64 lines
1.7 KiB
Plaintext
64 lines
1.7 KiB
Plaintext
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[[ml-open-job]]
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==== Open Jobs
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An anomaly detection job must be opened in order for it to be ready to receive and analyze data.
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A job may be opened and closed multiple times throughout its lifecycle.
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===== Request
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`POST _xpack/ml/anomaly_detectors/{job_id}/_open`
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===== Description
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A job must be open in order to it to accept and analyze data.
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When you open a new job, it starts with an empty model.
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When you open an existing job, the most recent model state is automatically loaded.
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The job is ready to resume its analysis from where it left off, once new data is received.
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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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===== Request Body
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`open_timeout`::
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(+time+; default: ++30 min++) Controls the time to wait until a job has opened
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`ignore_downtime`::
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(+boolean+; default: ++true++) If true (default), any gap in data since it was
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last closed is treated as a maintenance window. That is to say, it is not an anomaly
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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 opens the `event_rate` job and sets an optional property:
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[source,js]
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--------------------------------------------------
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POST _xpack/ml/anomaly_detectors/event_rate/_open
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{
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"ignore_downtime": false
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:todo]
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When the job opens, you receive the following results:
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----
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{
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"opened": true
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}
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----
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