If such latency worries you, use in-memory structures to pull the original
documents based on the IDs of the results. Your dataset is small enough to
do that, really. But I suspect this is premature optimization that you are
trying to do.

--

Itamar Syn-Hershko
http://code972.com | @synhershko <https://twitter.com/synhershko>
Freelance Developer & Consultant
Author of RavenDB in Action <http://manning.com/synhershko/>


On Wed, Jan 15, 2014 at 5:56 PM, Arik Gaisler <[email protected]> wrote:

> Thanks Itamar
>
> Im also seeing that the refresh is pretty high137.4ms
>
> Another factor is that the fetch times are constantly growing - while the
> query times are cinctantly the same
>
> Arik
>
>
> On Wednesday, January 15, 2014 5:33:51 PM UTC+2, Itamar Syn-Hershko wrote:
>
>> I believe this makes sense then - search is entirely in-memory operation
>> (after a certain warm up), and fetch involves disk IO. Try keep your docs
>> as small as possible and don't disable _source, but other than that you're
>> bounded by the speed of your disks.
>>
>> --
>>
>> Itamar Syn-Hershko
>> http://code972.com | @synhershko <https://twitter.com/synhershko>
>> Freelance Developer & Consultant
>> Author of RavenDB in Action <http://manning.com/synhershko/>
>>
>>
>> On Wed, Jan 15, 2014 at 5:31 PM, Arik Gaisler <[email protected]> wrote:
>>
>>> We are doing a query then fetch serach type
>>>
>>>
>>> On Wednesday, January 15, 2014 4:48:58 PM UTC+2, Itamar Syn-Hershko
>>> wrote:
>>>
>>>> What is the query type you are using? http://www.elasticsearc
>>>> h.org/guide/en/elasticsearch/reference/current/search-request-search-
>>>> type.html
>>>>
>>>> --
>>>>
>>>> Itamar Syn-Hershko
>>>> http://code972.com | @synhershko <https://twitter.com/synhershko>
>>>> Freelance Developer & Consultant
>>>> Author of RavenDB in Action <http://manning.com/synhershko/>
>>>>
>>>>
>>>> On Wed, Jan 15, 2014 at 4:45 PM, Arik Gaisler <[email protected]>wrote:
>>>>
>>>>>  Im using ElasticHQ to monitor our cluster and I am noticing that our
>>>>> Search Fetch times are about 5X more then query times, which seems
>>>>> unreasonable (20ms vs ~4ms)
>>>>>
>>>>> Im also noticing a 1.44 mb swap space on one of the nodes (the other
>>>>> node is at 0)
>>>>>
>>>>> We're using a 2 node cluster, 2 shards 1 replica on EC2 m1.small
>>>>> instances
>>>>>
>>>>> Our index contains about 27K docs, total size of ~ 60mb (pretty small
>>>>> - hence the small instance)
>>>>>
>>>>> Any suggestions to why?
>>>>>
>>>>> Arik
>>>>>
>>>>> --
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