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https://issues.apache.org/jira/browse/BEAM-2085?focusedWorklogId=582869&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-582869
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ASF GitHub Bot logged work on BEAM-2085:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 14/Apr/21 20:34
            Start Date: 14/Apr/21 20:34
    Worklog Time Spent: 10m 
      Work Description: tvalentyn commented on a change in pull request #14390:
URL: https://github.com/apache/beam/pull/14390#discussion_r613568801



##########
File path: sdks/python/apache_beam/pipeline.py
##########
@@ -502,6 +505,8 @@ def run(self, test_runner_api='AUTO'):
     # Records whether this pipeline contains any cross-language transforms.
     self.contains_external_transforms = (
         ExternalTransformFinder.contains_external_transforms(self))
+    # Move in to_runner_api instead?

Review comment:
       Ah, the pipeline DAG of AppliedTransforms is constructed from root to 
leaves right? Then multiple traversals shouldn't be a concern, since we 
traverse at the time of application/adding a part.




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 582869)
    Time Spent: 13.5h  (was: 13h 20m)

> Transforms could give hints to runners on resource requirements
> ---------------------------------------------------------------
>
>                 Key: BEAM-2085
>                 URL: https://issues.apache.org/jira/browse/BEAM-2085
>             Project: Beam
>          Issue Type: Improvement
>          Components: beam-model, runner-core, sdk-java-core
>    Affects Versions: Not applicable
>            Reporter: Ismaël Mejía
>            Assignee: Valentyn Tymofieiev
>            Priority: P3
>              Labels: Clarified
>          Time Spent: 13.5h
>  Remaining Estimate: 0h
>
> As discussed in BEAM-673 runners can allocate workers to accomplish their 
> work in a better way if they can take into account some hints from the 
> transforms, e.g. a source can hint data locality and with this information 
> the runner can allocate the workers in an better way, this can also be the 
> case with a particular transform that can suggest to the runner to be 
> executed in a worker with a specific resource, e.g. GPU.



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