elasticsearch中java客户端api的使用方法-创新互联
1.客户端client构建
package com.pz998.app.service.utils;
import static org.elasticsearch.common.settings.Settings.settingsBuilder;
import java.net.InetSocketAddress;
import org.elasticsearch.client.Client;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.InetSocketTransportAddress;public class SearchHelp {
private static TransportClient client = null;public static Client getSearchClient() { if(client!=null){ return client; } Settings setting = settingsBuilder() //集群名称 .put("cluster.name", "es-cluster") .put("client.transport.sniff", true) .put("client.transport.ignore_cluster_name", false) .put("client.transport.ping_timeout", "5s") .put("client.transport.nodes_sampler_interval", "5s") .build(); client = TransportClient.builder().settings(setting).build(); ((TransportClient) client).addTransportAddress(new InetSocketTransportAddress(new InetSocketAddress("10.3.32.83", 9300))); return client; }}
2.多字段检索
public SearchResultVo queryDiseaseOrDoctor(SearchParam searchParam,Client client){
Integer from = searchParam.getFrom()==null?0:searchParam.getFrom();
Integer size = searchParam.getPageSize()==null?0:searchParam.getPageSize();
MultiSearchResponse response = client.prepareMultiSearch()
//搜索疾病索引
.add(client.prepareSearch(DISEASE_INDEX)// 检索的目录
.setSearchType(SearchType.DEFAULT)// Query type
.setQuery(QueryBuilders.disMaxQuery()
.add(QueryBuilders.matchQuery("name", searchParam.getKeyword()))
.add(QueryBuilders.matchQuery("intro", searchParam.getKeyword())
))
.addHighlightedField("name")
.addHighlightedField("intro")
.setHighlighterPreTags(FIELD_HIGHLIGHT_PRE_TAG)
.setHighlighterPostTags(FIELD_HIGHLIGHT_POST_TAG)
.setFrom(from).setSize(size).setExplain(true))
//搜索医生索引
.add(client.prepareSearch(DOCTOR_INDEX)// 检索的目录
.setSearchType(SearchType.DEFAULT)// Query type
.setQuery(QueryBuilders.disMaxQuery()
.add(QueryBuilders.matchQuery("name", searchParam.getKeyword()))
.add(QueryBuilders.matchQuery("disease_tag", searchParam.getKeyword()))
//城市// .add(QueryBuilders.matchQuery("city", searchParam.getCity()))
)
.addHighlightedField("name")
.addHighlightedField("disease_tag")
.setHighlighterPreTags(FIELD_HIGHLIGHT_PRE_TAG)
.setHighlighterPostTags(FIELD_HIGHLIGHT_POST_TAG)
.setFrom(from).setSize(size).setExplain(true))
.execute().actionGet();// 执行
SearchResultVo searchResultVo = new SearchResultVo();
List diseaseList = new ArrayList();
List doctorList = new ArrayList();
if(response.getResponses() != null) {
MultiSearchResponse.Item diseaseItem = response.getResponses().length>0?(response.getResponses())[0]:null;
MultiSearchResponse.Item doctorItem = response.getResponses().length>1?(response.getResponses())[1]:null;
if(diseaseItem!=null){
SearchResponse diseasResp = diseaseItem.getResponse();
System.out.println("命中疾病条数: " + diseasResp.getHits().getTotalHits());
searchResultVo.setDiseaseTotal(diseasResp.getHits().getTotalHits());
for (SearchHit hits : diseasResp.getHits().getHits()) {
Map sourceAsMap = hits.sourceAsMap();
//获取对应的高亮域
Map result = hits.highlightFields();
//从设定的高亮域中取得指定域
HighlightField highlightFieldText = result.get("name");
String code = (String)sourceAsMap.get("code");
HighlightField introField = result.get("intro");
String name = getHighlightFieldText(highlightFieldText);
name = StringUtils.isEmpty(name)?(String)sourceAsMap.get("name"):name;
String intro = getHighlightFieldText(introField);
intro = StringUtils.isEmpty(intro)?(String)sourceAsMap.get("intro"):intro;
BdDiseaseRpc bdDiseaseRpc = new BdDiseaseRpc();
bdDiseaseRpc.setName(name);
bdDiseaseRpc.setCode(code);
bdDiseaseRpc.setIntro(intro);
diseaseList.add(bdDiseaseRpc);
}
searchResultVo.setDiseaseList(diseaseList);
}
if(doctorItem!=null){
SearchResponse doctorResp = doctorItem.getResponse();
System.out.println("命中医生条数: " + doctorResp.getHits().getTotalHits());
searchResultVo.setDoctorTotal(doctorResp.getHits().getTotalHits());
for (SearchHit hits : doctorResp.getHits().getHits()) {
Map sourceAsMap = hits.sourceAsMap();
//获取对应的高亮域
Map result = hits.highlightFields();
//从设定的高亮域中取得指定域
HighlightField highlightFieldText = result.get("name");
String code = (String)sourceAsMap.get("code");
HighlightField diseaseTagField = result.get("disease_tag");
String name = getHighlightFieldText(highlightFieldText);
name = StringUtils.isEmpty(name)?(String)sourceAsMap.get("name"):name;
String diseaseTag = getHighlightFieldText(diseaseTagField);
diseaseTag = StringUtils.isEmpty(diseaseTag)?(String)sourceAsMap.get("disease_tag"):diseaseTag;
BdDoctorRpc bdDoctorRpc = new BdDoctorRpc();
bdDoctorRpc.setName(name);
bdDoctorRpc.setCode(code);
bdDoctorRpc.setDiseaseTag(diseaseTag);
doctorList.add(bdDoctorRpc);
}
searchResultVo.setDoctorList(doctorList);
}
}
return searchResultVo;
} 以上代码搜索疾病信息中的名字与简介,同时搜索了疾病和医生两个索引
设置分页查询
.setFrom(from).setSize(size).setExplain(true))
3高亮信息
设置高亮显示信息首尾包裹的标签
public static final String FIELD_HIGHLIGHT_PRE_TAG = "";
public static final String FIELD_HIGHLIGHT_POST_TAG = "";
.setHighlighterPreTags(FIELD_HIGHLIGHT_PRE_TAG)
.setHighlighterPostTags(FIELD_HIGHLIGHT_POST_TAG)获取高亮显示的结果信息
//从设定的高亮域中取得指定域
HighlightField highlightFieldText = result.get("name");
String code = (String)sourceAsMap.get("code");
HighlightField introField = result.get("intro");
String highlight = getHighlightFieldText(highlightFieldText);
String intro = getHighlightFieldText(introField);public String getHighlightFieldText(HighlightField highlightFieldText){
if(highlightFieldText==null){
return "";
}
//取得定义的高亮标签
Text[] higlightTexts = highlightFieldText.fragments();
//为title串值增加自定义的高亮标签
String higlightText = "";
for(Text text : higlightTexts){
higlightText += text;
}
return higlightText;
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本文名称：elasticsearch中java客户端api的使用方法-创新互联
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