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https://issues.apache.org/jira/browse/SPARK-15964?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-15964.
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Resolution: Won't Fix
> Assignment to RDD-typed val fails
> ---------------------------------
>
> Key: SPARK-15964
> URL: https://issues.apache.org/jira/browse/SPARK-15964
> Project: Spark
> Issue Type: Bug
> Affects Versions: 2.0.0
> Environment: Notebook on Databricks Community-Edition
> Spark-2.0 preview
> Google Chrome Browser
> Linux Ubuntu 14.04 LTS
> Reporter: Sanjay Dasgupta
>
> Unusual assignment error, giving the following error message:
> found : org.apache.spark.rdd.RDD[Name]
> required : org.apache.spark.rdd.RDD[Name]
> This occurs when the assignment is attempted in a cell that is different from
> the cell in which the item on the right-hand-side is defined. As in the
> following example:
> // CELL-1
> import org.apache.spark.sql.Dataset
> import org.apache.spark.rdd.RDD
> case class Name(number: Int, name: String)
> val names = Seq(Name(1, "one"), Name(2, "two"), Name(3, "three"), Name(4,
> "four"))
> val dataset: Dataset[Name] =
> spark.sparkContext.parallelize(names).toDF.as[Name]
> // CELL-2
> // Error reported here ...
> val dataRdd: RDD[Name] = dataset.rdd
> The error is reported in CELL-2
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