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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/04/26 08:54:38 UTC

[jira] [Created] (SPARK-7150) Facilitate random column generation for DataFrames

Joseph K. Bradley created SPARK-7150:
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             Summary: Facilitate random column generation for DataFrames
                 Key: SPARK-7150
                 URL: https://issues.apache.org/jira/browse/SPARK-7150
             Project: Spark
          Issue Type: Improvement
          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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