/FLINK-22204 > > > >
