2017-04-04 18:26:39 -04:00
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[[ml-delete-snapshot]]
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==== Delete Model Snapshots
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2017-04-11 21:52:47 -04:00
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The delete model snapshot API enables you to delete an existing model snapshot.
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2017-04-04 18:26:39 -04:00
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===== Request
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`DELETE _xpack/ml/anomaly_detectors/<job_id>/model_snapshots/<snapshot_id>`
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2017-04-11 16:25:38 -04:00
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===== Description
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2017-04-04 18:26:39 -04:00
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2017-04-11 16:25:38 -04:00
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IMPORTANT: You cannot delete the active model snapshot. To delete that snapshot,
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first revert to a different one.
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2017-04-04 18:26:39 -04:00
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2017-04-11 16:25:38 -04:00
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//TBD: Where do you see restorePriority? Per old docs, the active model snapshot
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//is "...the snapshot with the highest restorePriority".
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2017-04-04 18:26:39 -04:00
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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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`snapshot_id` (required)::
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(+string+) Identifier for the model snapshot
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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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===== 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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----
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{
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"acknowledged": true
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}
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----
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////
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