Github user wangyum commented on a diff in the pull request: https://github.com/apache/spark/pull/18833#discussion_r131566102 --- Diff: sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/MathExpressionsSuite.scala --- @@ -403,11 +403,13 @@ class MathExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper { test("sqrt") { testUnary(Sqrt, math.sqrt, (0 to 20).map(_ * 0.1)) - testUnary(Sqrt, math.sqrt, (-5 to -1).map(_ * 1.0), expectNaN = true) + testUnary(Sqrt, math.sqrt, (-5 to -1).map(_ * 1.0), expectNull = true) --- End diff -- Yes, we migrated Hive and MySQL SQLs to Spark, and found some inconsistencies. `NaN` is unfamiliar to MySQL and Oracle users
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