Elasticsearch : Full Text search

Till now, we did structured search on documents, it is time to perform full text search.

Get all employees whose hobby is “Reading books”.

GET /xyz/employees/_search
{
  "query": {
    "match": {
      "hobbies": "Reading books"
    }
  }
}

You will get following result.

{
   "took": 1,
   "timed_out": false,
   "_shards": {
      "total": 5,
      "successful": 5,
      "failed": 0
   },
   "hits": {
      "total": 2,
      "max_score": 0.2169777,
      "hits": [
         {
            "_index": "xyz",
            "_type": "employees",
            "_id": "2",
            "_score": 0.2169777,
            "_source": {
               "firstName": "Sankalp",
               "lastName": "Dubey",
               "hobbies": [
                  "Shopping",
                  "Swimming",
                  "Reading books"
               ],
               "age": 32
            }
         },
         {
            "_index": "xyz",
            "_type": "employees",
            "_id": "1",
            "_score": 0.13561106,
            "_source": {
               "firstName": "Phalgun",
               "lastName": "Garimella",
               "hobbies": [
                  "Watching movies",
                  "Stamp collection",
                  "Reading books",
                  "Playing Cricket"
               ],
               "age": 30
            }
         }
      ]
   }
}

Observe the field “_score” in the result.

For

document 2, "_score" value is  0.2169777

document 1 : "_score" value is  0.13561106

“_score” value specifies how well each document matches the query. If “_score” value is high, the document matches more, else less.

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