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https://issues.apache.org/jira/browse/SPARK-12863?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15105262#comment-15105262
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Milad Khajavi commented on SPARK-12863:
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I'm doing it with Dataframe api, but Dataset api doesn't have this
functionality.
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Milād Khājavi
http://blog.khajavi.ir
Having the source means you can do it yourself.
I tried to change the world, but I couldn’t find the source code.
> missing api for renaming and mapping result of operations on GroupedDataset
> to case classes
> -------------------------------------------------------------------------------------------
>
> Key: SPARK-12863
> URL: https://issues.apache.org/jira/browse/SPARK-12863
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, SQL
> Affects Versions: 1.6.0
> Reporter: Milad Khajavi
>
> Here I struggle with spark api to convert the result of count to convert that
> to KeyValue case class. I think there is no api for changing the column of
> Dataset and mapping them to new case class.
> case class LogRow(id: String, location: String, time: Long)
> case class KeyValue(key: (String, String), value: Long)
> val log = LogRow("1", "a", 1) :: and so on
> log.toDS().groupBy(l => {(l.id, l.location)}).count().toDF().toDF("key",
> "value").as[KeyValue].printSchema()
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