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https://issues.apache.org/jira/browse/BEAM-8184?focusedWorklogId=309468&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-309468
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ASF GitHub Bot logged work on BEAM-8184:
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Author: ASF GitHub Bot
Created on: 10/Sep/19 01:52
Start Date: 10/Sep/19 01:52
Worklog Time Spent: 10m
Work Description: angoenka commented on pull request #9530: [BEAM-8184]
Add --async flag to dataflow runner
URL: https://github.com/apache/beam/pull/9530#discussion_r322522759
##########
File path: sdks/go/pkg/beam/runners/dataflow/dataflow.go
##########
@@ -62,6 +62,7 @@ var (
minCPUPlatform = flag.String("min_cpu_platform", "", "GCE minimum
cpu platform (optional)")
workerJar = flag.String("dataflow_worker_jar", "", "Dataflow
worker jar (optional)")
+ async = flag.Bool("async", false, "Asynchronous execution.
Submit the job and return immediately.")
Review comment:
I think `execute_async` convey the intent of the flag.
Python does not block the submission process unless we call
`wait_until_finish_duration` in the code so the contract is other way around
where we pass `wait_until_finish_duration` to make it synchronous while by
default, the execution is async.
However, @lostluck its your call :)
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Issue Time Tracking
-------------------
Worklog Id: (was: 309468)
Time Spent: 1h (was: 50m)
> Allow asynchronous execution
> ----------------------------
>
> Key: BEAM-8184
> URL: https://issues.apache.org/jira/browse/BEAM-8184
> Project: Beam
> Issue Type: Improvement
> Components: sdk-go
> Affects Versions: 2.15.0
> Reporter: Jack Whelpton
> Priority: Major
> Time Spent: 1h
> Remaining Estimate: 0h
>
> When developing streaming pipelines, it would be useful to have a means of
> deploying a pipeline and exiting, without blocking on completion.
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