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https://issues.apache.org/jira/browse/SPARK-22314?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matyas Orhidi updated SPARK-22314:
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Summary: Accessing Hive UDFs defined without 'USING JAR' from Spark (was:
Accessing Hive UDFs from Spark originally defined without 'USING JAR')
> Accessing Hive UDFs defined without 'USING JAR' from Spark
> -----------------------------------------------------------
>
> Key: SPARK-22314
> URL: https://issues.apache.org/jira/browse/SPARK-22314
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: Matyas Orhidi
>
> When defining UDF functions in Hive it is possible to load the UDF jar(s)
> from a shared location e.g. from hive.reloadable.aux.jars.path, and then use
> the CREATE FUNCTION statement:
> {{CREATE FUNCTION <your_function_name> AS '<fully_qualified_class_name>';}}
> These UDFs are not working from Spark unless you use the
> {{CREATE FUNCTION <your_function_name> AS '<fully_qualified_class_name>'
> USING JAR
> 'hdfs:///<path/to/jar/in/hdfs>';}}
> command to create the Hive UDF function.
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