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https://issues.apache.org/jira/browse/SPARK-19428?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15852892#comment-15852892
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Sean Owen commented on SPARK-19428:
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Let's see, if as above you could get the nth most recent timestamp per
individual_id, then you can join back to the original data on individual_id and
filter the result where timestamp > nth_timestamp. Pardon, I don't have the
syntax off the top of my head but I think this is straightforward. I'd do it
that way unless a) actually not doable or b) ends up really slow
> Ability to select first row of groupby
> --------------------------------------
>
> Key: SPARK-19428
> URL: https://issues.apache.org/jira/browse/SPARK-19428
> Project: Spark
> Issue Type: Brainstorming
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Luke Miner
> Priority: Minor
>
> It would be nice to be able to select the first row from {{GroupedData}}.
> Pandas has something like this:
> {{df.groupby('group').first()}}
> It's especially handy if you can order the group as well.
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