Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/12836#discussion_r62603320
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/r/MapPartitionsRWrapper.scala
---
@@ -25,6 +25,21 @@ import org.apache.spark.sql.Row
import org.apache.spark.sql.types.{BinaryType, StructField, StructType}
/**
+ * A function wrapper that applies the given R function to each partition
of each group.
+ */
+private[sql] case class MapGroupsRWrapper(
--- End diff --
Instead, create a new physical operator, similar to MapGroupsExec. In the
doExecute() of the new operator:
{code}
new RRunner
new Buffer for result
grouped.flatMap { case (key, rowIter) =>
call RRunner.execute()
append the values from the resulting iterator to the buffer
}
{code}
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