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https://issues.apache.org/jira/browse/BEAM-14449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ning updated BEAM-14449:
------------------------
    Fix Version/s: 2.40.0
       Resolution: Fixed
           Status: Resolved  (was: Open)

> Support cluster provisioning when using Flink on Dataproc
> ---------------------------------------------------------
>
>                 Key: BEAM-14449
>                 URL: https://issues.apache.org/jira/browse/BEAM-14449
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-py-interactive
>            Reporter: Ning
>            Assignee: Ning
>            Priority: P2
>             Fix For: 2.40.0
>
>         Attachments: image-2022-05-16-11-25-32-904.png, 
> image-2022-05-16-11-28-12-702.png
>
>          Time Spent: 2h 20m
>  Remaining Estimate: 0h
>
> Provide the capability for the user to explicitly provision a cluster.
> Current implementation provisions each cluster at the location specified by 
> GoogleCloudOptions using 3 worker nodes. There is no explicit API to 
> configure the number or shape of workers.
> We could use the WorkerOptions to allow customers to explicitly provision a 
> cluster and expose an explicit API (with UX in notebook extension) for 
> customers to change the size of a cluster connected with their notebook 
> (until we have an auto scaling solution with Dataproc for Flink).
> The API looks like this when configuring the workers for a dataproc cluster 
> when creating it:
> !image-2022-05-16-11-25-32-904.png!
> An example request setting the masterConfig and workerConfig:
> !image-2022-05-16-11-28-12-702.png!



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