Delete expired ML data Added in 5.4.0

DELETE /_ml/_delete_expired_data/{job_id}

Deletes 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 , or by omitting the .

Path parameters

  • job_id string Required

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

Query parameters

  • requests_per_second number

    The desired requests per second for the deletion processes. The default behavior is no throttling.

  • timeout string

    How long can the underlying delete processes run until they are canceled.

application/json

Body

  • requests_per_second number

    The desired requests per second for the deletion processes. The default behavior is no throttling.

  • timeout string

    A duration. Units can be nanos, micros, ms (milliseconds), s (seconds), m (minutes), h (hours) and d (days). Also accepts "0" without a unit and "-1" to indicate an unspecified value.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
DELETE /_ml/_delete_expired_data/{job_id} 
curl \
 -X DELETE http://api.example.com/_ml/_delete_expired_data/{job_id} \
 -H "Content-Type: application/json" \
 -d '{"requests_per_second":42.0,"timeout":"string"}'
Request examples 
{
  "requests_per_second": 42.0,
  "timeout": "string"
}
Response examples (200) 
{
  "deleted": true
}