[jira] [Comment Edited] (KAFKA-6777) Wrong reaction on Out Of Memory situation

["Seweryn Habdank-Wojewodzki (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/KAFKA-6777?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16433799#comment-16433799 ] 

Seweryn Habdank-Wojewodzki edited comment on KAFKA-6777 at 4/11/18 12:14 PM:
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Thanks for comment.

The problem is, that either the OnOutOfMemoryError is never thrown, as the algorithms trying to do their best and they are loading GC, and then no message processing may happen.

Or the OnOutOfMemoryError is thrown, but caught in code like catch(Throwable) {}

The observed bahaviour is that at INFO level logs there is no explicit error like: OnOutOfMemoryError. 
I had seen in JMX metrics and there heap is out and GC is endless busy, till nothing is also to JMX reported.

I mean I can write a tool to reboot Kafka node, when GC load on CPU is higher than 40% or so, but this kind of tool is workaround and not a solution for the problem.

I am attaching graphs to highlight wat had happend.

On the image blow there are metrics from 2 Kafka nodes. The green one was dead/zombie when GC time reached 80%. This "drop" of value is only a presentation matter.

 !screenshot-1.png! 


was (Author: habdank):
Thanks for comment.

The problem is, that either the OnOutOfMemoryError is never thrown, as the algorithms trying to do their best and they are loading GC, and then no message processing may happen.

Or the OnOutOfMemoryError is thrown, but caught in code like catch(Throwable) {}

The observed bahaviour is that at INFO level logs there is no explicit error like: OnOutOfMemoryError. 
I had seen in JMX metrics and there heap is out and GC is endless busy, till nothing is also to JMX reported.

I mean I can write a tool to reboot Kafka node, when GC load on CPU is higher than 40% or so, but this kind of tool is workaround and not a solution for the problem.

I am attaching graphs to highlight wat had happend.

 !screenshot-1.png! 

> Wrong reaction on Out Of Memory situation
> -----------------------------------------
>
>                 Key: KAFKA-6777
>                 URL: https://issues.apache.org/jira/browse/KAFKA-6777
>             Project: Kafka
>          Issue Type: Bug
>          Components: core
>    Affects Versions: 1.0.0
>            Reporter: Seweryn Habdank-Wojewodzki
>            Priority: Critical
>         Attachments: screenshot-1.png
>
>
> Dears,
> We already encountered many times problems related to Out Of Memory situation in Kafka Broker and streaming clients.
> The scenario is the following.
> When Kafka Broker (or Streaming Client) is under load and has too less memory, there are no errors in server logs. One can see some cryptic entries in GC logs, but they are definitely not self-explaining.
> Kafka Broker (and Streaming Clients) works further. Later we see in JMX monitoring, that JVM uses more and more time in GC. In our case it grows from e.g. 1% to 80%-90% of CPU time is used by GC.
> Next, software collapses into zombie mode – process in not ending. In such a case I would expect, that process is crashing (e.g. got SIG SEGV). Even worse Kafka treats such a zombie process normal and somewhat sends messages, which are in fact getting lost, also the cluster is not excluding broken nodes. The question is how to configure Kafka to really terminate the JVM and not remain in zombie mode, to give a chance to other nodes to know, that something is dead.
> I would expect that in Out Of Memory situation JVM is ended if not graceful than at least process is crashed.



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