Thanks for answering my questions. I also followed all these interesting
reading and learned a lot.
Cheers,
Jack

Jinyuan (Jack) Zhou


On Wed, Sep 3, 2014 at 10:02 AM, Ivan Brusic <[email protected]> wrote:

> The actual limitation in Java is compressed pointers:
>
>
> http://docs.oracle.com/javase/7/docs/technotes/guides/vm/performance-enhancements-7.html#compressedOop
>
> Thankfully Elasticsearch can run multiple nodes on the same server. Just
> pay attention to the direct size (off heap memory), mlockall settings and
> Lucene merge settings, as well as the allocation property referenced by
> David. Elasticsearch scales quite nicely vertically, so I would explore
> that option if possible.
>
> Cheers,
>
> Ivan
>
>
> On Wed, Sep 3, 2014 at 9:40 AM, vineeth mohan <[email protected]>
> wrote:
>
>> Hi ,
>>
>> I am not sure if there is anything related to ES that makes a high RAM
>> problematic , but in general very high memory is not advised in java
>> systems. One of the reasons being the cobra effect which stems from the
>> fact that garbage collection might need more time for higher memory.
>>
>> COBRA EFFECT -
>> https://plumbr.eu/blog/increasing-heap-size-beware-of-the-cobra-effect
>>
>> Thanks
>>             Vineeth
>>
>>
>> On Wed, Sep 3, 2014 at 10:04 PM, Jinyuan Zhou <[email protected]>
>> wrote:
>>
>>> I read somewhere that the ES_HEAP_SIZE  is best to be less than 31G, in
>>> this case JVM can use an 32 bit  number to  address memory locations.  If
>>> my server have about 64G ram. This seems a perfect. But what If I have a
>>> server with 128G RAM and sufficient CPU's.  Which configuration is better
>>> a) two nodes on server each with ES_HEAP_SIZE say  about 31G. b) one node
>>> on the server  with ES_HEAP_SIZE say 64G.
>>> Thanks,
>>>
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