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https://issues.apache.org/jira/browse/SPARK-19439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15854034#comment-15854034
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Hyukjin Kwon commented on SPARK-19439:
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So, as you said, is this a duplicate of SPARK-10915? If so, it'd maybe make
sense just to add some comment there or reopen rather than creating a new one.
> PySpark's registerJavaFunction Should Support UDAFs
> ---------------------------------------------------
>
> Key: SPARK-19439
> URL: https://issues.apache.org/jira/browse/SPARK-19439
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 2.1.0
> Reporter: Keith Bourgoin
>
> When trying to import a Scala UDAF using registerJavaFunction, I get this
> error:
> {code}
> In [1]: sqlContext.registerJavaFunction('geo_mean',
> 'com.foo.bar.GeometricMean')
> ---------------------------------------------------------------------------
> Py4JJavaError Traceback (most recent call last)
> <ipython-input-1-1f793218436f> in <module>()
> ----> 1 sqlContext.registerJavaFunction('geo_mean',
> 'com.foo.bar.GeometricMean')
> /home/kfb/src/projects/spark/python/pyspark/sql/context.pyc in
> registerJavaFunction(self, name, javaClassName, returnType)
> 227 if returnType is not None:
> 228 jdt =
> self.sparkSession._jsparkSession.parseDataType(returnType.json())
> --> 229 self.sparkSession._jsparkSession.udf().registerJava(name,
> javaClassName, jdt)
> 230
> 231 # TODO(andrew): delete this once we refactor things to take in
> SparkSession
> /home/kfb/src/projects/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py
> in __call__(self, *args)
> 1131 answer = self.gateway_client.send_command(command)
> 1132 return_value = get_return_value(
> -> 1133 answer, self.gateway_client, self.target_id, self.name)
> 1134
> 1135 for temp_arg in temp_args:
> /home/kfb/src/projects/spark/python/pyspark/sql/utils.pyc in deco(*a, **kw)
> 61 def deco(*a, **kw):
> 62 try:
> ---> 63 return f(*a, **kw)
> 64 except py4j.protocol.Py4JJavaError as e:
> 65 s = e.java_exception.toString()
> /home/kfb/src/projects/spark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py
> in get_return_value(answer, gateway_client, target_id, name)
> 317 raise Py4JJavaError(
> 318 "An error occurred while calling {0}{1}{2}.\n".
> --> 319 format(target_id, ".", name), value)
> 320 else:
> 321 raise Py4JError(
> Py4JJavaError: An error occurred while calling o28.registerJava.
> : java.io.IOException: UDF class com.foo.bar.GeometricMean doesn't implement
> any UDF interface
> at
> org.apache.spark.sql.UDFRegistration.registerJava(UDFRegistration.scala:438)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:280)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:745)
> {code}
> According to SPARK-10915, UDAFs in Python aren't happening anytime soon.
> Without this, there's no way to get Scala UDAFs into Python Spark SQL
> whatsoever. Fixing that would be a huge help so that we can keep aggregations
> in the JVM and using DataFrames. Otherwise, all our code has to drop to to
> RDDs and live in Python.
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