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https://issues.apache.org/jira/browse/SPARK-16283?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15375431#comment-15375431
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Kai Jiang commented on SPARK-16283:
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I also noticed that there is an inconsistency between hive's approach and
dataset's approach. Which one should we go with? Cause it's a function passed
over to hive, I vote to port hive's implementation to spark. [~rxin],
[~thunterdb] could you share some ideas on this? Thanks! I also would love to
try on this one once we decide which way to go with.
> Implement percentile_approx SQL function
> ----------------------------------------
>
> Key: SPARK-16283
> URL: https://issues.apache.org/jira/browse/SPARK-16283
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
>
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