OpenSearch/docs/reference/ml/anomaly-detection/apis/delete-expired-data.asciidoc

[role="xpack"]
[testenv="platinum"]
[[ml-delete-expired-data]]
=== Delete expired data API
++++
<titleabbrev>Delete expired data</titleabbrev>
++++

Deletes expired and unused machine learning data.

[[ml-delete-expired-data-request]]
==== {api-request-title}

`DELETE _ml/_delete_expired_data`

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

* If the {es} {security-features} are enabled, you must have `manage_ml` or
`manage` cluster privileges to use this API. See
<<security-privileges>>.

[[ml-delete-expired-data-desc]]
==== {api-description-title}

Deletes all job results, model snapshots and forecast data that have exceeded
their `retention days` period. Machine learning state documents that are not
associated with any job are also deleted.

[[ml-delete-expired-data-request-body]]
==== {api-request-body-title}

`requests_per_second`::
(Optional, float) The desired requests per second for the deletion processes.
The default behavior is no throttling.

`timeout`::
(Optional, string) How long can the underlying delete processes run until they are canceled.
The default value is `8h` (8 hours).

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

The endpoint takes no arguments:

[source,console]
--------------------------------------------------
DELETE _ml/_delete_expired_data
--------------------------------------------------
// TEST

When the expired data is deleted, you receive the following response:

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