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https://issues.apache.org/jira/browse/SPARK-6293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14523469#comment-14523469
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Joseph K. Bradley commented on SPARK-6293:
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I don't think it will be an issue once the RDD methods are added to DataFrame
> SQLContext.implicits should provide automatic conversion for RDD[Row]
> ---------------------------------------------------------------------
>
> Key: SPARK-6293
> URL: https://issues.apache.org/jira/browse/SPARK-6293
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 1.3.0
> Reporter: Joseph K. Bradley
>
> When a DataFrame is converted to an RDD[Row], it should be easier to convert
> it back to a DataFrame via toDF. E.g.:
> {code}
> val df: DataFrame = myRDD.toDF("col1", "col2") // This works for types like
> RDD[scala.Tuple2[...]]
> val splits = df.rdd.randomSplit(...)
> val split0: RDD[Row] = splits(0)
> val df0 = split0.toDF("col1", "col2") // This fails
> {code}
> The failure happens because SQLContext.implicits does not provide an
> automatic conversion for Rows. (It does handle Products, but Row does not
> implement Product.)
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