Thanks Nikolas for clarification.
Do you think there would be any difference in performance between the two,
given that I would always be searching full text or matching phrase using
match_phrase for the partial matching?

Please advise.

On Tue, Mar 3, 2015 at 12:36 PM, Nikolas Everett <[email protected]> wrote:

>
>
> On Tue, Mar 3, 2015 at 1:02 PM, Sagar Shah <[email protected]>
> wrote:
>
> Hello everyone,
>> I am working on a defining a mapping in elastic search, which can have
>> few fields on the fly. I can define the types & index using dynamic
>> templates, but I would like to know the difference between following two
>> and which one is preferred over the other.
>> I do not want to break down the string into tokens but use it in single
>> complete string
>>
>> Option 1. Field Index : not_analyzed
>> Option 2. Field Index:  customer analyzer with no tokenizer
>>
>> Are there any performance differences for the above two approaches?
>> How does the 2nd option works (A custom analyzer with no tokenizer)? and
>> how can I create mapping for the same?
>>
>>
> I believe if you leave the tokenizer out you get the StandardTokenizer.
> Its very different from not_analyzed.  not_analyzed is like "don't break
> this up - don't change it at all - I'm going to search for it _exactly_ how
> I send it to you".  I believe the standard tokenizer does icu word
> segmentation: http://unicode.org/reports/tr29/ .
>
> Nik
>
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Regards,
Sagar Shah

Too many people think more of security instead of opportunity. They seem
more afraid of life than death!!!

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