xinrong-meng commented on code in PR #40581:
URL: https://github.com/apache/spark/pull/40581#discussion_r1151338333
##########
connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala:
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@@ -482,27 +482,63 @@ class SparkConnectPlanner(val session: SparkSession) {
}
private def transformMapPartitions(rel: proto.MapPartitions): LogicalPlan = {
+ val baseRel = transformRelation(rel.getInput)
val commonUdf = rel.getFunc
- val pythonUdf = transformPythonUDF(commonUdf)
- val isBarrier = if (rel.hasIsBarrier) rel.getIsBarrier else false
- pythonUdf.evalType match {
- case PythonEvalType.SQL_MAP_PANDAS_ITER_UDF =>
- logical.MapInPandas(
- pythonUdf,
- pythonUdf.dataType.asInstanceOf[StructType].toAttributes,
- transformRelation(rel.getInput),
- isBarrier)
- case PythonEvalType.SQL_MAP_ARROW_ITER_UDF =>
- logical.PythonMapInArrow(
- pythonUdf,
- pythonUdf.dataType.asInstanceOf[StructType].toAttributes,
- transformRelation(rel.getInput),
- isBarrier)
+ commonUdf.getFunctionCase match {
+ case proto.CommonInlineUserDefinedFunction.FunctionCase.SCALAR_SCALA_UDF
=>
+ transformTypedMapPartitions(commonUdf, baseRel)
case _ =>
Review Comment:
nit: I am wondering if we shall use an explicit
```
case proto.CommonInlineUserDefinedFunction.FunctionCase.PYTHON_UDF
```
and add a `case _` to block other `function` field values.
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