andygrove commented on code in PR #471:
URL: https://github.com/apache/datafusion-comet/pull/471#discussion_r1617524600


##########
spark/src/test/scala/org/apache/comet/CometExpressionSuite.scala:
##########
@@ -1469,5 +1469,38 @@ class CometExpressionSuite extends CometTestBase with 
AdaptiveSparkPlanHelper {
       }
     }
   }
+  test("unary negative integer overflow test") {
 
+    val df = Seq(Int.MaxValue, Int.MinValue).toDF("a")
+    df.write.mode("overwrite").parquet("/tmp/int.parquet")
+    spark.read.parquet("/tmp/int.parquet").createTempView("t")
+
+    // without ANSI mode
+    withSQLConf(
+      SQLConf.ANSI_ENABLED.key -> "false",
+      CometConf.COMET_ANSI_MODE_ENABLED.key -> "false",
+      CometConf.COMET_ENABLED.key -> "true",
+      CometConf.COMET_EXEC_ENABLED.key -> "true") {
+      checkSparkMaybeThrows(sql("select a, -a from t")) match {
+        case (None, None) => // no exception
+        case _ =>
+          fail("No exception should be thrown")
+      }

Review Comment:
   I think you can just use `checkSparkAnswerAndOperator` here to make sure 
Comet returns the correct results and does not throw an exception.
   
   ```suggestion
         checkSparkAnswerAndOperator(sql("select a, -a from t"))
   ```



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