parent
c12d232215
commit
9230a48722
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@ -19,10 +19,13 @@
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package org.elasticsearch.client;
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import org.apache.http.HttpEntity;
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import org.apache.http.client.methods.HttpDelete;
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import org.apache.http.client.methods.HttpGet;
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import org.apache.http.client.methods.HttpPost;
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import org.apache.http.client.methods.HttpPut;
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import org.apache.http.entity.ByteArrayEntity;
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import org.apache.lucene.util.BytesRef;
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import org.elasticsearch.client.RequestConverters.EndpointBuilder;
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import org.elasticsearch.client.ml.CloseJobRequest;
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import org.elasticsearch.client.ml.DeleteJobRequest;
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@ -34,13 +37,16 @@ import org.elasticsearch.client.ml.GetJobStatsRequest;
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import org.elasticsearch.client.ml.GetOverallBucketsRequest;
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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.PostDataRequest;
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import org.elasticsearch.client.ml.PutJobRequest;
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import org.elasticsearch.client.ml.UpdateJobRequest;
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import org.elasticsearch.common.Strings;
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import org.elasticsearch.common.bytes.BytesReference;
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import java.io.IOException;
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import static org.elasticsearch.client.RequestConverters.REQUEST_BODY_CONTENT_TYPE;
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import static org.elasticsearch.client.RequestConverters.createContentType;
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import static org.elasticsearch.client.RequestConverters.createEntity;
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final class MLRequestConverters {
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@ -202,6 +208,35 @@ final class MLRequestConverters {
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return request;
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}
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static Request postData(PostDataRequest postDataRequest) throws IOException {
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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(postDataRequest.getJobId())
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.addPathPartAsIs("_data")
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.build();
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Request request = new Request(HttpPost.METHOD_NAME, endpoint);
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RequestConverters.Params params = new RequestConverters.Params(request);
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if (postDataRequest.getResetStart() != null) {
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params.putParam(PostDataRequest.RESET_START.getPreferredName(), postDataRequest.getResetStart());
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}
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if (postDataRequest.getResetEnd() != null) {
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params.putParam(PostDataRequest.RESET_END.getPreferredName(), postDataRequest.getResetEnd());
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}
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BytesReference content = postDataRequest.getContent();
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if (content != null) {
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BytesRef source = postDataRequest.getContent().toBytesRef();
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HttpEntity byteEntity = new ByteArrayEntity(source.bytes,
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source.offset,
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source.length,
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createContentType(postDataRequest.getXContentType()));
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request.setEntity(byteEntity);
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}
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return request;
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}
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static Request getInfluencers(GetInfluencersRequest getInfluencersRequest) throws IOException {
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String endpoint = new EndpointBuilder()
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.addPathPartAsIs("_xpack")
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@ -19,6 +19,8 @@
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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.PostDataRequest;
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import org.elasticsearch.client.ml.PostDataResponse;
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import org.elasticsearch.client.ml.UpdateJobRequest;
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import org.elasticsearch.client.ml.CloseJobRequest;
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import org.elasticsearch.client.ml.CloseJobResponse;
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@ -501,6 +503,52 @@ public final class MachineLearningClient {
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Collections.emptySet());
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}
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/**
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* Sends data to an anomaly detection job for analysis.
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*
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* NOTE: The job must have a state of open to receive and process the data.
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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-post-data.html">ML POST Data documentation</a>
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* </p>
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*
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* @param request PostDataRequest containing the data to post and some 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 response containing operational progress about the job
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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 PostDataResponse postData(PostDataRequest request, RequestOptions options) throws IOException {
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return restHighLevelClient.performRequestAndParseEntity(request,
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MLRequestConverters::postData,
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options,
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PostDataResponse::fromXContent,
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Collections.emptySet());
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}
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/**
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* Sends data to an anomaly detection job for analysis, asynchronously
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*
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* NOTE: The job must have a state of open to receive and process the data.
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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-post-data.html">ML POST Data documentation</a>
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* </p>
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*
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* @param request PostDataRequest containing the data to post and some 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 upon request completion
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*/
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public void postDataAsync(PostDataRequest request, RequestOptions options, ActionListener<PostDataResponse> listener) {
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restHighLevelClient.performRequestAsyncAndParseEntity(request,
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MLRequestConverters::postData,
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options,
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PostDataResponse::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 influencers for a Machine Learning Job.
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* <p>
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@ -0,0 +1,229 @@
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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.bytes.BytesArray;
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import org.elasticsearch.common.bytes.BytesReference;
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import org.elasticsearch.common.xcontent.ConstructingObjectParser;
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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 org.elasticsearch.common.xcontent.XContentType;
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import java.io.IOException;
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import java.nio.ByteBuffer;
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import java.nio.charset.StandardCharsets;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Map;
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import java.util.Objects;
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/**
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* POJO for posting data to a Machine Learning job
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*/
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public class PostDataRequest extends ActionRequest implements ToXContentObject {
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public static final ParseField RESET_START = new ParseField("reset_start");
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public static final ParseField RESET_END = new ParseField("reset_end");
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public static final ParseField CONTENT_TYPE = new ParseField("content_type");
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public static final ConstructingObjectParser<PostDataRequest, Void> PARSER =
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new ConstructingObjectParser<>("post_data_request",
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(a) -> new PostDataRequest((String)a[0], XContentType.fromMediaTypeOrFormat((String)a[1]), new byte[0]));
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static {
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PARSER.declareString(ConstructingObjectParser.constructorArg(), Job.ID);
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PARSER.declareString(ConstructingObjectParser.constructorArg(), CONTENT_TYPE);
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PARSER.declareStringOrNull(PostDataRequest::setResetEnd, RESET_END);
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PARSER.declareStringOrNull(PostDataRequest::setResetStart, RESET_START);
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}
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private final String jobId;
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private final XContentType xContentType;
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private final BytesReference content;
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private String resetStart;
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private String resetEnd;
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/**
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* Create a new PostDataRequest object
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*
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* @param jobId non-null jobId of the job to post data to
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* @param xContentType content type of the data to post. Only {@link XContentType#JSON} or {@link XContentType#SMILE} are supported
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* @param content bulk serialized content in the format of the passed {@link XContentType}
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*/
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public PostDataRequest(String jobId, XContentType xContentType, BytesReference content) {
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this.jobId = Objects.requireNonNull(jobId, "job_id must not be null");
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this.xContentType = Objects.requireNonNull(xContentType, "content_type must not be null");
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this.content = Objects.requireNonNull(content, "content must not be null");
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}
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/**
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* Create a new PostDataRequest object referencing the passed {@code byte[]} content
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*
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* @param jobId non-null jobId of the job to post data to
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* @param xContentType content type of the data to post. Only {@link XContentType#JSON} or {@link XContentType#SMILE} are supported
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* @param content bulk serialized content in the format of the passed {@link XContentType}
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*/
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public PostDataRequest(String jobId, XContentType xContentType, byte[] content) {
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this(jobId, xContentType, new BytesArray(content));
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}
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/**
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* Create a new PostDataRequest object referencing the passed {@link JsonBuilder} object
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*
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* @param jobId non-null jobId of the job to post data to
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* @param builder {@link JsonBuilder} object containing documents to be serialized and sent in {@link XContentType#JSON} format
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*/
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public PostDataRequest(String jobId, JsonBuilder builder) {
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this(jobId, XContentType.JSON, builder.build());
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}
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public String getJobId() {
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return jobId;
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}
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public String getResetStart() {
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return resetStart;
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}
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/**
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* Specifies the start of the bucket resetting range
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*
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* @param resetStart String representation of a timestamp; may be an epoch seconds, epoch millis or an ISO 8601 string
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*/
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public void setResetStart(String resetStart) {
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this.resetStart = resetStart;
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}
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public String getResetEnd() {
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return resetEnd;
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}
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/**
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* Specifies the end of the bucket resetting range
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*
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* @param resetEnd String representation of a timestamp; may be an epoch seconds, epoch millis or an ISO 8601 string
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*/
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public void setResetEnd(String resetEnd) {
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this.resetEnd = resetEnd;
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}
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public BytesReference getContent() {
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return content;
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}
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public XContentType getXContentType() {
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return xContentType;
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}
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@Override
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public int hashCode() {
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//We leave out the content for server side parity
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return Objects.hash(jobId, resetStart, resetEnd, xContentType);
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}
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@Override
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public boolean equals(Object obj) {
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if(obj == this) {
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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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//We leave out the content for server side parity
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PostDataRequest other = (PostDataRequest) obj;
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return Objects.equals(jobId, other.jobId) &&
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Objects.equals(resetStart, other.resetStart) &&
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Objects.equals(resetEnd, other.resetEnd) &&
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Objects.equals(xContentType, other.xContentType);
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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(), jobId);
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builder.field(CONTENT_TYPE.getPreferredName(), xContentType.mediaType());
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if (resetEnd != null) {
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builder.field(RESET_END.getPreferredName(), resetEnd);
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}
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if (resetStart != null) {
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builder.field(RESET_START.getPreferredName(), resetStart);
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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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* Class for incrementally building a bulk document request in {@link XContentType#JSON} format
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*/
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public static class JsonBuilder {
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private final List<ByteBuffer> bytes = new ArrayList<>();
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/**
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* Add a document via a {@code byte[]} array
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*
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* @param doc {@code byte[]} array of a serialized JSON object
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*/
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public JsonBuilder addDoc(byte[] doc) {
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bytes.add(ByteBuffer.wrap(doc));
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return this;
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}
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/**
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* Add a document via a serialized JSON String
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*
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* @param doc a serialized JSON String
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*/
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public JsonBuilder addDoc(String doc) {
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bytes.add(ByteBuffer.wrap(doc.getBytes(StandardCharsets.UTF_8)));
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return this;
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}
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/**
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* Add a document via an object map
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*
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* @param doc document object to add to bulk request
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* @throws IOException on parsing/serialization errors
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*/
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public JsonBuilder addDoc(Map<String, Object> doc) throws IOException {
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try (XContentBuilder builder = XContentBuilder.builder(XContentType.JSON.xContent())) {
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builder.map(doc);
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bytes.add(ByteBuffer.wrap(BytesReference.toBytes(BytesReference.bytes(builder))));
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}
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return this;
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}
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private BytesReference build() {
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ByteBuffer[] buffers = bytes.toArray(new ByteBuffer[bytes.size()]);
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return BytesReference.fromByteBuffers(buffers);
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}
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}
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}
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@ -0,0 +1,74 @@
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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
|
||||
* 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
|
||||
*
|
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* http://www.apache.org/licenses/LICENSE-2.0
|
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*
|
||||
* 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.
|
||||
*/
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package org.elasticsearch.client.ml;
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import org.elasticsearch.action.ActionResponse;
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import org.elasticsearch.client.ml.job.process.DataCounts;
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import org.elasticsearch.common.xcontent.ToXContent;
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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 org.elasticsearch.common.xcontent.XContentParser;
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import java.io.IOException;
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import java.util.Objects;
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/**
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* Response object when posting data to a Machine Learning Job
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*/
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public class PostDataResponse extends ActionResponse implements ToXContentObject {
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private DataCounts dataCounts;
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public static PostDataResponse fromXContent(XContentParser parser) throws IOException {
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return new PostDataResponse(DataCounts.PARSER.parse(parser, null));
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}
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public PostDataResponse(DataCounts counts) {
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this.dataCounts = counts;
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}
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public DataCounts getDataCounts() {
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return dataCounts;
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}
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@Override
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public XContentBuilder toXContent(XContentBuilder builder, ToXContent.Params params) throws IOException {
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return dataCounts.toXContent(builder, params);
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}
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@Override
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public int hashCode() {
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return Objects.hashCode(dataCounts);
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}
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@Override
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public boolean equals(Object obj) {
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if (obj == this) {
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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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PostDataResponse other = (PostDataResponse) obj;
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return Objects.equals(dataCounts, other.dataCounts);
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}
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}
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@ -33,6 +33,7 @@ import org.elasticsearch.client.ml.GetJobStatsRequest;
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import org.elasticsearch.client.ml.GetOverallBucketsRequest;
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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.PostDataRequest;
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import org.elasticsearch.client.ml.PutJobRequest;
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import org.elasticsearch.client.ml.UpdateJobRequest;
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import org.elasticsearch.client.ml.job.config.AnalysisConfig;
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|
@ -43,12 +44,15 @@ import org.elasticsearch.client.ml.job.config.JobUpdateTests;
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import org.elasticsearch.client.ml.job.util.PageParams;
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import org.elasticsearch.common.unit.TimeValue;
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import org.elasticsearch.common.xcontent.XContentParser;
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import org.elasticsearch.common.xcontent.XContentType;
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import org.elasticsearch.common.xcontent.json.JsonXContent;
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import org.elasticsearch.test.ESTestCase;
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import java.io.ByteArrayOutputStream;
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import java.io.IOException;
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import java.util.Collections;
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import java.util.HashMap;
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import java.util.Map;
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import static org.hamcrest.Matchers.equalTo;
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|
@ -238,6 +242,34 @@ public class MLRequestConvertersTests extends ESTestCase {
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}
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}
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public void testPostData() throws Exception {
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String jobId = randomAlphaOfLength(10);
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PostDataRequest.JsonBuilder jsonBuilder = new PostDataRequest.JsonBuilder();
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Map<String, Object> obj = new HashMap<>();
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obj.put("foo", "bar");
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jsonBuilder.addDoc(obj);
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PostDataRequest postDataRequest = new PostDataRequest(jobId, jsonBuilder);
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||||
Request request = MLRequestConverters.postData(postDataRequest);
|
||||
|
||||
assertEquals(HttpPost.METHOD_NAME, request.getMethod());
|
||||
assertEquals("/_xpack/ml/anomaly_detectors/" + jobId + "/_data", request.getEndpoint());
|
||||
assertEquals("{\"foo\":\"bar\"}", requestEntityToString(request));
|
||||
assertEquals(postDataRequest.getXContentType().mediaTypeWithoutParameters(), request.getEntity().getContentType().getValue());
|
||||
assertFalse(request.getParameters().containsKey(PostDataRequest.RESET_END.getPreferredName()));
|
||||
assertFalse(request.getParameters().containsKey(PostDataRequest.RESET_START.getPreferredName()));
|
||||
|
||||
PostDataRequest postDataRequest2 = new PostDataRequest(jobId, XContentType.SMILE, new byte[0]);
|
||||
postDataRequest2.setResetStart("2018-08-08T00:00:00Z");
|
||||
postDataRequest2.setResetEnd("2018-09-08T00:00:00Z");
|
||||
|
||||
request = MLRequestConverters.postData(postDataRequest2);
|
||||
|
||||
assertEquals(postDataRequest2.getXContentType().mediaTypeWithoutParameters(), request.getEntity().getContentType().getValue());
|
||||
assertEquals("2018-09-08T00:00:00Z", request.getParameters().get(PostDataRequest.RESET_END.getPreferredName()));
|
||||
assertEquals("2018-08-08T00:00:00Z", request.getParameters().get(PostDataRequest.RESET_START.getPreferredName()));
|
||||
}
|
||||
|
||||
public void testGetInfluencers() throws IOException {
|
||||
String jobId = randomAlphaOfLength(10);
|
||||
GetInfluencersRequest getInfluencersRequest = new GetInfluencersRequest(jobId);
|
||||
|
|
|
@ -20,6 +20,8 @@ package org.elasticsearch.client;
|
|||
|
||||
import com.carrotsearch.randomizedtesting.generators.CodepointSetGenerator;
|
||||
import org.elasticsearch.ElasticsearchStatusException;
|
||||
import org.elasticsearch.client.ml.PostDataRequest;
|
||||
import org.elasticsearch.client.ml.PostDataResponse;
|
||||
import org.elasticsearch.client.ml.UpdateJobRequest;
|
||||
import org.elasticsearch.client.ml.job.config.JobUpdate;
|
||||
import org.elasticsearch.common.unit.TimeValue;
|
||||
|
@ -41,13 +43,14 @@ 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.elasticsearch.client.ml.FlushJobRequest;
|
||||
import org.elasticsearch.client.ml.FlushJobResponse;
|
||||
import org.junit.After;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.Arrays;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
import java.util.concurrent.TimeUnit;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
|
@ -220,6 +223,27 @@ public class MachineLearningIT extends ESRestHighLevelClientTestCase {
|
|||
assertThat(exception.status().getStatus(), equalTo(404));
|
||||
}
|
||||
|
||||
public void testPostData() throws Exception {
|
||||
String jobId = randomValidJobId();
|
||||
Job job = buildJob(jobId);
|
||||
MachineLearningClient machineLearningClient = highLevelClient().machineLearning();
|
||||
machineLearningClient.putJob(new PutJobRequest(job), RequestOptions.DEFAULT);
|
||||
machineLearningClient.openJob(new OpenJobRequest(jobId), RequestOptions.DEFAULT);
|
||||
|
||||
PostDataRequest.JsonBuilder builder = new PostDataRequest.JsonBuilder();
|
||||
for(int i = 0; i < 10; i++) {
|
||||
Map<String, Object> hashMap = new HashMap<>();
|
||||
hashMap.put("total", randomInt(1000));
|
||||
hashMap.put("timestamp", (i+1)*1000);
|
||||
builder.addDoc(hashMap);
|
||||
}
|
||||
PostDataRequest postDataRequest = new PostDataRequest(jobId, builder);
|
||||
|
||||
PostDataResponse response = execute(postDataRequest, machineLearningClient::postData, machineLearningClient::postDataAsync);
|
||||
assertEquals(10, response.getDataCounts().getInputRecordCount());
|
||||
assertEquals(0, response.getDataCounts().getOutOfOrderTimeStampCount());
|
||||
}
|
||||
|
||||
public void testUpdateJob() throws Exception {
|
||||
String jobId = randomValidJobId();
|
||||
Job job = buildJob(jobId);
|
||||
|
@ -256,8 +280,8 @@ public class MachineLearningIT extends ESRestHighLevelClientTestCase {
|
|||
builder.setAnalysisConfig(configBuilder);
|
||||
|
||||
DataDescription.Builder dataDescription = new DataDescription.Builder();
|
||||
dataDescription.setTimeFormat(randomFrom(DataDescription.EPOCH_MS, DataDescription.EPOCH));
|
||||
dataDescription.setTimeField(randomAlphaOfLength(10));
|
||||
dataDescription.setTimeFormat(DataDescription.EPOCH_MS);
|
||||
dataDescription.setTimeField("timestamp");
|
||||
builder.setDataDescription(dataDescription);
|
||||
|
||||
return builder.build();
|
||||
|
|
|
@ -49,6 +49,8 @@ import org.elasticsearch.client.ml.GetRecordsRequest;
|
|||
import org.elasticsearch.client.ml.GetRecordsResponse;
|
||||
import org.elasticsearch.client.ml.OpenJobRequest;
|
||||
import org.elasticsearch.client.ml.OpenJobResponse;
|
||||
import org.elasticsearch.client.ml.PostDataRequest;
|
||||
import org.elasticsearch.client.ml.PostDataResponse;
|
||||
import org.elasticsearch.client.ml.PutJobRequest;
|
||||
import org.elasticsearch.client.ml.PutJobResponse;
|
||||
import org.elasticsearch.client.ml.UpdateJobRequest;
|
||||
|
@ -58,6 +60,7 @@ import org.elasticsearch.client.ml.job.config.DataDescription;
|
|||
import org.elasticsearch.client.ml.job.config.DetectionRule;
|
||||
import org.elasticsearch.client.ml.job.config.Detector;
|
||||
import org.elasticsearch.client.ml.job.config.Job;
|
||||
import org.elasticsearch.client.ml.job.process.DataCounts;
|
||||
import org.elasticsearch.client.ml.job.config.JobUpdate;
|
||||
import org.elasticsearch.client.ml.job.config.ModelPlotConfig;
|
||||
import org.elasticsearch.client.ml.job.config.Operator;
|
||||
|
@ -882,6 +885,73 @@ public class MlClientDocumentationIT extends ESRestHighLevelClientTestCase {
|
|||
}
|
||||
}
|
||||
|
||||
public void testPostData() throws Exception {
|
||||
RestHighLevelClient client = highLevelClient();
|
||||
|
||||
Job job = MachineLearningIT.buildJob("test-post-data");
|
||||
client.machineLearning().putJob(new PutJobRequest(job), RequestOptions.DEFAULT);
|
||||
client.machineLearning().openJob(new OpenJobRequest(job.getId()), RequestOptions.DEFAULT);
|
||||
|
||||
{
|
||||
//tag::x-pack-ml-post-data-request
|
||||
PostDataRequest.JsonBuilder jsonBuilder = new PostDataRequest.JsonBuilder(); //<1>
|
||||
Map<String, Object> mapData = new HashMap<>();
|
||||
mapData.put("total", 109);
|
||||
jsonBuilder.addDoc(mapData); //<2>
|
||||
jsonBuilder.addDoc("{\"total\":1000}"); //<3>
|
||||
PostDataRequest postDataRequest = new PostDataRequest("test-post-data", jsonBuilder); //<4>
|
||||
//end::x-pack-ml-post-data-request
|
||||
|
||||
|
||||
//tag::x-pack-ml-post-data-request-options
|
||||
postDataRequest.setResetStart("2018-08-31T16:35:07+00:00"); //<1>
|
||||
postDataRequest.setResetEnd("2018-08-31T16:35:17+00:00"); //<2>
|
||||
//end::x-pack-ml-post-data-request-options
|
||||
postDataRequest.setResetEnd(null);
|
||||
postDataRequest.setResetStart(null);
|
||||
|
||||
//tag::x-pack-ml-post-data-execute
|
||||
PostDataResponse postDataResponse = client.machineLearning().postData(postDataRequest, RequestOptions.DEFAULT);
|
||||
//end::x-pack-ml-post-data-execute
|
||||
|
||||
//tag::x-pack-ml-post-data-response
|
||||
DataCounts dataCounts = postDataResponse.getDataCounts(); //<1>
|
||||
//end::x-pack-ml-post-data-response
|
||||
assertEquals(2, dataCounts.getInputRecordCount());
|
||||
|
||||
}
|
||||
{
|
||||
//tag::x-pack-ml-post-data-listener
|
||||
ActionListener<PostDataResponse> listener = new ActionListener<PostDataResponse>() {
|
||||
@Override
|
||||
public void onResponse(PostDataResponse postDataResponse) {
|
||||
//<1>
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onFailure(Exception e) {
|
||||
// <2>
|
||||
}
|
||||
};
|
||||
//end::x-pack-ml-post-data-listener
|
||||
PostDataRequest.JsonBuilder jsonBuilder = new PostDataRequest.JsonBuilder();
|
||||
Map<String, Object> mapData = new HashMap<>();
|
||||
mapData.put("total", 109);
|
||||
jsonBuilder.addDoc(mapData);
|
||||
PostDataRequest postDataRequest = new PostDataRequest("test-post-data", jsonBuilder); //<1>
|
||||
|
||||
// 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-post-data-execute-async
|
||||
client.machineLearning().postDataAsync(postDataRequest, RequestOptions.DEFAULT, listener); //<1>
|
||||
// end::x-pack-ml-post-data-execute-async
|
||||
|
||||
assertTrue(latch.await(30L, TimeUnit.SECONDS));
|
||||
}
|
||||
}
|
||||
|
||||
public void testGetInfluencers() throws IOException, InterruptedException {
|
||||
RestHighLevelClient client = highLevelClient();
|
||||
|
||||
|
|
|
@ -0,0 +1,90 @@
|
|||
/*
|
||||
* 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.common.xcontent.XContentType;
|
||||
import org.elasticsearch.test.AbstractXContentTestCase;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
|
||||
|
||||
public class PostDataRequestTests extends AbstractXContentTestCase<PostDataRequest> {
|
||||
|
||||
@Override
|
||||
protected PostDataRequest createTestInstance() {
|
||||
String jobId = randomAlphaOfLength(10);
|
||||
XContentType contentType = randomFrom(XContentType.JSON, XContentType.SMILE);
|
||||
|
||||
PostDataRequest request = new PostDataRequest(jobId, contentType, new byte[0]);
|
||||
if (randomBoolean()) {
|
||||
request.setResetEnd(randomAlphaOfLength(10));
|
||||
}
|
||||
if (randomBoolean()) {
|
||||
request.setResetStart(randomAlphaOfLength(10));
|
||||
}
|
||||
|
||||
return request;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected PostDataRequest doParseInstance(XContentParser parser) {
|
||||
return PostDataRequest.PARSER.apply(parser, null);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected boolean supportsUnknownFields() {
|
||||
return false;
|
||||
}
|
||||
|
||||
public void testJsonBuilder() throws IOException {
|
||||
|
||||
String jobId = randomAlphaOfLength(10);
|
||||
PostDataRequest.JsonBuilder builder = new PostDataRequest.JsonBuilder();
|
||||
|
||||
Map<String, Object> obj1 = new HashMap<>();
|
||||
obj1.put("entry1", "value1");
|
||||
obj1.put("entry2", "value2");
|
||||
builder.addDoc(obj1);
|
||||
|
||||
builder.addDoc("{\"entry3\":\"value3\"}");
|
||||
builder.addDoc("{\"entry4\":\"value4\"}".getBytes(StandardCharsets.UTF_8));
|
||||
|
||||
PostDataRequest request = new PostDataRequest(jobId, builder);
|
||||
|
||||
assertEquals("{\"entry1\":\"value1\",\"entry2\":\"value2\"}{\"entry3\":\"value3\"}{\"entry4\":\"value4\"}",
|
||||
request.getContent().utf8ToString());
|
||||
assertEquals(XContentType.JSON, request.getXContentType());
|
||||
assertEquals(jobId, request.getJobId());
|
||||
}
|
||||
|
||||
public void testFromByteArray() {
|
||||
String jobId = randomAlphaOfLength(10);
|
||||
PostDataRequest request = new PostDataRequest(jobId,
|
||||
XContentType.JSON,
|
||||
"{\"others\":{\"foo\":100}}".getBytes(StandardCharsets.UTF_8));
|
||||
|
||||
assertEquals("{\"others\":{\"foo\":100}}", request.getContent().utf8ToString());
|
||||
assertEquals(XContentType.JSON, request.getXContentType());
|
||||
assertEquals(jobId, request.getJobId());
|
||||
}
|
||||
}
|
|
@ -0,0 +1,43 @@
|
|||
/*
|
||||
* 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.client.ml.job.process.DataCountsTests;
|
||||
import org.elasticsearch.common.xcontent.XContentParser;
|
||||
import org.elasticsearch.test.AbstractXContentTestCase;
|
||||
|
||||
import java.io.IOException;
|
||||
|
||||
public class PostDataResponseTests extends AbstractXContentTestCase<PostDataResponse> {
|
||||
|
||||
@Override
|
||||
protected PostDataResponse createTestInstance() {
|
||||
return new PostDataResponse(DataCountsTests.createTestInstance(randomAlphaOfLength(10)));
|
||||
}
|
||||
|
||||
@Override
|
||||
protected PostDataResponse doParseInstance(XContentParser parser) throws IOException {
|
||||
return PostDataResponse.fromXContent(parser);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected boolean supportsUnknownFields() {
|
||||
return true;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,86 @@
|
|||
[[java-rest-high-x-pack-ml-post-data]]
|
||||
=== Post Data API
|
||||
|
||||
The Post Data API provides the ability to post data to an open
|
||||
{ml} job in the cluster.
|
||||
It accepts a `PostDataRequest` object and responds
|
||||
with a `PostDataResponse` object.
|
||||
|
||||
[[java-rest-high-x-pack-ml-post-data-request]]
|
||||
==== Post Data Request
|
||||
|
||||
A `PostDataRequest` object gets created with an existing non-null `jobId`
|
||||
and the `XContentType` being sent. Individual docs can be added
|
||||
incrementally via the `PostDataRequest.JsonBuilder#addDoc` method.
|
||||
These are then serialized and sent in bulk when passed to the `PostDataRequest`.
|
||||
|
||||
Alternatively, the serialized bulk content can be set manually, along with its `XContentType`
|
||||
through one of the other `PostDataRequest` constructors.
|
||||
|
||||
Only `XContentType.JSON` and `XContentType.SMILE` are supported.
|
||||
|
||||
["source","java",subs="attributes,callouts,macros"]
|
||||
--------------------------------------------------
|
||||
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-post-data-request]
|
||||
--------------------------------------------------
|
||||
<1> Create a new `PostDataRequest.JsonBuilder` object for incrementally adding documents
|
||||
<2> Add a new document as a `Map<String, Object>` object
|
||||
<3> Add a new document as a serialized JSON formatted String.
|
||||
<4> Constructing a new request referencing an opened `jobId`, and a JsonBuilder
|
||||
|
||||
==== Optional Arguments
|
||||
|
||||
The following arguments are optional.
|
||||
|
||||
["source","java",subs="attributes,callouts,macros"]
|
||||
--------------------------------------------------
|
||||
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-post-data-request-options]
|
||||
--------------------------------------------------
|
||||
<1> Set the start of the bucket resetting time
|
||||
<2> Set the end of the bucket resetting time
|
||||
|
||||
[[java-rest-high-x-pack-ml-post-data-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-post-data-execute]
|
||||
--------------------------------------------------
|
||||
|
||||
[[java-rest-high-x-pack-ml-post-data-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-post-data-execute-async]
|
||||
--------------------------------------------------
|
||||
<1> The `PostDataRequest` 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 `PostDataResponse` may
|
||||
look like
|
||||
|
||||
["source","java",subs="attributes,callouts,macros"]
|
||||
--------------------------------------------------
|
||||
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-post-data-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-post-data-response]]
|
||||
==== Post Data Response
|
||||
|
||||
A `PostDataResponse` contains current data processing statistics.
|
||||
|
||||
["source","java",subs="attributes,callouts,macros"]
|
||||
--------------------------------------------------
|
||||
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-post-data-response]
|
||||
--------------------------------------------------
|
||||
<1> `getDataCounts()` a `DataCounts` object containing the current
|
||||
data processing counts.
|
|
@ -221,6 +221,7 @@ The Java High Level REST Client supports the following Machine Learning APIs:
|
|||
* <<java-rest-high-x-pack-ml-get-buckets>>
|
||||
* <<java-rest-high-x-pack-ml-get-overall-buckets>>
|
||||
* <<java-rest-high-x-pack-ml-get-records>>
|
||||
* <<java-rest-high-x-pack-ml-post-data>>
|
||||
* <<java-rest-high-x-pack-ml-get-influencers>>
|
||||
|
||||
include::ml/put-job.asciidoc[]
|
||||
|
@ -234,6 +235,7 @@ include::ml/get-job-stats.asciidoc[]
|
|||
include::ml/get-buckets.asciidoc[]
|
||||
include::ml/get-overall-buckets.asciidoc[]
|
||||
include::ml/get-records.asciidoc[]
|
||||
include::ml/post-data.asciidoc[]
|
||||
include::ml/get-influencers.asciidoc[]
|
||||
|
||||
== Migration APIs
|
||||
|
|
Loading…
Reference in New Issue