2017-06-19 21:23:58 -04:00
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[role="xpack"]
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2018-08-31 19:49:24 -04:00
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[testenv="platinum"]
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2017-04-04 18:26:39 -04:00
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[[ml-delete-job]]
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2018-12-20 13:23:28 -05:00
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=== Delete jobs API
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2017-12-14 13:52:49 -05:00
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++++
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<titleabbrev>Delete jobs</titleabbrev>
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++++
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2017-04-04 18:26:39 -04:00
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2018-06-13 16:37:35 -04:00
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Deletes an existing anomaly detection job.
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2017-04-04 18:26:39 -04:00
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2019-06-27 12:42:47 -04:00
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[[ml-delete-job-request]]
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==== {api-request-title}
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2018-12-07 15:34:11 -05:00
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`DELETE _ml/anomaly_detectors/<job_id>`
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2019-06-27 16:58:42 -04:00
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[[ml-delete-job-prereqs]]
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==== {api-prereq-title}
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* If {es} {security-features} are enabled, you must have `manage_ml` or `manage`
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cluster privileges to use this API. See
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{stack-ov}/security-privileges.html[Security privileges].
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2019-06-27 12:42:47 -04:00
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[[ml-delete-job-desc]]
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==== {api-description-title}
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2017-04-04 18:26:39 -04:00
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All job configuration, model state and results are deleted.
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IMPORTANT: Deleting a job must be done via this API only. Do not delete the
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2018-12-19 17:53:37 -05:00
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job directly from the `.ml-*` indices using the Elasticsearch delete document
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API. When {es} {security-features} are enabled, make sure no `write` privileges
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are granted to anyone over the `.ml-*` indices.
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2017-04-04 18:26:39 -04:00
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2017-05-02 15:45:42 -04:00
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Before you can delete a job, you must delete the {dfeeds} that are associated
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2017-06-06 04:41:33 -04:00
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with it. See <<ml-delete-datafeed,Delete {dfeeds-cap}>>. Unless the `force` parameter
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is used the job must be closed before it can be deleted.
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2017-04-04 18:26:39 -04:00
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2017-04-25 17:08:29 -04:00
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It is not currently possible to delete multiple jobs using wildcards or a comma
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separated list.
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2017-04-04 18:26:39 -04:00
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2019-06-27 12:42:47 -04:00
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[[ml-delete-job-path-parms]]
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==== {api-path-parms-title}
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2017-04-04 18:26:39 -04:00
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2019-06-27 16:58:42 -04:00
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`<job_id>` (Required)::
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(string) Identifier for the job.
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2017-04-11 21:52:47 -04:00
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2019-06-27 12:42:47 -04:00
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[[ml-delete-job-query-parms]]
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==== {api-query-parms-title}
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2017-06-06 04:41:33 -04:00
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2019-06-27 16:58:42 -04:00
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`force` (Optional)::
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2017-06-06 04:41:33 -04:00
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(boolean) Use to forcefully delete an opened job; this method is quicker than
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closing and deleting the job.
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2019-06-27 16:58:42 -04:00
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`wait_for_completion` (Optional)::
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(boolean) Specifies whether the request should return immediately or wait
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until the job deletion completes. Defaults to `true`.
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2017-04-04 18:26:39 -04:00
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2019-06-27 12:42:47 -04:00
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[[ml-delete-job-example]]
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==== {api-examples-title}
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2017-04-04 18:26:39 -04:00
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2018-02-09 12:16:24 -05:00
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The following example deletes the `total-requests` job:
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2017-04-04 18:26:39 -04:00
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[source,js]
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--------------------------------------------------
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2018-12-07 15:34:11 -05:00
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DELETE _ml/anomaly_detectors/total-requests
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:setup:server_metrics_job]
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2017-04-04 18:26:39 -04:00
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When the job is deleted, you receive the following results:
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2017-04-21 11:23:27 -04:00
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[source,js]
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2017-04-04 18:26:39 -04:00
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----
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{
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"acknowledged": true
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}
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----
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// TESTRESPONSE
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In the next example we delete the `total-requests` job asynchronously:
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[source,js]
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--------------------------------------------------
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2018-12-07 15:34:11 -05:00
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DELETE _ml/anomaly_detectors/total-requests?wait_for_completion=false
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2018-10-04 19:41:28 -04:00
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:setup:server_metrics_job]
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When `wait_for_completion` is set to `false`, the response contains the id
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of the job deletion task:
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[source,js]
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----
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{
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"task": "oTUltX4IQMOUUVeiohTt8A:39"
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}
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----
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2018-12-07 15:34:11 -05:00
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// TESTRESPONSE[s/"task": "oTUltX4IQMOUUVeiohTt8A:39"/"task": $body.task/]
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