gistfile1.json

Mapping 

state: open
settings: {
  index.analysis.analyzer.myEdgeNGramAnalyzer.filter.1: lowercase
	index.analysis.filter.myEdgeNGram.type: edgeNGram
	index.analysis.analyzer.myEdgeNGramAnalyzer.filter.0: standard
	index.analysis.analyzer.myEdgeNGramAnalyzer.filter.3: myEdgeNGram
	index.analysis.analyzer.myEdgeNGramAnalyzer.filter.2: asciifolding
	index.analysis.filter.myEdgeNGram.max_gram: 8
	index.analysis.filter.myEdgeNGram.min_gram: 2
	index.analysis.analyzer.myEdgeNGramAnalyzer.tokenizer: standard
	index.analysis.analyzer.myEdgeNGramAnalyzer.type: custom
	index.number_of_shards: 5
	index.number_of_replicas: 1
	index.version.created: 900099
}
mappings: {
	taxonomy: {
		properties: {
			category: {
				analyzer: myEdgeGNramAnalyzer
				boost: 5
				type: string
			}
			brand: {
				analyzer: myEdgeNGramAnalyzer
				boost: 3
				type: string
			}
			slug: {
				type: string
			}
		}
	}
}
aliases: []
}


-------------------------------------------

Query 

This is the query that I am executing. I have no other choice then querying on brand and category, as I don't know which type of information is searched by the user.

curl -X GET 'http://localhost:9200/dscuento_com/_search?pretty=true' -d '
 {
  "query": {
    "dis_max": {
      "queries": [
        {
          "field": {
            "brand": "Moda"
          }
        },
        {
          "field": {
            "category": "Moda"
          }
        }
      ]
    }
  }
}'

-------------------------------------------
Result 

{
  "took" : 23,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "hits" : {
    "total" : 9,
    "max_score" : 12.586615,
    "hits" : [ {
      "_index" : "dscuento_com",
      "_type" : "taxonomy",
      "_id" : "QYGfi7a5TCikkR3gPuaU9g",
      "_score" : 12.586615, "_source" : {"id":1, "category":"Moda","brand":"Kappa"}
    }, {
      "_index" : "dscuento_com",
      "_type" : "taxonomy",
      "_id" : "-Z1Li8oPSOGJLS-9H2bmDQ",
      "_score" : 10.339577, "_source" : {"id":90, "category":"Moda","brand":"Mazine"}
    }, {
      "_index" : "dscuento_com",
      "_type" : "taxonomy",
      "_id" : "Vbmzm0j7QPG-jDmoSvG0Bw",
      "_score" : 7.505477, "_source" : {"id":4,"category":"Moda"}
    }
    
    
    Here is actually my problem : I would like the third document having the highest score, as it only have the field "category" that matches and no other additional fields declared.