Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/12836#discussion_r62603091
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala ---
@@ -310,6 +310,10 @@ private[sql] abstract class SparkStrategies extends
QueryPlanner[SparkPlan] {
case logical.MapPartitionsInR(f, p, b, is, os, objAttr, child) =>
execution.MapPartitionsExec(
execution.r.MapPartitionsRWrapper(f, p, b, is, os), objAttr,
planLater(child)) :: Nil
+ case logical.MapGroupsInR(f, p, b, is, os, key, value, grouping,
data, objAttr,
+ child) => execution.MapGroupsExec(
+ execution.r.MapGroupsRWrapper(f, p, b, is, os), key, value,
grouping,
--- End diff --
don't use MapGroupsRWrapper, as dapply() does. Because this way, the
Wrapper function will be called multiple times for a partition, which means R
worker will be launched multiple times, which hurts performance.
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