OpenSearch/docs/en/rest-api/ml/get-job.asciidoc

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//lcawley Verified example output 2017-04-11
[[ml-get-job]]
==== Get Jobs
The get jobs API enables you to retrieve configuration information for jobs.
===== Request
`GET _xpack/ml/anomaly_detectors/` +
`GET _xpack/ml/anomaly_detectors/<job_id>`
////
===== Description
////
===== Path Parameters
`job_id`::
(+string+) Identifier for the job. If you do not specify this optional parameter,
the API returns information about all jobs that you have authority to view.
===== Results
he API returns the following information:
`jobs`::
(+array+) An array of job resources.
For more information, see <<ml-job-resource,Job Resources>>.
////
===== Responses
200
(EmptyResponse) The cluster has been successfully deleted
404
(BasicFailedReply) The cluster specified by {cluster_id} cannot be found (code: clusters.cluster_not_found)
412
(BasicFailedReply) The Elasticsearch cluster has not been shutdown yet (code: clusters.cluster_plan_state_error)
////
===== Examples
The following example gets configuration information for the `farequote` job:
[source,js]
--------------------------------------------------
GET _xpack/ml/anomaly_detectors/farequote
--------------------------------------------------
// CONSOLE
// TEST[skip:todo]
In this example, the API returns a single result that matches the specified
score and time constraints:
----
{
"count": 1,
"jobs": [
{
"job_id": "farequote",
"job_type": "anomaly_detector",
"description": "Multi-metric job",
"create_time": 1491948149563,
"finished_time": 1491948166289,
"analysis_config": {
"bucket_span": "5m",
"detectors": [
{
"detector_description": "mean(responsetime)",
"function": "mean",
"field_name": "responsetime",
"partition_field_name": "airline",
"detector_rules": []
}
],
"influencers": [
"airline"
]
},
"data_description": {
"time_field": "@timestamp",
"time_format": "epoch_ms"
},
"model_snapshot_retention_days": 1,
"model_snapshot_id": "1491948163",
"results_index_name": "shared"
}
]
}
----