[[ml-open-job]]
==== Open Jobs

An anomaly detection job must be opened in order for it to be ready to receive and analyze data.
A job may be opened and closed multiple times throughout its lifecycle.

===== Request

`POST _xpack/ml/anomaly_detectors/<job_id>/_open`

===== Description

A job must be open in order to it to accept and analyze data.

When you open a new job, it starts with an empty model.

When you open an existing job, the most recent model state is automatically loaded.
The job is ready to resume its analysis from where it left off, once new data is received.

===== Path Parameters

`job_id` (required)::
(+string+)    Identifier for the job

===== Request Body

`open_timeout`::
  (+time+; default: ++30 min++) Controls the time to wait until a job has opened

`ignore_downtime`::
  (+boolean+; default: ++true++) If true (default), any gap in data since it was
  last closed is treated as a maintenance window. That is to say, it is not an anomaly

////
===== 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 opens the `event_rate` job:

[source,js]
--------------------------------------------------
POST _xpack/ml/anomaly_detectors/event_rate/_open
{
  "ignore_downtime":false
}
--------------------------------------------------
// CONSOLE
// TEST[skip:todo]

When the job opens, you receive the following results:
----
{
  "opened": true
}
----