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### What changes were proposed in this pull request? In Hive mode, permanent functions are shared with Hive metastore so that functions may be modified by other Hive client. With in long-lived spark scene, it's hard to update the change of function. Here are 2 reasons: * Spark cache the function in memory using `FunctionRegistry`. * User may not know the location or classname of udf when using `replace function`. Note that we use v2 command code path to add new command. ### Why are the changes needed? Give a easy way to make spark function registry sync with Hive metastore. Then we can call ``` refresh function functionName ``` ### Does this PR introduce _any_ user-facing change? Yes, new command. ### How was this patch tested? New UT. Closes #28840 from ulysses-you/SPARK-31999. Authored-by: ulysses <youxiduo@weidian.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
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