MaxGekk commented on code in PR #45457:
URL: https://github.com/apache/spark/pull/45457#discussion_r1538627497
##########
sql/core/src/test/resources/sql-tests/results/udtf/udtf.sql.out:
##########
@@ -681,98 +679,120 @@ SELECT * FROM
InvalidEvalReturnsNoneToNonNullableColumnScalarType(TABLE(t2))
-- !query schema
struct<>
-- !query output
-org.apache.spark.api.python.PythonException
-pyspark.errors.exceptions.base.PySparkRuntimeError: [UDTF_EXEC_ERROR] User
defined table function encountered an error in the 'eval' or 'terminate'
method: Column 0 within a returned row had a value of None, either directly or
within array/struct/map subfields, but the corresponding column type was
declared as non-nullable; please update the UDTF to return a non-None value at
this location or otherwise declare the column type as nullable.
Review Comment:
The deleted error message seems reasonable. Do you know why it is replaced?
##########
core/src/test/scala/org/apache/spark/rdd/PairRDDFunctionsSuite.scala:
##########
@@ -614,7 +614,7 @@ class PairRDDFunctionsSuite extends SparkFunSuite with
SharedSparkContext {
val e = intercept[SparkException] {
pairs.saveAsNewAPIHadoopFile[NewFakeFormatWithCallback]("ignored")
}
- assert(e.getCause.getMessage contains "failed to write")
+ assert(e.getCause.getMessage contains "Task failed while writing rows")
Review Comment:
how it happens that you have to change this?
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