OpenSearch/docs/reference/search/search-fields.asciidoc

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[discrete]
[[search-fields]]
=== Retrieve selected fields
By default, each hit in the search response includes the document
<<mapping-source-field,`_source`>>, which is the entire JSON object that was
provided when indexing the document. To retrieve specific fields in the search
response, you can use the `fields` parameter:
[source,console]
----
POST twitter/_search
{
"query": {
"match": {
"message": "elasticsearch"
}
},
"fields": ["user", "date"],
"_source": false
}
----
// TEST[setup:twitter]
The `fields` parameter consults both a document's `_source` and the index
mappings to load and return values. Because it makes use of the mappings,
`fields` has some advantages over referencing the `_source` directly: it
accepts <<multi-fields, multi-fields>> and <<alias, field aliases>>, and
also formats field values like dates in a consistent way.
A document's `_source` is stored as a single field in Lucene. So the whole
`_source` object must be loaded and parsed even if only a small number of
fields are requested. To avoid this limitation, you can try another option for
loading fields:
* Use the <<docvalue-fields, `docvalue_fields`>>
parameter to get values for selected fields. This can be a good
choice when returning a fairly small number of fields that support doc values,
such as keywords and dates.
* Use the <<request-body-search-stored-fields, `stored_fields`>> parameter to
get the values for specific stored fields (fields that use the
<<mapping-store,`store`>> mapping option).
You can find more detailed information on each of these methods in the
following sections:
* <<search-fields-param>>
* <<docvalue-fields>>
* <<stored-fields>>
* <<source-filtering>>
[discrete]
[[search-fields-param]]
=== Fields
The `fields` parameter allows for retrieving a list of document fields in
the search response. It consults both the document `_source` and the index
mappings to return each value in a standardized way that matches its mapping
type. By default, date fields are formatted according to the
<<mapping-date-format,date format>> parameter in their mappings.
The following search request uses the `fields` parameter to retrieve values
for the `user` field, all fields starting with `location.`, and the
`date` field:
[source,console]
----
POST twitter/_search
{
"query": {
"match": {
"message": "elasticsearch"
}
},
"fields": [
"user",
"location.*", <1>
{
"field": "date",
"format": "epoch_millis" <2>
}
],
"_source": false
}
----
// TEST[continued]
<1> Both full field names and wildcard patterns are accepted.
<2> Using object notation, you can pass a `format` parameter to apply a custom
format for the field's values. The date fields
<<date,`date`>> and <<date_nanos, `date_nanos`>> accept a
<<mapping-date-format,date format>>. <<spatial_datatypes, Spatial fields>>
accept either `geojson` for http://www.geojson.org[GeoJSON] (the default)
or `wkt` for
https://en.wikipedia.org/wiki/Well-known_text_representation_of_geometry[Well Known Text].
Other field types do not support the `format` parameter.
The values are returned as a flat list in the `fields` section in each hit:
[source,console-result]
----
{
"took" : 2,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "twitter",
"_id" : "0",
"_score" : 1.0,
"_type" : "_doc",
"fields" : {
"user" : [
"kimchy"
],
"date" : [
"1258294332000"
],
"location.city": [
"Amsterdam"
],
"location.country": [
"Netherlands"
]
}
}
]
}
}
----
// TESTRESPONSE[s/"took" : 2/"took": $body.took/]
// TESTRESPONSE[s/"max_score" : 1.0/"max_score" : $body.hits.max_score/]
// TESTRESPONSE[s/"_score" : 1.0/"_score" : $body.hits.hits.0._score/]
Only leaf fields are returned -- `fields` does not allow for fetching entire
objects.
The `fields` parameter handles field types like <<alias, field aliases>> and
<<constant-keyword, `constant_keyword`>> whose values aren't always present in
the `_source`. Other mapping options are also respected, including
<<ignore-above, `ignore_above`>>, <<ignore-malformed, `ignore_malformed`>> and
<<null-value, `null_value`>>.
NOTE: The `fields` response always returns an array of values for each field,
even when there is a single value in the `_source`. This is because {es} has
no dedicated array type, and any field could contain multiple values. The
`fields` parameter also does not guarantee that array values are returned in
a specific order. See the mapping documentation on <<array, arrays>> for more
background.
[discrete]
[[docvalue-fields]]
=== Doc value fields
You can use the <<docvalue-fields,`docvalue_fields`>> parameter to return
<<doc-values,doc values>> for one or more fields in the search response.
Doc values store the same values as the `_source` but in an on-disk,
column-based structure that's optimized for sorting and aggregations. Since each
field is stored separately, {es} only reads the field values that were requested
and can avoid loading the whole document `_source`.
Doc values are stored for supported fields by default. However, doc values are
not supported for <<text,`text`>> or
{plugins}/mapper-annotated-text-usage.html[`text_annotated`] fields.
The following search request uses the `docvalue_fields` parameter to retrieve
doc values for the `user` field, all fields starting with `location.`, and the
`date` field:
[source,console]
----
GET twitter/_search
{
"query": {
"match": {
"message": "elasticsearch"
}
},
"docvalue_fields": [
"user",
"location.*", <1>
{
"field": "date",
"format": "epoch_millis" <2>
}
]
}
----
// TEST[continued]
<1> Both full field names and wildcard patterns are accepted.
<2> Using object notation, you can pass a `format` parameter to apply a custom
format for the field's doc values. <<date,Date fields>> support a
<<mapping-date-format,date `format`>>. <<number,Numeric fields>> support a
https://docs.oracle.com/javase/8/docs/api/java/text/DecimalFormat.html[DecimalFormat
pattern]. Other field datatypes do not support the `format` parameter.
TIP: You cannot use the `docvalue_fields` parameter to retrieve doc values for
nested objects. If you specify a nested object, the search returns an empty
array (`[ ]`) for the field. To access nested fields, use the
<<request-body-search-inner-hits, `inner_hits`>> parameter's `docvalue_fields`
property.
[discrete]
[[stored-fields]]
=== Stored fields
It's also possible to store an individual field's values by using the
<<mapping-store,`store`>> mapping option. You can use the
<<request-body-search-stored-fields, `stored_fields`>> parameter to include
these stored values in the search response.
[discrete]
[[source-filtering]]
=== Source filtering
You can use the `_source` parameter to select what fields of the source are
returned. This is called _source filtering_.
The following search API request sets the `_source` request body parameter to
`false`. The document source is not included in the response.
[source,console]
----
GET /_search
{
"_source": false,
"query": {
"match": {
"user.id": "kimchy"
}
}
}
----
To return only a subset of source fields, specify a wildcard (`*`) pattern in
the `_source` parameter. The following search API request returns the source for
only the `obj` field and its properties.
[source,console]
----
GET /_search
{
"_source": "obj.*",
"query": {
"match": {
"user.id": "kimchy"
}
}
}
----
You can also specify an array of wildcard patterns in the `_source` field. The
following search API request returns the source for only the `obj1` and
`obj2` fields and their properties.
[source,console]
----
GET /_search
{
"_source": [ "obj1.*", "obj2.*" ],
"query": {
"match": {
"user.id": "kimchy"
}
}
}
----
For finer control, you can specify an object containing arrays of `includes` and
`excludes` patterns in the `_source` parameter.
If the `includes` property is specified, only source fields that match one of
its patterns are returned. You can exclude fields from this subset using the
`excludes` property.
If the `includes` property is not specified, the entire document source is
returned, excluding any fields that match a pattern in the `excludes` property.
The following search API request returns the source for only the `obj1` and
`obj2` fields and their properties, excluding any child `description` fields.
[source,console]
----
GET /_search
{
"_source": {
"includes": [ "obj1.*", "obj2.*" ],
"excludes": [ "*.description" ]
},
"query": {
"term": {
"user.id": "kimchy"
}
}
}
----