"node" is referring to "individual data node". Currently "Reduce" is only 
done once on the "Client Node", not on each individual data node. 

I am just wondering how scalable it is for analytics with current 
architecture. I would like to hear if anyone had any experience.


On Tuesday, December 16, 2014 8:57:28 AM UTC-5, Adrien Grand wrote:
>
> What you mean with "node level reduce"?
>
> On Mon, Dec 15, 2014 at 10:52 PM, Yifan Wang <yifan.w...@gmail.com 
> <javascript:>> wrote:
>>
>> If I understand correctly, ElasticSearch directly sends query to and 
>> collects aggregated results from each shard. With number of shards 
>> increases, Reduce phase on the Client node will become overwhelmed. 
>>
>> One would assume, if ElasticSearch support node level aggregation, the 
>> "Reduce" becomes distributed so Client node will not become overwhelmed for 
>> large clusters with lots of shards. I am wondering if ElasticSearch 
>> supports node level reduce. If not, why? I think this is critical if we 
>> like ElasticSearch to be truly scalable for analytics. 
>>
>> Thanks.
>>
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>
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> Adrien Grand
>  

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