A simple AND query with Elasticsearch

Question

I am trying to do a simple query for two specified fields, and the manual and google is proving to be of little help. Example below should make it pretty clear what I want to do

Answer 1

If composing the json with PHP, these 2 examples worked for me.

$activeFilters is just a comma separated string like: 'attractions, limpopo'

$articles = Article::searchByQuery(array(
        'match' => array(
            'cf_categories' => array(
                'query' => $activeFilters,
                'operator' =>'and'
            )
        )
    ));

    // The below code is also working 100%
    // Using Query String https://www.elastic.co/guide/en/elasticsearch/reference/1.4/query-dsl-query-filter.html
    // https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-query-string-query.html
    /* $articles = Article::searchByQuery(array(
        'query_string' => array(
            'query' => 'cf_categories:attractions AND cf_categories:limpopo'
        )
    )); */

Answer 2

I found a solution for at least multiple text comparisons on the same field:

{
  "query": {
    "match": {
      "name.given_name": {
        "query": "daniel tyrone",
        "operator": "and"
      }
    }
  }

And I found this for multiple fields, is this the correct way?

{
  "query": {
    "bool": {
      "must": [        
        {
          "match": {
            "name.formatted": {
              "query": "daniel tyrone",
              "operator": "and"
            }
          }
        },
        {
          "match": {
            "display_name": "tyrone"
          }
        }
      ]
    }
  }
}

Answer 3

Edit: Updated, sorry. You need a separate Term object for each field, inside of a Bool query:

{
  "query": {
    "bool": {
        "must" : [
          {
           "term": {
             "name.family_name": "daniel"
           }
         },
         {
           "term": {
             "name.given_name": "tyrone"
           }
         }
       ]
     }
   }
}

Term queries are not analyzed by ElasticSearch, which makes them case sensitive. A Term query says to ES "look for this exact token inside your index, including case and punctuation".

If you want case insensitivity, you could add a keyword + lowercase filter to your analyzer. Alternatively, you could use a query that analyzes your text at query time (like a Match query)

Edit2: You could also use And or Bool filters too.