Missed your last email. Ignore my suggestion and use the raw field:)
On Thu, Mar 13, 2014 at 8:50 AM, Nikolas Everett <nik9...@gmail.com> wrote:
> If you plan to do this frequently then go with the raw field. It'll be
> faster.
>
> If you want to fool around without changing any mappings then use a script
> filter to get the field from the _source. It isn't efficient at all. I'd
> suggest guarding it with a more efficient filter. Like so:
>
> "query": {
> "filtered": {
> "filter": {
> "and": [
> {
> "term": {
> "title": "filter"
> }
> },
> {
> "script": {
> "script": "_source['title'] == 'Filter'"
> }
> }
> ]
> }
> }
> }
>
>
> Nik
>
>
> On Thu, Mar 13, 2014 at 5:17 AM, Clinton Gormley <cl...@traveljury.com>wrote:
>
>>
>> Appreciate that Clint. But I was asking whether I could do without having
>>> to modify mappings - see ref to another post seemingly alluding to that
>>
>>
>> That post refers to using the keyword_repeat token filter to index
>> stemmed and unstemmed tokens in the same positions. It won't work for your
>> use case for exactly the reasons that you gave before:
>>
>> then _analyze still does not return "bob jr" as one of tokens for text
>>> "bob jr" - guessing because Standard tokenizer splits "bob jr" into "bob"
>>> and "jr" and thus "keyword_repeat" never sees "bob jr".
>>>
>>> On the other hand if I use "keyword" tokenizer than "bob jr" is the sole
>>> token returned (which probably means use case #1 won't be addressable).
>>> Also not clear what purpose would keyword_repeat serve in this case.
>>>
>>
>> Why don't you like the idea of using multi-fields? It solves your
>> problem correctly and easily.
>>
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