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Posted to reviews@spark.apache.org by "vicennial (via GitHub)" <gi...@apache.org> on 2023/07/12 15:28:49 UTC

[GitHub] [spark] vicennial opened a new pull request, #41959: [SPARK-44388][CONNECT] Fix protobuf cast issue when UDF instance is updated

vicennial opened a new pull request, #41959:
URL: https://github.com/apache/spark/pull/41959

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   ### What changes were proposed in this pull request?
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   This PR adds an `overrideUdf` argument for the `ScalarUserDefinedFunction` case class that allows the class to copy over the inner `udf` value from the parent instance instead of re-creating it. Through this, we avoid hitting a variant of the issue mentioned in [SPARK-43198](https://issues.apache.org/jira/browse/SPARK-43198) which seems to cause protobuf cast for instances that are made through a copy operation.
   
   ### Why are the changes needed?
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   Bugfix. Consider the following code:
   ```
   class A(x: Int) { def get = x * 7 }
   val myUdf = udf((x: Int) => new A(x).get)
   val modifiedUdf = myUdf.withName("myUdf").asNondeterministic()
   spark.range(5).select(modifiedUdf(col("id"))).as[Int].collect()
   ```
   
   Executing this code currently results in hitting the following error:
   ```
   java.lang.ClassCastException: org.apache.spark.connect.proto.ScalarScalaUDF cannot be cast to com.google.protobuf.MessageLite
       at com.google.protobuf.GeneratedMessageLite$SerializedForm.readResolve(GeneratedMessageLite.java:1462)
       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 java.io.ObjectStreamClass.invokeReadResolve(ObjectStreamClass.java:1274)
       at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2196)
   ...
   ```
   If we do not include the `myUdf.withName("myUdf").asNondeterministic()`, the UDF runs as expected.
   
   ### Does this PR introduce _any_ user-facing change?
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   Yes, fixes the bug mentioned above.
   
   ### How was this patch tested?
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   Added a new E2E test in `ReplE2ESuite`.


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[GitHub] [spark] HyukjinKwon commented on pull request #41959: [SPARK-44388][CONNECT] Fix protobuf cast issue when UDF instance is updated

Posted by "HyukjinKwon (via GitHub)" <gi...@apache.org>.
HyukjinKwon commented on PR #41959:
URL: https://github.com/apache/spark/pull/41959#issuecomment-1633931430

   Merged to master.


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[GitHub] [spark] vicennial commented on pull request #41959: [SPARK-44388][CONNECT] Fix protobuf cast issue when UDF instance is updated

Posted by "vicennial (via GitHub)" <gi...@apache.org>.
vicennial commented on PR #41959:
URL: https://github.com/apache/spark/pull/41959#issuecomment-1633847114

   cc @HyukjinKwon 


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[GitHub] [spark] vicennial commented on a diff in pull request #41959: [SPARK-44388][CONNECT] Fix protobuf cast issue when UDF instance is updated

Posted by "vicennial (via GitHub)" <gi...@apache.org>.
vicennial commented on code in PR #41959:
URL: https://github.com/apache/spark/pull/41959#discussion_r1261765371


##########
connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala:
##########
@@ -92,17 +92,21 @@ sealed abstract class UserDefinedFunction {
 /**
  * Holder class for a scalar user-defined function and it's input/output encoder(s).
  */
-case class ScalarUserDefinedFunction(
+case class ScalarUserDefinedFunction private (
     function: AnyRef,
     inputEncoders: Seq[AgnosticEncoder[_]],
     outputEncoder: AgnosticEncoder[_],
     name: Option[String],
     override val nullable: Boolean,
-    override val deterministic: Boolean)
+    override val deterministic: Boolean,

Review Comment:
   Thanks for the suggestion! It is indeed easier to work with it this way. 
   I also just realized the previous solution is flawed since `nullable` is part of the proto.ScalarScalaUDF so we can't override it in the case of `asNonNullable` update.
   
   In the new approach, I add the `serializedUdfPacket`  + the input/output proto types so that we can reconstruct the proto.ScalarScalaUDF message without hitting the ser issue while also supporting the nullable update. PTAL



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[GitHub] [spark] hvanhovell commented on a diff in pull request #41959: [SPARK-44388][CONNECT] Fix protobuf cast issue when UDF instance is updated

Posted by "hvanhovell (via GitHub)" <gi...@apache.org>.
hvanhovell commented on code in PR #41959:
URL: https://github.com/apache/spark/pull/41959#discussion_r1261585969


##########
connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/expressions/UserDefinedFunction.scala:
##########
@@ -92,17 +92,21 @@ sealed abstract class UserDefinedFunction {
 /**
  * Holder class for a scalar user-defined function and it's input/output encoder(s).
  */
-case class ScalarUserDefinedFunction(
+case class ScalarUserDefinedFunction private (
     function: AnyRef,
     inputEncoders: Seq[AgnosticEncoder[_]],
     outputEncoder: AgnosticEncoder[_],
     name: Option[String],
     override val nullable: Boolean,
-    override val deterministic: Boolean)
+    override val deterministic: Boolean,

Review Comment:
   We could also make the serialized `udf` part of the parameters. That should make it a bit easier to work with.



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[GitHub] [spark] HyukjinKwon closed pull request #41959: [SPARK-44388][CONNECT] Fix protobuf cast issue when UDF instance is updated

Posted by "HyukjinKwon (via GitHub)" <gi...@apache.org>.
HyukjinKwon closed pull request #41959: [SPARK-44388][CONNECT] Fix protobuf cast issue when UDF instance is updated
URL: https://github.com/apache/spark/pull/41959


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