Apache-spark – Unable to use an existing Hive permanent UDF from Spark SQL

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.

I'm stumped.

• Am I correct in my assumption that Spark can utilise metastore-defined permanent UDFs?
• Am I creating the function correctly in hive?