Hello Hourcade, Thanks for your response.

Does that mean different values should be set to "index_analyzer" and 
"search_analyzer"? (e.g. "index_analyzer": "shingle", and 
"search_analyzer": "standard")
What if I want to re-use the same "shingle" analyzer in both index and 
search? will the match_phrase "t1 t2 t3" still give me a match?

I know that set a different analyzer to "search_analyzer" makes 
match_phrase "t1 t2 t3" searchable, but if I do that, then I get no benefit 
from "shingle", right? Instead I get a bigger index size.

I assume "shingle" is used for faster "match_phrase" searches. But after 
shingle, searching a phrase of 3 tokens "t1 t2 t3" becomes searching a 
phrase of 5 tokens plus I don't know how "shingle" arranges the positions 
for a correct phrase query. So how can "match_phrase" be faster? Thank you.

Cédric Hourcade於 2014年6月20日星期五UTC+8下午4時18分03秒寫道:
>
> Hello, 
>
> Let's say you have an indexed text "t1 t3 t3" with shingles. The token 
> positions are also indexed, so you get : t1 (at pos 1), "t1 t2" (pos 
> 1), t2 (pos 2), "t2 t3" (pos 2) and t3 (pos 3). 
>
> So if you are searching with a match_phrase for "t1 t2 t3" (even if 
> not tokenized as shingles) it will matches the document, because t1, 
> t2 and t3 are considered next to each others (based on there recorded 
> position) for this document. 
>
> Cédric Hourcade 
> c...@wal.fr <javascript:> 
>
>
> On Fri, Jun 20, 2014 at 7:04 AM, 陳智清 <walke...@gmail.com <javascript:>> 
> wrote: 
> > How does shingle filter work on match_phrase in query phase? 
> > 
> > After analyzing phrase "t1 t2 t3", shingle filter produced five tokens, 
> >   t1 
> >   t2 
> >   t3 
> >   "t1 t2" 
> >   "t2 t3" 
> > 
> > Will match_phrase still give "t1 t2 t3" a match? How it works? Thank 
> you. 
> > 
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