elasticsearch java客户端api使用(一)

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; } } 

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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 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; } 

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以上代码搜索疾病信息中的名字与简介, 同时搜索了disease和doctor两个索引

设置分页查询

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

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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 = ""; 

    public static final String FIELD_HIGHLIGHT_POST_TAG = ""; .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);