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

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[role="xpack"]
[testenv="platinum"]
[[ml-delete-job]]
= Delete {anomaly-jobs} API
++++
<titleabbrev>Delete jobs</titleabbrev>
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Deletes an existing {anomaly-job}.
[[ml-delete-job-request]]
== {api-request-title}
`DELETE _ml/anomaly_detectors/<job_id>`
[[ml-delete-job-prereqs]]
== {api-prereq-title}
* If {es} {security-features} are enabled, you must have `manage_ml` or `manage`
cluster privileges to use this API. See <<security-privileges>>.
* Before you can delete a job, you must delete the {dfeeds} that are associated
with it. See <<ml-delete-datafeed>>.
* Before you can delete a job, you must close it (unless you specify the `force` parameter). See <<ml-close-job>>.
[[ml-delete-job-desc]]
== {api-description-title}
All job configuration, model state and results are deleted.
IMPORTANT: Deleting an {anomaly-job} must be done via this API only. Do not
delete the job directly from the `.ml-*` indices using the {es} delete document
API. When {es} {security-features} are enabled, make sure no `write` privileges
are granted to anyone over the `.ml-*` indices.
It is not currently possible to delete multiple jobs using wildcards or a comma
separated list.
[[ml-delete-job-path-parms]]
== {api-path-parms-title}
`<job_id>`::
(Required, string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]
[[ml-delete-job-query-parms]]
== {api-query-parms-title}
`force`::
(Optional, boolean) Use to forcefully delete an opened job; this method is
quicker than closing and deleting the job.
`wait_for_completion`::
(Optional, boolean) Specifies whether the request should return immediately or
wait until the job deletion completes. Defaults to `true`.
[[ml-delete-job-example]]
== {api-examples-title}
[source,console]
--------------------------------------------------
DELETE _ml/anomaly_detectors/total-requests
--------------------------------------------------
// TEST[skip:setup:server_metrics_job]
When the job is deleted, you receive the following results:
[source,console-result]
----
{
"acknowledged": true
}
----
In the next example we delete the `total-requests` job asynchronously:
[source,console]
--------------------------------------------------
DELETE _ml/anomaly_detectors/total-requests?wait_for_completion=false
--------------------------------------------------
// TEST[skip:setup:server_metrics_job]
When `wait_for_completion` is set to `false`, the response contains the id
of the job deletion task:
[source,console-result]
----
{
"task": "oTUltX4IQMOUUVeiohTt8A:39"
}
----
// TESTRESPONSE[s/"task": "oTUltX4IQMOUUVeiohTt8A:39"/"task": $body.task/]