Github user HyukjinKwon commented on a diff in the pull request: https://github.com/apache/spark/pull/15751#discussion_r86504643 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala --- @@ -223,15 +232,15 @@ class CSVFileFormat extends TextBasedFileFormat with DataSourceRegister { private def verifySchema(schema: StructType): Unit = { def verifyType(dataType: DataType): Unit = dataType match { - case ByteType | ShortType | IntegerType | LongType | FloatType | - DoubleType | BooleanType | _: DecimalType | TimestampType | - DateType | StringType => + case ByteType | ShortType | IntegerType | LongType | FloatType | + DoubleType | BooleanType | _: DecimalType | TimestampType | + DateType | StringType => - case udt: UserDefinedType[_] => verifyType(udt.sqlType) + case udt: UserDefinedType[_] => verifyType(udt.sqlType) - case _ => - throw new UnsupportedOperationException( - s"CSV data source does not support ${dataType.simpleString} data type.") + case _ => + throw new UnsupportedOperationException( + s"CSV data source does not support ${dataType.simpleString} data type.") --- End diff -- CSV currently throws `UnsupportedOperation` but text datasource throws `AnalysisException`. I just matched this to `UnsupportedOperation`. I am happy to match this to `AnalysisException` if anyone thinks so.
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