HLRC: Adding ML Job stats (#33183)
* HLRC: Adding pojos for get job stats HLRC: Adding pojos for job stats request * HLRC: Adding job stats pojos * HLRC: ML job stats * Minor syntax changes and adding license headers * minor comment change * Moving to client package, minor changes * Addressing PR comments * removing bad sleep * addressing minor comment around test methods * adding toplevel random fields for tests * addressing minor review comments
This commit is contained in:
parent
f28cddf951
commit
19b14fa5ed
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@ -28,6 +28,7 @@ import org.elasticsearch.client.ml.CloseJobRequest;
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import org.elasticsearch.client.ml.DeleteJobRequest;
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import org.elasticsearch.client.ml.GetBucketsRequest;
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import org.elasticsearch.client.ml.GetJobRequest;
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import org.elasticsearch.client.ml.GetJobStatsRequest;
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import org.elasticsearch.client.ml.GetRecordsRequest;
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import org.elasticsearch.client.ml.OpenJobRequest;
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import org.elasticsearch.client.ml.PutJobRequest;
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@ -126,6 +127,23 @@ final class MLRequestConverters {
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return request;
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}
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static Request getJobStats(GetJobStatsRequest getJobStatsRequest) {
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String endpoint = new EndpointBuilder()
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.addPathPartAsIs("_xpack")
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.addPathPartAsIs("ml")
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.addPathPartAsIs("anomaly_detectors")
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.addPathPart(Strings.collectionToCommaDelimitedString(getJobStatsRequest.getJobIds()))
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.addPathPartAsIs("_stats")
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.build();
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Request request = new Request(HttpGet.METHOD_NAME, endpoint);
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RequestConverters.Params params = new RequestConverters.Params(request);
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if (getJobStatsRequest.isAllowNoJobs() != null) {
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params.putParam("allow_no_jobs", Boolean.toString(getJobStatsRequest.isAllowNoJobs()));
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}
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return request;
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}
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static Request getRecords(GetRecordsRequest getRecordsRequest) throws IOException {
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String endpoint = new EndpointBuilder()
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.addPathPartAsIs("_xpack")
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@ -19,6 +19,9 @@
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package org.elasticsearch.client;
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import org.elasticsearch.action.ActionListener;
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import org.elasticsearch.client.ml.GetJobStatsRequest;
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import org.elasticsearch.client.ml.GetJobStatsResponse;
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import org.elasticsearch.client.ml.job.stats.JobStats;
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import org.elasticsearch.client.ml.CloseJobRequest;
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import org.elasticsearch.client.ml.CloseJobResponse;
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import org.elasticsearch.client.ml.DeleteJobRequest;
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@ -288,6 +291,47 @@ public final class MachineLearningClient {
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Collections.emptySet());
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}
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/**
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* Gets usage statistics for one or more Machine Learning jobs
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*
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* <p>
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* For additional info
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* see <a href="https://www.elastic.co/guide/en/elasticsearch/reference/current/ml-get-job-stats.html">Get Job stats docs</a>
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* </p>
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* @param request {@link GetJobStatsRequest} Request containing a list of jobId(s) and additional options
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* @param options Additional request options (e.g. headers), use {@link RequestOptions#DEFAULT} if nothing needs to be customized
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* @return {@link GetJobStatsResponse} response object containing
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* the {@link JobStats} objects and the number of jobs found
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* @throws IOException when there is a serialization issue sending the request or receiving the response
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*/
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public GetJobStatsResponse getJobStats(GetJobStatsRequest request, RequestOptions options) throws IOException {
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return restHighLevelClient.performRequestAndParseEntity(request,
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MLRequestConverters::getJobStats,
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options,
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GetJobStatsResponse::fromXContent,
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Collections.emptySet());
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}
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/**
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* Gets one or more Machine Learning job configuration info, asynchronously.
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*
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* <p>
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* For additional info
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* see <a href="https://www.elastic.co/guide/en/elasticsearch/reference/current/ml-get-job-stats.html">Get Job stats docs</a>
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* </p>
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* @param request {@link GetJobStatsRequest} Request containing a list of jobId(s) and additional options
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* @param options Additional request options (e.g. headers), use {@link RequestOptions#DEFAULT} if nothing needs to be customized
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* @param listener Listener to be notified with {@link GetJobStatsResponse} upon request completion
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*/
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public void getJobStatsAsync(GetJobStatsRequest request, RequestOptions options, ActionListener<GetJobStatsResponse> listener) {
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restHighLevelClient.performRequestAsyncAndParseEntity(request,
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MLRequestConverters::getJobStats,
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options,
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GetJobStatsResponse::fromXContent,
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listener,
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Collections.emptySet());
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}
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/**
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* Gets the records for a Machine Learning Job.
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* <p>
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@ -0,0 +1,146 @@
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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.ml;
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import org.elasticsearch.action.ActionRequest;
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import org.elasticsearch.action.ActionRequestValidationException;
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import org.elasticsearch.client.ml.job.config.Job;
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import org.elasticsearch.common.ParseField;
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import org.elasticsearch.common.Strings;
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import org.elasticsearch.common.xcontent.ConstructingObjectParser;
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import org.elasticsearch.common.xcontent.ObjectParser;
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import org.elasticsearch.common.xcontent.ToXContentObject;
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import org.elasticsearch.common.xcontent.XContentBuilder;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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import java.util.Objects;
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/**
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* Request object to get {@link org.elasticsearch.client.ml.job.stats.JobStats} by their respective jobIds
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*
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* `_all` explicitly gets all the jobs' statistics in the cluster
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* An empty request (no `jobId`s) implicitly gets all the jobs' statistics in the cluster
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*/
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public class GetJobStatsRequest extends ActionRequest implements ToXContentObject {
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public static final ParseField ALLOW_NO_JOBS = new ParseField("allow_no_jobs");
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@SuppressWarnings("unchecked")
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public static final ConstructingObjectParser<GetJobStatsRequest, Void> PARSER = new ConstructingObjectParser<>(
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"get_jobs_stats_request", a -> new GetJobStatsRequest((List<String>) a[0]));
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static {
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PARSER.declareField(ConstructingObjectParser.constructorArg(),
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p -> Arrays.asList(Strings.commaDelimitedListToStringArray(p.text())),
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Job.ID, ObjectParser.ValueType.STRING_ARRAY);
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PARSER.declareBoolean(GetJobStatsRequest::setAllowNoJobs, ALLOW_NO_JOBS);
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}
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private static final String ALL_JOBS = "_all";
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private final List<String> jobIds;
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private Boolean allowNoJobs;
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/**
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* Explicitly gets all jobs statistics
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*
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* @return a {@link GetJobStatsRequest} for all existing jobs
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*/
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public static GetJobStatsRequest getAllJobStatsRequest(){
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return new GetJobStatsRequest(ALL_JOBS);
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}
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GetJobStatsRequest(List<String> jobIds) {
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if (jobIds.stream().anyMatch(Objects::isNull)) {
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throw new NullPointerException("jobIds must not contain null values");
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}
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this.jobIds = new ArrayList<>(jobIds);
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}
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/**
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* Get the specified Job's statistics via their unique jobIds
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*
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* @param jobIds must be non-null and each jobId must be non-null
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*/
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public GetJobStatsRequest(String... jobIds) {
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this(Arrays.asList(jobIds));
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}
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/**
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* All the jobIds for which to get statistics
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*/
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public List<String> getJobIds() {
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return jobIds;
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}
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public Boolean isAllowNoJobs() {
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return this.allowNoJobs;
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}
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/**
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* Whether to ignore if a wildcard expression matches no jobs.
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*
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* This includes `_all` string or when no jobs have been specified
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*
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* @param allowNoJobs When {@code true} ignore if wildcard or `_all` matches no jobs. Defaults to {@code true}
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*/
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public void setAllowNoJobs(boolean allowNoJobs) {
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this.allowNoJobs = allowNoJobs;
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}
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@Override
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public int hashCode() {
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return Objects.hash(jobIds, allowNoJobs);
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}
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@Override
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public boolean equals(Object other) {
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if (this == other) {
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return true;
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}
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if (other == null || getClass() != other.getClass()) {
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return false;
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}
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GetJobStatsRequest that = (GetJobStatsRequest) other;
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return Objects.equals(jobIds, that.jobIds) &&
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Objects.equals(allowNoJobs, that.allowNoJobs);
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}
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@Override
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public ActionRequestValidationException validate() {
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return null;
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}
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@Override
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public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
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builder.startObject();
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builder.field(Job.ID.getPreferredName(), Strings.collectionToCommaDelimitedString(jobIds));
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if (allowNoJobs != null) {
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builder.field(ALLOW_NO_JOBS.getPreferredName(), allowNoJobs);
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}
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builder.endObject();
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return builder;
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}
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}
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@ -0,0 +1,88 @@
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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.ml;
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import org.elasticsearch.common.ParseField;
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import org.elasticsearch.common.Strings;
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import org.elasticsearch.common.xcontent.ConstructingObjectParser;
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import org.elasticsearch.common.xcontent.XContentParser;
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import org.elasticsearch.client.ml.job.stats.JobStats;
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import java.io.IOException;
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import java.util.List;
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import java.util.Objects;
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import static org.elasticsearch.common.xcontent.ConstructingObjectParser.constructorArg;
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/**
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* Contains a {@link List} of the found {@link JobStats} objects and the total count found
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*/
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public class GetJobStatsResponse extends AbstractResultResponse<JobStats> {
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public static final ParseField RESULTS_FIELD = new ParseField("jobs");
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@SuppressWarnings("unchecked")
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public static final ConstructingObjectParser<GetJobStatsResponse, Void> PARSER =
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new ConstructingObjectParser<>("jobs_stats_response", true,
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a -> new GetJobStatsResponse((List<JobStats>) a[0], (long) a[1]));
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static {
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PARSER.declareObjectArray(constructorArg(), JobStats.PARSER, RESULTS_FIELD);
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PARSER.declareLong(constructorArg(), COUNT);
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}
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GetJobStatsResponse(List<JobStats> jobStats, long count) {
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super(RESULTS_FIELD, jobStats, count);
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}
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/**
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* The collection of {@link JobStats} objects found in the query
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*/
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public List<JobStats> jobStats() {
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return results;
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}
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public static GetJobStatsResponse fromXContent(XContentParser parser) throws IOException {
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return PARSER.parse(parser, null);
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}
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@Override
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public int hashCode() {
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return Objects.hash(results, count);
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}
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@Override
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public boolean equals(Object obj) {
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if (this == obj) {
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return true;
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}
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if (obj == null || getClass() != obj.getClass()) {
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return false;
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}
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GetJobStatsResponse other = (GetJobStatsResponse) obj;
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return Objects.equals(results, other.results) && count == other.count;
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}
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@Override
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public final String toString() {
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return Strings.toString(this);
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}
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}
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@ -0,0 +1,150 @@
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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.ml;
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import org.elasticsearch.common.ParseField;
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import org.elasticsearch.common.xcontent.ConstructingObjectParser;
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import org.elasticsearch.common.xcontent.ObjectParser;
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import org.elasticsearch.common.xcontent.ToXContentObject;
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import org.elasticsearch.common.xcontent.XContentBuilder;
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import java.io.IOException;
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import java.util.Collections;
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import java.util.Map;
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import java.util.Objects;
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/**
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* A Pojo class containing an Elastic Node's attributes
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*/
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public class NodeAttributes implements ToXContentObject {
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public static final ParseField ID = new ParseField("id");
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public static final ParseField NAME = new ParseField("name");
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public static final ParseField EPHEMERAL_ID = new ParseField("ephemeral_id");
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public static final ParseField TRANSPORT_ADDRESS = new ParseField("transport_address");
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public static final ParseField ATTRIBUTES = new ParseField("attributes");
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@SuppressWarnings("unchecked")
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public static final ConstructingObjectParser<NodeAttributes, Void> PARSER =
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new ConstructingObjectParser<>("node", true,
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(a) -> {
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int i = 0;
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String id = (String) a[i++];
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String name = (String) a[i++];
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String ephemeralId = (String) a[i++];
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String transportAddress = (String) a[i++];
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Map<String, String> attributes = (Map<String, String>) a[i];
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return new NodeAttributes(id, name, ephemeralId, transportAddress, attributes);
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});
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static {
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PARSER.declareString(ConstructingObjectParser.constructorArg(), ID);
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PARSER.declareString(ConstructingObjectParser.constructorArg(), NAME);
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PARSER.declareString(ConstructingObjectParser.constructorArg(), EPHEMERAL_ID);
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PARSER.declareString(ConstructingObjectParser.constructorArg(), TRANSPORT_ADDRESS);
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PARSER.declareField(ConstructingObjectParser.constructorArg(),
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(p, c) -> p.mapStrings(),
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ATTRIBUTES,
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ObjectParser.ValueType.OBJECT);
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}
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private final String id;
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private final String name;
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private final String ephemeralId;
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private final String transportAddress;
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private final Map<String, String> attributes;
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public NodeAttributes(String id, String name, String ephemeralId, String transportAddress, Map<String, String> attributes) {
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this.id = id;
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this.name = name;
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this.ephemeralId = ephemeralId;
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this.transportAddress = transportAddress;
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this.attributes = Collections.unmodifiableMap(attributes);
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}
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/**
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* The unique identifier of the node.
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*/
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public String getId() {
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return id;
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}
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/**
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* The node name.
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*/
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public String getName() {
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return name;
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}
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/**
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* The ephemeral id of the node.
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*/
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public String getEphemeralId() {
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return ephemeralId;
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}
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/**
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* The host and port where transport HTTP connections are accepted.
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*/
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public String getTransportAddress() {
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return transportAddress;
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}
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/**
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* Additional attributes related to this node e.g., {"ml.max_open_jobs": "10"}.
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*/
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public Map<String, String> getAttributes() {
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return attributes;
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}
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@Override
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public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
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builder.startObject();
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builder.field(ID.getPreferredName(), id);
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builder.field(NAME.getPreferredName(), name);
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builder.field(EPHEMERAL_ID.getPreferredName(), ephemeralId);
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builder.field(TRANSPORT_ADDRESS.getPreferredName(), transportAddress);
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builder.field(ATTRIBUTES.getPreferredName(), attributes);
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builder.endObject();
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return builder;
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}
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@Override
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public int hashCode() {
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return Objects.hash(id, name, ephemeralId, transportAddress, attributes);
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}
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@Override
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public boolean equals(Object other) {
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if (this == other) {
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return true;
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||||
}
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||||
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if (other == null || getClass() != other.getClass()) {
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return false;
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}
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NodeAttributes that = (NodeAttributes) other;
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return Objects.equals(id, that.id) &&
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Objects.equals(name, that.name) &&
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Objects.equals(ephemeralId, that.ephemeralId) &&
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Objects.equals(transportAddress, that.transportAddress) &&
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Objects.equals(attributes, that.attributes);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,39 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch 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.
|
||||
*/
|
||||
package org.elasticsearch.client.ml.job.config;
|
||||
|
||||
import java.util.Locale;
|
||||
|
||||
/**
|
||||
* Jobs whether running or complete are in one of these states.
|
||||
* When a job is created it is initialised in the state closed
|
||||
* i.e. it is not running.
|
||||
*/
|
||||
public enum JobState {
|
||||
|
||||
CLOSING, CLOSED, OPENED, FAILED, OPENING;
|
||||
|
||||
public static JobState fromString(String name) {
|
||||
return valueOf(name.trim().toUpperCase(Locale.ROOT));
|
||||
}
|
||||
|
||||
public String value() {
|
||||
return name().toLowerCase(Locale.ROOT);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,174 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch 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.
|
||||
*/
|
||||
package org.elasticsearch.client.ml.job.stats;
|
||||
|
||||
import org.elasticsearch.common.ParseField;
|
||||
import org.elasticsearch.common.xcontent.ConstructingObjectParser;
|
||||
import org.elasticsearch.common.xcontent.ObjectParser;
|
||||
import org.elasticsearch.common.xcontent.ToXContentObject;
|
||||
import org.elasticsearch.common.xcontent.XContentBuilder;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.Collections;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
import java.util.Objects;
|
||||
|
||||
/**
|
||||
* A class to hold statistics about forecasts.
|
||||
*/
|
||||
public class ForecastStats implements ToXContentObject {
|
||||
|
||||
public static final ParseField TOTAL = new ParseField("total");
|
||||
public static final ParseField FORECASTED_JOBS = new ParseField("forecasted_jobs");
|
||||
public static final ParseField MEMORY_BYTES = new ParseField("memory_bytes");
|
||||
public static final ParseField PROCESSING_TIME_MS = new ParseField("processing_time_ms");
|
||||
public static final ParseField RECORDS = new ParseField("records");
|
||||
public static final ParseField STATUS = new ParseField("status");
|
||||
|
||||
@SuppressWarnings("unchecked")
|
||||
public static final ConstructingObjectParser<ForecastStats, Void> PARSER =
|
||||
new ConstructingObjectParser<>("forecast_stats",
|
||||
true,
|
||||
(a) -> {
|
||||
int i = 0;
|
||||
long total = (long)a[i++];
|
||||
SimpleStats memoryStats = (SimpleStats)a[i++];
|
||||
SimpleStats recordStats = (SimpleStats)a[i++];
|
||||
SimpleStats runtimeStats = (SimpleStats)a[i++];
|
||||
Map<String, Long> statusCounts = (Map<String, Long>)a[i];
|
||||
return new ForecastStats(total, memoryStats, recordStats, runtimeStats, statusCounts);
|
||||
});
|
||||
|
||||
static {
|
||||
PARSER.declareLong(ConstructingObjectParser.constructorArg(), TOTAL);
|
||||
PARSER.declareObject(ConstructingObjectParser.optionalConstructorArg(), SimpleStats.PARSER, MEMORY_BYTES);
|
||||
PARSER.declareObject(ConstructingObjectParser.optionalConstructorArg(), SimpleStats.PARSER, RECORDS);
|
||||
PARSER.declareObject(ConstructingObjectParser.optionalConstructorArg(), SimpleStats.PARSER, PROCESSING_TIME_MS);
|
||||
PARSER.declareField(ConstructingObjectParser.optionalConstructorArg(),
|
||||
p -> {
|
||||
Map<String, Long> counts = new HashMap<>();
|
||||
p.map().forEach((key, value) -> counts.put(key, ((Number)value).longValue()));
|
||||
return counts;
|
||||
}, STATUS, ObjectParser.ValueType.OBJECT);
|
||||
}
|
||||
|
||||
private final long total;
|
||||
private final long forecastedJobs;
|
||||
private SimpleStats memoryStats;
|
||||
private SimpleStats recordStats;
|
||||
private SimpleStats runtimeStats;
|
||||
private Map<String, Long> statusCounts;
|
||||
|
||||
public ForecastStats(long total,
|
||||
SimpleStats memoryStats,
|
||||
SimpleStats recordStats,
|
||||
SimpleStats runtimeStats,
|
||||
Map<String, Long> statusCounts) {
|
||||
this.total = total;
|
||||
this.forecastedJobs = total > 0 ? 1 : 0;
|
||||
if (total > 0) {
|
||||
this.memoryStats = Objects.requireNonNull(memoryStats);
|
||||
this.recordStats = Objects.requireNonNull(recordStats);
|
||||
this.runtimeStats = Objects.requireNonNull(runtimeStats);
|
||||
this.statusCounts = Collections.unmodifiableMap(statusCounts);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* The number of forecasts currently available for this model.
|
||||
*/
|
||||
public long getTotal() {
|
||||
return total;
|
||||
}
|
||||
|
||||
/**
|
||||
* The number of jobs that have at least one forecast.
|
||||
*/
|
||||
public long getForecastedJobs() {
|
||||
return forecastedJobs;
|
||||
}
|
||||
|
||||
/**
|
||||
* Statistics about the memory usage: minimum, maximum, average and total.
|
||||
*/
|
||||
public SimpleStats getMemoryStats() {
|
||||
return memoryStats;
|
||||
}
|
||||
|
||||
/**
|
||||
* Statistics about the number of forecast records: minimum, maximum, average and total.
|
||||
*/
|
||||
public SimpleStats getRecordStats() {
|
||||
return recordStats;
|
||||
}
|
||||
|
||||
/**
|
||||
* Statistics about the forecast runtime in milliseconds: minimum, maximum, average and total
|
||||
*/
|
||||
public SimpleStats getRuntimeStats() {
|
||||
return runtimeStats;
|
||||
}
|
||||
|
||||
/**
|
||||
* Counts per forecast status, for example: {"finished" : 2}.
|
||||
*/
|
||||
public Map<String, Long> getStatusCounts() {
|
||||
return statusCounts;
|
||||
}
|
||||
|
||||
@Override
|
||||
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
|
||||
builder.startObject();
|
||||
builder.field(TOTAL.getPreferredName(), total);
|
||||
builder.field(FORECASTED_JOBS.getPreferredName(), forecastedJobs);
|
||||
|
||||
if (total > 0) {
|
||||
builder.field(MEMORY_BYTES.getPreferredName(), memoryStats);
|
||||
builder.field(RECORDS.getPreferredName(), recordStats);
|
||||
builder.field(PROCESSING_TIME_MS.getPreferredName(), runtimeStats);
|
||||
builder.field(STATUS.getPreferredName(), statusCounts);
|
||||
}
|
||||
return builder.endObject();
|
||||
}
|
||||
|
||||
@Override
|
||||
public int hashCode() {
|
||||
return Objects.hash(total, forecastedJobs, memoryStats, recordStats, runtimeStats, statusCounts);
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean equals(Object obj) {
|
||||
if (this == obj) {
|
||||
return true;
|
||||
}
|
||||
|
||||
if (obj == null || getClass() != obj.getClass()) {
|
||||
return false;
|
||||
}
|
||||
|
||||
ForecastStats other = (ForecastStats) obj;
|
||||
return Objects.equals(total, other.total) &&
|
||||
Objects.equals(forecastedJobs, other.forecastedJobs) &&
|
||||
Objects.equals(memoryStats, other.memoryStats) &&
|
||||
Objects.equals(recordStats, other.recordStats) &&
|
||||
Objects.equals(runtimeStats, other.runtimeStats) &&
|
||||
Objects.equals(statusCounts, other.statusCounts);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,225 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch 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.
|
||||
*/
|
||||
package org.elasticsearch.client.ml.job.stats;
|
||||
|
||||
import org.elasticsearch.client.ml.job.config.Job;
|
||||
import org.elasticsearch.client.ml.job.config.JobState;
|
||||
import org.elasticsearch.client.ml.job.process.DataCounts;
|
||||
import org.elasticsearch.client.ml.job.process.ModelSizeStats;
|
||||
import org.elasticsearch.common.Nullable;
|
||||
import org.elasticsearch.common.ParseField;
|
||||
import org.elasticsearch.common.unit.TimeValue;
|
||||
import org.elasticsearch.common.xcontent.ConstructingObjectParser;
|
||||
import org.elasticsearch.common.xcontent.ObjectParser;
|
||||
import org.elasticsearch.common.xcontent.ToXContentObject;
|
||||
import org.elasticsearch.common.xcontent.XContentBuilder;
|
||||
import org.elasticsearch.client.ml.NodeAttributes;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.Objects;
|
||||
|
||||
/**
|
||||
* Class containing the statistics for a Machine Learning job.
|
||||
*
|
||||
*/
|
||||
public class JobStats implements ToXContentObject {
|
||||
|
||||
private static final ParseField DATA_COUNTS = new ParseField("data_counts");
|
||||
private static final ParseField MODEL_SIZE_STATS = new ParseField("model_size_stats");
|
||||
private static final ParseField FORECASTS_STATS = new ParseField("forecasts_stats");
|
||||
private static final ParseField STATE = new ParseField("state");
|
||||
private static final ParseField NODE = new ParseField("node");
|
||||
private static final ParseField OPEN_TIME = new ParseField("open_time");
|
||||
private static final ParseField ASSIGNMENT_EXPLANATION = new ParseField("assignment_explanation");
|
||||
|
||||
public static final ConstructingObjectParser<JobStats, Void> PARSER =
|
||||
new ConstructingObjectParser<>("job_stats",
|
||||
true,
|
||||
(a) -> {
|
||||
int i = 0;
|
||||
String jobId = (String) a[i++];
|
||||
DataCounts dataCounts = (DataCounts) a[i++];
|
||||
JobState jobState = (JobState) a[i++];
|
||||
ModelSizeStats.Builder modelSizeStatsBuilder = (ModelSizeStats.Builder) a[i++];
|
||||
ModelSizeStats modelSizeStats = modelSizeStatsBuilder == null ? null : modelSizeStatsBuilder.build();
|
||||
ForecastStats forecastStats = (ForecastStats) a[i++];
|
||||
NodeAttributes node = (NodeAttributes) a[i++];
|
||||
String assignmentExplanation = (String) a[i++];
|
||||
TimeValue openTime = (TimeValue) a[i];
|
||||
return new JobStats(jobId,
|
||||
dataCounts,
|
||||
jobState,
|
||||
modelSizeStats,
|
||||
forecastStats,
|
||||
node,
|
||||
assignmentExplanation,
|
||||
openTime);
|
||||
});
|
||||
|
||||
static {
|
||||
PARSER.declareString(ConstructingObjectParser.constructorArg(), Job.ID);
|
||||
PARSER.declareObject(ConstructingObjectParser.constructorArg(), DataCounts.PARSER, DATA_COUNTS);
|
||||
PARSER.declareField(ConstructingObjectParser.constructorArg(),
|
||||
(p) -> JobState.fromString(p.text()),
|
||||
STATE,
|
||||
ObjectParser.ValueType.VALUE);
|
||||
PARSER.declareObject(ConstructingObjectParser.optionalConstructorArg(), ModelSizeStats.PARSER, MODEL_SIZE_STATS);
|
||||
PARSER.declareObject(ConstructingObjectParser.optionalConstructorArg(), ForecastStats.PARSER, FORECASTS_STATS);
|
||||
PARSER.declareObject(ConstructingObjectParser.optionalConstructorArg(), NodeAttributes.PARSER, NODE);
|
||||
PARSER.declareString(ConstructingObjectParser.optionalConstructorArg(), ASSIGNMENT_EXPLANATION);
|
||||
PARSER.declareField(ConstructingObjectParser.optionalConstructorArg(),
|
||||
(p, c) -> TimeValue.parseTimeValue(p.textOrNull(), OPEN_TIME.getPreferredName()),
|
||||
OPEN_TIME,
|
||||
ObjectParser.ValueType.STRING_OR_NULL);
|
||||
}
|
||||
|
||||
|
||||
private final String jobId;
|
||||
private final DataCounts dataCounts;
|
||||
private final JobState state;
|
||||
private final ModelSizeStats modelSizeStats;
|
||||
private final ForecastStats forecastStats;
|
||||
private final NodeAttributes node;
|
||||
private final String assignmentExplanation;
|
||||
private final TimeValue openTime;
|
||||
|
||||
JobStats(String jobId, DataCounts dataCounts, JobState state, @Nullable ModelSizeStats modelSizeStats,
|
||||
@Nullable ForecastStats forecastStats, @Nullable NodeAttributes node,
|
||||
@Nullable String assignmentExplanation, @Nullable TimeValue opentime) {
|
||||
this.jobId = Objects.requireNonNull(jobId);
|
||||
this.dataCounts = Objects.requireNonNull(dataCounts);
|
||||
this.state = Objects.requireNonNull(state);
|
||||
this.modelSizeStats = modelSizeStats;
|
||||
this.forecastStats = forecastStats;
|
||||
this.node = node;
|
||||
this.assignmentExplanation = assignmentExplanation;
|
||||
this.openTime = opentime;
|
||||
}
|
||||
|
||||
/**
|
||||
* The jobId referencing the job for these statistics
|
||||
*/
|
||||
public String getJobId() {
|
||||
return jobId;
|
||||
}
|
||||
|
||||
/**
|
||||
* An object that describes the number of records processed and any related error counts
|
||||
* See {@link DataCounts}
|
||||
*/
|
||||
public DataCounts getDataCounts() {
|
||||
return dataCounts;
|
||||
}
|
||||
|
||||
/**
|
||||
* An object that provides information about the size and contents of the model.
|
||||
* See {@link ModelSizeStats}
|
||||
*/
|
||||
public ModelSizeStats getModelSizeStats() {
|
||||
return modelSizeStats;
|
||||
}
|
||||
|
||||
/**
|
||||
* An object that provides statistical information about forecasts of this job.
|
||||
* See {@link ForecastStats}
|
||||
*/
|
||||
public ForecastStats getForecastStats() {
|
||||
return forecastStats;
|
||||
}
|
||||
|
||||
/**
|
||||
* The status of the job
|
||||
* See {@link JobState}
|
||||
*/
|
||||
public JobState getState() {
|
||||
return state;
|
||||
}
|
||||
|
||||
/**
|
||||
* For open jobs only, contains information about the node where the job runs
|
||||
* See {@link NodeAttributes}
|
||||
*/
|
||||
public NodeAttributes getNode() {
|
||||
return node;
|
||||
}
|
||||
|
||||
/**
|
||||
* For open jobs only, contains messages relating to the selection of a node to run the job.
|
||||
*/
|
||||
public String getAssignmentExplanation() {
|
||||
return assignmentExplanation;
|
||||
}
|
||||
|
||||
/**
|
||||
* For open jobs only, the elapsed time for which the job has been open
|
||||
*/
|
||||
public TimeValue getOpenTime() {
|
||||
return openTime;
|
||||
}
|
||||
|
||||
@Override
|
||||
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
|
||||
builder.startObject();
|
||||
builder.field(Job.ID.getPreferredName(), jobId);
|
||||
builder.field(DATA_COUNTS.getPreferredName(), dataCounts);
|
||||
builder.field(STATE.getPreferredName(), state.toString());
|
||||
if (modelSizeStats != null) {
|
||||
builder.field(MODEL_SIZE_STATS.getPreferredName(), modelSizeStats);
|
||||
}
|
||||
if (forecastStats != null) {
|
||||
builder.field(FORECASTS_STATS.getPreferredName(), forecastStats);
|
||||
}
|
||||
if (node != null) {
|
||||
builder.field(NODE.getPreferredName(), node);
|
||||
}
|
||||
if (assignmentExplanation != null) {
|
||||
builder.field(ASSIGNMENT_EXPLANATION.getPreferredName(), assignmentExplanation);
|
||||
}
|
||||
if (openTime != null) {
|
||||
builder.field(OPEN_TIME.getPreferredName(), openTime.getStringRep());
|
||||
}
|
||||
return builder.endObject();
|
||||
}
|
||||
|
||||
@Override
|
||||
public int hashCode() {
|
||||
return Objects.hash(jobId, dataCounts, modelSizeStats, forecastStats, state, node, assignmentExplanation, openTime);
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean equals(Object obj) {
|
||||
if (this == obj) {
|
||||
return true;
|
||||
}
|
||||
|
||||
if (obj == null || getClass() != obj.getClass()) {
|
||||
return false;
|
||||
}
|
||||
|
||||
JobStats other = (JobStats) obj;
|
||||
return Objects.equals(jobId, other.jobId) &&
|
||||
Objects.equals(this.dataCounts, other.dataCounts) &&
|
||||
Objects.equals(this.modelSizeStats, other.modelSizeStats) &&
|
||||
Objects.equals(this.forecastStats, other.forecastStats) &&
|
||||
Objects.equals(this.state, other.state) &&
|
||||
Objects.equals(this.node, other.node) &&
|
||||
Objects.equals(this.assignmentExplanation, other.assignmentExplanation) &&
|
||||
Objects.equals(this.openTime, other.openTime);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,117 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch 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.
|
||||
*/
|
||||
package org.elasticsearch.client.ml.job.stats;
|
||||
|
||||
import org.elasticsearch.common.ParseField;
|
||||
import org.elasticsearch.common.xcontent.ConstructingObjectParser;
|
||||
import org.elasticsearch.common.xcontent.ToXContentObject;
|
||||
import org.elasticsearch.common.xcontent.XContentBuilder;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.Objects;
|
||||
|
||||
/**
|
||||
* Helper class for min, max, avg and total statistics for a quantity
|
||||
*/
|
||||
public class SimpleStats implements ToXContentObject {
|
||||
|
||||
public static final ParseField MIN = new ParseField("min");
|
||||
public static final ParseField MAX = new ParseField("max");
|
||||
public static final ParseField AVG = new ParseField("avg");
|
||||
public static final ParseField TOTAL = new ParseField("total");
|
||||
|
||||
public static final ConstructingObjectParser<SimpleStats, Void> PARSER = new ConstructingObjectParser<>("simple_stats", true,
|
||||
(a) -> {
|
||||
int i = 0;
|
||||
double total = (double)a[i++];
|
||||
double min = (double)a[i++];
|
||||
double max = (double)a[i++];
|
||||
double avg = (double)a[i++];
|
||||
return new SimpleStats(total, min, max, avg);
|
||||
});
|
||||
|
||||
static {
|
||||
PARSER.declareDouble(ConstructingObjectParser.constructorArg(), TOTAL);
|
||||
PARSER.declareDouble(ConstructingObjectParser.constructorArg(), MIN);
|
||||
PARSER.declareDouble(ConstructingObjectParser.constructorArg(), MAX);
|
||||
PARSER.declareDouble(ConstructingObjectParser.constructorArg(), AVG);
|
||||
}
|
||||
|
||||
private final double total;
|
||||
private final double min;
|
||||
private final double max;
|
||||
private final double avg;
|
||||
|
||||
SimpleStats(double total, double min, double max, double avg) {
|
||||
this.total = total;
|
||||
this.min = min;
|
||||
this.max = max;
|
||||
this.avg = avg;
|
||||
}
|
||||
|
||||
public double getMin() {
|
||||
return min;
|
||||
}
|
||||
|
||||
public double getMax() {
|
||||
return max;
|
||||
}
|
||||
|
||||
public double getAvg() {
|
||||
return avg;
|
||||
}
|
||||
|
||||
public double getTotal() {
|
||||
return total;
|
||||
}
|
||||
|
||||
@Override
|
||||
public int hashCode() {
|
||||
return Objects.hash(total, min, max, avg);
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean equals(Object obj) {
|
||||
if (this == obj) {
|
||||
return true;
|
||||
}
|
||||
|
||||
if (obj == null || getClass() != obj.getClass()) {
|
||||
return false;
|
||||
}
|
||||
|
||||
SimpleStats other = (SimpleStats) obj;
|
||||
return Objects.equals(total, other.total) &&
|
||||
Objects.equals(min, other.min) &&
|
||||
Objects.equals(avg, other.avg) &&
|
||||
Objects.equals(max, other.max);
|
||||
}
|
||||
|
||||
@Override
|
||||
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
|
||||
builder.startObject();
|
||||
builder.field(MIN.getPreferredName(), min);
|
||||
builder.field(MAX.getPreferredName(), max);
|
||||
builder.field(AVG.getPreferredName(), avg);
|
||||
builder.field(TOTAL.getPreferredName(), total);
|
||||
builder.endObject();
|
||||
return builder;
|
||||
}
|
||||
}
|
||||
|
|
@ -36,6 +36,7 @@ import org.elasticsearch.client.ml.job.util.PageParams;
|
|||
import org.elasticsearch.common.unit.TimeValue;
|
||||
import org.elasticsearch.common.xcontent.XContentParser;
|
||||
import org.elasticsearch.common.xcontent.json.JsonXContent;
|
||||
import org.elasticsearch.client.ml.GetJobStatsRequest;
|
||||
import org.elasticsearch.test.ESTestCase;
|
||||
|
||||
import java.io.ByteArrayOutputStream;
|
||||
|
@ -139,6 +140,23 @@ public class MLRequestConvertersTests extends ESTestCase {
|
|||
}
|
||||
}
|
||||
|
||||
public void testGetJobStats() {
|
||||
GetJobStatsRequest getJobStatsRequestRequest = new GetJobStatsRequest();
|
||||
|
||||
Request request = MLRequestConverters.getJobStats(getJobStatsRequestRequest);
|
||||
|
||||
assertEquals(HttpGet.METHOD_NAME, request.getMethod());
|
||||
assertEquals("/_xpack/ml/anomaly_detectors/_stats", request.getEndpoint());
|
||||
assertFalse(request.getParameters().containsKey("allow_no_jobs"));
|
||||
|
||||
getJobStatsRequestRequest = new GetJobStatsRequest("job1", "jobs*");
|
||||
getJobStatsRequestRequest.setAllowNoJobs(true);
|
||||
request = MLRequestConverters.getJobStats(getJobStatsRequestRequest);
|
||||
|
||||
assertEquals("/_xpack/ml/anomaly_detectors/job1,jobs*/_stats", request.getEndpoint());
|
||||
assertEquals(Boolean.toString(true), request.getParameters().get("allow_no_jobs"));
|
||||
}
|
||||
|
||||
private static Job createValidJob(String jobId) {
|
||||
AnalysisConfig.Builder analysisConfig = AnalysisConfig.builder(Collections.singletonList(
|
||||
Detector.builder().setFunction("count").build()));
|
||||
|
|
|
@ -19,6 +19,12 @@
|
|||
package org.elasticsearch.client;
|
||||
|
||||
import com.carrotsearch.randomizedtesting.generators.CodepointSetGenerator;
|
||||
import org.elasticsearch.ElasticsearchStatusException;
|
||||
import org.elasticsearch.common.unit.TimeValue;
|
||||
import org.elasticsearch.client.ml.GetJobStatsRequest;
|
||||
import org.elasticsearch.client.ml.GetJobStatsResponse;
|
||||
import org.elasticsearch.client.ml.job.config.JobState;
|
||||
import org.elasticsearch.client.ml.job.stats.JobStats;
|
||||
import org.elasticsearch.client.ml.CloseJobRequest;
|
||||
import org.elasticsearch.client.ml.CloseJobResponse;
|
||||
import org.elasticsearch.client.ml.DeleteJobRequest;
|
||||
|
@ -33,7 +39,6 @@ import org.elasticsearch.client.ml.job.config.AnalysisConfig;
|
|||
import org.elasticsearch.client.ml.job.config.DataDescription;
|
||||
import org.elasticsearch.client.ml.job.config.Detector;
|
||||
import org.elasticsearch.client.ml.job.config.Job;
|
||||
import org.elasticsearch.common.unit.TimeValue;
|
||||
import org.junit.After;
|
||||
|
||||
import java.io.IOException;
|
||||
|
@ -41,6 +46,7 @@ import java.util.Arrays;
|
|||
import java.util.concurrent.TimeUnit;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import static org.hamcrest.CoreMatchers.equalTo;
|
||||
import static org.hamcrest.CoreMatchers.hasItems;
|
||||
import static org.hamcrest.Matchers.containsInAnyOrder;
|
||||
import static org.hamcrest.Matchers.hasSize;
|
||||
|
@ -138,6 +144,64 @@ public class MachineLearningIT extends ESRestHighLevelClientTestCase {
|
|||
assertTrue(response.isClosed());
|
||||
}
|
||||
|
||||
public void testGetJobStats() throws Exception {
|
||||
String jobId1 = "ml-get-job-stats-test-id-1";
|
||||
String jobId2 = "ml-get-job-stats-test-id-2";
|
||||
|
||||
Job job1 = buildJob(jobId1);
|
||||
Job job2 = buildJob(jobId2);
|
||||
MachineLearningClient machineLearningClient = highLevelClient().machineLearning();
|
||||
machineLearningClient.putJob(new PutJobRequest(job1), RequestOptions.DEFAULT);
|
||||
machineLearningClient.putJob(new PutJobRequest(job2), RequestOptions.DEFAULT);
|
||||
|
||||
machineLearningClient.openJob(new OpenJobRequest(jobId1), RequestOptions.DEFAULT);
|
||||
|
||||
GetJobStatsRequest request = new GetJobStatsRequest(jobId1, jobId2);
|
||||
|
||||
// Test getting specific
|
||||
GetJobStatsResponse response = execute(request, machineLearningClient::getJobStats, machineLearningClient::getJobStatsAsync);
|
||||
|
||||
assertEquals(2, response.count());
|
||||
assertThat(response.jobStats(), hasSize(2));
|
||||
assertThat(response.jobStats().stream().map(JobStats::getJobId).collect(Collectors.toList()), containsInAnyOrder(jobId1, jobId2));
|
||||
for (JobStats stats : response.jobStats()) {
|
||||
if (stats.getJobId().equals(jobId1)) {
|
||||
assertEquals(JobState.OPENED, stats.getState());
|
||||
} else {
|
||||
assertEquals(JobState.CLOSED, stats.getState());
|
||||
}
|
||||
}
|
||||
|
||||
// Test getting all explicitly
|
||||
request = GetJobStatsRequest.getAllJobStatsRequest();
|
||||
response = execute(request, machineLearningClient::getJobStats, machineLearningClient::getJobStatsAsync);
|
||||
|
||||
assertTrue(response.count() >= 2L);
|
||||
assertTrue(response.jobStats().size() >= 2L);
|
||||
assertThat(response.jobStats().stream().map(JobStats::getJobId).collect(Collectors.toList()), hasItems(jobId1, jobId2));
|
||||
|
||||
// Test getting all implicitly
|
||||
response = execute(new GetJobStatsRequest(), machineLearningClient::getJobStats, machineLearningClient::getJobStatsAsync);
|
||||
|
||||
assertTrue(response.count() >= 2L);
|
||||
assertTrue(response.jobStats().size() >= 2L);
|
||||
assertThat(response.jobStats().stream().map(JobStats::getJobId).collect(Collectors.toList()), hasItems(jobId1, jobId2));
|
||||
|
||||
// Test getting all with wildcard
|
||||
request = new GetJobStatsRequest("ml-get-job-stats-test-id-*");
|
||||
response = execute(request, machineLearningClient::getJobStats, machineLearningClient::getJobStatsAsync);
|
||||
assertTrue(response.count() >= 2L);
|
||||
assertTrue(response.jobStats().size() >= 2L);
|
||||
assertThat(response.jobStats().stream().map(JobStats::getJobId).collect(Collectors.toList()), hasItems(jobId1, jobId2));
|
||||
|
||||
// Test when allow_no_jobs is false
|
||||
final GetJobStatsRequest erroredRequest = new GetJobStatsRequest("jobs-that-do-not-exist*");
|
||||
erroredRequest.setAllowNoJobs(false);
|
||||
ElasticsearchStatusException exception = expectThrows(ElasticsearchStatusException.class,
|
||||
() -> execute(erroredRequest, machineLearningClient::getJobStats, machineLearningClient::getJobStatsAsync));
|
||||
assertThat(exception.status().getStatus(), equalTo(404));
|
||||
}
|
||||
|
||||
public static String randomValidJobId() {
|
||||
CodepointSetGenerator generator = new CodepointSetGenerator("abcdefghijklmnopqrstuvwxyz0123456789".toCharArray());
|
||||
return generator.ofCodePointsLength(random(), 10, 10);
|
||||
|
|
|
@ -35,6 +35,8 @@ import org.elasticsearch.client.ml.GetBucketsRequest;
|
|||
import org.elasticsearch.client.ml.GetBucketsResponse;
|
||||
import org.elasticsearch.client.ml.GetJobRequest;
|
||||
import org.elasticsearch.client.ml.GetJobResponse;
|
||||
import org.elasticsearch.client.ml.GetJobStatsRequest;
|
||||
import org.elasticsearch.client.ml.GetJobStatsResponse;
|
||||
import org.elasticsearch.client.ml.GetRecordsRequest;
|
||||
import org.elasticsearch.client.ml.GetRecordsResponse;
|
||||
import org.elasticsearch.client.ml.OpenJobRequest;
|
||||
|
@ -50,6 +52,7 @@ import org.elasticsearch.client.ml.job.results.Bucket;
|
|||
import org.elasticsearch.client.ml.job.util.PageParams;
|
||||
import org.elasticsearch.common.unit.TimeValue;
|
||||
import org.elasticsearch.common.xcontent.XContentType;
|
||||
import org.elasticsearch.client.ml.job.stats.JobStats;
|
||||
import org.junit.After;
|
||||
|
||||
import java.io.IOException;
|
||||
|
@ -458,6 +461,64 @@ public class MlClientDocumentationIT extends ESRestHighLevelClientTestCase {
|
|||
}
|
||||
}
|
||||
|
||||
public void testGetJobStats() throws Exception {
|
||||
RestHighLevelClient client = highLevelClient();
|
||||
|
||||
Job job = MachineLearningIT.buildJob("get-machine-learning-job-stats1");
|
||||
client.machineLearning().putJob(new PutJobRequest(job), RequestOptions.DEFAULT);
|
||||
|
||||
Job secondJob = MachineLearningIT.buildJob("get-machine-learning-job-stats2");
|
||||
client.machineLearning().putJob(new PutJobRequest(secondJob), RequestOptions.DEFAULT);
|
||||
|
||||
{
|
||||
//tag::x-pack-ml-get-job-stats-request
|
||||
GetJobStatsRequest request = new GetJobStatsRequest("get-machine-learning-job-stats1", "get-machine-learning-job-*"); //<1>
|
||||
request.setAllowNoJobs(true); //<2>
|
||||
//end::x-pack-ml-get-job-stats-request
|
||||
|
||||
//tag::x-pack-ml-get-job-stats-execute
|
||||
GetJobStatsResponse response = client.machineLearning().getJobStats(request, RequestOptions.DEFAULT);
|
||||
//end::x-pack-ml-get-job-stats-execute
|
||||
|
||||
//tag::x-pack-ml-get-job-stats-response
|
||||
long numberOfJobStats = response.count(); //<1>
|
||||
List<JobStats> jobStats = response.jobStats(); //<2>
|
||||
//end::x-pack-ml-get-job-stats-response
|
||||
|
||||
assertEquals(2, response.count());
|
||||
assertThat(response.jobStats(), hasSize(2));
|
||||
assertThat(response.jobStats().stream().map(JobStats::getJobId).collect(Collectors.toList()),
|
||||
containsInAnyOrder(job.getId(), secondJob.getId()));
|
||||
}
|
||||
{
|
||||
GetJobStatsRequest request = new GetJobStatsRequest("get-machine-learning-job-stats1", "get-machine-learning-job-*");
|
||||
|
||||
// tag::x-pack-ml-get-job-stats-listener
|
||||
ActionListener<GetJobStatsResponse> listener = new ActionListener<GetJobStatsResponse>() {
|
||||
@Override
|
||||
public void onResponse(GetJobStatsResponse response) {
|
||||
// <1>
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onFailure(Exception e) {
|
||||
// <2>
|
||||
}
|
||||
};
|
||||
// end::x-pack-ml-get-job-stats-listener
|
||||
|
||||
// Replace the empty listener by a blocking listener in test
|
||||
final CountDownLatch latch = new CountDownLatch(1);
|
||||
listener = new LatchedActionListener<>(listener, latch);
|
||||
|
||||
// tag::x-pack-ml-get-job-stats-execute-async
|
||||
client.machineLearning().getJobStatsAsync(request, RequestOptions.DEFAULT, listener); // <1>
|
||||
// end::x-pack-ml-get-job-stats-execute-async
|
||||
|
||||
assertTrue(latch.await(30L, TimeUnit.SECONDS));
|
||||
}
|
||||
}
|
||||
|
||||
public void testGetRecords() throws IOException, InterruptedException {
|
||||
RestHighLevelClient client = highLevelClient();
|
||||
|
||||
|
|
|
@ -26,6 +26,7 @@ import org.elasticsearch.test.AbstractXContentTestCase;
|
|||
import java.io.IOException;
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
import java.util.function.Predicate;
|
||||
|
||||
public class GetJobResponseTests extends AbstractXContentTestCase<GetJobResponse> {
|
||||
|
||||
|
@ -46,8 +47,13 @@ public class GetJobResponseTests extends AbstractXContentTestCase<GetJobResponse
|
|||
return GetJobResponse.fromXContent(parser);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Predicate<String> getRandomFieldsExcludeFilter() {
|
||||
return field -> !field.isEmpty();
|
||||
}
|
||||
|
||||
@Override
|
||||
protected boolean supportsUnknownFields() {
|
||||
return false;
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
|
|
@ -0,0 +1,69 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch 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.
|
||||
*/
|
||||
package org.elasticsearch.client.ml;
|
||||
|
||||
import org.elasticsearch.common.xcontent.XContentParser;
|
||||
import org.elasticsearch.test.AbstractXContentTestCase;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
|
||||
public class GetJobStatsRequestTests extends AbstractXContentTestCase<GetJobStatsRequest> {
|
||||
|
||||
public void testAllJobsRequest() {
|
||||
GetJobStatsRequest request = GetJobStatsRequest.getAllJobStatsRequest();
|
||||
|
||||
assertEquals(request.getJobIds().size(), 1);
|
||||
assertEquals(request.getJobIds().get(0), "_all");
|
||||
}
|
||||
|
||||
public void testNewWithJobId() {
|
||||
Exception exception = expectThrows(NullPointerException.class, () -> new GetJobStatsRequest("job", null));
|
||||
assertEquals(exception.getMessage(), "jobIds must not contain null values");
|
||||
}
|
||||
|
||||
@Override
|
||||
protected GetJobStatsRequest createTestInstance() {
|
||||
int jobCount = randomIntBetween(0, 10);
|
||||
List<String> jobIds = new ArrayList<>(jobCount);
|
||||
|
||||
for (int i = 0; i < jobCount; i++) {
|
||||
jobIds.add(randomAlphaOfLength(10));
|
||||
}
|
||||
|
||||
GetJobStatsRequest request = new GetJobStatsRequest(jobIds);
|
||||
|
||||
if (randomBoolean()) {
|
||||
request.setAllowNoJobs(randomBoolean());
|
||||
}
|
||||
|
||||
return request;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected GetJobStatsRequest doParseInstance(XContentParser parser) throws IOException {
|
||||
return GetJobStatsRequest.PARSER.parse(parser, null);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected boolean supportsUnknownFields() {
|
||||
return false;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,53 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch 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.
|
||||
*/
|
||||
package org.elasticsearch.client.ml;
|
||||
|
||||
import org.elasticsearch.common.xcontent.XContentParser;
|
||||
import org.elasticsearch.client.ml.job.stats.JobStats;
|
||||
import org.elasticsearch.client.ml.job.stats.JobStatsTests;
|
||||
import org.elasticsearch.test.AbstractXContentTestCase;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
|
||||
public class GetJobStatsResponseTests extends AbstractXContentTestCase<GetJobStatsResponse> {
|
||||
|
||||
@Override
|
||||
protected GetJobStatsResponse createTestInstance() {
|
||||
|
||||
int count = randomIntBetween(1, 5);
|
||||
List<JobStats> results = new ArrayList<>(count);
|
||||
for(int i = 0; i < count; i++) {
|
||||
results.add(JobStatsTests.createRandomInstance());
|
||||
}
|
||||
|
||||
return new GetJobStatsResponse(results, count);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected GetJobStatsResponse doParseInstance(XContentParser parser) throws IOException {
|
||||
return GetJobStatsResponse.fromXContent(parser);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected boolean supportsUnknownFields() {
|
||||
return false;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,64 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch 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.
|
||||
*/
|
||||
package org.elasticsearch.client.ml;
|
||||
|
||||
import org.elasticsearch.common.xcontent.XContentParser;
|
||||
import org.elasticsearch.test.AbstractXContentTestCase;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
import java.util.function.Predicate;
|
||||
|
||||
public class NodeAttributesTests extends AbstractXContentTestCase<NodeAttributes> {
|
||||
|
||||
public static NodeAttributes createRandom() {
|
||||
int numberOfAttributes = randomIntBetween(1, 10);
|
||||
Map<String, String> attributes = new HashMap<>(numberOfAttributes);
|
||||
for(int i = 0; i < numberOfAttributes; i++) {
|
||||
String val = randomAlphaOfLength(10);
|
||||
attributes.put("key-"+i, val);
|
||||
}
|
||||
return new NodeAttributes(randomAlphaOfLength(10),
|
||||
randomAlphaOfLength(10),
|
||||
randomAlphaOfLength(10),
|
||||
randomAlphaOfLength(10),
|
||||
attributes);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected NodeAttributes createTestInstance() {
|
||||
return createRandom();
|
||||
}
|
||||
|
||||
@Override
|
||||
protected NodeAttributes doParseInstance(XContentParser parser) throws IOException {
|
||||
return NodeAttributes.PARSER.parse(parser, null);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Predicate<String> getRandomFieldsExcludeFilter() {
|
||||
return field -> !field.isEmpty();
|
||||
}
|
||||
|
||||
@Override
|
||||
protected boolean supportsUnknownFields() {
|
||||
return true;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,70 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch 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.
|
||||
*/
|
||||
package org.elasticsearch.client.ml.job.stats;
|
||||
|
||||
import org.elasticsearch.common.xcontent.XContentParser;
|
||||
import org.elasticsearch.test.AbstractXContentTestCase;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
import java.util.function.Predicate;
|
||||
|
||||
public class ForecastStatsTests extends AbstractXContentTestCase<ForecastStats> {
|
||||
|
||||
@Override
|
||||
public ForecastStats createTestInstance() {
|
||||
if (randomBoolean()) {
|
||||
return createRandom(1, 22);
|
||||
}
|
||||
return new ForecastStats(0, null,null,null,null);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected ForecastStats doParseInstance(XContentParser parser) throws IOException {
|
||||
return ForecastStats.PARSER.parse(parser, null);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected boolean supportsUnknownFields() {
|
||||
return true;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Predicate<String> getRandomFieldsExcludeFilter() {
|
||||
return field -> !field.isEmpty();
|
||||
}
|
||||
|
||||
public static ForecastStats createRandom(long minTotal, long maxTotal) {
|
||||
return new ForecastStats(
|
||||
randomLongBetween(minTotal, maxTotal),
|
||||
SimpleStatsTests.createRandom(),
|
||||
SimpleStatsTests.createRandom(),
|
||||
SimpleStatsTests.createRandom(),
|
||||
createCountStats());
|
||||
}
|
||||
|
||||
private static Map<String, Long> createCountStats() {
|
||||
Map<String, Long> countStats = new HashMap<>();
|
||||
for (int i = 0; i < randomInt(10); ++i) {
|
||||
countStats.put(randomAlphaOfLengthBetween(1, 20), randomLongBetween(1L, 100L));
|
||||
}
|
||||
return countStats;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,72 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch 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.
|
||||
*/
|
||||
package org.elasticsearch.client.ml.job.stats;
|
||||
|
||||
import org.elasticsearch.client.ml.NodeAttributes;
|
||||
import org.elasticsearch.client.ml.NodeAttributesTests;
|
||||
import org.elasticsearch.client.ml.job.process.DataCounts;
|
||||
import org.elasticsearch.client.ml.job.process.DataCountsTests;
|
||||
import org.elasticsearch.client.ml.job.process.ModelSizeStats;
|
||||
import org.elasticsearch.client.ml.job.process.ModelSizeStatsTests;
|
||||
import org.elasticsearch.common.unit.TimeValue;
|
||||
import org.elasticsearch.common.xcontent.XContentParser;
|
||||
import org.elasticsearch.client.ml.job.config.JobState;
|
||||
import org.elasticsearch.client.ml.job.config.JobTests;
|
||||
import org.elasticsearch.test.AbstractXContentTestCase;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.function.Predicate;
|
||||
|
||||
|
||||
public class JobStatsTests extends AbstractXContentTestCase<JobStats> {
|
||||
|
||||
public static JobStats createRandomInstance() {
|
||||
String jobId = JobTests.randomValidJobId();
|
||||
JobState state = randomFrom(JobState.CLOSING, JobState.CLOSED, JobState.OPENED, JobState.FAILED, JobState.OPENING);
|
||||
DataCounts dataCounts = DataCountsTests.createTestInstance(jobId);
|
||||
|
||||
ModelSizeStats modelSizeStats = randomBoolean() ? ModelSizeStatsTests.createRandomized() : null;
|
||||
ForecastStats forecastStats = randomBoolean() ? ForecastStatsTests.createRandom(1, 22) : null;
|
||||
NodeAttributes nodeAttributes = randomBoolean() ? NodeAttributesTests.createRandom() : null;
|
||||
String assigmentExplanation = randomBoolean() ? randomAlphaOfLength(10) : null;
|
||||
TimeValue openTime = randomBoolean() ? TimeValue.timeValueMillis(randomIntBetween(1, 10000)) : null;
|
||||
|
||||
return new JobStats(jobId, dataCounts, state, modelSizeStats, forecastStats, nodeAttributes, assigmentExplanation, openTime);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected JobStats createTestInstance() {
|
||||
return createRandomInstance();
|
||||
}
|
||||
|
||||
@Override
|
||||
protected JobStats doParseInstance(XContentParser parser) throws IOException {
|
||||
return JobStats.PARSER.parse(parser, null);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Predicate<String> getRandomFieldsExcludeFilter() {
|
||||
return field -> !field.isEmpty();
|
||||
}
|
||||
|
||||
@Override
|
||||
protected boolean supportsUnknownFields() {
|
||||
return true;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,47 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch 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.
|
||||
*/
|
||||
package org.elasticsearch.client.ml.job.stats;
|
||||
|
||||
import org.elasticsearch.common.xcontent.XContentParser;
|
||||
import org.elasticsearch.test.AbstractXContentTestCase;
|
||||
|
||||
import java.io.IOException;
|
||||
|
||||
|
||||
public class SimpleStatsTests extends AbstractXContentTestCase<SimpleStats> {
|
||||
|
||||
@Override
|
||||
protected SimpleStats createTestInstance() {
|
||||
return createRandom();
|
||||
}
|
||||
|
||||
@Override
|
||||
protected SimpleStats doParseInstance(XContentParser parser) throws IOException {
|
||||
return SimpleStats.PARSER.parse(parser, null);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected boolean supportsUnknownFields() {
|
||||
return true;
|
||||
}
|
||||
|
||||
public static SimpleStats createRandom() {
|
||||
return new SimpleStats(randomDouble(), randomDouble(), randomDouble(), randomDouble());
|
||||
}
|
||||
}
|
|
@ -0,0 +1,67 @@
|
|||
[[java-rest-high-x-pack-ml-get-job-stats]]
|
||||
=== Get Job Stats API
|
||||
|
||||
The Get Job Stats API provides the ability to get any number of
|
||||
{ml} job's statistics in the cluster.
|
||||
It accepts a `GetJobStatsRequest` object and responds
|
||||
with a `GetJobStatsResponse` object.
|
||||
|
||||
[[java-rest-high-x-pack-ml-get-job-stats-request]]
|
||||
==== Get Job Stats Request
|
||||
|
||||
A `GetJobsStatsRequest` object can have any number of `jobId`
|
||||
entries. However, they all must be non-null. An empty list is the same as
|
||||
requesting statistics for all jobs.
|
||||
|
||||
["source","java",subs="attributes,callouts,macros"]
|
||||
--------------------------------------------------
|
||||
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-job-stats-request]
|
||||
--------------------------------------------------
|
||||
<1> Constructing a new request referencing existing `jobIds`, can contain wildcards
|
||||
<2> Whether to ignore if a wildcard expression matches no jobs.
|
||||
(This includes `_all` string or when no jobs have been specified)
|
||||
|
||||
[[java-rest-high-x-pack-ml-get-job-stats-execution]]
|
||||
==== Execution
|
||||
|
||||
The request can be executed through the `MachineLearningClient` contained
|
||||
in the `RestHighLevelClient` object, accessed via the `machineLearningClient()` method.
|
||||
|
||||
["source","java",subs="attributes,callouts,macros"]
|
||||
--------------------------------------------------
|
||||
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-job-stats-execute]
|
||||
--------------------------------------------------
|
||||
|
||||
[[java-rest-high-x-pack-ml-get-job-stats-execution-async]]
|
||||
==== Asynchronous Execution
|
||||
|
||||
The request can also be executed asynchronously:
|
||||
|
||||
["source","java",subs="attributes,callouts,macros"]
|
||||
--------------------------------------------------
|
||||
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-job-stats-execute-async]
|
||||
--------------------------------------------------
|
||||
<1> The `GetJobsStatsRequest` to execute and the `ActionListener` to use when
|
||||
the execution completes
|
||||
|
||||
The method does not block and returns immediately. The passed `ActionListener` is used
|
||||
to notify the caller of completion. A typical `ActionListener` for `GetJobsStatsResponse` may
|
||||
look like
|
||||
|
||||
["source","java",subs="attributes,callouts,macros"]
|
||||
--------------------------------------------------
|
||||
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-job-stats-listener]
|
||||
--------------------------------------------------
|
||||
<1> `onResponse` is called back when the action is completed successfully
|
||||
<2> `onFailure` is called back when some unexpected error occurs
|
||||
|
||||
[[java-rest-high-x-pack-ml-get-job-stats-response]]
|
||||
==== Get Job Stats Response
|
||||
The returned `GetJobStatsResponse` contains the requested job statistics:
|
||||
|
||||
["source","java",subs="attributes,callouts,macros"]
|
||||
--------------------------------------------------
|
||||
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-job-stats-response]
|
||||
--------------------------------------------------
|
||||
<1> `getCount()` indicates the number of jobs statistics found
|
||||
<2> `getJobStats()` is the collection of {ml} `JobStats` objects found
|
|
@ -211,6 +211,7 @@ The Java High Level REST Client supports the following Machine Learning APIs:
|
|||
* <<java-rest-high-x-pack-ml-delete-job>>
|
||||
* <<java-rest-high-x-pack-ml-open-job>>
|
||||
* <<java-rest-high-x-pack-ml-close-job>>
|
||||
* <<java-rest-high-x-pack-ml-get-job-stats>>
|
||||
* <<java-rest-high-x-pack-ml-get-buckets>>
|
||||
* <<java-rest-high-x-pack-ml-get-records>>
|
||||
|
||||
|
@ -219,6 +220,7 @@ include::ml/get-job.asciidoc[]
|
|||
include::ml/delete-job.asciidoc[]
|
||||
include::ml/open-job.asciidoc[]
|
||||
include::ml/close-job.asciidoc[]
|
||||
include::ml/get-job-stats.asciidoc[]
|
||||
include::ml/get-buckets.asciidoc[]
|
||||
include::ml/get-records.asciidoc[]
|
||||
|
||||
|
|
Loading…
Reference in New Issue