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https://issues.apache.org/jira/browse/BEAM-14449?focusedWorklogId=773818&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-773818
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ASF GitHub Bot logged work on BEAM-14449:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 23/May/22 23:51
            Start Date: 23/May/22 23:51
    Worklog Time Spent: 10m 
      Work Description: KevinGG opened a new pull request, #17736:
URL: https://github.com/apache/beam/pull/17736

   - Added support of provisioning cluster for Flink on Dataproc.
   - Fixed the jackson Module provider not a subtype issue when
   running Beam pipelines on EMRs by adding the jaxb dependency
   to flink_runner build file.
   
   ------------------------
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 773818)
    Remaining Estimate: 0h
            Time Spent: 10m

> 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
>         Attachments: image-2022-05-16-11-25-32-904.png, 
> image-2022-05-16-11-28-12-702.png
>
>          Time Spent: 10m
>  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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