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MlDeleteJobRequest.ts
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/*
* Licensed to Elasticsearch B.V. under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch B.V. licenses this file to you under
* the Apache License, Version 2.0 (the "License"); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
import { RequestBase } from '@_types/Base'
import { Id } from '@_types/common'
/**
* Deletes an anomaly detection job.
*
* All job configuration, model state and results are deleted.
* It is not currently possible to delete multiple jobs using wildcards or a
* comma separated list. If you delete a job that has a datafeed, the request
* first tries to delete the datafeed. This behavior is equivalent to calling
* the delete datafeed API with the same timeout and force parameters as the
* delete job request.
* @rest_spec_name ml.delete_job
* @since 5.4.0
* @stability stable
* @cluster_privileges manage_ml
*/
export interface Request extends RequestBase {
path_parts: {
/**
* Identifier for the anomaly detection job.
*/
job_id: Id
}
query_parameters: {
/**
* Use to forcefully delete an opened job; this method is quicker than
* closing and deleting the job.
*/
force?: boolean
/**
* Specifies whether the request should return immediately or wait until the
* job deletion completes.
* @server_default true
*/
wait_for_completion?: boolean
}
}