Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18200#discussion_r120555082
--- 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 --
I did not read the code yet, but it looks like the result is wrong? We
should output the `a` in the corrupted column.
In addition, this scenario works if we pass the csv files that contain less
column values than the schema, right?
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