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https://issues.apache.org/jira/browse/FLINK-14124?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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YufeiLiu updated FLINK-14124:
-----------------------------
Description:
I have a job running in flink 1.4.2, end of the task is use Phoenix jdbc driver
write record into Apache Phoenix.
_mqStream
.keyBy(0)
.window(TumblingProcessingTimeWindows.of(Time.of(300,
TimeUnit.SECONDS)))
.process(new MyProcessWindowFunction())
.addSink(new PhoenixSinkFunction());_
But the TaskManager of sink subtask off-heap memory keep increasing, precisely
is might case by DirectByteBuffer.
I analyze heap dump, find there are hundreds of DirectByteBuffer object, each
of them reference to over 3MB memory address, they are all link to Flink Netty
Server Thread.
!image-2019-09-19-15-53-32-294.png!
It only happened in sink task, other nodes just work fine. I think is problem
of Phoenix at first, but heap dump show memory is consume by netty. I didn't
know much about flink network, I will be appreciated if someone can tell me the
might causation or how to dig further.
was:
I have a job running in flink 1.4.2, end of the task is use Phoenix jdbc driver
write record into Apache Phoenix.
_mqStream
.keyBy(0)
.window(TumblingProcessingTimeWindows.of(Time.of(300,
TimeUnit.SECONDS)))
.process(new MyProcessWindowFunction())
.addSink(new PhoenixSinkFunction());_
But the TaskManager of sink subtask off-heap memory keep increasing, precisely
is might case by DirectByteBuffer.
I analyze heap dump, find there are hundreds of DirectByteBuffer object, each
of them reference to over 3MB memory address, they are all link to Flink Netty
Server Thread.
!image-2019-09-19-15-53-32-294.png!
It only happened in sink task, other nodes just work fine. I think is problem
of Phoenix at first, but heap dump show memory is consume by netty. I didn't
know much about flink network, I will be appreciated if someone can tell me the
might causation or how to dig durther.
> potential memory leak in netty server
> -------------------------------------
>
> Key: FLINK-14124
> URL: https://issues.apache.org/jira/browse/FLINK-14124
> Project: Flink
> Issue Type: Improvement
> Components: Runtime / Network
> Affects Versions: 1.6.3
> Reporter: YufeiLiu
> Priority: Critical
> Attachments: image-2019-09-19-15-53-32-294.png
>
>
> I have a job running in flink 1.4.2, end of the task is use Phoenix jdbc
> driver write record into Apache Phoenix.
> _mqStream
> .keyBy(0)
> .window(TumblingProcessingTimeWindows.of(Time.of(300,
> TimeUnit.SECONDS)))
> .process(new MyProcessWindowFunction())
> .addSink(new PhoenixSinkFunction());_
> But the TaskManager of sink subtask off-heap memory keep increasing,
> precisely is might case by DirectByteBuffer.
> I analyze heap dump, find there are hundreds of DirectByteBuffer object, each
> of them reference to over 3MB memory address, they are all link to Flink
> Netty Server Thread.
> !image-2019-09-19-15-53-32-294.png!
> It only happened in sink task, other nodes just work fine. I think is problem
> of Phoenix at first, but heap dump show memory is consume by netty. I didn't
> know much about flink network, I will be appreciated if someone can tell me
> the might causation or how to dig further.
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