OpenSearch/docs/reference/mapping/fields/all-field.asciidoc

[[mapping-all-field]]
=== `_all` field

The `_all` field is a special _catch-all_ field which concatenates the values of
all of the other string fields into one big string, using space as a delimiter,
which is then <<analysis,analyzed>> and indexed, but not stored. This means that
it can be searched, but not retrieved.

The `_all` field allows you to search for string values in documents without
knowing which field contains the value. This makes it a useful option when
getting started with a new dataset. For instance:

[source,js]
--------------------------------
PUT my_index/user/1 <1>
{
  "first_name":    "John",
  "last_name":     "Smith",
  "place_of_birth": "New York City"
}

GET my_index/_search
{
  "query": {
    "match": {
      "_all": "john smith new york"
    }
  }
}
--------------------------------
// CONSOLE
<1> The `_all` field will contain the terms: [ `"john"`, `"smith"`, `"new"`, `"york"`, `"city"` ]

[NOTE]
.Only string values are added to _all
=============================================================================

If a `date_of_birth` field mapped as a date were used, or an `age` field that
was an integer were added, they would not be included in the `_all` field, as
`_all` only contains content from _string_ fields.

It is important to note that the `_all` field combines the original values
from each field as a string. It does not combine the _terms_ from each field.

=============================================================================

The `_all` field is just a <<text,`text`>> field, and accepts the same
parameters that  other string fields accept, including `analyzer`,
`term_vectors`, `index_options`, and `store`.

The `_all` field can be useful, especially when exploring new data using
simple filtering.  However, by concatenating field values into one big string,
the `_all` field loses the distinction between short fields (more relevant)
and long fields (less relevant). For use cases where search relevance is
important, it is better to query individual fields specifically.

The `_all` field is not free: it requires extra CPU cycles and uses more disk
space. If not needed, it can be completely <<disabling-all-field,disabled>> or
customised on a <<include-in-all,per-field basis>>.

[[querying-all-field]]
==== Using the `_all` field in queries

The <<query-dsl-query-string-query,`query_string`>> and
<<query-dsl-simple-query-string-query,`simple_query_string`>> queries query
the `_all` field by default, unless another field is specified:

[source,js]
--------------------------------
GET _search
{
  "query": {
    "query_string": {
      "query": "john smith new york"
    }
  }
}
--------------------------------
// CONSOLE

The same goes for the `?q=` parameter in <<search-uri-request, URI search
requests>> (which is rewritten to a `query_string` query internally):

[source,js]
--------------------------------
GET _search?q=john+smith+new+york
--------------------------------

Other queries, such as the <<query-dsl-match-query,`match`>> and
<<query-dsl-term-query,`term`>> queries require you to specify
the `_all` field explicitly, as per the
<<mapping-all-field,first example>>.

[[disabling-all-field]]
==== Disabling the `_all` field

The `_all` field can be completely disabled per-type by setting `enabled` to
`false`:

[source,js]
--------------------------------
PUT my_index
{
  "mappings": {
    "type_1": { <1>
      "properties": {...}
    },
    "type_2": { <2>
      "_all": {
        "enabled": false
      },
      "properties": {...}
    }
  }
}
--------------------------------
// CONSOLE
// TEST[s/\.\.\.//]

<1> The `_all` field in `type_1` is enabled.
<2> The `_all` field in `type_2` is completely disabled.

If the `_all` field is disabled, then URI search requests and the
`query_string` and `simple_query_string` queries will not be able to use it
for queries (see <<querying-all-field>>).  You can configure them to use a
different field with the `index.query.default_field` setting:

[source,js]
--------------------------------
PUT my_index
{
  "mappings": {
    "my_type": {
      "_all": {
        "enabled": false <1>
      },
      "properties": {
        "content": {
          "type": "text"
        }
      }
    }
  },
  "settings": {
    "index.query.default_field": "content" <2>
  }
}
--------------------------------
// CONSOLE

<1> The `_all` field is disabled for the `my_type` type.
<2> The `query_string` query will default to querying the `content` field in this index.

[[excluding-from-all]]
==== Excluding fields from `_all`

Individual fields can be included or excluded from the `_all` field with the
<<include-in-all,`include_in_all`>> setting.


[[all-field-and-boosting]]
==== Index boosting and the `_all` field

Individual fields can be _boosted_ at index time, with the <<mapping-boost,`boost`>>
parameter. The `_all` field takes these boosts into account:

[source,js]
--------------------------------
PUT myindex
{
  "mappings": {
    "mytype": {
      "properties": {
        "title": { <1>
          "type": "text",
          "boost": 2
        },
        "content": { <1>
          "type": "text"
        }
      }
    }
  }
}
--------------------------------
// CONSOLE

<1> When querying the `_all` field, words that originated in the
    `title` field are twice as relevant as words that originated in
    the `content` field.

WARNING: Using index-time boosting with the `_all` field has a significant
impact on query performance. Usually the better solution is to query fields
individually, with optional query time boosting.


[[custom-all-fields]]
==== Custom `_all` fields

While there is only a single `_all` field per index, the <<copy-to,`copy_to`>>
parameter allows the creation of multiple __custom `_all` fields__. For
instance, `first_name` and `last_name` fields can be combined together into
the `full_name` field:

[source,js]
--------------------------------
PUT myindex
{
  "mappings": {
    "mytype": {
      "properties": {
        "first_name": {
          "type":    "text",
          "copy_to": "full_name" <1>
        },
        "last_name": {
          "type":    "text",
          "copy_to": "full_name" <1>
        },
        "full_name": {
          "type":    "text"
        }
      }
    }
  }
}

PUT myindex/mytype/1
{
  "first_name": "John",
  "last_name": "Smith"
}

GET myindex/_search
{
  "query": {
    "match": {
      "full_name": "John Smith"
    }
  }
}
--------------------------------
// CONSOLE

<1> The `first_name` and `last_name` values are copied to the `full_name` field.

[[highlighting-all-field]]
==== Highlighting and the `_all` field

A field can only be used for <<search-request-highlighting,highlighting>>  if
the original string value is available, either from the
<<mapping-source-field,`_source`>>  field or as a stored field.

The `_all` field is not present in the `_source` field and it is not stored by
default, and so cannot be highlighted. There are two options. Either
<<all-field-store,store the `_all` field>> or highlight the
<<all-highlight-fields,original fields>>.

[[all-field-store]]
===== Store the `_all` field

If `store` is set to `true`, then the original field value is retrievable and
can be highlighted:

[source,js]
--------------------------------
PUT myindex
{
  "mappings": {
    "mytype": {
      "_all": {
        "store": true
      }
    }
  }
}

PUT myindex/mytype/1
{
  "first_name": "John",
  "last_name": "Smith"
}

GET _search
{
  "query": {
    "match": {
      "_all": "John Smith"
    }
  },
  "highlight": {
    "fields": {
      "_all": {}
    }
  }
}
--------------------------------
// CONSOLE

Of course, storing the `_all` field will use significantly more disk space
and, because it is a combination of other fields, it may result in odd
highlighting results.

The `_all` field also accepts the `term_vector` and `index_options`
parameters, allowing the use of the fast vector highlighter and the postings
highlighter.

[[all-highlight-fields]]
===== Highlight original fields

You can query the `_all` field, but use the original fields for highlighting as follows:

[source,js]
--------------------------------
PUT myindex
{
  "mappings": {
    "mytype": {
      "_all": {}
    }
  }
}

PUT myindex/mytype/1
{
  "first_name": "John",
  "last_name": "Smith"
}

GET _search
{
  "query": {
    "match": {
      "_all": "John Smith" <1>
    }
  },
  "highlight": {
    "fields": {
      "*_name": { <2>
        "require_field_match": false  <3>
      }
    }
  }
}
--------------------------------
// CONSOLE

<1> The query inspects the `_all` field to find matching documents.
<2> Highlighting is performed on the two name fields, which are available from the `_source`.
<3> The query wasn't run against the name fields, so set `require_field_match` to `false`.