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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-7567) DataStream#iterate() on env.fromElements() / env.fromCollection() does not work
Date Thu, 14 Sep 2017 17:19:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-7567?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16166633#comment-16166633
] 

ASF GitHub Bot commented on FLINK-7567:
---------------------------------------

Github user mlipkovich commented on the issue:

    https://github.com/apache/flink/pull/4655
  
    The local build works fine. If you mean `mvn verify` by compatibility plugin it also worked
with no issues


> DataStream#iterate() on env.fromElements() / env.fromCollection() does not work
> -------------------------------------------------------------------------------
>
>                 Key: FLINK-7567
>                 URL: https://issues.apache.org/jira/browse/FLINK-7567
>             Project: Flink
>          Issue Type: Bug
>          Components: DataStream API
>    Affects Versions: 1.3.2
>         Environment: OS X 10.12.6, Oracle JDK 1.8.0_144, Flink 1.3.2
>            Reporter: Peter Ertl
>            Assignee: Mikhail Lipkovich
>
> When I try to execute this simple snippet of code
> {code}
>   @Test
>   def iterateOnElements(): Unit = {
>     val env = StreamExecutionEnvironment.getExecutionEnvironment
>     // do something silly just do get iteration going ...
>     val result = env.fromElements(1, 2, 3).iterate(it => {
>       (it.filter(_ > 0).map(_ - 1), it.filter(_ > 0).map(_ => 'x'))
>     })
>     result.print()
>     env.execute()
>   }
> {code}
> I get the following exception:
> {code}
> java.lang.UnsupportedOperationException: Parallelism of the feedback stream must match
the parallelism of the original stream. Parallelism of original stream: 1; parallelism of
feedback stream: 8
> 	at org.apache.flink.streaming.api.transformations.FeedbackTransformation.addFeedbackEdge(FeedbackTransformation.java:87)
> 	at org.apache.flink.streaming.api.datastream.IterativeStream.closeWith(IterativeStream.java:77)
> 	at org.apache.flink.streaming.api.scala.DataStream.iterate(DataStream.scala:519)
> 	at atp.analytics.CassandraReadTest.iterate2(CassandraReadTest.scala:134)
> 	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 org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
> 	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
> 	at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
> 	at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
> 	at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
> 	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
> 	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
> 	at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
> 	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
> 	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
> 	at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
> 	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
> 	at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
> 	at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
> 	at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:68)
> 	at com.intellij.rt.execution.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:47)
> 	at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:242)
> 	at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:70)
> {code}
> Since is just the simplest iterating stream setup I could imagine this error makes no
sense to me :-P



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