2017-04-11 21:52:47 -04:00
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//lcawley: Verified example output 2017-04-11
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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
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The delete job API allows you to delete an existing anomaly detection job.
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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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2017-04-18 18:13:21 -04:00
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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 <<privileges-list-cluster>>.
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2017-04-04 18:26:39 -04:00
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Before you can delete a job, you must delete the data feeds that are associated with it.
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See <<ml-delete-datafeed,Delete Data Feeds>>.
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It is not currently possible to delete multiple jobs using wildcards or a comma 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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2017-04-04 18:26:39 -04:00
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////
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===== Responses
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200
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(EmptyResponse) The cluster has been successfully deleted
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404
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(BasicFailedReply) The cluster specified by {cluster_id} cannot be found (code: clusters.cluster_not_found)
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412
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(BasicFailedReply) The Elasticsearch cluster has not been shutdown yet (code: clusters.cluster_plan_state_error)
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////
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===== Examples
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The following example deletes the `event_rate` job:
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[source,js]
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--------------------------------------------------
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DELETE _xpack/ml/anomaly_detectors/event_rate
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:todo]
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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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----
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{
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"acknowledged": true
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}
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----
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