Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/22104#discussion_r212197529
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/EvalPythonExec.scala
---
@@ -117,15 +117,18 @@ abstract class EvalPythonExec(udfs: Seq[PythonUDF],
output: Seq[Attribute], chil
}
}.toArray
}.toArray
- val projection = newMutableProjection(allInputs, child.output)
+
+ // Project input rows to unsafe row so we can put it in the row queue
+ val unsafeProjection = UnsafeProjection.create(child.output,
child.output)
--- End diff --
Ideally all the operators will produce UnsafeRow. If the data source does
not produce UnsafeRow, Spark will make sure there will be a project above it to
produce UnsafeRow, so we don't need to worry it here and safely assume the
input is always UnsafeRow.
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