[[mapping-types]] == Field datatypes Elasticsearch supports a number of different datatypes for the fields in a document: [float] === Core datatypes string:: <> and <> <>:: `long`, `integer`, `short`, `byte`, `double`, `float` <>:: `date` <>:: `boolean` <>:: `binary` [float] === Complex datatypes <>:: Array support does not require a dedicated `type` <>:: `object` for single JSON objects <>:: `nested` for arrays of JSON objects [float] === Geo datatypes <>:: `geo_point` for lat/lon points <>:: `geo_shape` for complex shapes like polygons [float] === Specialised datatypes <>:: `ip` for IPv4 and IPv6 addresses <>:: `completion` to provide auto-complete suggestions <>:: `token_count` to count the number of tokens in a string {plugins}/mapper-size.html[`mapper-murmur3`]:: `murmur3` to compute hashes of values at index-time and store them in the index Attachment datatype:: See the {plugins}/mapper-attachments.html[`mapper-attachments`] plugin which supports indexing `attachments` like Microsoft Office formats, Open Document formats, ePub, HTML, etc. into an `attachment` datatype. <>:: Accepts queries from the query-dsl [float] === Multi-fields 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 <>, the <> analyzer, and the <>. This is the purpose of _multi-fields_. Most datatypes support multi-fields via the <> parameter. include::types/array.asciidoc[] include::types/binary.asciidoc[] include::types/boolean.asciidoc[] include::types/date.asciidoc[] include::types/geo-point.asciidoc[] include::types/geo-shape.asciidoc[] include::types/ip.asciidoc[] include::types/keyword.asciidoc[] include::types/nested.asciidoc[] include::types/numeric.asciidoc[] include::types/object.asciidoc[] include::types/string.asciidoc[] include::types/text.asciidoc[] include::types/token-count.asciidoc[] include::types/percolator.asciidoc[]