Open anomaly detection jobs API
Opens one or more anomaly detection jobs.
Request
POST _ml/anomaly_detectors/{job_id}/_open
Prerequisites
Requires the manage_ml cluster privilege. This privilege is included in the machine_learning_admin built-in role.
Description
An anomaly detection job must be opened in order for it to be ready to receive and analyze data. It can be opened and closed multiple times throughout its lifecycle.
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 anomaly detection job.
Query parameters
-
timeout - (Optional, time) Controls the time to wait until a job has opened. The default value is 30 minutes.
Request body
You can also specify the timeout query parameter in the request body.
Response body
-
node - (string) The ID of the node that the job was opened on. If the job is allowed to open lazily and has not yet been assigned to a node, this value is an empty string.
-
opened - (Boolean) For a successful response, this value is always
true. On failure, an exception is returned instead.
Examples
POST _ml/anomaly_detectors/total-requests/_open
{
"timeout": "35m"
} When the job opens, you receive the following results:
{
"opened" : true,
"node" : "node-1"
}
© 2023-2025 Elasticsearch
As of September 2024, Elasticsearch is available under a choice of three licenses: the Server Side Public License (SSPL), the Elastic License, or the AGPLv3 (OSI approved).
Elasticsearch and the Elasticsearch logo are trademarks of Elasticsearch B.V., registered in the U.S. and in other countries.
https://www.elastic.co/guide/en/elasticsearch/reference/7.17/ml-open-job.html
