Registering the UDF

In Cloudera Data Warehouse, you run a command from a client interface to your Virtual Warehouse, such as Data Explorer, to call the UDF from Hive queries. The UDF persists between HiveServer restarts.

You need to set up UDF access using a Ranger policy as follows:

Log in to the Cloudera Data Warehouse service and open Ranger from the Database Catalog associated with your Hive Virtual Warehouse.
On the Service Manager page, under the HADOOP SQL section, select the Database Catalog associated with the Hive Virtual Warehouse in which you want to run the UDFs.
Select the all - database, udf policy and add the users needing access to Data Explorer. To add all users, you can specify {USER}.

Open Data Explorer from the Hive Virtual Warehouse in Cloudera Data Warehouse .

Run the registration command by including the JAR location on your object store.

For example, on AWS:

CREATE FUNCTION udftypeof AS 'com.mycompany.hiveudf.TypeOf01' USING JAR 's3a://mybucket/mypath/TypeOf01-1.0-SNAPSHOT.jar';

On Azure:

CREATE FUNCTION udftypeof AS 'com.mycompany.hiveudf.TypeOf01' USING JAR 'abfs://mybucket/mypath/TypeOf01-1.0-SNAPSHOT.jar';

Restart the Virtual Warehouse.
Check that the UDF is registered.
```
SHOW FUNCTIONS;
```
You scroll through the output and find default.typeof.

Run a query that calls the UDF.

SELECT students.name, udftypeof(students.name) AS type FROM students WHERE age=35;