wayneguow commented on code in PR #47506:
URL: https://github.com/apache/spark/pull/47506#discussion_r1716879942
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sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala:
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@@ -1765,6 +1765,32 @@ abstract class CSVSuite
}
}
+ 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()
+ },
+ errorClass = "_LEGACY_ERROR_TEMP_1285",
Review Comment:
@MaxGekk Of course. And I plan to use
`UNSUPPORTED_FEATURE.QUERY_ONLY_INCLUDE_CORRUPT_RECORD_COLUMN` as the error
class name, do you think it's suitable?
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