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https://issues.apache.org/jira/browse/SPARK-12491?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15073125#comment-15073125
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Yin Huai commented on SPARK-12491:
----------------------------------
https://github.com/apache/spark/commit/5e603a51c09a94280c346bee12def0c49479d069
fix a problem with a similar symptom. The original jira reported the problem
can be found at https://issues.apache.org/jira/browse/SPARK-11885. Can you try
the latest 1.5 branch and see if you still see the problem?
> UDAF result differs in SQL if alias is used
> -------------------------------------------
>
> Key: SPARK-12491
> URL: https://issues.apache.org/jira/browse/SPARK-12491
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.2
> Reporter: Tristan
> Attachments: UDAF_GM.zip
>
>
> Using the GeometricMean UDAF example
> (https://databricks.com/blog/2015/09/16/spark-1-5-dataframe-api-highlights-datetimestring-handling-time-intervals-and-udafs.html),
> I found the following discrepancy in results:
> {code}
> scala> sqlContext.sql("select group_id, gm(id) from simple group by
> group_id").show()
> +--------+---+
> |group_id|_c1|
> +--------+---+
> | 0|0.0|
> | 1|0.0|
> | 2|0.0|
> +--------+---+
> scala> sqlContext.sql("select group_id, gm(id) as GeometricMean from simple
> group by group_id").show()
> +--------+-----------------+
> |group_id| GeometricMean|
> +--------+-----------------+
> | 0|8.981385496571725|
> | 1|7.301716979342118|
> | 2|7.706253151292568|
> +--------+-----------------+
> {code}
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