[jira] [Commented] (SPARK-9296) variance, var_pop, and var_samp aggregate functions

["Yanbo Liang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-9296?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14726888#comment-14726888 ] 

Yanbo Liang commented on SPARK-9296:
------------------------------------

[~yhuai] I will work on this issue. I have implemented single pass variance computing algorithm.
But I found current analyzer looks up functions and returns aggregate functions built based on the old aggregate function interface, is that we need to implement old version interface for each new aggregate function? And it also need to convert old aggregate function interfaces to the ones built based on the new interface. Can we optimize the query work flow to directly generate plan for new aggregate interface?

> variance, var_pop, and var_samp aggregate functions
> ---------------------------------------------------
>
>                 Key: SPARK-9296
>                 URL: https://issues.apache.org/jira/browse/SPARK-9296
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Yin Huai
>
> A short introduction on how to build aggregate functions based on our new interface can be found at https://issues.apache.org/jira/browse/SPARK-4366?focusedCommentId=14639921&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-14639921.



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