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https://issues.apache.org/jira/browse/FLINK-29845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17627523#comment-17627523
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Chesnay Schepler commented on FLINK-29845:
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Did you actually still see this issue 1.14.6 or a previous version?
> ThroughputCalculator throws java.lang.IllegalArgumentException: Time should
> be non negative under very low throughput cluster
> -----------------------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-29845
> URL: https://issues.apache.org/jira/browse/FLINK-29845
> Project: Flink
> Issue Type: Bug
> Components: Runtime / Network, Runtime / Task
> Affects Versions: 1.14.6
> Reporter: Jingxiao GU
> Priority: Major
>
> Our team are using Flink@1.14 to process data from Kafka.
> It works all fine unless the same job jar with same arguments deployed in an
> environment with{color:#FF0000} *very low kafka source throughput.*{color}
> The job crashed sometimes with the following Exception and could not be able
> to recover unless we restarted TaskManagers, which is unacceptable for a
> production environment.
> {code:java}
> [2022-10-31T15:33:57.153+08:00] [o.a.f.runtime.taskmanager.Task#cess
> (2/16)#244] - [WARN ] KeyedProcess (2/16)#244
> (b9b54f6445419fc43c4d58fcd95cee82) switched from RUNNING to FAILED with
> failure cause: java.lang.IllegalArgumentException: Time should be non negative
> at
> org.apache.flink.util.Preconditions.checkArgument(Preconditions.java:138)
> at
> org.apache.flink.runtime.throughput.ThroughputEMA.calculateThroughput(ThroughputEMA.java:44)
> at
> org.apache.flink.runtime.throughput.ThroughputCalculator.calculateThroughput(ThroughputCalculator.java:80)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.debloat(StreamTask.java:789)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.lambda$null$4(StreamTask.java:781)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$1.runThrowing(StreamTaskActionExecutor.java:50)
> at
> org.apache.flink.streaming.runtime.tasks.mailbox.Mail.run(Mail.java:90)
> at
> org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.processMailsWhenDefaultActionUnavailable(MailboxProcessor.java:338)
> at
> org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.processMail(MailboxProcessor.java:324)
> at
> org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:201)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:806)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:758)
> at
> org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:958)
> at
> org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:937)
> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:766)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:575)
> at java.lang.Thread.run(Thread.java:748)
> {code}
> After checking the source code roughly, we found if buffer debloating is
> disabled
> ([https://github.com/apache/flink/blob/release-1.14.6/flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/tasks/StreamTask.java#L427]
> ), the buffer debloater will still be scheduled
> ([https://github.com/apache/flink/blob/release-1.14.6/flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/tasks/StreamTask.java#L755]
> ) so that the {{ThrouputCalculator}} keeps calculating the throughput
> ([https://github.com/apache/flink/blob/release-1.14.6/flink-streaming-java/src/main/java/org/apache/flink/streaming/runtime/tasks/StreamTask.java#L789]
> ) which causes the division of zero and seems useless as i suppose.
> Currently, we tried to workaround by setting
> {{taskmanager.network.memory.buffer-debloat.period: 365d}} to avoid the
> buffer debloater being scheduled frequently causing the random crash.
> P.S. We found a bug with similar stacktrace
> https://issues.apache.org/jira/browse/FLINK-25454 which was fixed in 1.14.6.
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