My app is index heavy so we are putting a lot of documents and also
searching in mean while (using it as datastore).
Most of the time the threads are stuck on merge if segments. Can you
suggest us some optimizations ?

Thanks ,
Arjit


On Thu, Jan 9, 2014 at 1:15 PM, David Pilato <[email protected]> wrote:

> Yeah 100000 documents is not that much!
> Not sure if you can notice a difference here as probably everything could
> be loaded in file system cache.
>
> --
> *David Pilato* | *Technical Advocate* | *Elasticsearch.com*
> @dadoonet <https://twitter.com/dadoonet> | 
> @elasticsearchfr<https://twitter.com/elasticsearchfr>
>
>
> Le 9 janvier 2014 at 08:43:13, Arjit Gupta 
> ([email protected]<//[email protected]>)
> a écrit:
>
> I have 100,000 documents  which are similar. In response I am getting the
> whole document not just Id.
> I am executing the query multiple times.
>
> Thanks ,
> Arjit
>
>
> On Thu, Jan 9, 2014 at 1:06 PM, David Pilato <[email protected]> wrote:
>
>>  You probably won't see any difference the first time you execute it
>> unless you are using warmers.
>>  With a second query, you should see the difference.
>>
>>  How many documents you have in your dataset?
>>
>>      --
>> *David Pilato* | *Technical Advocate* | *Elasticsearch.com*
>> @dadoonet <https://twitter.com/dadoonet> | 
>> @elasticsearchfr<https://twitter.com/elasticsearchfr>
>>
>>
>> Le 9 janvier 2014 at 06:14:06, Arjit Gupta 
>> ([email protected]<//[email protected]>)
>> a écrit:
>>
>>   Hi,
>>
>> I had implemented ES search query  for all our use cases but when i came
>> to know that some of our use cases can be solved by filters I implemented
>> that but I dont see any gain (in response time) in filters. My search
>> queries  are
>>
>> 1. Filter
>>
>> {
>>   "size" : 100,
>>   "query" : {
>>     "match_all" : { }
>>   },
>>   "filter" : {
>>     "bool" : {
>>       "must" : {
>>         "term" : {
>>           "color" : "red"
>>         }
>>       }
>>     }
>>   },
>>   "version" : true
>> }
>>
>>
>> 2. Query
>>
>> {
>>   "size" : 100,
>>   "query" : {
>>     "bool" : {
>>       "must" : {
>>         "match" : {
>>           "color" : {
>>             "query" : "red",
>>             "type" : "boolean",
>>             "operator" : "AND"
>>           }
>>         }
>>       }
>>     }
>>   },
>>   "version" : true
>> }
>>
>> By default the term query should be cached but I dont see a performance
>> gain.
>> Do i need to change some parameter also  ?
>> I am using ES  0.90.1 and with 16Gb of heap space given to ES.
>>
>> Thanks,
>> Arjit
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