Delete expired ML data

DELETE /_ml/_delete_expired_data/{job_id}
DELETE /_ml/_delete_expired_data

Auth

Delete all job results, model snapshots and forecast data that have exceeded their retention days period. Machine learning state documents that are not associated with any job are also deleted. You can limit the request to a single or set of anomaly detection jobs by using a job identifier, a group name, a comma-separated list of jobs, or a wildcard expression. You can delete expired data for all anomaly detection jobs by using _all, by specifying * as the <job_id>, or by omitting the <job_id>.

Required privileges

Cluster privileges manage_ml

Path parameters

job_id string optional

Identifier for an anomaly detection job. It can be a job identifier, a group name, or a wildcard expression.

Leave it out to use /_ml/_delete_expired_data.

Query parameters

requests_per_second number: The desired requests per second for the deletion processes. The default behavior is no throttling.
timeout string · default: 8h: How long can the underlying delete processes run until they are canceled.

Request body

requests_per_second number: The desired requests per second for the deletion processes. The default behavior is no throttling.
timeout string · default: 8h: How long can the underlying delete processes run until they are canceled.

Response

application/json

deleted boolean required