itholic commented on code in PR #39258:
URL: https://github.com/apache/spark/pull/39258#discussion_r1059243439
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sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala:
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@@ -370,8 +370,17 @@ abstract class CSVSuite
.load(testFile(carsFile)).collect()
}
- assert(exception.getMessage.contains("Malformed CSV record"))
-
assert(ExceptionUtils.getRootCause(exception).isInstanceOf[RuntimeException])
+ checkError(
+ exception = exception.getCause.asInstanceOf[SparkException],
+ errorClass = "_LEGACY_ERROR_TEMP_2177",
+ parameters = Map("failFastMode" -> "FAILFAST")
+ )
Review Comment:
This fails on `CSVv2Suite` since it raises `_LEGACY_ERROR_TEMP_2064` instead
of `_LEGACY_ERROR_TEMP_2177`.
Is there any way we separate the tests between CSVv1 and CSVv2 ??
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