Dmitry Golubets created FLINK-5652:
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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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