Thanks for replying.
So basically by making those 3 int counters inside child i will only 
reindex those 3 ints yes ?
Dataset for now is around 50k documents. 
Then what's the performance of only reindexing 2-3 ints on lets say 
performance of  Xeon E3-1230 v3 or any E5 or i7 etc or any other cpu. I 
would like an estimate, just to know if we are talking about ~50k updates 
per sec or ~10k or ~1k depending on cpu. Just an estimate would be really 
helpful.

On Saturday, March 28, 2015 at 6:50:45 AM UTC+1, Mark Walkom wrote:
>
> Performance is based on your dataset, you'd have to test it yourself.
>
> Ideally you want to separate hot and cold data, so that when you do update 
> you don't need to reindex the whole document (which is what an update does 
> in ES).
> You can do this via parent/child relationships, or having two indices with 
> each part of the doc that you then join them externally, as two examples.
>
> On 28 March 2015 at 16:27, Lorne Sorn <dulo...@gmail.com <javascript:>> 
> wrote:
>
>> Hello,
>>
>> I have a multiple field structure in which i have 2-3 fields with text 
>> that will be searchable and besides that i have 3 very write intensive 
>> fields (counters) in this structure. Those fields will only need to be 
>> visible in results but will not be a part of the search query. How to 
>> update those counters in the most efficient way ? So without reindexing 
>> anything etc.  How to handle them best? What kind of performance (updates 
>> per second) we are talking about on updating those counters lets say on one 
>> Xeon E3-1230 v3 or any other cpu? 
>>
>> Kind regards.
>>
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