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ASF GitHub Bot commented on FLINK-7567: --------------------------------------- GitHub user mlipkovich opened a pull request: https://github.com/apache/flink/pull/4655 [FLINK-7567]: Removed keepPartitioning parameter from iterate method ## What is the purpose of the change Removed parameter keepPartitioning from DataStream#iterate method since it's ignored. Also slightly modified error message related to different parallelism levels of input and feedback streams ## Brief change log - Removed parameter keepPartitioning from DataStream#iterate ## Verifying this change This change is a trivial rework / code cleanup without any test coverage. ## Does this pull request potentially affect one of the following parts: - Dependencies (does it add or upgrade a dependency): (yes / no) no - The public API, i.e., is any changed class annotated with `@Public(Evolving)`: (yes / no) yes - The serializers: (yes / no / don't know) no - The runtime per-record code paths (performance sensitive): (yes / no / don't know) no - Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Yarn/Mesos, ZooKeeper: (yes / no / don't know) no ## Documentation - Does this pull request introduce a new feature? (yes / no) no - If yes, how is the feature documented? (not applicable / docs / JavaDocs / not documented) not applicable You can merge this pull request into a Git repository by running: $ git pull https://github.com/mlipkovich/flink FLINK-7567 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/flink/pull/4655.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #4655 ---- commit 2525aef6f65d297142472ae6532e3bddb08df0fd Author: Mikhail Lipkovich <mikhail_lipkov...@epam.com> Date: 2017-09-07T14:05:22Z [FLINK-7567]: Removed keepPartitioning parameter from iterate method ---- > 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 -- This message was sent by Atlassian JIRA (v6.4.14#64029)