[jira] [Created] (BEAM-1737) Interpreting a Single-output ParDo as a Multi-output ParDo with a single output causes serialization failures

["Thomas Groh (JIRA)" <ji...@apache.org>]

Thomas Groh created BEAM-1737:
---------------------------------

             Summary: Interpreting a Single-output ParDo as a Multi-output ParDo with a single output causes serialization failures
                 Key: BEAM-1737
                 URL: https://issues.apache.org/jira/browse/BEAM-1737
             Project: Beam
          Issue Type: Bug
          Components: runner-spark
            Reporter: Thomas Groh
            Priority: Minor


This is the cause of having a separate path and implementation for single-output ParDos, even though both go through the same translator.

Partial stacktrace:

Tests run: 9, Failures: 0, Errors: 6, Skipped: 0, Time elapsed: 5.946 sec <<< FAILURE! - in org.apache.beam.runners.spark.translation.streaming.CreateStreamTest                                         [8233/41535]
testLateDataAccumulating(org.apache.beam.runners.spark.translation.streaming.CreateStreamTest)  Time elapsed: 3.593 sec  <<< ERROR!
java.lang.RuntimeException: 
java.io.NotSerializableException: DStream checkpointing has been enabled but the DStreams with their functions are not serializable
org.apache.beam.runners.spark.translation.EvaluationContext
Serialization stack:
        - object not serializable (class: org.apache.beam.runners.spark.translation.EvaluationContext, value: org.apache.beam.runners.spark.translation.EvaluationContext@a8c55d7)
        - field (class: org.apache.beam.runners.spark.translation.streaming.StreamingTransformTranslator$8$1, name: val$context, type: class org.apache.beam.runners.spark.translation.EvaluationContext)
        - object (class org.apache.beam.runners.spark.translation.streaming.StreamingTransformTranslator$8$1, org.apache.beam.runners.spark.translation.streaming.StreamingTransformTranslator$8$1@44f50940)
        - field (class: org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$transformToPair$1, name: transformFunc$3, type: interface org.apache.spark.api.java.function.Function)
        - object (class org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$transformToPair$1, <function1>)
        - field (class: org.apache.spark.streaming.dstream.DStream$$anonfun$transform$1$$anonfun$apply$21, name: cleanedF$2, type: interface scala.Function1)
        - object (class org.apache.spark.streaming.dstream.DStream$$anonfun$transform$1$$anonfun$apply$21, <function2>)
        - field (class: org.apache.spark.streaming.dstream.DStream$$anonfun$transform$2$$anonfun$5, name: cleanedF$3, type: interface scala.Function2)
        - object (class org.apache.spark.streaming.dstream.DStream$$anonfun$transform$2$$anonfun$5, <function2>)
        - writeObject data (class: org.apache.spark.streaming.dstream.DStreamCheckpointData)
        - object (class org.apache.spark.streaming.dstream.DStreamCheckpointData, [
0 checkpoint files 

])
....
        at org.apache.beam.runners.spark.SparkPipelineResult.runtimeExceptionFrom(SparkPipelineResult.java:60)
        at org.apache.beam.runners.spark.SparkPipelineResult.beamExceptionFrom(SparkPipelineResult.java:77)
        at org.apache.beam.runners.spark.SparkPipelineResult.waitUntilFinish(SparkPipelineResult.java:113)
        at org.apache.beam.runners.spark.TestSparkRunner.awaitWatermarksOrTimeout(TestSparkRunner.java:195)
        at org.apache.beam.runners.spark.TestSparkRunner.run(TestSparkRunner.java:127)
        at org.apache.beam.runners.spark.TestSparkRunner.run(TestSparkRunner.java:82)
        at org.apache.beam.sdk.Pipeline.run(Pipeline.java:210)
...



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