CODEWITHSUNDEEP
elasticsearch
redrubia
redrubia

Reputation: 2366

Finding fields Elasticsearch has matched on

I am using Elasticsearch to search for a group a user should join. I have the user data nested into the search query. On return I get back the closest matched group that user should be in.

The field I am searching on is a nested field as follows:

`{"interests": [
                {"topics":["python", "stackoverflow", "elasticsearch"]}, 
                {"topics":["arts", "textiles"]}
               ]}`

However if you want an understanding of a match - how do you do this?

Elasticsearch does have an explain function which says what the scoring is made up of using tfidf, but not specifically what terms were used.

For example, if I search for 'Textile', the doc should match on 'textiles'. Thus I want the term 'textiles' to be returned in explain or some other way.

The only way I see that provides this need, is to store the search and the document retrieved and then process both to discover words ES has most likely matched on.

EDIT - for some more clarity of the question

An example in my index of a group which has "interests": ['arts', 'fine arts', 'art painting', 'arts and crafts', 'sports']

Now my search, I am looking for Arts and many other things. Now the term I am searching for comes up in this list many times, thus should always be a contributor.

What I want in the response is to say these words were matched ['arts', 'fine arts', 'art painting', 'arts and crafts']along with the degree to which they match i..e 'arts' should be higher than the others, but all others are also relevant

Upvotes: 1

Views: 210

Answers (1)

Lee H
Lee H

Reputation: 5177

Elasticsearch allows you to specify the _name field for all queries and filters. This means that you can separate your query into different parts with separate names, which will allow you to determine which parts matched.

For example:

{
  "query" : {
      "bool" : {
          "should" : [
              {"match" : { "interests.topics" : {"query" : "python", "_name" : "py-topic"} }},
              {"match" : { "interests.topics" : {"query" : "arts", "_name" : "arts-topic"} }}
          ]
      }
  }
}

Then, in your response, you will get back any array of which queries (or filters) matched and you can determine if the py-topic query and/or the arts-topic query matched above.

Upvotes: 1

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