90 lines
2.2 KiB
Plaintext
90 lines
2.2 KiB
Plaintext
//lcawley Verified example output 2017-04-11
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[[ml-get-job]]
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==== Get Jobs
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The get jobs API enables you to retrieve configuration information for jobs.
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===== Request
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`GET _xpack/ml/anomaly_detectors/` +
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`GET _xpack/ml/anomaly_detectors/<job_id>`
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////
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===== Description
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////
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===== Path Parameters
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`job_id`::
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(+string+) Identifier for the job. If you do not specify this optional parameter,
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the API returns information about all jobs that you have authority to view.
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===== Results
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he API returns the following information:
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`jobs`::
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(+array+) An array of job resources.
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For more information, see <<ml-job-resource,Job Resources>>.
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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 gets configuration information for the `farequote` job:
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[source,js]
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--------------------------------------------------
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GET _xpack/ml/anomaly_detectors/farequote
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:todo]
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In this example, the API returns a single result that matches the specified
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score and time constraints:
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----
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{
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"count": 1,
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"jobs": [
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{
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"job_id": "farequote",
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"job_type": "anomaly_detector",
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"description": "Multi-metric job",
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"create_time": 1491948149563,
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"finished_time": 1491948166289,
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"analysis_config": {
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"bucket_span": "5m",
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"detectors": [
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{
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"detector_description": "mean(responsetime)",
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"function": "mean",
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"field_name": "responsetime",
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"partition_field_name": "airline",
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"detector_rules": []
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}
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],
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"influencers": [
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"airline"
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]
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},
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"data_description": {
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"time_field": "@timestamp",
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"time_format": "epoch_ms"
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},
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"model_snapshot_retention_days": 1,
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"model_snapshot_id": "1491948163",
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"results_index_name": "shared"
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}
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]
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}
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----
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