2017-06-19 21:23:58 -04:00
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[role="xpack"]
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2017-04-04 18:26:39 -04:00
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[[ml-delete-job]]
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=== Delete Jobs API
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++++
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<titleabbrev>Delete Jobs</titleabbrev>
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++++
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2018-01-15 11:44:08 -05:00
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This API enables you to delete an existing anomaly detection job.
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2017-06-06 16:42:47 -04:00
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==== Request
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`DELETE _xpack/ml/anomaly_detectors/<job_id>`
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==== Description
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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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job directly from the `.ml-*` indices using the Elasticsearch
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DELETE Document API. When {security} is enabled, make sure no `write`
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privileges are granted to anyone over the `.ml-*` indices.
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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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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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It is not currently possible to delete multiple jobs using wildcards or a comma
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separated list.
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==== Path Parameters
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`job_id` (required)::
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(string) Identifier for the job
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2017-06-06 04:41:33 -04:00
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===== Query Parameters
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`force`::
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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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2017-06-06 16:42:47 -04:00
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==== Authorization
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You must have `manage_ml`, or `manage` cluster privileges to use this API.
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For more information, see {xpack-ref}/security-privileges.html[Security Privileges].
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2017-06-06 16:42:47 -04:00
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==== Examples
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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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[source,js]
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--------------------------------------------------
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DELETE _xpack/ml/anomaly_detectors/total-requests
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:server_metrics_job]
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When the job is deleted, you receive the following results:
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[source,js]
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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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2018-02-09 12:16:24 -05:00
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// TESTRESPONSE
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