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https://issues.apache.org/jira/browse/SPARK-7150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-7150:
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Issue Type: Sub-task (was: New Feature)
Parent: SPARK-6116
> Facilitate random column generation for DataFrames
> --------------------------------------------------
>
> Key: SPARK-7150
> URL: https://issues.apache.org/jira/browse/SPARK-7150
> Project: Spark
> Issue Type: Sub-task
> Components: ML, SQL
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> It would be handy to have easy ways to construct random columns for
> DataFrames. Proposed API:
> {code}
> object RandomRDD {
> def normalColumn(): Column = ???
> }
> {code}
> Usage:
> {code}
> myDataFrame.withColumn("myRandCol", RandomRDD.normalColumn())
> {code}
> This could be part of spark.ml (in which case it could be in a RandomRDD
> object resembling the one in spark.mllib), or it could be in SQL proper. I'd
> go for spark.ml, but either is fine with me.
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