1、环境准备

(1)添加依赖

    <dependency>

        <groupId>org.elasticsearch.client</groupId>

        <artifactId>elasticsearch-rest-high-level-client</artifactId>

    </dependency>

    <dependency>

        <groupId>org.elasticsearch</groupId>

        <artifactId>elasticsearch</artifactId>

    </dependency>

(2)配置文件

application.yml

server:

  port: ${port:}

spring:

  application: service-search

elasticsearch:

  hostlist:

    - 127.0.0.1: #多个节点中间用逗号分隔[addr1,addr2]

(3)创建配置类

package com.search.config;

import java.util.ArrayList;

import java.util.List;

import org.apache.http.HttpHost;

import org.elasticsearch.client.RestClient;

import org.elasticsearch.client.RestHighLevelClient;

import org.springframework.boot.context.properties.ConfigurationProperties;

import org.springframework.context.annotation.Bean;

import org.springframework.context.annotation.Configuration;

import lombok.Getter;

import lombok.Setter;

@Configuration

@ConfigurationProperties(prefix="elasticsearch")

@Getter

@Setter

public class ElasticSearchConfig {

    private List<String> hostlist;

    @Bean

    public RestHighLevelClient restHighLevelClient(){

        List<HttpHost> httpHostList = new ArrayList<>(hostlist.size());

        //封装es服务端地址

        for(String host:hostlist){

            HttpHost httpHost = new HttpHost(host.split(":")[0], Integer.parseInt(host.split(":")[1]), "http");

            httpHostList.add(httpHost);

        }

        return new RestHighLevelClient(RestClient.builder(httpHostList.toArray(new HttpHost[0])));

    }

    //把低级客户端也注入，但是基本不用

    @Bean

    public RestClient restClient(){

        List<HttpHost> httpHostList = new ArrayList<>(hostlist.size());

        //封装es服务端地址

        for(String host:hostlist){

            HttpHost httpHost = new HttpHost(host.split(":")[0], Integer.parseInt(host.split(":")[1]), "http");

            httpHostList.add(httpHost);

        }

        return RestClient.builder(httpHostList.toArray(new HttpHost[0])).build();

    }

}

2、索引管理测试

package com.search.test;

import java.io.FileInputStream;

import org.apache.commons.io.IOUtils;

import org.elasticsearch.action.admin.indices.create.CreateIndexRequest;

import org.elasticsearch.action.admin.indices.create.CreateIndexResponse;

import org.elasticsearch.action.admin.indices.delete.DeleteIndexRequest;

import org.elasticsearch.action.admin.indices.delete.DeleteIndexResponse;

import org.elasticsearch.client.IndicesClient;

import org.elasticsearch.client.RestClient;

import org.elasticsearch.client.RestHighLevelClient;

import org.elasticsearch.common.settings.Settings;

import org.elasticsearch.common.xcontent.XContentType;

import org.junit.Test;

import org.junit.runner.RunWith;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.boot.test.context.SpringBootTest;

import org.springframework.test.context.junit4.SpringRunner;

@SpringBootTest

@RunWith(SpringRunner.class)

public class TestIndex {

    @Autowired

    RestHighLevelClient client;

    @Autowired

    RestClient restClient;

    //创建索引库

    @Test

    public void testCreateIndex()throws Exception{

        //创建索引请求对象、并设置索引名称

        CreateIndexRequest createIndexRequest = new CreateIndexRequest("course");

        //设置参数

        Settings settings = Settings.builder().put("number_of_shards", 1)

                          .put("number_of_replicas",0)

                          .build();

        createIndexRequest.settings(settings);

        FileInputStream is = new FileInputStream(this.getClass().getResource("/").getPath()+"mapping.json");

        String mappingJson = IOUtils.toString(is);

        System.err.println(mappingJson);

        //设置映射

        createIndexRequest.mapping("doc",mappingJson,XContentType.JSON);

        //创建索引操作对象

        IndicesClient indices = client.indices();

        CreateIndexResponse createIndexResponse = indices.create(createIndexRequest);

        //获得相应是否成功

        boolean acknowledged = createIndexResponse.isAcknowledged();

        System.out.println(acknowledged);

    }

    //删除索引库

    @Test

    public void testDeleteIndex()throws Exception{

        //穿建删除索引库请求对象

        DeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest("course");

        //删除索引库

        DeleteIndexResponse deleteIndexResponse= client.indices().delete(deleteIndexRequest);

        //删除结果

        boolean acknowledged = deleteIndexResponse.isAcknowledged();

        System.out.println(acknowledged);

    }

}

mapping.json

         {

                "properties": {

                    "description": {

                        "type": "text",

                        "analyzer": "ik_max_word",

                        "search_analyzer": "ik_smart"

                    },

                    "name": {

                        "type": "text",

                        "analyzer": "ik_max_word",

                        "search_analyzer": "ik_smart"

                    },

                    "pic":{

                        "type":"text",

                        "index":false

                    },

                    "price": {

                        "type": "float"

                    },

                    "studymodel": {

                        "type": "keyword"

                    },

                    "timestamp": {

                        "type": "date",

                        "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"

                    }

                }

            }

这里特别注意：使用了比例因子浮点数，索引库创建成功之后，在head客户端，数据浏览的字段结构中没有展示，但是实际数据中是存在的，已经成功了

3、文档管理测试

package com.xuecheng.search.test;

import java.io.FileInputStream;

import java.io.InputStream;

import java.util.HashMap;

import java.util.Map;

import org.apache.commons.io.IOUtils;

import org.elasticsearch.action.delete.DeleteRequest;

import org.elasticsearch.action.delete.DeleteResponse;

import org.elasticsearch.action.get.GetRequest;

import org.elasticsearch.action.get.GetResponse;

import org.elasticsearch.action.index.IndexRequest;

import org.elasticsearch.action.index.IndexResponse;

import org.elasticsearch.action.update.UpdateRequest;

import org.elasticsearch.action.update.UpdateResponse;

import org.elasticsearch.client.RestHighLevelClient;

import org.elasticsearch.common.xcontent.XContentType;

import org.junit.Test;

import org.junit.runner.RunWith;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.boot.test.context.SpringBootTest;

import org.springframework.test.context.junit4.SpringRunner;

@SpringBootTest

@RunWith(SpringRunner.class)

public class TestDocument {

    @Autowired

    private RestHighLevelClient client;

    //添加文档

    @Test

    public void testAddDoc() throws Exception{

        //加载准备好了的json数据

        InputStream is = new FileInputStream(this.getClass().getResource("/").getPath()+"document.json");

        String docJsonStr = IOUtils.toString(is);

        System.err.println(docJsonStr);

        //获取索引库对象

        IndexRequest indexRequest = new IndexRequest("course","doc"); //特别注意doc不要掉、否则报错org.elasticsearch.action.ActionRequestValidationException: Validation Failed: 1: type is missing;

        indexRequest.source(docJsonStr, XContentType.JSON);

        //往索引库添加文档,这个动作也叫索引

        IndexResponse indexResponse = client.index(indexRequest);

        //打印结果

        System.out.println(indexResponse.getResult());

    }

    /**

     * 查询文档(根据id查)

     * 结果

     * {

     *   "description":"Bootstrap是由Twitter推出的一个前台页面开发框架，在行业之中使用较为广泛。

     *                 此开发框架包 含了大量的CSS、JS程序代码，可以帮助开发者（尤其是不擅长页面开发的程序人员）

     *                 轻松的实现一个不受浏览器限制的 精美界面效果。",

     *   "name":"Bootstrap开发框架",

     *   "studymodel":"201001",

     *   "price":62.658

     * }

     */

    @Test

    public void testGetDoc()throws Exception{

        GetRequest getRequest = new GetRequest("course",

                                               "doc",

                                               "TOFP1mcBf3IfcTiHcsXB");

        GetResponse getResponse = client.get(getRequest);

        if(getResponse.isExists()){

            String sourceAsString = getResponse.getSourceAsString();

            System.out.println(sourceAsString);

        }

    }

    /**

     * 更新文档

     * 打印结果： OK

     * 注意这里采用的是局部更新：只修改map中设置的字段，没有的不会更新。

     * 更新文档的实际顺序是： 检索文档、标记删除、创建新文档、删除原文档

     * 创建新文档就会重构索引(分词-重构倒排索引树)

     *

     */

    @Test

    public void testUpdateDoc()throws Exception{

        UpdateRequest updateRequest = new UpdateRequest("course",

                          "doc",

                          "TOFP1mcBf3IfcTiHcsXB");

        Map<String, String> map = new HashMap<String,String>();

        map.put("name", "Bootstrap框架");

        updateRequest.doc(map);

        UpdateResponse updateResponse = client.update(updateRequest);

        System.out.println(updateResponse.status());

    }

    /**

     * 删除文档

     * 打印结果：DELETED

     */

    @Test

    public void testDelDoc() throws Exception{

        DeleteRequest deleteRequest = new DeleteRequest("course",

                                                        "doc",

                                                        "TOFP1mcBf3IfcTiHcsXB");

        DeleteResponse deleteResponse = client.delete(deleteRequest);

        System.out.println(deleteResponse.getResult());

    }

}

4、搜索管理测试

准备数据

初始化文档：

{

"name": "Bootstrap开发",

"description": "Bootstrap是由Twitter推出的一个前台页面开发框架，是一个非常流行的开发框架，此框架集成了多种页面效果。此开发框架包含了大量的CSS、JS程序代码，可以帮助开发者（尤其是不擅长页面开发的程序人员）轻松的实现一个不受浏览器限制的精美界面效果。",

"studymodel": "201002",

"price":38.6,

"timestamp":"2018-04-25 19:11:35",

"pic":"group1/M00/00/00/wKhlQFs6RCeAY0pHAAJx5ZjNDEM428.jpg"

}

{

"name": "java编程基础",

"description": "java语言是世界第一编程语言，在软件开发领域使用人数最多。",

"studymodel": "201001",

"price":68.6,

"timestamp":"2018-03-25 19:11:35",

"pic":"group1/M00/00/00/wKhlQFs6RCeAY0pHAAJx5ZjNDEM428.jpg"

}

{

"name": "spring开发基础",

"description": "spring 在java领域非常流行，java程序员都在用。",

"studymodel": "201001",

"price":88.6,

"timestamp":"2018-02-24 19:11:35",

"pic":"group1/M00/00/00/wKhlQFs6RCeAY0pHAAJx5ZjNDEM428.jpg"

}

测试

package com.xuecheng.search.test;

import org.elasticsearch.action.search.SearchRequest;

import org.elasticsearch.action.search.SearchResponse;

import org.elasticsearch.client.RestClient;

import org.elasticsearch.client.RestHighLevelClient;

import org.elasticsearch.index.query.BoolQueryBuilder;

import org.elasticsearch.index.query.MatchQueryBuilder;

import org.elasticsearch.index.query.MultiMatchQueryBuilder;

import org.elasticsearch.index.query.QueryBuilders;

import org.elasticsearch.index.query.TermQueryBuilder;

import org.elasticsearch.index.query.TermsQueryBuilder;

import org.elasticsearch.search.SearchHit;

import org.elasticsearch.search.SearchHits;

import org.elasticsearch.search.builder.SearchSourceBuilder;

import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;

import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder.Field;

import org.elasticsearch.search.sort.FieldSortBuilder;

import org.elasticsearch.search.sort.SortOrder;

import org.junit.Test;

import org.junit.runner.RunWith;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.boot.test.context.SpringBootTest;

import org.springframework.test.context.junit4.SpringRunner;

@SpringBootTest

@RunWith(SpringRunner.class)

public class TeseSearch {

    @Autowired

    RestHighLevelClient client;

    @Autowired

    RestClient restClient;

    /**

     * 查询type下所有文档

     * 打印结果:

     *  {"studymodel":"201002","name":"Bootstrap开发"}

        {"studymodel":"201001","name":"java编程基础"}

        {"studymodel":"201001","name":"spring开发基础"}

       对应http请求json

       {

         "query": {

           "match_all": {}

         },

         "_source": ["name","studymodel"]

       }

     */

    @Test

    public void testSearchAll()throws Exception{

        //1、构造sourceBuild(source源)

        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        searchSourceBuilder.fetchSource(new String[]{"name","studymodel"}, new String[]{})

                           .query(QueryBuilders.matchAllQuery());

        //2、构造查询请求对象

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc")

                     .source(searchSourceBuilder);

        //3、client 执行查询

        SearchResponse searchResponse = client.search(searchRequest);

        //4、打印结果

        SearchHits hits = searchResponse.getHits();

        for(SearchHit hit:hits){

            System.out.println(hit.getSourceAsString());

        }

    }

    /**

     * 分页查询type下所有文档

     *

     * json 参数

     * {

     *   "from":0,

     *   "size":1,

     *   "query": {

     *      "match_all": {}

     *   },

     *   "_source": ["name","studymodel"]

     * }

     *

     * 打印结果

     * {"studymodel":"201002","name":"Bootstrap开发"}

       {"studymodel":"201001","name":"java编程基础"}

     */

    @Test

    public void testSearchAllByPage()throws Exception{

        //1、构造sourceBuild

        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        searchSourceBuilder.fetchSource(new String[]{"name","studymodel"}, new String[]{})

                           .query(QueryBuilders.matchAllQuery())

                           .from(0).size(2);//分页查询,下表从0开始

        //2、构造searchRequest请求对象

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc")

                     .source(searchSourceBuilder);

        //3、client执行请求

        SearchResponse searchResponse = client.search(searchRequest);

        //4、打印结果

        SearchHits hits = searchResponse.getHits();

        for(SearchHit hit:hits){

            System.out.println(hit.getSourceAsString());

        }

    }

    /**

     * term query: 精确查询、在搜索是会精确匹配关键字、搜索关键字不分词

     *

     * json 参数

     * {

     *

     *   "query": {

     *      "term": {

     *          name: "spring"

     *      }

     *   },

     *   "_source": ["name","studymodel"]

     * }

     */

    @Test

    public void testTermQuery()throws Exception{

        //1、设置queryBuilder

        TermQueryBuilder termQueryBuild = QueryBuilders.termQuery("name","spring");

        //2、设置sourceBuilder

        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        searchSourceBuilder.query(termQueryBuild)//设置Term query查询

                           .fetchSource(new String[]{"name","studymodel"}, new String[]{});

        //3、构造searchRequest

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc")

                     .source(searchSourceBuilder);

        //4、client发出请求

        SearchResponse searchResponse = client.search(searchRequest);

        //5、打印结果

        SearchHits hits = searchResponse.getHits();

        for(SearchHit hit:hits){

            System.out.println(hit.getSourceAsString());

        }

    }

    /**

     * 根据id精确查询:根据提供的多个id去匹配

     *

     * json 参数

     * {

     *   query{

             "ids": {

                "type": "doc",

                "values": ["TeH_2WcBH5cUK","TuEB2mcBf3IfcTiHccWJ"]

             }

     *   },

     *   "_source": ["name","studymodel"]

     * }

     */

    @Test

    public void testIdsQuery()throws Exception{

        //1、够着queryBuild

        //构造idList,注意数组每个元素必须是一个完整的id能匹配的上,第一条没有记录匹配上，第二条中

        String[] idList = new String[]{"TeH_2WcBH5cUK","TuEB2mcBf3IfcTiHccWJ"};

        TermsQueryBuilder termsQueryBuilder = QueryBuilders.termsQuery("_id",idList);//特别注意用termsQuery,不要用termQuery

        //2、构造sourceBuilder

        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        searchSourceBuilder.query(termsQueryBuilder)

                           .fetchSource(new String[]{"name","studymodel"}, new String[]{});;

        //3、构造searchRequest

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc")

                     .source(searchSourceBuilder);

        //4、client执行

        SearchResponse searchResponse = client.search(searchRequest);

        SearchHits hits = searchResponse.getHits();

        //5、打印结果

        for(SearchHit hit:hits){

            System.out.println(hit.getSourceAsString());

        }

    }

    /**

     * match Query就是全文检索,收缩方式就是先将搜索字符串分词、然后到索引分词列表去匹配

     * json 参数

     * {

     *   query{

     *     "match": {

     *         "descrition":{  //还是需要指定字段的，description是字段名

     *                 "query": "世界第一",

     *              "operate": "or"  //or表示分词之后，只要有一个匹配即可,and表示分词在文档中都匹配才行

     *         }

     *      },

     *      "_source": ["name","studymodel"]

     *   }

     * }

     */

    @Test

    public void testmatchQuery()throws Exception{

        //queryBuild

        MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("description", "世界第一");

        //searchSorcebuilder

        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        searchSourceBuilder.query(matchQueryBuilder)

                           .fetchSource(new String[]{"name","studymodel"}, new String[]{});

        //searchRequest

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc")

                     .source(searchSourceBuilder);

        //client->search

        SearchResponse searchResponse = client.search(searchRequest);

        SearchHits hits = searchResponse.getHits();

        //print end

        for(SearchHit hit:hits){

            System.out.println(hit.getSourceAsString());

        }

    }

    /**

     * minimum_should_match:

     *   or只能表示只要匹配一个即可、minimum_should_match可以指定文档匹配词的占比,注意这个占比的基数是搜索字符串分词的个数

     * json 参数

     * {

     *   query{

     *     "match": {

     *         "descrition":{  //还是需要指定字段的，description是字段名

     *                 "query": "spring开发",

     *              "minimun_should_match": "80%"

     *         }

     *      },

     *      "_source": ["name","studymodel"]

     *   }

     * }

     */

    @Test

    public void testMinimumShouldMatchQuery()throws Exception{

        //queryBuild

        MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("description", "世界第一")

                     .minimumShouldMatch("80%");

        //searchSourceBuilder

        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        searchSourceBuilder.query(matchQueryBuilder)

                           .fetchSource(new String[]{"name","studymodel"}, new String[]{});

        //searchRequest

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc")

                     .source(searchSourceBuilder);

        SearchResponse searchResponse = client.search(searchRequest);

        SearchHits hits = searchResponse.getHits();

        for(SearchHit hit:hits){

            System.out.println(hit.getSourceAsString());

        }

    }

    /**

     * multi_match Query:

     *   用于一次匹配多个File进行全文检索、前面match都是一个Field

     *   多个字段可以通过提升boost(权重),来提高得分,实现排序靠前

     *

     * json 参数

     * {

     *   query{

     *     "multi_match": {

     *         "query": "spring css", //搜索字符串

     *         "minimum_should_match": "50%",

     *         "fields": ["name^10","description"] //设置匹配name 和 description字段,将boost的boost提10倍

     *      }

     *   }

     * }

     */

    @Test

    public void testMultiMatchQuery()throws Exception{

        //queryBuilder

        MultiMatchQueryBuilder matchQueryBuilder = QueryBuilders.multiMatchQuery("Spring框架","name","description")

                                                                .minimumShouldMatch("50%")//设置百分比

                                                                .field("name", 10);//提升boost

        //searchSourceBuild

        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        searchSourceBuilder.query(matchQueryBuilder); 

        //searchRequest

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc")

                     .source(searchSourceBuilder);

        //search

        SearchResponse searchResponse = client.search(searchRequest);

        SearchHits hits = searchResponse.getHits();

        for(SearchHit hit:hits){

            System.out.println(hit.getSourceAsString());

        }

    }

    /**

     * 布尔查询

     *   对应lucene的Boolean查询、实现将多个查询条件结合起来

     *   三个参数：

     *      must:只有符合所有查询的文档才被查询出来,相当于AND

     *      should:至少符合其中一个,相当于OR

     *      must_not:不能符合任意查询条件,相当于NOT

     *

     * json 参数

     * {

     *   "_source": ["name","pic"],

     *   "from": 0,

     *   "size": 1,

     *   query{

     *     bool:{

     *      must: [

     *         {

     *           "multi_match": {

     *             "query": "spring框架",

     *             "minimum_should_match": "50%",

     *             "fields": ["name^10","description"]

     *           }

     *         },{

     *           "term": {

     *             "studymodel": "201001"

     *           }

     *         }

     *      ]

     *    }

     *   }

     * }

     */

    @Test

    public void testBooleanQuery()throws Exception{

        //1、够着QueryBuild

        //构造multiQureyBuilder

        MultiMatchQueryBuilder multiQueryBuilder = QueryBuilders.multiMatchQuery("Spring框架","name","description")

                                                                .minimumShouldMatch("50%")//设置百分比

                                                                .field("name", 10);

         //构造termQueryBuilder

        TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("studymodel", "201001");

        //构造booleanQueryBuilder

        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery()

                     .must(multiQueryBuilder)

                     .must(termQueryBuilder);

        //2、构造查询源

        SearchSourceBuilder ssb = new SearchSourceBuilder();

        ssb.fetchSource(new String[]{"name","pic"}, new String[]{});

        ssb.query(boolQueryBuilder);

        //3、构造请求对象查询

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc");

        searchRequest.source(ssb);

        //4、client执行查询

        SearchResponse searchResponse = client.search(searchRequest);

        SearchHits hits = searchResponse.getHits();

        for(SearchHit hit:hits){

            System.out.println(hit.getSourceAsString());

        }

    }

    /**

     * 过滤器:

     *   过滤器判断的是文档是否匹配，不去计算和判断文档的匹配度得分,所以过滤器性能比查询高、方便缓存

     *   推荐尽量使用过滤器、或则过滤器搭配查询使用

     *   过滤器使用的前提是bool查询

     *   过滤器可以单独使用,但是不能提点multi Query, 因为过滤器每个Query都是单字段过滤

     *

     * json 参数

     * {

     *   "_source": ["name","pic"],

     *   "from": 0,

     *   "size": 1,

     *   query{

     *     bool:{

     *      must: [

     *         {

     *           "multi_match": {

     *             "query": "spring框架",

     *             "minimum_should_match": "50%",

     *             "fields": ["name^10","description"]

     *           }

     *         }

     *      ],

     *      fileter: [

     *         {

     *            term: {"studymodel": "21001"} //针对字段进行过滤

     *         },{

     *            range: {  //针对范围进行过滤

     *              "price": {"gte":60,"lte":100}

     *            }

     *         }

     *      ]

     *    }

     *   }

     * }

     */

    @Test

    public void testFileter()throws Exception{

        //1、构造QueryBuild

        //构造multiQureyBuilder

        MultiMatchQueryBuilder multiQueryBuilder = QueryBuilders.multiMatchQuery("Spring框架","name","description")

                                                                .minimumShouldMatch("50%")//设置百分比

                                                                .field("name", 10);

        //构造booleanQueryBuilder

        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery()

                     .must(multiQueryBuilder);

        //过滤

        boolQueryBuilder.filter(QueryBuilders.termQuery("studymodel", "201001"))

                        .filter(QueryBuilders.rangeQuery("price").gte(60).lte(100));

        //2、构造查询源

        SearchSourceBuilder ssb = new SearchSourceBuilder();

        ssb.fetchSource(new String[]{"name","pic"}, new String[]{});

        ssb.query(boolQueryBuilder);

        //3、构造请求对象查询

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc");

        searchRequest.source(ssb);

        //4、client执行查询

        SearchResponse searchResponse = client.search(searchRequest);

        SearchHits hits = searchResponse.getHits();

        for(SearchHit hit:hits){

            System.out.println(hit.getSourceAsString());

        }

    }

    /**

     * 排序:

     * 可以设置排序字段对查询结果进行排序

     * keyword 、date 、float 等可以加

     * 注意text 不能加

     *

     * json 参数

     * {

     *   "_source": ["name","pic","description","price],

     *   query{

     *     bool:{

     *      fileter: [ //过滤器也可以单独使用,但是只能用于单个字段

     *         {

     *            term: {"studymodel": "21001"} //针对字段进行过滤

     *         },{

     *            range: {  //针对范围进行过滤

     *              "price": {"gte":60,"lte":100}

     *            }

     *         }

     *      ]

     *    }

     *   },

     *   "sort": [

     *     {

     *       "studymodel": "desc"

     *     },{

     *       "price": "asc"

     *     }

     *   ]

     * }

     */

    @Test

    public void testSort()throws Exception{

        //1、构造QueryBuild

        //构造booleanQueryBuilder

        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();

        //过滤

        boolQueryBuilder.filter(QueryBuilders.termQuery("studymodel", "201001"))

                        .filter(QueryBuilders.rangeQuery("price").gte(60).lte(100));

        //2、构造查询源

        SearchSourceBuilder ssb = new SearchSourceBuilder();

        ssb.fetchSource(new String[]{"name","pic","studymodel","price"}, new String[]{});

        ssb.query(boolQueryBuilder);

        ssb.sort(new FieldSortBuilder("studymodel").order(SortOrder.DESC));

        ssb.sort(new FieldSortBuilder("price").order(SortOrder.ASC));

        //3、构造请求对象查询

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc");

        searchRequest.source(ssb);

        //4、client执行查询

        SearchResponse searchResponse = client.search(searchRequest);

        SearchHits hits = searchResponse.getHits();

        for(SearchHit hit:hits){

            System.out.println(hit.getSourceAsString());

        }

    }

    /**

     * 高亮显示:

     * 将搜索结果中的一个或多个字突出显示，以便向用户展示匹配的关键字的位置

     *

     * json 参数

     */

    @Test

    public void testHighlight()throws Exception{

        //1、构造QueryBuild

        MultiMatchQueryBuilder multiQueryBuilder = QueryBuilders.multiMatchQuery("开发框架", "name","description")

                     .field("name", 10)

                     .minimumShouldMatch("50%");

        //构造booleanQueryBuilder

        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery()

                                                         .must(multiQueryBuilder);

        //过滤

        boolQueryBuilder.filter(QueryBuilders.termQuery("studymodel", "201001"))

                        .filter(QueryBuilders.rangeQuery("price").gte(60).lte(100));

        //2、设置高亮

        //设置标签

        HighlightBuilder highlightBuilder = new HighlightBuilder();

        highlightBuilder.preTags("<tag>")//设置签缀

                        .postTags("</tag>");//设置后缀

        //设置高亮字段

        highlightBuilder.fields().add(new Field("name"));

        highlightBuilder.fields().add(new Field("description"));

        //3、构造查询源

          SearchSourceBuilder ssb = new SearchSourceBuilder();

          ssb.fetchSource(new String[]{"name","pic","studymodel","price"}, new String[]{})

             .query(boolQueryBuilder)

             .sort(new FieldSortBuilder("studymodel").order(SortOrder.DESC))

             .sort(new FieldSortBuilder("price").order(SortOrder.ASC))

           .highlighter(highlightBuilder);

        //4、构造请求对象查询

        SearchRequest searchRequest = new SearchRequest("xc_course");

        searchRequest.types("doc")

                     .source(ssb);

        //5、client执行查询

        SearchResponse searchResponse = client.search(searchRequest);

        //6、取出高亮字段

        SearchHits hits = searchResponse.getHits();

        for(SearchHit hit:hits){

            System.out.println(hit.getHighlightFields());

        }

    }

}

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elasticsearch-java客户端测试

1、环境准备

(1)添加依赖

(2)配置文件

(3)创建配置类

2、索引管理测试

3、文档管理测试

4、搜索管理测试

准备数据

测试

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