Just saw that the query profiler can not show what the shard execution
times are, so maybe this is not a big help.

Jörg

On Tue, Sep 16, 2014 at 9:24 AM, joergpra...@gmail.com <
joergpra...@gmail.com> wrote:

> 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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