# 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. # # Auto generated from build hash f284cc16f4d4b4289bc679aa1529bb504190fe80 # @see https://github.com/elastic/elasticsearch/tree/main/rest-api-spec # module Elasticsearch module API module MachineLearning module Actions # Forces any buffered data to be processed by the job. # # @option arguments [String] :job_id The name of the job to flush # @option arguments [Boolean] :calc_interim Calculates interim results for the most recent bucket or all buckets within the latency period # @option arguments [String] :start When used in conjunction with calc_interim, specifies the range of buckets on which to calculate interim results # @option arguments [String] :end When used in conjunction with calc_interim, specifies the range of buckets on which to calculate interim results # @option arguments [String] :advance_time Advances time to the given value generating results and updating the model for the advanced interval # @option arguments [String] :skip_time Skips time to the given value without generating results or updating the model for the skipped interval # @option arguments [Hash] :headers Custom HTTP headers # @option arguments [Hash] :body Flush parameters # # @see https://www.elastic.co/guide/en/elasticsearch/reference/8.14/ml-flush-job.html # def flush_job(arguments = {}) request_opts = { endpoint: arguments[:endpoint] || 'ml.flush_job' } defined_params = [:job_id].each_with_object({}) do |variable, set_variables| set_variables[variable] = arguments[variable] if arguments.key?(variable) end request_opts[:defined_params] = defined_params unless defined_params.empty? raise ArgumentError, "Required argument 'job_id' missing" unless arguments[:job_id] arguments = arguments.clone headers = arguments.delete(:headers) || {} body = arguments.delete(:body) _job_id = arguments.delete(:job_id) method = Elasticsearch::API::HTTP_POST path = "_ml/anomaly_detectors/#{Utils.__listify(_job_id)}/_flush" params = Utils.process_params(arguments) Elasticsearch::API::Response.new( perform_request(method, path, params, body, headers, request_opts) ) end end end end end