If you are sure the spikes are caused by the JVM, I recommend to attach a
profiler to the JVM, then you can monitor the code.

On JVM level, it is hard to trace queries, so maybe you want to test out
bleeding edge? Here is a query profiler:
https://github.com/elasticsearch/elasticsearch/pull/6699

Jörg

On Tue, Sep 16, 2014 at 2:24 AM, Craig Wittenberg <crai...@microsoft.com>
wrote:

> Hardware problems in Azure?  Hmm.  I suppose so :)
>
> In this case I restarted just ES (i.e., shutdown ES using
> http://localhost:9200/_cluster/nodes/_local/_shutdown and then ran
> elasticsearch.bat again) and thus didn't reboot the VM or anything so
> dramatic.  All of the ES node files remained in place and the node
> reconnected with the cluster with no issue.  My rdp session remained.  I
> suspect if this were a hardware issue a) we would have seen this long ago
> and b) it would have persisted after I restarted ES.
>
> Related, we actually have two clusters of the same size and same data that
> have exhibited the same behavior.  The cluster in which I restarted three
> ES nodes remains responsive.  The other cluster in which I have not (yet)
> restarted nodes remains with the highly variable response time (200-40000ms
> with 34415ms being a recent one).
>
> Thanks for replying.
>
> Craig.
>
> On Monday, September 15, 2014 2:58:22 PM UTC-7, Jörg Prante wrote:
>
>> You said you restarted a node, and since then, the effect has gone, is
>> that true? Such high spikes like 40sec response might indicate problems in
>> the hardware (disk failure, network latency or timeout, DNS), is this
>> possible?
>>
>> Jörg
>>
>>
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