dongjoon-hyun commented on issue #23851: [SPARK-26950][SQL][TEST] Make RandomDataGenerator use Float.NaN or Double.NaN for all NaN values URL: https://github.com/apache/spark/pull/23851#issuecomment-466104618 Thank you for review, @cloud-fan and @srowen . To @cloud-fan . `checkEvaluationWithUnsafeProjection` should handle more complex expressions like `from_avro(to_avro([NaN]), {"type":"record","name":"topLevelRecord","fields":[{"name":"col_1","type":["float","null"]}]})` described in the PR description. However, 1. `NormalizeNaNAndZero` expects and handles `Float` and `Double` instances only. 2. `NormalizeFloatingNumbers` expects `Plan`.
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