elasticsearch java客户端api使用(一)

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<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disease和doctor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 = "<span style=\"color:red\">"; 

    public static final String FIELD_HIGHLIGHT_POST_TAG = "</span>";

                .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);