MaxGekk commented on issue #24757: [SPARK-27873][SQL] columnNameOfCorruptRecord should not be checked with column names in CSV header when disabling enforceSchema URL: https://github.com/apache/spark/pull/24757#issuecomment-497744330 I would prefer another solution - passing a schema without `columnNameOfCorruptRecord` to the checker. In that case, you don't need to modify the checker at all. For example, https://github.com/apache/spark/blob/02e9f933097107d870dba87cc03f6003af9b0efa/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/csv/CSVPartitionReaderFactory.scala#L49-L69 should be changed to: ```Scala val ds = StructType(dataSchema.filterNot(_.name == parsedOptions.columnNameOfCorruptRecord)) val rs = StructType(readDataSchema.filterNot(_.name == parsedOptions.columnNameOfCorruptRecord)) val parser = new UnivocityParser( ds, rs, parsedOptions) val schema = if (columnPruning) rs else ds val isStartOfFile = file.start == 0 val headerChecker = new CSVHeaderChecker( schema, parsedOptions, source = s"CSV file: ${file.filePath}", isStartOfFile) ```
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