Bool Queryedit

A query that matches documents matching boolean combinations of other queries. The bool query maps to Lucene BooleanQuery. It is built using one or more boolean clauses, each clause with a typed occurrence. The occurrence types are:

Occur Description

must

The clause (query) must appear in matching documents and will contribute to the score.

filter

The clause (query) must appear in matching documents. However unlike must the score of the query will be ignored.

should

The clause (query) should appear in the matching document. In a boolean query with no must or filter clauses, one or more should clauses must match a document. The minimum number of should clauses to match can be set using the minimum_should_match parameter.

must_not

The clause (query) must not appear in the matching documents.

Bool query in filter context

If this query is used in a filter context and it has should clauses then at least one should clause is required to match.

The bool query also supports disable_coord parameter (defaults to false). Basically the coord similarity computes a score factor based on the fraction of all query terms that a document contains. See Lucene BooleanQuery for more details.

The bool query takes a more-matches-is-better approach, so the score from each matching must or should clause will be added together to provide the final _score for each document.

{
    "bool" : {
        "must" : {
            "term" : { "user" : "kimchy" }
        },
        "filter": {
            "term" : { "tag" : "tech" }
        },
        "must_not" : {
            "range" : {
                "age" : { "from" : 10, "to" : 20 }
            }
        },
        "should" : [
            {
                "term" : { "tag" : "wow" }
            },
            {
                "term" : { "tag" : "elasticsearch" }
            }
        ],
        "minimum_should_match" : 1,
        "boost" : 1.0
    }
}

Scoring with bool.filteredit

Queries specified under the filter element have no effect on scoring — scores are returned as 0. Scores are only affected by the query that has been specified. For instance, all three of the following queries return all documents where the status field contains the term active.

This first query assigns a score of 0 to all documents, as no scoring query has been specified:

GET _search
{
  "query": {
    "bool": {
      "filter": {
        "term": {
          "status": "active"
        }
      }
    }
  }
}

This bool query has a match_all query, which assigns a score of 1.0 to all documents.

GET _search
{
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      },
      "filter": {
        "term": {
          "status": "active"
        }
      }
    }
  }
}

This constant_score query behaves in exactly the same way as the second example above. The constant_score query assigns a score of 1.0 to all documents matched by the filter.

GET _search
{
  "query": {
    "constant_score": {
      "filter": {
        "term": {
          "status": "active"
        }
      }
    }
  }
}

Using named queries to see which clauses matchededit

If you need to know which of the clauses in the bool query matched the documents returned from the query, you can use named queries to assign a name to each clause.