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https://issues.apache.org/jira/browse/SPARK-8007?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14635597#comment-14635597
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Michael Armbrust commented on SPARK-8007:
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I'm going to propose that we don't change the analyzer, but instead just use
functions for all the cases that were specified. This is nice because we can
never be ambiguous with a user column.
> Support resolving virtual columns in DataFrames
> -----------------------------------------------
>
> Key: SPARK-8007
> URL: https://issues.apache.org/jira/browse/SPARK-8007
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
> Assignee: Joseph Batchik
>
> Create the infrastructure so we can resolve df("SPARK__PARTITION__ID") to
> SparkPartitionID expression.
> A cool use case is to understand physical data skew:
> {code}
> df.groupBy("SPARK__PARTITION__ID").count()
> {code}
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