[role="xpack"]
[testenv="basic"]
[[put-data-frame-transform]]
=== Create {dataframe-transforms} API

[subs="attributes"]
++++
<titleabbrev>Create {dataframe-transforms}</titleabbrev>
++++

beta[]

Instantiates a {dataframe-transform}.

[discrete]
[[put-data-frame-transform-request]]
==== {api-request-title}

`PUT _data_frame/transforms/<data_frame_transform_id>`

[discrete]
[[put-data-frame-transform-prereqs]]
==== {api-prereq-title}

If the {es} {security-features} are enabled, you must have
`manage_data_frame_transforms` cluster privileges to use this API. The built-in
`data_frame_transforms_admin` role has these privileges. You must also
have `read` and `view_index_metadata` privileges on the source index and `read`,
`create_index`, and `index` privileges on the destination index. For more
information, see {stack-ov}/security-privileges.html[Security privileges] and
{stack-ov}/built-in-roles.html[Built-in roles].


[discrete]
[[put-data-frame-transform-desc]]
===== {api-description-title}

IMPORTANT:  You must use {kib} or this API to create a {dataframe-transform}.
            Do not put a {dataframe-transform} directly into any
            `.data-frame-internal*` indices using the Elasticsearch index API.
            If {es} {security-features} are enabled, do not give users any
            privileges on `.data-frame-internal*` indices.

[discrete]
[[put-data-frame-transform-path-parms]]
==== {api-path-parms-title}

`<data_frame_transform_id>` (Required)::
  (string) Identifier for the {dataframe-transform}. This identifier can contain
  lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It
  must start and end with alphanumeric characters.

[discrete]
[[put-data-frame-transform-request-body]]
==== {api-request-body-title}

`description` (Optional)::
  (string) Free text description of the {dataframe-transform}.

`dest` (Required)::
  (object) The destination configuration, which consists of `index` and
  optionally a `pipeline` id.

`pivot` (Optional)::
  (object) Defines the pivot function `group by` fields and the aggregation to
  reduce the data. See <<data-frame-transform-pivot>>.

`source` (Required)::
  (object) The source configuration, which consists of `index` and optionally
  a `query`.

[discrete]
[[put-data-frame-transform-example]]
==== {api-examples-title}

[source,js]
--------------------------------------------------
PUT _data_frame/transforms/ecommerce_transform
{
  "source": {
    "index": "kibana_sample_data_ecommerce",
    "query": {
      "term": {
        "geoip.continent_name": {
          "value": "Asia"
        }
      }
    }
  },
  "dest": {
    "index": "kibana_sample_data_ecommerce_transform",
    "pipeline": "add_timestamp_pipeline"
  },
  "pivot": {
    "group_by": {
      "customer_id": {
        "terms": {
          "field": "customer_id"
        }
      }
    },
    "aggregations": {
      "max_price": {
        "max": {
          "field": "taxful_total_price"
        }
      }
    }
  },
  "description": "Maximum priced ecommerce data by customer_id in Asia"
}
--------------------------------------------------
// CONSOLE
// TEST[skip: https://github.com/elastic/elasticsearch/issues/43271]

When the transform is created, you receive the following results:
[source,js]
----
{
  "acknowledged" : true
}
----
// TESTRESPONSE