I assume you mean hardware threads?  What I want to avoid is a 
configuration setting. I want all the shards to execute in parallel. Not 
totally concerned about the physical hardware mapping as in practice this 
will be a few hundred nanoseconds :-P

On Thursday, January 29, 2015 at 4:09:15 PM UTC-8, Mark Walkom wrote:
>
> Each shard is queried in parallel.
> But if you don't have enough threads to query multiple shards at once, 
> then it's not the strict definition of parallel as it has to context switch.
>
> On 30 January 2015 at 11:05, Kevin Burton <[email protected] 
> <javascript:>> wrote:
>
>> Ha. I appreciate the feedback but this doesn't answer my question.
>>
>> Does it query them sequentially or in parallel.
>>
>> Using parallel dispatch can dramatically improve performance so I'm 
>> trying to track down how this works.
>>
>> and I'm aware  that the documentation was there, but I couldn't find 
>> anything where it explains how the client executes requests.  
>>
>> I might just have to dive into the source or get on the dev list.
>>
>> On Thursday, January 29, 2015 at 1:58:41 PM UTC-8, Mark Walkom wrote:
>>>
>>> ES queries each applicable shard when processing a query. The docs are 
>>> here - http://www.elasticsearch.org/guide/en/elasticsearch/
>>> reference/current/index.html
>>>
>>> A lot of your problem depends on your setup. Can you give us an overview 
>>> of your setup, both infra and data structure?
>>>
>>> On 30 January 2015 at 07:57, Kevin Burton <[email protected]> wrote:
>>>
>>>> I can't RTFM on this because I can't find the documentation.
>>>>
>>>> It looks like some of our queries are taking about 1 second per index 
>>>> shard per index.  
>>>>
>>>> However, the drives are still have low utilization.  Around 10% ... so 
>>>> I'm trying to figure out how to improve performance.  My hunch is that I 
>>>> can get ES to do parallel dispatch so that it can execute more queries in 
>>>> parallel which the SSDs we're using should be able to handle.
>>>>
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