Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/12057#discussion_r57993466
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/BatchPythonEvaluation.scala
---
@@ -89,19 +92,30 @@ case class BatchPythonEvaluation(udf: PythonUDF,
output: Seq[Attribute], child:
val context = TaskContext.get()
// Output iterator for results from Python.
- val outputIterator = new PythonRunner(pyFuncs, bufferSize,
reuseWorker, true)
+ val outputIterator = new PythonRunner(pyFuncs, bufferSize,
reuseWorker, true, numArgs)
.compute(inputIterator, context.partitionId(), context)
val unpickle = new Unpickler
- val row = new GenericMutableRow(1)
+ val mutableRow = new GenericMutableRow(1)
val joined = new JoinedRow
+ val resultType = if (udfs.length == 1) {
+ udfs.head.dataType
+ } else {
+ StructType(udfs.map(u => StructField("", u.dataType, u.nullable)))
+ }
val resultProj = UnsafeProjection.create(output, output)
outputIterator.flatMap { pickedResult =>
val unpickledBatch = unpickle.loads(pickedResult)
unpickledBatch.asInstanceOf[java.util.ArrayList[Any]].asScala
}.map { result =>
- row(0) = EvaluatePython.fromJava(result, udf.dataType)
+ val row = if (udfs.length == 1) {
--- End diff --
Comparing evaluate Python UDF, I think this does not matter, JIT compiler
could predict this branch pretty easy.
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