Aggregate across doctype?

(Craig Ching) #1

Is it possible to aggregate across doctype? What I'm wanting to do is given doctypes of 'people', 'bears', 'lions, a search for 'leo' would find, say, the top 10 hits in each doctype of 'people', 'bears', 'lions'. Alternatively, I could add a doctype field to each document, but that seems wasteful.

(Camilo Sierra) #2

the problem is that you can not ask for a precise number of hist for each type, but you can use _msearch in msearch you can made 3 different request, one for each type in the same request HTTP. by this way you can be sure to have the same number of results at least for each type

(Craig Ching) #3

Oh, nice, I hadn't thought of that, thanks for the suggestion!

(Craig Ching) #4

I've run into a little snag with using _msearch. I realized that I also need suggest cross-doctype as well. Is there an equivalent for suggest?

(Camilo Sierra) #5

i never tried with suggest but the _msearch have the "search_type" this give you the possibility to use par example the _count API so you can test to do something like :

{"index" : "test", "search_type" : "suggest"}
{"query" : {"match_all" : {}}, "from" : 0, "size" : 10}

keep me posted if that works @cching ! :wink:

(Craig Ching) #6

I'll give that a try and post back. Thanks for your help!

(Craig Ching) #7

Using search_type:"suggest" does not work:

"error": "ElasticsearchIllegalArgumentException[No search type for [suggest]]",
"status": 400

Neither does using the _msearch endpoint with something like:

{ "suggest" : { "my-suggest" : { "text" : "n", "completion" : { "field" : "suggest" } } } }

Thanks for the help, though, it's much appreciated. Guess I might have to make multiple requests manually.

(system) #8