Delete expired ML data

DELETE /_ml/_delete_expired_data/{job_id}

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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 authorization

Cluster privileges: manage_ml

Parameters

path Path Parameters

Name	Type
`job_id` required Identifier for an anomaly detection job. It can be a job identifier, a group name, or a wildcard expression.	type TypesId = string

query Query Parameters

Name	Type
`requests_per_second` The desired requests per second for the deletion processes. The default behavior is no throttling.	number
`timeout` How long can the underlying delete processes run until they are canceled.	type TypesDuration = string \| "-1" \| "0"

Request Body

application/json

{ requests_per_second?: number;timeout?:

TypesDuration

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.

type TypesDuration = string | "-1" | "0"

; }

Responses

200 application/json

{ deleted: boolean; }