[BEAM-2112] Add support for PCollectionView in spark runner in streaming mode

• Type: New Feature
• Status: Resolved
• Priority: P2
• Resolution: Duplicate
• Fix Version/s: Not applicable
• Component/s: runner-spark
• Assignee: Unassigned
• Reporter: Etienne Chauchot
• Created: 28/Apr/17 13:34
• Updated: 16/May/20 13:53
• Resolved: 08/May/20 16:36

Description

As a test, Nexmark query7 can be used
run Nexmark query7 (https://github.com/iemejia/beam/tree/BEAM-160-nexmark) in streaming mode using Spark.
Run main in

org.apache.beam.integration.nexmark.drivers.NexmarkSparkDriver

with VMOptions:

 -Dspark.ui.enabled=false -DSPARK_LOCAL_IP=localhost -Dsun.io.serialization.extendedDebugInfo=true 

with Program arguments:

--query=7  --streaming=true --numEventGenerators=4 --manageResources=false --monitorJobs=true --enforceEncodability=false --enforceImmutability=false

StackTrace is

Exception in thread "main" java.lang.IllegalStateException: No TransformEvaluator registered for UNBOUNDED transform class org.apache.beam.sdk.transforms.View$CreatePCollectionView
	at com.google.common.base.Preconditions.checkState(Preconditions.java:518)
	at org.apache.beam.runners.spark.translation.streaming.StreamingTransformTranslator$Translator.translateUnbounded(StreamingTransformTranslator.java:529)
	at org.apache.beam.runners.spark.SparkRunner$Evaluator.translate(SparkRunner.java:435)
	at org.apache.beam.runners.spark.SparkRunner$Evaluator.doVisitTransform(SparkRunner.java:405)
	at org.apache.beam.runners.spark.SparkRunner$Evaluator.visitPrimitiveTransform(SparkRunner.java:395)
	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:488)
	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
	at org.apache.beam.sdk.runners.TransformHierarchy$Node.access$400(TransformHierarchy.java:232)
	at org.apache.beam.sdk.runners.TransformHierarchy.visit(TransformHierarchy.java:207)
	at org.apache.beam.sdk.Pipeline.traverseTopologically(Pipeline.java:384)
	at org.apache.beam.runners.spark.translation.streaming.SparkRunnerStreamingContextFactory.call(SparkRunnerStreamingContextFactory.java:88)
	at org.apache.beam.runners.spark.translation.streaming.SparkRunnerStreamingContextFactory.call(SparkRunnerStreamingContextFactory.java:47)
	at org.apache.spark.streaming.api.java.JavaStreamingContext$$anonfun$10.apply(JavaStreamingContext.scala:776)
	at org.apache.spark.streaming.api.java.JavaStreamingContext$$anonfun$10.apply(JavaStreamingContext.scala:775)
	at scala.Option.getOrElse(Option.scala:120)
	at org.apache.spark.streaming.StreamingContext$.getOrCreate(StreamingContext.scala:864)
	at org.apache.spark.streaming.api.java.JavaStreamingContext$.getOrCreate(JavaStreamingContext.scala:775)
	at org.apache.spark.streaming.api.java.JavaStreamingContext.getOrCreate(JavaStreamingContext.scala)
	at org.apache.beam.runners.spark.SparkRunner.run(SparkRunner.java:155)
	at org.apache.beam.runners.spark.SparkRunner.run(SparkRunner.java:85)
	at org.apache.beam.sdk.Pipeline.run(Pipeline.java:277)
	at org.apache.beam.integration.nexmark.NexmarkRunner.run(NexmarkRunner.java:1281)
	at org.apache.beam.integration.nexmark.NexmarkDriver.runAll(NexmarkDriver.java:69)
	at org.apache.beam.integration.nexmark.drivers.NexmarkSparkDriver.main(NexmarkSparkDriver.java:46)
	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 com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)

Issue Links

• duplicates: BEAM-1564 Support streaming side-inputs in the Spark runner.
• is related to: BEAM-160 Port 'NexMark Queries' to Beam for use as integration test