Hi Boaz,

Thanks for the information.

Cheers,
Jinal

On Tuesday, 18 February 2014 23:34:18 UTC+11, Boaz Leskes wrote:
>
> Hi Jinal,
>
> The overhead is marginal. ES initially constructs a filter based on the 
> incoming types and uses that while searching. The result of that fitler iis 
> also cached, so repetitive usage has even less overhead. 
>
> Note though that you will be search more data, so underlying query may 
> take longer simple by having to analyze more documents. However, roughly 
> speaking, querying one type with 1M docs is roughly identical to querying 
> 10 types with 100K docs each.
>
> Cheers,
> Boaz
>
> On Tuesday, February 18, 2014 4:55:08 AM UTC+1, Jinal Shah wrote:
>>
>> Hi,
>>
>> I have a question regarding the performance when elastic search query is 
>> executed over multiple types (for example 15) opposed to single type.
>>
>> If I run the following 2 queries on 10 million records, could someone 
>> give me the performance comparison or the execution flow of the queries?
>>
>> *Query 1:*
>> http://elasticsearch.server.com/index1/type1/_search?q=id:QW12ER
>>
>> *Query 2:*
>>
>> http://elasticsearch.server.com/index1/type1,type2,type3,type4,type5,type6,type7,type8,type9,type10,type11,type12,type13,type14,type15/_search?q=id:QW12ER
>>
>> The scenario I am trying to understand is, how much would be the 
>> performance hit if I try to run a query on multiple types.
>>
>> Thanks in advance.
>>
>> Cheers,
>> Jinal
>>
>>
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