Github user jiangxb1987 commented on a diff in the pull request:
https://github.com/apache/spark/pull/20316#discussion_r162489756
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonExec.scala
---
@@ -90,8 +90,9 @@ case class ArrowEvalPythonExec(udfs: Seq[PythonUDF],
output: Seq[Attribute], chi
private var currentIter = if (columnarBatchIter.hasNext) {
val batch = columnarBatchIter.next()
- assert(schemaOut.equals(batch.schema),
- s"Invalid schema from pandas_udf: expected $schemaOut, got
${batch.schema}")
+ val actualDataTypes = (0 until batch.numCols()).map(i =>
batch.column(i).dataType())
--- End diff --
Emmm... Looks good to have it inlined for now, in the future if we are to
fetch the schema elsewhere, we may move this to `ColumnVectorUtils`.
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