Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/18200
Let me give the example here.
Case 1:
```Scala
val corruptCVSRecords: Dataset[String] =
spark.createDataset(spark.sparkContext.parallelize(
"""1, "b"""" ::
"""2015""" :: Nil))(Encoders.STRING)
```
Case 2:
```Scala
val corruptCVSRecords: Dataset[String] =
spark.createDataset(spark.sparkContext.parallelize(
"""1, "b"""" ::
"""2""" :: Nil))(Encoders.STRING)
```
When passing the `corruptCVSRecords ` of Case 1, it works well; however, if
we change it to case 2, it failed.
```Scala
val df1 = spark.read
.schema("col1 int, col2 String, __corrupted_column_name string")
.option("columnNameOfCorruptRecord", "__corrupted_column_name")
.option("mode", PermissiveMode.name)
.csv(corruptCVSRecords)
df1.show()
```
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