WARNING: The 2.x versions of Elasticsearch have passed their EOL dates. If you are running a 2.x version, we strongly advise you to upgrade.

This documentation is no longer maintained and may be removed. For the latest information, see the current Elasticsearch documentation.

Elasticsearch: The Definitive Guide [2.x] » Search in Depth » Multifield Search » multi_match Query
« Tuning Best Fields Queries Most Fields »

multi_match Queryedit

The multi_match query provides a convenient shorthand way of running the same query against multiple fields.

There are several types of multi_match query, three of which just happen to coincide with the three scenarios that we listed in Know Your Data: best_fields, most_fields, and cross_fields.

By default, this query runs as type best_fields, which means that it generates a match query for each field and wraps them in a dis_max query. This dis_max query

{
  "dis_max": {
    "queries":  [
      {
        "match": {
          "title": {
            "query": "Quick brown fox",
            "minimum_should_match": "30%"
          }
        }
      },
      {
        "match": {
          "body": {
            "query": "Quick brown fox",
            "minimum_should_match": "30%"
          }
        }
      },
    ],
    "tie_breaker": 0.3
  }
}

could be rewritten more concisely with multi_match as follows:

{
    "multi_match": {
        "query":                "Quick brown fox",
        "type":                 "best_fields", 
        "fields":               [ "title", "body" ],
        "tie_breaker":          0.3,
        "minimum_should_match": "30%" 
    }
}

The best_fields type is the default and can be left out.

Parameters like minimum_should_match or operator are passed through to the generated match queries.

Using Wildcards in Field Namesedit

Field names can be specified with wildcards: any field that matches the wildcard pattern will be included in the search. You could match on the book_title, chapter_title, and section_title fields, with the following:

{
    "multi_match": {
        "query":  "Quick brown fox",
        "fields": "*_title"
    }
}

Boosting Individual Fieldsedit

Individual fields can be boosted by using the caret (^) syntax: just add ^boost after the field name, where boost is a floating-point number:

{
    "multi_match": {
        "query":  "Quick brown fox",
        "fields": [ "*_title", "chapter_title^2" ] 
    }
}

The chapter_title field has a boost of 2, while the book_title and section_title fields have a default boost of 1.
« Tuning Best Fields Queries Most Fields »