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Posted to commits@beam.apache.org by "Amit Sela (JIRA)" <ji...@apache.org> on 2017/04/05 10:34:41 UTC
[jira] [Updated] (BEAM-1737) Implement a Single-output ParDo as a
Multi-output ParDo with a single output
[ https://issues.apache.org/jira/browse/BEAM-1737?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Amit Sela updated BEAM-1737:
----------------------------
Summary: Implement a Single-output ParDo as a Multi-output ParDo with a single output (was: Interpreting a Single-output ParDo as a Multi-output ParDo with a single output causes serialization failures)
> Implement a Single-output ParDo as a Multi-output ParDo with a single output
> ----------------------------------------------------------------------------
>
> Key: BEAM-1737
> URL: https://issues.apache.org/jira/browse/BEAM-1737
> Project: Beam
> Issue Type: Bug
> Components: runner-spark
> Reporter: Thomas Groh
> Assignee: Amit Sela
> 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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