Keyword datatypeedit

A field to index structured content such as email addresses, hostnames, status codes, zip codes or tags.

They are typically used for filtering (Find me all blog posts where status is published), for sorting, and for aggregations. Keyword fields are only searchable by their exact value.

If you need to index full text content such as email bodies or product descriptions, it is likely that you should rather use a text field.

Below is an example of a mapping for a keyword field:

PUT my_index
  "mappings": {
    "_doc": {
      "properties": {
        "tags": {
          "type":  "keyword"

Parameters for keyword fieldsedit

The following parameters are accepted by keyword fields:


Mapping field-level query time boosting. Accepts a floating point number, defaults to 1.0.


Should the field be stored on disk in a column-stride fashion, so that it can later be used for sorting, aggregations, or scripting? Accepts true (default) or false.


Should global ordinals be loaded eagerly on refresh? Accepts true or false (default). Enabling this is a good idea on fields that are frequently used for terms aggregations.


Multi-fields allow the same string value to be indexed in multiple ways for different purposes, such as one field for search and a multi-field for sorting and aggregations.


Do not index any string longer than this value. Defaults to 2147483647 so that all values would be accepted.


Should the field be searchable? Accepts true (default) or false.


What information should be stored in the index, for scoring purposes. Defaults to docs but can also be set to freqs to take term frequency into account when computing scores.


Whether field-length should be taken into account when scoring queries. Accepts true or false (default).


Accepts a string value which is substituted for any explicit null values. Defaults to null, which means the field is treated as missing.


Whether the field value should be stored and retrievable separately from the _source field. Accepts true or false (default).


Which scoring algorithm or similarity should be used. Defaults to BM25.


How to pre-process the keyword prior to indexing. Defaults to null, meaning the keyword is kept as-is.


Indexes imported from 2.x do not support keyword. Instead they will attempt to downgrade keyword into string. This allows you to merge modern mappings with legacy mappings. Long lived indexes will have to be recreated before upgrading to 6.x but mapping downgrade gives you the opportunity to do the recreation on your own schedule.