pan3793 commented on code in PR #7187:
URL: https://github.com/apache/kyuubi/pull/7187#discussion_r2605263871
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extensions/spark/kyuubi-spark-authz/src/main/scala/org/apache/kyuubi/plugin/spark/authz/ranger/RangerSparkExtension.scala:
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@@ -45,6 +45,7 @@ class RangerSparkExtension extends (SparkSessionExtensions =>
Unit) {
override def apply(v1: SparkSessionExtensions): Unit = {
v1.injectCheckRule(AuthzConfigurationChecker)
+ v1.injectCheckRule(RuleFunctionAuthorization)
Review Comment:
the cases you provided are actually what `ConstantFolding` does, for a
deterministic Hive UDF, when the input is foldable, e.g., a literal, the
expression can be folded by the optimizer, this is also a corner case where the
UDF evaluation occurs on the driver side instead of the executor side.
@ygjia could you please add some comments to briefly explain that?
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