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From "Dmitry Golubets (JIRA)" <j...@apache.org>
Subject [jira] [Created] (FLINK-5652) Memory leak in AsyncDataStream
Date Thu, 26 Jan 2017 11:56:24 GMT
Dmitry Golubets created FLINK-5652:
--------------------------------------

             Summary: Memory leak in AsyncDataStream
                 Key: FLINK-5652
                 URL: https://issues.apache.org/jira/browse/FLINK-5652
             Project: Flink
          Issue Type: Bug
          Components: DataStream API
    Affects Versions: 1.3.0
            Reporter: Dmitry Golubets


When async operation timeout is > 0, the number of StreamRecordQueueEntry instances keeps
growing.

It can be easily reproduced with the following code:
{code:scala}
  val src: DataStream[Int] = env.fromCollection((1 to Int.MaxValue).iterator)
  
  val asyncFunction = new AsyncFunction[Int, Int] with Serializable {
    override def asyncInvoke(input: Int, collector: AsyncCollector[Int]): Unit = {
      collector.collect(List(input))
    }
  }
  
  AsyncDataStream.unorderedWait(src, asyncFunction, 0, TimeUnit.MINUTES, 1).print()
{code}



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