I have previously registered a UDF with hive. It is permanent not TEMPORARY. It works in beeline.
CREATE FUNCTION normaliseURL AS 'com.example.hive.udfs.NormaliseURL' USING JAR 'hdfs://udfs/hive-udfs.jar';
I have spark configured to use the hive metastore. The config is working as I can query hive tables. I can see the UDF;
In [9]: spark.sql('describe function normaliseURL').show(truncate=False)
+-------------------------------------------+
|function_desc |
+-------------------------------------------+
|Function: default.normaliseURL |
|Class: com.example.hive.udfs.NormaliseURL |
|Usage: N/A. |
+-------------------------------------------+
However I cannot use the UDF in a sql statement;
spark.sql('SELECT normaliseURL("value")')
AnalysisException: "Undefined function: 'default.normaliseURL'. This function is neither a registered temporary function nor a permanent function registered in the database 'default'.; line 1 pos 7"
If I attempt to register the UDF with spark (bypassing the metastore) it fails to register it, suggesting that it does already exist.
In [12]: spark.sql("create function normaliseURL as 'com.example.hive.udfs.NormaliseURL'")
AnalysisException: "Function 'default.normaliseURL' already exists in database 'default';"
I'm using Spark 2.0, hive metastore 1.1.0. The UDF is scala, my spark driver code is python.