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Luke Miner commented on SPARK-19428: ------------------------------------ Couple of things. Sometimes I just want a random row from each group. However, if sorting is allowed, then it is useful to get a single row from each group based on the maximum or minimum of some column. Even more useful would be something like {{df.groupby('group').orderBy('foo').limit(n)}} Then it would be easy to get the top {{n}} observations for each group based on some criteria. > 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. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org