Re: State of the Rescale API

2022-10-13 Thread Maximilian Michels
Thank you everyone for the clarification. It looks like the Rescale API will require some more work before it can be fully taken advantage of. I'm wondering whether in addition to the Rescale API we want to provide a means to do a rescale without an explicit API call but as part of the job submissi

Re: State of the Rescale API

2022-10-11 Thread Jiangang Liu
Thanks for the attention to the rescale api. Dynamic resource adjust is useful for streaming jobs since the throughput can change in different time. The rescale api is a lightweight way to change the job's parallelism. This is importance for some jobs, for example, the jobs are in activities or rel

Re: State of the Rescale API

2022-10-11 Thread Chesnay Schepler
The AdaptiveScheduler is not limited to reactive mode. There are no deployment limitations for the scheduler itself. In a nutshell, all that reactive mode does is crank the target parallelism to infinity, when usually it is the parallelism the user has set in the job/configuration. I think it

Re: State of the Rescale API

2022-10-10 Thread Maximilian Michels
Hey Gyula, Is the Adaptive Scheduler limited to the Reactive mode? I agree that if we move forward with the Adaptive Scheduler solution it should support all deployment scenarios. Thanks, -Max On Sun, Oct 9, 2022 at 6:10 AM Gyula Fóra wrote: > Hi! > > I think we have to make sure that the Resc

Re: State of the Rescale API

2022-10-08 Thread Gyula Fóra
Hi! I think we have to make sure that the Rescale API will work also without the adaptive scheduler (for instance when we are running Flink with the Kubernetes Native Integration or in other cases where the adaptive scheduler is not supported). What do you think? Cheers Gyula On Fri, Oct 7, 2