elasticsearch/docs/reference/ml/anomaly-detection/apis/delete-datafeed.asciidoc

[role="xpack"]
[[ml-delete-datafeed]]
= Delete {dfeeds} API

[subs="attributes"]
++++
<titleabbrev>Delete {dfeeds}</titleabbrev>
++++

Deletes an existing {dfeed}.

[[ml-delete-datafeed-request]]
== {api-request-title}

`DELETE _ml/datafeeds/<feed_id>`

[[ml-delete-datafeed-prereqs]]
== {api-prereq-title}

* Requires the `manage_ml` cluster privilege. This privilege is included in the 
`machine_learning_admin` built-in role.
* Unless you use the `force` parameter, you must stop the {dfeed} before you
can delete it.

[[ml-delete-datafeed-path-parms]]
== {api-path-parms-title}

`<feed_id>`::
(Required, string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=datafeed-id]

[[ml-delete-datafeed-query-parms]]
== {api-query-parms-title}

`force`::
(Optional, Boolean) Use to forcefully delete a started {dfeed}; this method is
quicker than stopping and deleting the {dfeed}.

[[ml-delete-datafeed-example]]
== {api-examples-title}

[source,console]
--------------------------------------------------
DELETE _ml/datafeeds/datafeed-total-requests
--------------------------------------------------
// TEST[skip:setup:server_metrics_datafeed]

When the {dfeed} is deleted, you receive the following results:

[source,console-result]
----
{
  "acknowledged": true
}
----