115 lines
3.8 KiB
Plaintext
115 lines
3.8 KiB
Plaintext
[role="xpack"]
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[testenv="platinum"]
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[[ml-close-job]]
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=== Close {anomaly-jobs} API
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++++
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<titleabbrev>Close jobs</titleabbrev>
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++++
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Closes one or more {anomaly-jobs}.
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A job can be opened and closed multiple times throughout its lifecycle.
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A closed job cannot receive data or perform analysis
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operations, but you can still explore and navigate results.
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[[ml-close-job-request]]
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==== {api-request-title}
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`POST _ml/anomaly_detectors/<job_id>/_close` +
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`POST _ml/anomaly_detectors/<job_id>,<job_id>/_close` +
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`POST _ml/anomaly_detectors/_all/_close` +
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[[ml-close-job-prereqs]]
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==== {api-prereq-title}
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* If the {es} {security-features} are enabled, you must have `manage_ml` or
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`manage` cluster privileges to use this API. See
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{stack-ov}/security-privileges.html[Security privileges].
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[[ml-close-job-desc]]
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==== {api-description-title}
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You can close multiple {anomaly-jobs} in a single API request by using a group
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name, a comma-separated list of jobs, or a wildcard expression. You can close
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all jobs by using `_all` or by specifying `*` as the `<job_id>`.
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When you close a job, it runs housekeeping tasks such as pruning the model history,
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flushing buffers, calculating final results and persisting the model snapshots.
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Depending upon the size of the job, it could take several minutes to close and
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the equivalent time to re-open.
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After it is closed, the job has a minimal overhead on the cluster except for
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maintaining its meta data. Therefore it is a best practice to close jobs that
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are no longer required to process data.
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When a {dfeed} that has a specified end date stops, it automatically closes
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the job.
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NOTE: If you use the `force` query parameter, the request returns without performing
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the associated actions such as flushing buffers and persisting the model snapshots.
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Therefore, do not use this parameter if you want the job to be in a consistent state
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after the close job API returns. The `force` query parameter should only be used in
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situations where the job has already failed, or where you are not interested in
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results the job might have recently produced or might produce in the future.
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[[ml-close-job-path-parms]]
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==== {api-path-parms-title}
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`<job_id>`::
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(Required, string) Identifier for the {anomaly-job}. It can be a job
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identifier, a group name, or a wildcard expression.
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[[ml-close-job-query-parms]]
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==== {api-query-parms-title}
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`allow_no_jobs`::
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(Optional, boolean) Specifies what to do when the request:
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+
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--
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* Contains wildcard expressions and there are no jobs that match.
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* Contains the `_all` string or no identifiers and there are no matches.
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* Contains wildcard expressions and there are only partial matches.
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The default value is `true`, which returns an empty `jobs` array
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when there are no matches and the subset of results when there are partial
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matches. If this parameter is `false`, the request returns a `404` status code
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when there are no matches or only partial matches.
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--
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`force`::
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(Optional, boolean) Use to close a failed job, or to forcefully close a job
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which has not responded to its initial close request.
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`timeout`::
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(Optional, <<time-units, time units>>) Controls the time to wait until a job
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has closed. The default value is 30 minutes.
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[[ml-close-job-response-codes]]
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==== {api-response-codes-title}
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`404` (Missing resources)::
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If `allow_no_jobs` is `false`, this code indicates that there are no
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resources that match the request or only partial matches for the request.
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[[ml-close-job-example]]
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==== {api-examples-title}
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The following example closes the `total-requests` job:
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[source,console]
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--------------------------------------------------
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POST _ml/anomaly_detectors/total-requests/_close
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--------------------------------------------------
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// TEST[skip:setup:server_metrics_openjob]
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When the job is closed, you receive the following results:
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[source,console-result]
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----
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{
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"closed": true
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}
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----
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