elasticsearch/docs/reference/query-dsl/distance-feature-query.asciidoc

[[query-dsl-distance-feature-query]]
=== Distance feature query
++++
<titleabbrev>Distance feature</titleabbrev>
++++

Boosts the <<relevance-scores,relevance score>> of documents closer to a
provided `origin` date or point. For example, you can use this query to give
more weight to documents closer to a certain date or location.

You can use the `distance_feature` query to find the nearest neighbors to a
location. You can also use the query in a <<query-dsl-bool-query,`bool`>>
search's `should` filter to add boosted relevance scores to the `bool` query's
scores.


[[distance-feature-query-ex-request]]
==== Example request

[[distance-feature-index-setup]]
===== Index setup
To use the `distance_feature` query, your index must include a <<date, `date`>>,
<<date_nanos, `date_nanos`>> or <<geo-point,`geo_point`>> field.

To see how you can set up an index for the `distance_feature` query, try the
following example.

. Create an `items` index with the following field mapping:
+
--

* `name`, a <<keyword,`keyword`>> field
* `production_date`, a <<date, `date`>> field
* `location`, a <<geo-point,`geo_point`>> field

[source,js]
----
PUT /items
{
  "mappings": {
    "properties": {
      "name": {
        "type": "keyword"
      },
      "production_date": {
        "type": "date"
      },
      "location": {
        "type": "geo_point"
      }
    }
  }
}
----
// CONSOLE
// TESTSETUP
--

. Index several documents to this index.
+
--
[source,js]
----
PUT /items/_doc/1?refresh
{
  "name" : "chocolate",
  "production_date": "2018-02-01",
  "location": [-71.34, 41.12]
}

PUT /items/_doc/2?refresh
{
  "name" : "chocolate",
  "production_date": "2018-01-01",
  "location": [-71.3, 41.15]
}


PUT /items/_doc/3?refresh
{
  "name" : "chocolate",
  "production_date": "2017-12-01",
  "location": [-71.3, 41.12]
}
----
// CONSOLE
--


[[distance-feature-query-ex-query]]
===== Example queries

[[distance-feature-query-date-ex]]
====== Boost documents based on date
The following `bool` search returns documents with a `name` value of
`chocolate`. The search also uses the `distance_feature` query to increase the
relevance score of documents with a `production_date` value closer to `now`.

[source,js]
----
GET /items/_search
{
  "query": {
    "bool": {
      "must": {
        "match": {
          "name": "chocolate"
        }
      },
      "should": {
        "distance_feature": {
          "field": "production_date",
          "pivot": "7d",
          "origin": "now"
        }
      }
    }
  }
}
----
// CONSOLE

[[distance-feature-query-distance-ex]]
====== Boost documents based on location
The following `bool` search returns documents with a `name` value of
`chocolate`. The search also uses the `distance_feature` query to increase the
relevance score of documents with a `location` value closer to `[-71.3, 41.15]`.

[source,js]
----
GET /items/_search
{
  "query": {
    "bool": {
      "must": {
        "match": {
          "name": "chocolate"
        }
      },
      "should": {
        "distance_feature": {
          "field": "location",
          "pivot": "1000m",
          "origin": [-71.3, 41.15]
        }
      }
    }
  }
}
----
// CONSOLE


[[distance-feature-top-level-params]]
==== Top-level parameters for `distance_feature`
`field`::
(Required, string) Name of the field used to calculate distances. This field
must meet the following criteria:

* Be a <<date, `date`>>, <<date_nanos, `date_nanos`>> or
<<geo-point,`geo_point`>> field
* Have an <<mapping-index,`index`>> mapping parameter value of `true`, which is
the default
* Have an <<doc-values,`doc_values`>> mapping parameter value of `true`, which
is the default

`origin`::
+
--
(Required, string) Date or point of origin used to calculate distances.

If the `field` value is a <<date, `date`>> or <<date_nanos, `date_nanos`>>
field, the `origin` value must be a <<date-format-pattern,date>>.
<<date-math,Date Math>>, such as `now-1h`, is supported.

If the `field` value is a <<geo-point,`geo_point`>> field, the `origin` value
must be a geopoint.
--

`pivot`::
+
--
(Required, <<time-units,time unit>> or <<distance-units,distance unit>>)
Distance from the `origin` at which relevance scores receive half of the `boost`
value.

If the `field` value is a <<date, `date`>> or <<date_nanos, `date_nanos`>>
field, the `pivot` value must be a <<time-units,time unit>>, such as `1h` or
`10d`.

If the `field` value is a <<geo-point,`geo_point`>> field, the `pivot` value
must be a <<distance-units,distance unit>>, such as `1km` or `12m`.
--

`boost`::
+
--
(Optional, float) Floating point number used to multiply the
<<relevance-scores,relevance score>> of matching documents. This value
cannot be negative. Defaults to `1.0`.
--


[[distance-feature-notes]]
==== Notes

[[distance-feature-calculation]]
===== How the `distance_feature` query calculates relevance scores
The `distance_feature` query dynamically calculates the distance between the
`origin` value and a document's field values. It then uses this distance as a
feature to boost the <<relevance-scores,relevance score>> of closer
documents.

The `distance_feature` query calculates a document's
<<relevance-scores,relevance score>> as follows:

```
relevance score = boost * pivot / (pivot + distance)
```

The `distance` is the absolute difference between the `origin` value and a
document's field value.

[[distance-feature-skip-hits]]
===== Skip non-competitive hits
Unlike the <<query-dsl-function-score-query,`function_score`>> query or other
ways to change <<relevance-scores,relevance scores>>, the
`distance_feature` query efficiently skips non-competitive hits when the
<<search-uri-request,`track_total_hits`>> parameter is **not** `true`.