Thanks Adrien for your reply.

I upgraded to ES 0.90.13. What I'm now noticing  is that the memory seems 
to continuously increase when running the query again and again.
I also noticed that after upgrading it started using OpenJDK 1.6_0.33. So I 
switched back to using Oracle JDK 1.7.71 however the issue seems to persist.


On Friday, November 21, 2014 10:57:09 PM UTC+5:30, Adrien Grand wrote:
>
> One difference is that the store is compressed while the structure of the 
> response that is built into memory is not (and potentially very wasteful).
>
> The doc-by-doc comparison is done by the post-filter: for every document 
> that matches the query, the filter is evaluated in order to know whether it 
> matches or not. On the other hand, when a filter is in the query (either 
> under a constant_score or a filtered_query), it can efficiently jump to the 
> next matches using the inverted index.
>
> If you want to export your index, a more efficient way would be to use the 
> `scan` search type: 
> http://www.elasticsearch.org/guide/en/elasticsearch/guide/current/scan-scroll.html.
>  
> It basically opens a cursor that you can iterate on, as opposed as trying 
> to get everything at once.
>
> On Fri, Nov 21, 2014 at 4:43 PM, Ajay Divakaran <[email protected] 
> <javascript:>> wrote:
>
>> Each document has around 350 text fields.
>>
>> But im still not able to relate the store size to the memory spike.
>>
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>
>
> -- 
> Adrien Grand
>  

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