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https://issues.apache.org/jira/browse/BEAM-9951?focusedWorklogId=433452&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-433452
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ASF GitHub Bot logged work on BEAM-9951:
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Author: ASF GitHub Bot
Created on: 15/May/20 00:41
Start Date: 15/May/20 00:41
Worklog Time Spent: 10m
Work Description: lostluck commented on pull request #11665:
URL: https://github.com/apache/beam/pull/11665#issuecomment-628958995
I think this LGTM.
Overall, it's probably fine either way. In terms of effort, the risk is
often "the pipelines emit nothing/very little" and terminate very quickly,
which other metrics that expect certain amounts of data. The main risk is the
user doesn't have validation on the profiling pipeline and think things are
going very very fast. But given performance metrics tend to be "per element",
they'll pay attention to things like that.
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Issue Time Tracking
-------------------
Worklog Id: (was: 433452)
Time Spent: 1h 10m (was: 1h)
> Create Go SDK synthetic sources.
> --------------------------------
>
> Key: BEAM-9951
> URL: https://issues.apache.org/jira/browse/BEAM-9951
> Project: Beam
> Issue Type: Sub-task
> Components: sdk-go
> Reporter: Daniel Oliveira
> Assignee: Daniel Oliveira
> Priority: Major
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> Create synthetic sources for the Go SDK like
> [Java|https://github.com/apache/beam/tree/master/sdks/java/io/synthetic/src/main/java/org/apache/beam/sdk/io/synthetic]
> and
> [Python|https://github.com/apache/beam/blob/master/sdks/python/apache_beam/testing/synthetic_pipeline.py]
> have.
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