IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.
« Explore your data with runtime fields Aggregate metric field type »
Elastic Docs ›Elasticsearch Guide [7.11] ›Mapping

Field data types

edit

Field data types

edit

Each field has a field data type, or field type. This type indicates the kind of data the field contains, such as strings or boolean values, and its intended use. For example, you can index strings to both text and keyword fields. However, text field values are analyzed for full-text search while keyword strings are left as-is for filtering and sorting.

Field types are grouped by family. Types in the same family support the same search functionality but may have different space usage or performance characteristics.

Currently, the only type family is keyword, which consists of the keyword, constant_keyword, and wildcard field types. Other type families have only a single field type. For example, the boolean type family consists of one field type: boolean.

Common types

edit
binary
Binary value encoded as a Base64 string.
boolean
true and false values.
Keywords
The keyword family, including keyword, constant_keyword, and wildcard.
Numbers
Numeric types, such as long and double, used to express amounts.
Dates
Date types, including date and date_nanos.
alias
Defines an alias for an existing field.

Objects and relational types

edit
object
A JSON object.
flattened
An entire JSON object as a single field value.
nested
A JSON object that preserves the relationship between its subfields.
join
Defines a parent/child relationship for documents in the same index.

Structured data types

edit
Range
Range types, such as long_range, double_range, date_range, and ip_range.
ip
IPv4 and IPv6 addresses.
version
Software versions. Supports Semantic Versioning precedence rules.
murmur3
Compute and stores hashes of values.

Aggregate data types

edit
aggregate_metric_double
Pre-aggregated metric values.
histogram
Pre-aggregated numerical values in the form of a histogram.

Text search types

edit
text
Analyzed, unstructured text.
annotated-text
Text containing special markup. Used for identifying named entities.
completion
Used for auto-complete suggestions.
search_as_you_type
text-like type for as-you-type completion.
token_count
A count of tokens in a text.

Document ranking types

edit
dense_vector
Records dense vectors of float values.
sparse_vector
Records sparse vectors of float values.
rank_feature
Records a numeric feature to boost hits at query time.
rank_features
Records numeric features to boost hits at query time.

Spatial data types

edit
geo_point
Latitude and longitude points.
geo_shape
Complex shapes, such as polygons.
point
Arbitrary cartesian points.
shape
Arbitrary cartesian geometries.

Other types

edit
percolator
Indexes queries written in Query DSL.

Arrays

edit

In Elasticsearch, arrays do not require a dedicated field data type. Any field can contain zero or more values by default, however, all values in the array must be of the same field type. See Arrays.

Multi-fields

edit

It is often useful to index the same field in different ways for different purposes. For instance, a string field could be mapped as a text field for full-text search, and as a keyword field for sorting or aggregations. Alternatively, you could index a text field with the standard analyzer, the english analyzer, and the french analyzer.

This is the purpose of multi-fields. Most field types support multi-fields via the fields parameter.

« Explore your data with runtime fields Aggregate metric field type »