Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/22305#discussion_r223774544
--- Diff:
core/src/main/scala/org/apache/spark/api/python/PythonRunner.scala ---
@@ -63,7 +65,7 @@ private[spark] object PythonEvalType {
*/
private[spark] abstract class BasePythonRunner[IN, OUT](
funcs: Seq[ChainedPythonFunctions],
- evalType: Int,
+ evalTypes: Seq[Int],
--- End diff --
The only eval types that can be used together are unbounded and bounded
windows right? I only worry that this might lead to more complications with the
other types that cannot be sent to the worker together.
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