elasticsearch java客户端api使用

1.客户端client构建
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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
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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<BdDiseaseRpc> diseaseList = new ArrayList<BdDiseaseRpc>(); 
            List<BdDoctorRpc> doctorList = new ArrayList<BdDoctorRpc>(); 
            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<String, Object> sourceAsMap = hits.sourceAsMap(); //获取对应的高亮域 Map<String, HighlightField> 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<String, Object> sourceAsMap = hits.sourceAsMap(); //获取对应的高亮域 Map<String, HighlightField> 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

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设置分页查询

.setFrom(from).setSize(size).setExplain(true))
​

3高亮信息

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设置高亮显示信息首尾包裹的标签

public static final String FIELD_HIGHLIGHT_PRE_TAG = "<span style=\"color:red\">"; 

public static final String FIELD_HIGHLIGHT_POST_TAG = "</span>"; .setHighlighterPreTags(FIELD_HIGHLIGHT_PRE_TAG) .setHighlighterPostTags(FIELD_HIGHLIGHT_POST_TAG)

~
​

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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; }