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Posted to issues@spark.apache.org by "Ruslan Dautkhanov (JIRA)" <ji...@apache.org> on 2016/12/03 19:34:58 UTC

[jira] [Commented] (SPARK-8007) Support resolving virtual columns in DataFrames

    [ https://issues.apache.org/jira/browse/SPARK-8007?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15718615#comment-15718615 ] 

Ruslan Dautkhanov commented on SPARK-8007:
------------------------------------------

Is spark__partition__id available in PySpark too? Can't find a way to run the same code in PySpark.

> 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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