elasticsearch/docs/reference/data-frames/apis/put-transform.asciidoc

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

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

Instantiates a {dataframe-transform}.


==== Request

`PUT _data_frame/transforms/<data_frame_transform_id>`

===== Description

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.

==== Path Parameters

`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.


==== Request Body

`source` (required):: (object) The source configuration, consisting of `index` and optionally
a `query`.

`dest` (required):: (object) The destination configuration, consisting of `index` and optionally a
`pipeline` id.

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

`description`:: Optional free text description of the data frame transform


==== Authorization

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].

==== Examples

The following example creates a {dataframe-transform} for the {kib} eCommerce
sample data:

[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[setup:kibana_sample_data_ecommerce]

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