Elasticsearch：对嵌套字段的多重匹配查询

Question

I am having a problem with multi-match query in RoR. I have Elastic Search configured and working however I am working on setting up aggregations which so far seem to work, but for whatever reason I am not able to search on the field which I am aggregating. This is the extract from my model:

    settings :index => { :number_of_shards => 1 } do
        mapping do
          indexes :id, index: :not_analyzed
          indexes :name
          indexes :summary
          indexes :description

          indexes :occasions, type: 'nested' do
            indexes :id, type: 'integer'
            indexes :occasion_name, type: 'string', index: :not_analyzed

           ... 

          end
        end
      end




  def as_indexed_json(options = {})
    self.as_json(only: [:id, :name, :summary, :description],
                 include: {
                     occasions:           { only: [:id, :occasion_name] },
                     courses:             { only: [:id, :course_name] },
                     allergens:           { only: [:id, :allergen_name] },
                     cookingtechniques:   { only: [:id, :name] },
                     cuisine:             { only: [:id, :cuisine_name]}
                 })
  end


class << self
    def custom_search(query)
      __elasticsearch__.search(query: multi_match_query(query), aggs: aggregations)
    end


    def multi_match_query(query)
      {
          multi_match:
          {
              query: query,
              type: "best_fields",
              fields: ["name^9", "summary^8", "cuisine_name^7", "description^6", "occasion_name^6", "course_name^6", "cookingtechniques.name^5"],
              operator: "and"
          }
      }
    end

I am able to search on all fields as specified in the multi_match_query apart of "occasion_name" which happens to be the field I am aggregating. I have checked that the field is correctly indexed (using elastic search-head plugin). I am also able to display the facets with the aggregated occasion_names in my view. I tried everything I can think of, including removing the aggregation and searching on occasion_name, but still no luck. (I am using the elasticsearch-rails gem)

Any help will be much appreciated.

Edit:

I got this ES query from rails:

@search=
  #<Elasticsearch::Model::Searching::SearchRequest:0x007f91244df460
   @definition=
    {:index=>"recipes",
     :type=>"recipe",
     :body=>
      {:query=>
        {:multi_match=>
          {:query=>"Christmas",
           :type=>"best_fields",
           :fields=>["name^9", "summary^8", "cuisine_name^7", "description^6", "occasion_name^6", "course_name^6", "cookingtechniques.name^5"],
           :operator=>"and"}},
       :aggs=>
        {:occasion_aggregation=>
          {:nested=>{:path=>"occasions"}, :aggs=>{:id_and_name=>{:terms=>{:script=>"doc['occasions.id'].value + '|' + doc['occasions.occasion_name'].join(' ')", :size=>35}}}}}}},

This is an example of all that gets indexed for 1 of my dummy recipes I use for testing (the contents are meaningless - I use this only for testing):

{
"_index": "recipes",
"_type": "recipe",
"_id": "7",
"_version": 1,
"_score": 1,
"_source": {
"id": 7,
"name": "Mustard-stuffed chicken",
"summary": "This is so good we'd be surprised if this chicken fillet recipe doesn't become a firm favourite. Save it to your My Good Food collection and enjoy",
"description": "Heat oven to 200C/fan 180C/gas 6. Mix the cheeses and mustard together. Cut a slit into the side of each chicken breast, then stuff with the mustard mixture. Wrap each stuffed chicken breast with 2 bacon rashers – not too tightly, but enough to hold the chicken together. Season, place on a baking sheet and roast for 20-25 mins.",
"occasions": [
{
"id": 9,
"occasion_name": "Christmas"
}
,
{
"id": 7,
"occasion_name": "Halloween"
}
,
{
"id": 8,
"occasion_name": "Bonfire Night"
}
,
{
"id": 10,
"occasion_name": "New Year"
}
],
"courses": [
{
"id": 9,
"course_name": "Side Dish"
}
,
{
"id": 7,
"course_name": "Poultry"
}
,
{
"id": 8,
"course_name": "Salad"
}
,
{
"id": 10,
"course_name": "Soup"
}
],
"allergens": [
{
"id": 6,
"allergen_name": "Soya"
}
,
{
"id": 7,
"allergen_name": "Nut"
}
,
{
"id": 8,
"allergen_name": "Other"
}
,
{
"id": 1,
"allergen_name": "Dairy"
}
],
"cookingtechniques": [
{
"id": 15,
"name": "Browning"
}
],
"cuisine": {
"id": 1,
"cuisine_name": "African"
}
}
}

EDIT 2:

I managed to make the search work for occasions as suggested by @rahulroc, but now I can't search on anything else...

    def multi_match_query(query)
  {
      nested:{
           path: 'occasions',
          query:{
      multi_match:
      {
          query: query,
          type: "best_fields",
          fields: ["name^9", "summary^8", "cuisine_name^7", "description^6", "occasion_name^6", "course_name^6", "cookingtechniques.name^5"],
          operator: "and"
      }
    }

      }
  }
end

UPDATE: Adding multiple nested fields - I am trying to add the rest of my aggregations but I am facing similar problem as before. My end goal will be to use the aggregations as filters so I need to add about 4 more nested fields to my query (I also would like to have the fields searchable) Here is the working query as provided by @rahulroc + the addition of another nested field which I can't search on. As before in terms of indexing everything is working and I can display the aggregations for the newly added field, but I can't search on it. I tried different variations of this query but I couldn't make it work (the rest of the fields are still working and searchable - the problem is just the new field):

 def multi_match_query(query)
      {

        bool: {
            should: [
                {
                    nested:{
                        path: 'occasions',
                        query: {
                            multi_match:
                            {
                                      query: query,
                                      type: "best_fields",
                                      fields: ["occasion_name"]

                                  }
                        }
                    }
                },

                {
                    nested:{
                        path: 'courses',
                        query: {
                            multi_match:
                                {
                                    query: query,
                                    type: "best_fields",
                                    fields: ["course_name"]

                                }
                        }
                    }
                },

                {
                    multi_match: {
                        query: query,
                        fields:["name^9", "summary^8", "cuisine_name^7", "description^6"],

                    }
                }
            ]
        }


      }
    end

Answer 1

You need to create a separate nested clause for matching a nested field

"query": {
    "bool": {
        "should": [
            {
                "nested": {
                    "path": "occassions",
                    "query": {
                        "multi_match": {
                            "query": "Christmas",
                            "fields": ["occassion_name^2"]
                        }
                    }
                } 
            },
            {
                "multi_match": {
                    "query": "Christmas",
                    "fields":["name^9", "summary^8", "cuisine_name^7", "description^6","course_name^6"]                }
            }
        ]
    }
}