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https://issues.apache.org/jira/browse/BEAM-14509?focusedWorklogId=774658&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-774658
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ASF GitHub Bot logged work on BEAM-14509:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 25/May/22 16:05
            Start Date: 25/May/22 16:05
    Worklog Time Spent: 10m 
      Work Description: lostluck commented on PR #17752:
URL: https://github.com/apache/beam/pull/17752#issuecomment-1137479686

   > * `sdk_location` - this is currently a python only option which I don't 
think we can just get for free. Additional investigation would be needed for 
this one.
   > * `enable_streaming_engine` - I tried this (it should control some 
experiments), and we don't get it for free with the Go Sdk - we'd have to 
follow up with the Dataflow team to figure out what it takes to turn streaming 
engine on for the Go Sdk.
   
   `sdk_location`  is definitely not going to be useful for Go: Everything's 
already compiled into the binary, so we can't have that overridden at runtime. 
No action required, as it's unsupportable.
   
   `enable_streaming_engine` - I thought that should already be enabled by 
default for all Dataflow jobs, but I could be getting that mixed up with 
Shuffle Service. This can already be controlled by an experiments flag at 
least. 
https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline#streaming-engine
 Agreed that additional investigation in the near term is worthwhile.
   




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

    Worklog Id:     (was: 774658)
    Time Spent: 1h 20m  (was: 1h 10m)

> Add Dataflow flags to Go
> ------------------------
>
>                 Key: BEAM-14509
>                 URL: https://issues.apache.org/jira/browse/BEAM-14509
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-dataflow, sdk-go
>            Reporter: Danny McCormick
>            Assignee: Danny McCormick
>            Priority: P2
>          Time Spent: 1h 20m
>  Remaining Estimate: 0h
>




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