Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/18200
@maropu and @gatorsmile, I double-checked
```
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -38,7 +38,7 @@
<dependency>
<groupId>com.univocity</groupId>
<artifactId>univocity-parsers</artifactId>
- <version>2.2.1</version>
+ <version>2.5.0-SNAPSHOT</version>
<type>jar</type>
</dependency>
<dependency>
```
it is fixed in `2.5.0-SNAPSHOT` and other tests pass fine.
```scala
val df = spark.read
.schema("a string, b string, unparsed string")
.option("columnNameOfCorruptRecord", "unparsed")
.csv(Seq("a").toDS())
df.show()
```
```
+---+----+--------+
| a| b|unparsed|
+---+----+--------+
| a|null| a|
+---+----+--------+
```
```scala
val corruptCVSRecords: Dataset[String] =
spark.createDataset(spark.sparkContext.parallelize(
"""1, "b"""" ::
"""2""" :: Nil))(Encoders.STRING)
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()
```
```
+----+----+-----------------------+
|col1|col2|__corrupted_column_name|
+----+----+-----------------------+
| 1| "b"| null|
| 2|null| 2|
+----+----+-----------------------+
```
Thank you for checking this. I will double check and will propose to bump
up this library after the release.
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