Github user MaxGekk commented on a diff in the pull request: https://github.com/apache/spark/pull/22367#discussion_r216324646 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala --- @@ -79,7 +79,8 @@ private[csv] object CSVInferSchema { * point checking if it is an Int, as the final type must be Double or higher. */ def inferField(typeSoFar: DataType, field: String, options: CSVOptions): DataType = { - if (field == null || field.isEmpty || field == options.nullValue) { + if (field == null || field.isEmpty || field == options.nullValue || + field == options.emptyValueInRead) { --- End diff -- I kept the changes because the test https://github.com/apache/spark/pull/22367/files#diff-0433a2d4247fdef1fc57ab95d99218cfR108 seems reasonable for me. Without the changes it fails since inferred type becomes StringType. In any case I will revert this if you insist.
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