Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18200#discussion_r120805631
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
---
@@ -1174,4 +1174,12 @@ class CSVSuite extends QueryTest with
SharedSQLContext with SQLTestUtils {
}
}
}
+
+ test("SPARK-20978: Set null for malformed column when the number of
tokens is less than schema") {
+ val df = spark.read
+ .schema("a string, b string, unparsed string")
+ .option("columnNameOfCorruptRecord", "unparsed")
+ .csv(Seq("a").toDS())
+ checkAnswer(df, Row("a", null, null))
--- End diff --
Without this PR, you can try this example.
```Scala
val corruptCVSRecords: Dataset[String] =
spark.createDataset(spark.sparkContext.parallelize(
"""1997, "b"""" ::
"""2015""" :: 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()
```
The output result of `Permissive` mode also treats the records with less
columns as corrupted.
```
+----+----+-----------------------+
|col1|col2|__corrupted_column_name|
+----+----+-----------------------+
|1997| "b"| null|
|2015|null| 2015|
+----+----+-----------------------+
```
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