What is the process for initializing Java UDFs in Spark?

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The process for initializing Java UDFs in Spark is as follows:

1. Create a Java class that implements the UserDefinedFunction interface.

2. Implement the evaluate method, which takes in input parameters and returns the output.

3. Build the Java project and create a jar file.

4. Start the Spark shell or Spark application and add the jar file to the classpath.

5. Register the UDF with Spark by calling the sqlContext.udf().register() method.

6. Use the UDF in Spark SQL queries by calling the registered function name.