I should also mention that machine which is now low on memory and how 
gotten worse, is suffering form high CPU usage too which comes right on 
time with the memory getting low.

It's a 4 core machine.  Google compute engine - n1-highmem-4.

On Friday, July 25, 2014 1:19:24 PM UTC-4, Daniel Schonfeld wrote:
>
> CoreOS, 367.1.0.  Docker 1.0.1 and ES 1.2.2
>
> I don't know if it matters but we are using this plugin which is not 
> written by elasticsearch: 
> https://github.com/Asquera/elasticsearch-http-basic
>
> On Friday, July 25, 2014 11:02:40 AM UTC-4, Jörg Prante wrote:
>>
>> What OS / version is this?
>>
>> Jörg
>>
>>
>> On Fri, Jul 25, 2014 at 4:10 PM, Daniel Schonfeld <[email protected]> 
>> wrote:
>>
>>> Hello,
>>>
>>> So I've replaced some machines we had with more memory and it seems to 
>>> have helped but I'm starting to see some high memory usage on one of the 
>>> machines.  What I don't understand and can't figure out is where that 
>>> memory is being used?
>>>
>>> We have 26GB RAM, allocating 13.5G for the ES_HEAP_SIZE.  Looking at 
>>> `top` it currently shows the java process to be using (RES) 22G and using 
>>> `free` I confirm that there is only 3172M available.
>>>
>>> One would conclude that ES is using it all as shown by top.  And yes 
>>> that makes sense, but it's not translating to performance of my queries by 
>>> caching them and even more so, when I look in marvel I see the following 
>>> stats for that one node.  
>>>
>>> JVM Heap Usage: 36%
>>> OS Memory: 87%
>>>
>>> And here's the interesting parts:
>>>
>>> Indices Field Data: 427,577,836
>>> Indices Filter Cache: 54,641,296
>>> Indices Lucene Memory: 308,679,803
>>>
>>> Field Data Circuit Breaker Estimated Size: 428,615,926
>>> No field data evictions at all. 0.00
>>>
>>> So where then is all my memory being used? This doesn't add up to 22GB - 
>>> not even close.
>>>
>>> Thanks for all your help!
>>> Daniel
>>>
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>>

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