schema mismatch failure error message for parquet vectorized reader

[Feng-Jiang28]

When runing the code below which causes schema mismatch failure to interception, the Spark test case is expecting: eror message like this, "Column: [a], Expected: string, Found: INT32". But plugin gives "Column: a, Expected: string, Found: required int32 a
". It is the same thing, just the formats are different.
Reproduce:

spark.conf.set("spark.sql.parquet.enableVectorizedReader", "true")
Seq(("bcd", 2)).toDF("a", "b").coalesce(1).write.mode("overwrite").parquet("/home/fejiang/Documents/temp5")
Seq((1, "abc")).toDF("a", "b").coalesce(1).write.mode("append").parquet("/home/fejiang/Documents/temp5")
spark.read.parquet("/home/fejiang/Documents/temp5").collect()

CPU:

scala> spark.read.parquet("/home/fejiang/Documents/temp5").collect()
24/09/09 10:04:03 ERROR Executor: Exception in task 0.0 in stage 5.0 (TID 6)
org.apache.spark.sql.execution.QueryExecutionException: Parquet column cannot be converted in file file:///home/fejiang/Documents/temp5/part-00000-f417699a-491e-4c03-85c9-18edf1aef53f-c000.snappy.parquet. Column: [a], Expected: string, Found: INT32
	at org.apache.spark.sql.errors.QueryExecutionErrors$.unsupportedSchemaColumnConvertError(QueryExecutionErrors.scala:706)

GPU:

scala> spark.read.parquet("/home/fejiang/Documents/temp5").collect()
24/09/09 10:05:09 ERROR Executor: Exception in task 1.0 in stage 7.0 (TID 9)
org.apache.spark.sql.execution.QueryExecutionException: Parquet column cannot be converted in file file:///home/fejiang/Documents/temp5/part-00000-f2e48e82-663b-4236-8b1f-387a9eadc848-c000.snappy.parquet. Column: a, Expected: string, Found: required int32 a
	at com.nvidia.spark.rapids.GpuParquetFileFilterHandler.throwTypeIncompatibleError(GpuParquetScan.scala:1025)
	at com.nvidia.spark.rapids.GpuParquetFileFilterHandler.$anonfun$filterBlocks$12(GpuParquetScan.scala:757)
	at com.nvidia.spark.rapids.GpuParquetFileFilterHandler.$anonfun$filterBlocks$12$adapted(GpuParquetScan.scala:757)