wayneguow commented on code in PR #47506:
URL: https://github.com/apache/spark/pull/47506#discussion_r1694406012
##########
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala:
##########
@@ -1739,6 +1739,32 @@ abstract class CSVSuite
Row(1, Date.valueOf("1983-08-04"), null) :: Nil)
}
+ test("SPARK-49016: Queries from raw CSV files are disallowed when the
referenced columns only" +
+ " include the internal corrupt record column") {
+ val schema = new StructType()
+ .add("a", IntegerType)
+ .add("b", DateType)
+ .add("_corrupt_record", StringType)
+
+ // negative cases
+ checkError(
+ exception = intercept[AnalysisException] {
+ spark.read.schema(schema).csv(testFile(valueMalformedFile))
+ .select("_corrupt_record").collect()
Review Comment:
@HyukjinKwon Thanks for you explanation. Do you think we should change the
documentation and remove the CSV and just keep the JSON to avoid
misunderstandings?
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