82 lines
2.0 KiB
Plaintext
82 lines
2.0 KiB
Plaintext
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[[ml-get-record]]
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==== Get Job Details
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The get records API allows you to retrieve records from the results that were generated by a job.
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===== Request
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`GET _xpack/ml/anomaly_detectors/<job_id>/results/records`
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////
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===== Description
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OUTDATED?: The get job API can also be applied to all jobs by using `_all` as the job name.
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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.
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////
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===== Results
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The API returns information about the job resource. For more information, see
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<<ml-job-resource,job resources>>.
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===== Query Parameters
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`_stats`::
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(+boolean+; default: ++true++) If true (default false), will just validate the cluster definition but will not perform the creation
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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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.Example results for a single job
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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": "it-ops-kpi",
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"description": "First simple job",
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"create_time": 1491007356077,
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"finished_time": 1491007365347,
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"analysis_config": {
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"bucket_span": "5m",
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"latency": "0ms",
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"summary_count_field_name": "doc_count",
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"detectors": [
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{
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"detector_description": "low_sum(events_per_min)",
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"function": "low_sum",
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"field_name": "events_per_min",
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"detector_rules": []
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}
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],
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"influencers": [],
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"use_per_partition_normalization": false
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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_plot_config": {
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"enabled": true
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},
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"model_snapshot_retention_days": 1,
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"model_snapshot_id": "1491007364",
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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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////
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