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https://issues.apache.org/jira/browse/SPARK-6292?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14512944#comment-14512944
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Reynold Xin commented on SPARK-6292:
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We should probably create tickets explicitly for randomSplit and sampleByKey +
sampleByKeyExact.
> Add RDD methods to DataFrame to preserve schema
> -----------------------------------------------
>
> Key: SPARK-6292
> URL: https://issues.apache.org/jira/browse/SPARK-6292
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 1.3.0
> Reporter: Joseph K. Bradley
>
> Users can use RDD methods on DataFrames, but they lose the schema and need to
> reapply it. For RDD methods which preserve the schema (such as randomSplit),
> DataFrame should provide versions of those methods which automatically
> preserve the schema.
> Here are a few I'd prioritize (for my use cases!)
> * randomSplit
> * sampleByKey + sampleByKeyExact
> ** Q: Should "key" be a single column, or should we support using a set of
> columns as a key?
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