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https://issues.apache.org/jira/browse/BEAM-11532?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kenneth Knowles updated BEAM-11532:
-----------------------------------
Status: Open (was: Triage Needed)
> df.merge with identically-named `on` columns produces duplicate output columns
> ------------------------------------------------------------------------------
>
> Key: BEAM-11532
> URL: https://issues.apache.org/jira/browse/BEAM-11532
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Affects Versions: 2.26.0, 2.27.0
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P1
> Fix For: 2.28.0
>
>
> For example, when joining on 'a' in both df1 and df2:
> {code}
> Failed example:
> df1.merge(df2, how='inner', on='a')
> Expected:
> 0 foo 1 3
> a b c
> Got:
> 0 foo 1 foo 3
> a_x b a_y c
> {code}
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