[ML][HLRC] Replace REST-based ML test cleanup with the ML client (#34109)
Now that all basic APIs for managing jobs and datafeeds have been implemented we replace the duplicated `MlRestTestStateCleaner` with an implementation that uses the HLRC Machine Learning client itself.
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269ae0bc15
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@ -147,7 +147,7 @@ public class MachineLearningGetResultsIT extends ESRestHighLevelClientTestCase {
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@After
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public void deleteJob() throws IOException {
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new MlRestTestStateCleaner(logger, client()).clearMlMetadata();
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new MlTestStateCleaner(logger, highLevelClient().machineLearning()).clearMlMetadata();
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}
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public void testGetCategories() throws IOException {
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@ -19,7 +19,6 @@
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package org.elasticsearch.client;
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import com.carrotsearch.randomizedtesting.generators.CodepointSetGenerator;
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import org.elasticsearch.ElasticsearchStatusException;
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import org.elasticsearch.action.admin.indices.create.CreateIndexRequest;
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import org.elasticsearch.action.bulk.BulkRequest;
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@ -93,7 +92,7 @@ public class MachineLearningIT extends ESRestHighLevelClientTestCase {
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@After
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public void cleanUp() throws IOException {
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new MlRestTestStateCleaner(logger, client()).clearMlMetadata();
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new MlTestStateCleaner(logger, highLevelClient().machineLearning()).clearMlMetadata();
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}
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public void testPutJob() throws Exception {
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@ -1,109 +0,0 @@
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/*
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* Licensed to Elasticsearch under one or more contributor
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* license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright
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* ownership. Elasticsearch licenses this file to you under
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* the Apache License, Version 2.0 (the "License"); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.elasticsearch.client;
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import org.apache.logging.log4j.Logger;
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import org.elasticsearch.common.xcontent.support.XContentMapValues;
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import org.elasticsearch.test.rest.ESRestTestCase;
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import java.io.IOException;
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import java.util.List;
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import java.util.Map;
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/**
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* This is temporarily duplicated from the server side.
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* @TODO Replace with an implementation using the HLRC once
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* the APIs for managing datafeeds are implemented.
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*/
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public class MlRestTestStateCleaner {
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private final Logger logger;
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private final RestClient adminClient;
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public MlRestTestStateCleaner(Logger logger, RestClient adminClient) {
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this.logger = logger;
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this.adminClient = adminClient;
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}
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public void clearMlMetadata() throws IOException {
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deleteAllDatafeeds();
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deleteAllJobs();
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// indices will be deleted by the ESRestTestCase class
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}
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@SuppressWarnings("unchecked")
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private void deleteAllDatafeeds() throws IOException {
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final Request datafeedsRequest = new Request("GET", "/_xpack/ml/datafeeds");
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datafeedsRequest.addParameter("filter_path", "datafeeds");
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final Response datafeedsResponse = adminClient.performRequest(datafeedsRequest);
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final List<Map<String, Object>> datafeeds =
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(List<Map<String, Object>>) XContentMapValues.extractValue("datafeeds", ESRestTestCase.entityAsMap(datafeedsResponse));
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if (datafeeds == null) {
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return;
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}
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try {
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adminClient.performRequest(new Request("POST", "/_xpack/ml/datafeeds/_all/_stop"));
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} catch (Exception e1) {
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logger.warn("failed to stop all datafeeds. Forcing stop", e1);
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try {
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adminClient.performRequest(new Request("POST", "/_xpack/ml/datafeeds/_all/_stop?force=true"));
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} catch (Exception e2) {
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logger.warn("Force-closing all data feeds failed", e2);
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}
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throw new RuntimeException(
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"Had to resort to force-stopping datafeeds, something went wrong?", e1);
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}
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for (Map<String, Object> datafeed : datafeeds) {
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String datafeedId = (String) datafeed.get("datafeed_id");
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adminClient.performRequest(new Request("DELETE", "/_xpack/ml/datafeeds/" + datafeedId));
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}
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}
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private void deleteAllJobs() throws IOException {
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final Request jobsRequest = new Request("GET", "/_xpack/ml/anomaly_detectors");
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jobsRequest.addParameter("filter_path", "jobs");
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final Response response = adminClient.performRequest(jobsRequest);
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@SuppressWarnings("unchecked")
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final List<Map<String, Object>> jobConfigs =
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(List<Map<String, Object>>) XContentMapValues.extractValue("jobs", ESRestTestCase.entityAsMap(response));
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if (jobConfigs == null) {
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return;
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}
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try {
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adminClient.performRequest(new Request("POST", "/_xpack/ml/anomaly_detectors/_all/_close"));
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} catch (Exception e1) {
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logger.warn("failed to close all jobs. Forcing closed", e1);
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try {
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adminClient.performRequest(new Request("POST", "/_xpack/ml/anomaly_detectors/_all/_close?force=true"));
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} catch (Exception e2) {
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logger.warn("Force-closing all jobs failed", e2);
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}
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throw new RuntimeException("Had to resort to force-closing jobs, something went wrong?",
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e1);
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}
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for (Map<String, Object> jobConfig : jobConfigs) {
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String jobId = (String) jobConfig.get("job_id");
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adminClient.performRequest(new Request("DELETE", "/_xpack/ml/anomaly_detectors/" + jobId));
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}
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}
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}
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@ -0,0 +1,102 @@
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/*
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* Licensed to Elasticsearch under one or more contributor
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* license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright
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* ownership. Elasticsearch licenses this file to you under
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* the Apache License, Version 2.0 (the "License"); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.elasticsearch.client;
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import org.apache.logging.log4j.Logger;
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import org.elasticsearch.client.ml.CloseJobRequest;
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import org.elasticsearch.client.ml.DeleteDatafeedRequest;
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import org.elasticsearch.client.ml.DeleteJobRequest;
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import org.elasticsearch.client.ml.GetDatafeedRequest;
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import org.elasticsearch.client.ml.GetDatafeedResponse;
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import org.elasticsearch.client.ml.GetJobRequest;
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import org.elasticsearch.client.ml.GetJobResponse;
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import org.elasticsearch.client.ml.StopDatafeedRequest;
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import org.elasticsearch.client.ml.datafeed.DatafeedConfig;
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import org.elasticsearch.client.ml.job.config.Job;
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import java.io.IOException;
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/**
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* Cleans up and ML resources created during tests
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*/
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public class MlTestStateCleaner {
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private final Logger logger;
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private final MachineLearningClient mlClient;
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public MlTestStateCleaner(Logger logger, MachineLearningClient mlClient) {
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this.logger = logger;
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this.mlClient = mlClient;
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}
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public void clearMlMetadata() throws IOException {
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deleteAllDatafeeds();
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deleteAllJobs();
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}
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private void deleteAllDatafeeds() throws IOException {
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stopAllDatafeeds();
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GetDatafeedResponse getDatafeedResponse = mlClient.getDatafeed(GetDatafeedRequest.getAllDatafeedsRequest(), RequestOptions.DEFAULT);
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for (DatafeedConfig datafeed : getDatafeedResponse.datafeeds()) {
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mlClient.deleteDatafeed(new DeleteDatafeedRequest(datafeed.getId()), RequestOptions.DEFAULT);
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}
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}
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private void stopAllDatafeeds() {
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StopDatafeedRequest stopAllDatafeedsRequest = StopDatafeedRequest.stopAllDatafeedsRequest();
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try {
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mlClient.stopDatafeed(stopAllDatafeedsRequest, RequestOptions.DEFAULT);
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} catch (Exception e1) {
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logger.warn("failed to stop all datafeeds. Forcing stop", e1);
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try {
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stopAllDatafeedsRequest.setForce(true);
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mlClient.stopDatafeed(stopAllDatafeedsRequest, RequestOptions.DEFAULT);
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} catch (Exception e2) {
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logger.warn("Force-closing all data feeds failed", e2);
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}
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throw new RuntimeException("Had to resort to force-stopping datafeeds, something went wrong?", e1);
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}
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}
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private void deleteAllJobs() throws IOException {
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closeAllJobs();
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GetJobResponse getJobResponse = mlClient.getJob(GetJobRequest.getAllJobsRequest(), RequestOptions.DEFAULT);
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for (Job job : getJobResponse.jobs()) {
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mlClient.deleteJob(new DeleteJobRequest(job.getId()), RequestOptions.DEFAULT);
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}
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}
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private void closeAllJobs() {
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CloseJobRequest closeAllJobsRequest = CloseJobRequest.closeAllJobsRequest();
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try {
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mlClient.closeJob(closeAllJobsRequest, RequestOptions.DEFAULT);
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} catch (Exception e1) {
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logger.warn("failed to close all jobs. Forcing closed", e1);
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closeAllJobsRequest.setForce(true);
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try {
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mlClient.closeJob(closeAllJobsRequest, RequestOptions.DEFAULT);
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} catch (Exception e2) {
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logger.warn("Force-closing all jobs failed", e2);
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}
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throw new RuntimeException("Had to resort to force-closing jobs, something went wrong?", e1);
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}
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}
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}
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@ -30,7 +30,7 @@ import org.elasticsearch.action.support.master.AcknowledgedResponse;
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import org.elasticsearch.client.ESRestHighLevelClientTestCase;
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import org.elasticsearch.client.MachineLearningGetResultsIT;
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import org.elasticsearch.client.MachineLearningIT;
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import org.elasticsearch.client.MlRestTestStateCleaner;
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import org.elasticsearch.client.MlTestStateCleaner;
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import org.elasticsearch.client.RequestOptions;
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import org.elasticsearch.client.RestHighLevelClient;
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import org.elasticsearch.client.ml.CloseJobRequest;
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@ -126,7 +126,7 @@ public class MlClientDocumentationIT extends ESRestHighLevelClientTestCase {
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@After
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public void cleanUp() throws IOException {
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new MlRestTestStateCleaner(logger, client()).clearMlMetadata();
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new MlTestStateCleaner(logger, highLevelClient().machineLearning()).clearMlMetadata();
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}
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public void testCreateJob() throws Exception {
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