HyukjinKwon commented on a change in pull request #29009:
URL: https://github.com/apache/spark/pull/29009#discussion_r450147882
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File path: docs/sql-migration-guide.md
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@@ -970,3 +970,4 @@ Below are the scenarios in which Hive and Spark generate
different results:
* `ACOS(n)` If n < -1 or n > 1, Hive returns null, Spark SQL returns NaN.
* `ASIN(n)` If n < -1 or n > 1, Hive returns null, Spark SQL returns NaN.
* `CAST(n AS TIMESTAMP)` If n is integral numbers, Hive treats n as
milliseconds, Spark SQL treats n as seconds.
+* `REGEXP(str, patten)` Hive support this function, Spark SQL use RLIKE
instead.
Review comment:
Also, technically this isn's in "the scenarios in which Hive and Spark
generate different results".
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