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

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[[ml-put-job]]
==== Create Jobs
The create job API enables you to instantiate a {ml} job.
===== Request
`PUT _xpack/ml/anomaly_detectors/<job_id>`
////
===== Description
TBD
////
===== Path Parameters
`job_id` (required)::
(+string+) Identifier for the job
===== Request Body
`description`::
(+string+) An optional description of the job.
`analysis_config`::
(+object+) The analysis configuration, which specifies how to analyze the data.
See <<ml-analysisconfig, analysis configuration objects>>.
`data_description`::
(+object+) Describes the format of the input data.
See <<ml-datadescription,data description objects>>.
`analysis_limits`::
Optionally specifies runtime limits for the job. See <<ml-apilimits,analysis limits>>.
////
This expects data to be sent in JSON format using the POST `_data` API.
===== Responses
TBD
////
////
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 creates the `it-ops-kpi` job:
[source,js]
--------------------------------------------------
PUT _xpack/ml/anomaly_detectors/it-ops-kpi
{
"description":"First simple job",
"analysis_config":{
"bucket_span": "5m",
"latency": "0ms",
"detectors":[
{
"detector_description": "low_sum(events_per_min)",
"function":"low_sum",
"field_name": "events_per_min"
}
]
},
"data_description": {
"time_field":"@timestamp",
"time_format":"epoch_ms"
}
}
--------------------------------------------------
// CONSOLE
// TEST[skip:todo]
When the job is created, you receive the following results:
----
{
"job_id": "it-ops-kpi",
"description": "First simple job",
"create_time": 1491247016391,
"analysis_config": {
"bucket_span": "5m",
"latency": "0ms",
"detectors": [
{
"detector_description": "low_sum(events_per_min)",
"function": "low_sum",
"field_name": "events_per_min",
"detector_rules": []
}
],
"influencers": [],
"use_per_partition_normalization": false
},
"data_description": {
"time_field": "@timestamp",
"time_format": "epoch_ms"
},
"model_snapshot_retention_days": 1,
"results_index_name": "shared"
}
----