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

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[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[skip: https://github.com/elastic/elasticsearch/issues/43271]
When the transform is created, you receive the following results:
[source,js]
----
{
"acknowledged" : true
}
----
// TESTRESPONSE