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;

    }

}

​

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

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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)

~

​

 

​

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);