Thanks for the suggestion. 

I tried your second idea but it seems like running a terms aggregation on 
my shingles text field is a bit too much for ES. 
Even if it did work, it wouldn't have given me any data on adjacency / 
proximity.

[FIELDDATA] Data too large, data for [text.shingles] would be larger than 
limit of [623326003/594.4mb]]

{
   "size": 0,
   "aggregations": {
      "myAggregation": {
         "filter": {
            "query": {
               "query_string": {
                  "default_field": "text",
                  "query": "foo"
               }
            }
         },
         "aggregations": {
             "combos": {
                 "terms": { "field": "text.shingles" }
             }
         }
      }
   }
}


On Monday, February 23, 2015 at 5:01:59 AM UTC+1, David Pilato wrote:
>
> I don't see a way to do exactly what you are looking for.
> But, with a little effort on client you could give a try to the 
> highlighting feature which could give something similar.
>
> Or may be an aggregation with a first level agg as a filter for the term, 
> then a Terms agg on the field but with a shingle analyzer,
> Might give some results.
>
>
> HTH.
>
> --
> David ;-)
> Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs
>
> Le 23 févr. 2015 à 00:42, ja...@holderdeord.no <javascript:> a écrit :
>
> Hello,
>
> Does elasticsearch have the ability to return the most common *adjacent* 
> words for a given search query?
>
> That is, given some documents:
>
> {"text": "To be or not to be, that is the question"}
> {"text": "We know what we are, but know not what we may be"}
> {"text": "If music be the food of love, play on."}
>
> If I search for "be", I'd like to get back something like this:
>
> { "to be": 2 }
> { "may be": 1 }
> { "be or": 1 }
> { "music be": 1 }
> { "be the": 1 }
>
> I was looking at the phrase suggester, but couldn't make it do this (it 
> seems adamant about correcting the input text).
> If there's no way to do this currently, would it be feasible to write a 
> plugin to do so?
>
> Any advice is much appreciated.
>
> Jari
>
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