SpringBoot整合ElasticSearch

1 SpringBoot整合ElasticSearch

1 SpringBoot整合ElasticSearch

1.1 pom依赖和版本关系

1.1.1 pom.xml

导入elasticsearch依赖，在pom.xml里加入如下依赖

<dependency>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>

注意：检查依赖版本是否与前所用的版本是否一致，如果不一致，会连接失败
在这里插入图片描述

1.1.2 版本关系

SpringBoot 版本问题，SpringBoot 的版本对应不上ES的版本

Spring Data Release Train	Spring Data Elasticsearch	Elasticsearch	Spring Framework	Spring Boot
2021.2 (Raj)	4.4.x	7.17.9	5.3.x	2.7.x
2021.1 (Q)	4.3.x	7.15.2	5.3.x	2.6.x
2021.0 (Pascal)	4.2.x[1]	7.12.0	5.3.x	2.5.x
2020.0 (Ockham)[1]	4.1.x[1]	7.9.3	5.3.2	2.4.x
Neumann[1]	4.0.x[1]	7.6.2	5.2.12	2.3.x
Moore[1]	3.2.x[1]	6.8.12	5.2.12	2.2.x
Lovelace[1]	3.1.x[1]	6.2.2	5.1.19	2.1.x
Kay[1]	3.0.x[1]	5.5.0	5.0.13	2.0.x
Ingalls[1]	2.1.x[1]	2.4.0	4.3.25	1.5.x

由于以上ElasticSearch 版本之间的差距导致对应Spring Data ElasticSearch包的差距；所以在不降低 Spring Boot 版本的情况需兼容低版本的 ElasticSearch 的客户端。

解决方法：

方案一
由于不兼容，即放弃 Spring Data ElasticSearch 框架包，使用最直接的 Java ElasticSearch Client 连接即可，将 Client 注入到 Spring 容器中，使用High/Low Level Client API连接也是可以的（HighLevel 是在 LowLevel Client 的基础上封装而成的）
点击查看JavaAPI操作ES
方案二
由于 SpringBoot 2.3.x 以上版本只支持 ES7 服务，所以对于一些本身为SpringBoot 高版本的项目而言单纯的引入spring-boot-starter-data-elasticsearch 模块包是存在兼容性问题的，所以需要将 Spring Data ElasticSearch 单独引入，由于ES6对应的 Spring Data ElasticSearch 为3.2.x 版本

1.2 创建客户端

1.2.1 高级客户端

import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class ElasticSearchClientConfig {
    @Bean
    public RestHighLevelClient restHighLevelClient(){
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(
                        new HttpHost("服务器IP", 9200, "http")));
        return client;
    }
}

1.2.2 ES 8.0后客户端

@ConfigurationProperties(prefix = "elasticsearch")
@Configuration
@Data
public class ElasticsearchConfig {
  	//多个IP逗号隔开
    private String hosts;
    private String username;
    private String password;



    /**
     * 同步方式
     */
    @Bean
    public ElasticsearchClient elasticsearchClient() {
        HttpHost[] httpHosts = toHttpHost();
        // 用户认证对象
        CredentialsProvider credentialsProvider = new BasicCredentialsProvider();
        // 设置账号密码
        credentialsProvider.setCredentials(AuthScope.ANY, new UsernamePasswordCredentials(username, password));

        // Create the RestClient
        RestClient restClient = RestClient.builder(httpHosts).setHttpClientConfigCallback(hp -> {
            //es 保活，可以确保每次连接不是重新建立tcp 连接
            hp.setKeepAliveStrategy((response, context) -> 	Duration.ofMinutes(5).toMillis());
            hp.disableAuthCaching();

            hp.setDefaultCredentialsProvider(credentialsProvider);
            return hp;
        }).build();
        // Create the transport with a Jackson mapper
        RestClientTransport transport = new RestClientTransport(restClient, new JacksonJsonpMapper());
        // create the API client
        return new ElasticsearchClient(transport);
    }
    /**
     * 异步方式
     */
    public ElasticsearchAsyncClient elasticsearchAsyncClient() {
        HttpHost[] httpHosts = toHttpHost();
        RestClient restClient = RestClient.builder(httpHosts).build();
        RestClientTransport transport = new RestClientTransport(restClient, new JacksonJsonpMapper());
        return new ElasticsearchAsyncClient(transport);
    }
    /**
     * 解析配置的字符串hosts，转为HttpHost对象数组
     */
    private HttpHost[] toHttpHost() {
        if (!StringUtils.hasLength(hosts)) {
            throw new RuntimeException("invalid elasticsearch configuration. elasticsearch.hosts is null");
        }
        // 多个IP逗号隔开
        String[] hostArray = hosts.split(",");
        HttpHost[] httpHosts = new HttpHost[hostArray.length];
        HttpHost httpHost;
        for (int i = 0; i < hostArray.length; i++) {
            String[] strings = hostArray[i].split(":");
            httpHost = new HttpHost(strings[0], Integer.parseInt(strings[1]), "http");
            httpHosts[i] = httpHost;
        }
        return httpHosts;
    }
}

使用时注入 ElasticsearchClient 即可

@Autowired
private ElasticsearchClient elasticsearchClient;

注意：ES8.0后推荐用 ElasticsearchClient，而不是 RestHighLevelClient

1.3 基本用法

1.3.1 创建、判断存在、删除索引

import org.elasticsearch.action.admin.indices.delete.DeleteIndexRequest;
import org.elasticsearch.action.support.master.AcknowledgedResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.CreateIndexRequest;
import org.elasticsearch.client.indices.CreateIndexResponse;
import org.elasticsearch.client.indices.GetIndexRequest;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;

import java.io.IOException;

@SpringBootTest
public class ElasticsearchApplicationTests {

 @Autowired
 private RestHighLevelClient restHighLevelClient;

 @Test
 void testCreateIndex() throws IOException {
  //1.创建索引请求
  CreateIndexRequest request = new CreateIndexRequest("ljx666");
  //2.客户端执行请求IndicesClient，执行create方法创建索引，请求后获得响应
  CreateIndexResponse response=
    restHighLevelClient.indices().create(request, RequestOptions.DEFAULT);
  System.out.println(response);
 }

 @Test
 void testExistIndex() throws IOException {
        //1.查询索引请求
  GetIndexRequest request=new GetIndexRequest("ljx666");
        //2.执行exists方法判断是否存在
  boolean exists=restHighLevelClient.indices().exists(request,RequestOptions.DEFAULT);
  System.out.println(exists);
 }

 @Test
 void testDeleteIndex() throws IOException {
        //1.删除索引请求
  DeleteIndexRequest request=new DeleteIndexRequest("ljx666");
        //执行delete方法删除指定索引
  AcknowledgedResponse delete = restHighLevelClient.indices().delete(request, RequestOptions.DEFAULT);
  System.out.println(delete.isAcknowledged());
 }

}

1.3.2 对文档的CRUD

创建文档
注意：如果添加时不指定文档ID，他就会随机生成一个ID，ID唯一。
创建文档时若该ID已存在，发送创建文档请求后会更新文档中的数据。

@Test
void testAddUser() throws IOException {
 //1.创建对象
 User user=new User("Go",21,new String[]{"内卷","吃饭"});
 //2.创建请求
 IndexRequest request=new IndexRequest("ljx666");
 //3.设置规则 PUT /ljx666/_doc/1
 //设置文档id=6，设置超时=1s等，不设置会使用默认的
 //同时支持链式编程如 request.id("6").timeout("1s");
 request.id("6");
 request.timeout("1s");

 //4.将数据放入请求，要将对象转化为json格式
    //XContentType.JSON，告诉它传的数据是JSON类型
 request.source(JSONValue.toJSONString(user), XContentType.JSON);
    
 //5.客户端发送请求，获取响应结果
 IndexResponse indexResponse=restHighLevelClient.index(request,RequestOptions.DEFAULT);
 System.out.println(indexResponse.toString());
 System.out.println(indexResponse.status());
}

获取文档中的数据：

@Test
void testGetUser() throws IOException {
 //1.创建请求,指定索引、文档id
 GetRequest request=new GetRequest("ljx666","1");
 GetResponse getResponse=restHighLevelClient.get(request,RequestOptions.DEFAULT);
  
 System.out.println(getResponse);//获取响应结果
 //getResponse.getSource() 返回的是Map集合
 System.out.println(getResponse.getSourceAsString());//获取响应结果source中内容，转化为字符串
  
}

更新文档数据:
注意：需要将User对象中的属性全部指定值，不然会被设置为空，如User只设置了名称，那么只有名称会被修改成功，其他会被修改为null。

@Test
void testUpdateUser() throws IOException {
 //1.创建请求,指定索引、文档id
 UpdateRequest request=new UpdateRequest("ljx666","6");

 User user =new User("GoGo",21,new String[]{"内卷","吃饭"});
 //将创建的对象放入文档中
 request.doc(JSONValue.toJSONString(user),XContentType.JSON);

 UpdateResponse updateResponse=restHighLevelClient.update(request,RequestOptions.DEFAULT);
 System.out.println(updateResponse.status());//更新成功返回OK
}

删除文档:

@Test
void testDeleteUser() throws IOException {
 //创建删除请求，指定要删除的索引与文档ID
 DeleteRequest request=new DeleteRequest("ljx666","6");

 DeleteResponse updateResponse=restHighLevelClient.delete(request,RequestOptions.DEFAULT);
 System.out.println(updateResponse.status());//删除成功返回OK，没有找到返回NOT_FOUND
}

1.3.3 批量CRUD数据

这里只列出了批量插入数据，其他与此类似

注意：hasFailures()方法是返回是否失败，即它的值为false时说明上传成功

@Test
void testBulkAddUser() throws IOException {
 BulkRequest bulkRequest=new BulkRequest();
 //设置超时
 bulkRequest.timeout("10s");

 ArrayList<User> list=new ArrayList<>();
 list.add(new User("Java",25,new String[]{"内卷"}));
 list.add(new User("Go",18,new String[]{"内卷"}));
 list.add(new User("C",30,new String[]{"内卷"}));
 list.add(new User("C++",26,new String[]{"内卷"}));
 list.add(new User("Python",20,new String[]{"内卷"}));

 int id=1;
 //批量处理请求
 for (User u :list){
  //不设置id会生成随机id
  bulkRequest.add(new IndexRequest("ljx666")
    .id(""+(id++))
    .source(JSONValue.toJSONString(u),XContentType.JSON));
 }

 BulkResponse bulkResponse=restHighLevelClient.bulk(bulkRequest,RequestOptions.DEFAULT);
 System.out.println(bulkResponse.hasFailures());//是否执行失败,false为执行成功
}

1.3.4 查询所有、模糊查询、分页查询、排序、高亮显示

@Test
void testSearch() throws IOException {
 SearchRequest searchRequest=new SearchRequest("ljx666");//里面可以放多个索引
 SearchSourceBuilder sourceBuilder=new SearchSourceBuilder();//构造搜索条件

 //此处可以使用QueryBuilders工具类中的方法
 //1.查询所有
 sourceBuilder.query(QueryBuilders.matchAllQuery());
 //2.查询name中含有Java的
 sourceBuilder.query(QueryBuilders.multiMatchQuery("java","name"));
 //3.分页查询
 sourceBuilder.from(0).size(5);
    
 //4.按照score正序排列
 //sourceBuilder.sort(SortBuilders.scoreSort().order(SortOrder.ASC));
 //5.按照id倒序排列（score会失效返回NaN）
 //sourceBuilder.sort(SortBuilders.fieldSort("_id").order(SortOrder.DESC));

 //6.给指定字段加上指定高亮样式
 HighlightBuilder highlightBuilder=new HighlightBuilder();
 highlightBuilder.field("name").preTags("<span style='color:red;'>").postTags("</span>");
 sourceBuilder.highlighter(highlightBuilder);
  
 searchRequest.source(sourceBuilder);
 SearchResponse searchResponse=restHighLevelClient.search(searchRequest,RequestOptions.DEFAULT);

 //获取总条数
 System.out.println(searchResponse.getHits().getTotalHits().value);
 //输出结果数据（如果不设置返回条数，大于10条默认只返回10条）
 SearchHit[] hits=searchResponse.getHits().getHits();
 for(SearchHit hit :hits){
  System.out.println("分数:"+hit.getScore());
  Map<String,Object> source=hit.getSourceAsMap();
  System.out.println("index->"+hit.getIndex());
  System.out.println("id->"+hit.getId());
  for(Map.Entry<String,Object> s:source.entrySet()){
   System.out.println(s.getKey()+"--"+s.getValue());
  }
 }
}

1.4 高阶用法

1.4.1 精确查询

1.4.1.1 单条件精确查询

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 单条件精确查询
     * @throws IOException
     */
    @Test
    public void search0() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .query(QueryBuilders.termsQuery("name", "赵里"));

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }

}

1.4.1.2 根据 id 精确匹配

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 根据id精确匹配
     * @throws IOException
     */
    @Test
    public void searchById() throws IOException {
        String[] ids = new String[]{"1","2"};
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .query(QueryBuilders.termsQuery("_id", ids));

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.2 多条件精确查询，取并集

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 多条件精确查询，取并集
     * @throws IOException
     */
    @Test
    public void search1() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .query(QueryBuilders.termsQuery("name", "张", "陈"));

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.3 范围查询

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 范围查询，包括from、to
     * @throws IOException
     */
    @Test
    public void search2() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .query(QueryBuilders.rangeQuery("age").from(20).to(32));

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }


    /**
     * 范围查询，不包括from、to
     * @throws IOException
     */
    @Test
    public void search3() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .query(QueryBuilders.rangeQuery("age").from(20,false).to(30, false));

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }


    /**
     * 范围查询, lt:小于，gt:大于
     * @throws IOException
     */
    @Test
    public void search4() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .query(QueryBuilders.rangeQuery("age").lt(30).gt(20));

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.4 模糊查询，支持通配符

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 模糊查询，支持通配符
     * @throws IOException
     */
    @Test
    public void search5() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .query(QueryBuilders.wildcardQuery("name","张三"));

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }

}

1.4.5 不使用通配符的模糊查询，左右匹配

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 不使用通配符的模糊查询，左右匹配
     * @throws IOException
     */
    @Test
    public void search6() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .query(QueryBuilders.queryStringQuery("张三").field("name"));

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.6 多字段模糊查询

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 多字段模糊查询
     * @throws IOException
     */
    @Test
    public void search7() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .query(QueryBuilders.multiMatchQuery("长", "name", "city"));

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.7 分页+排序查询

1.4.7.1 分页

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 分页搜索
     * @throws IOException
     */
    @Test
    public void search8() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .from(0).size(2);

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }

}

1.4.7.2 排序查询

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 排序，字段的类型必须是：integer、double、long或者keyword
     * @throws IOException
     */
    @Test
    public void search9() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .sort("createTime", SortOrder.ASC);

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }

}

1.4.7.3 分页+排序

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 多条件查询 + 排序 + 分页
     * @throws IOException
     */
    @Test
    public void search29() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder();

        //条件搜索
        BoolQueryBuilder boolQueryBuilder=new BoolQueryBuilder();
        boolQueryBuilder.must(QueryBuilders.matchQuery("name", "张王"));
        boolQueryBuilder.must(QueryBuilders.rangeQuery("age").lte(30).gte(20));
        builder.query(boolQueryBuilder);

        //结果集合分页
        builder.from(0).size(2);

        //排序
        builder.sort("createTime",SortOrder.ASC);

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.8 精确统计筛选文档数

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 精确统计筛选文档数,查询性能有所降低
     * @throws IOException
     */
    @Test
    public void search10() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .trackTotalHits(true);

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }

}

1.4.9 设置源字段过滤返回

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 设置源字段过虑,第一个参数结果集包括哪些字段，第二个参数表示结果集不包括哪些字段
     * @throws IOException
     */
    @Test
    public void search11() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .fetchSource(new String[]{"name","age","city","createTime"},new String[]{});

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.10 match 搜索匹配

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * match搜索匹配
     * @throws IOException
     */
    @Test
    public void search22() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder()
                .query(QueryBuilders.matchQuery("name", "张王"));

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.11 bool组合查询

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * bool组合查询
     * @throws IOException
     */
    @Test
    public void search23() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder();

        BoolQueryBuilder boolQueryBuilder=new BoolQueryBuilder();
        boolQueryBuilder.must(QueryBuilders.matchQuery("name", "张王"));
        boolQueryBuilder.must(QueryBuilders.rangeQuery("age").lte(30).gte(20));
        builder.query(boolQueryBuilder);

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.12 nested 类型嵌套查询

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * nested类型嵌套查询
     * @throws IOException
     */
    @Test
    public void search24() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder();

        //条件查询
        BoolQueryBuilder mainBool=new BoolQueryBuilder();
        mainBool.must(QueryBuilders.matchQuery("name", "赵六"));

        //nested类型嵌套查询
        BoolQueryBuilder boolQueryBuilder=new BoolQueryBuilder();
        boolQueryBuilder.must(QueryBuilders.matchQuery("products.brand", "A"));
        boolQueryBuilder.must(QueryBuilders.matchQuery("products.title", "巧克力"));
        NestedQueryBuilder nested = QueryBuilders.nestedQuery("products",boolQueryBuilder, ScoreMode.None);
        mainBool.must(nested);

        builder.query(mainBool);

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.13 聚合查询

1.4.13.1 求和

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 聚合查询 sum
     * @throws IOException
     */
    @Test
    public void search30() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder();

        //条件搜索
        builder.query(QueryBuilders.matchAllQuery());
        //聚合查询
        AggregationBuilder aggregation = AggregationBuilders.sum("sum_age").field("age");
        builder.aggregation(aggregation);

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.13.2 求平均值

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 聚合查询 avg
     * @throws IOException
     */
    @Test
    public void search31() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder();

        //条件搜索
        builder.query(QueryBuilders.matchAllQuery());
        //聚合查询
        AggregationBuilder aggregation = AggregationBuilders.avg("avg_age").field("age");
        builder.aggregation(aggregation);

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.13.3 计数

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 聚合查询 count
     * @throws IOException
     */
    @Test
    public void search32() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder();

        //条件搜索
        builder.query(QueryBuilders.matchAllQuery());
        //聚合查询
        AggregationBuilder aggregation = AggregationBuilders.count("count_age").field("age");
        builder.aggregation(aggregation);

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

1.4.13.4 分组

@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class SearchJunit {

    @Autowired
    private RestHighLevelClient client;

    /**
     * 聚合查询 分组
     * @throws IOException
     */
    @Test
    public void search33() throws IOException {
        // 创建请求
        SearchSourceBuilder builder = new SearchSourceBuilder();

        //条件搜索
        builder.query(QueryBuilders.matchAllQuery());
        //聚合查询
        AggregationBuilder aggregation = AggregationBuilders.terms("tag_createTime").field("createTime")
                .subAggregation(AggregationBuilders.count("count_age").field("age")) //计数
                .subAggregation(AggregationBuilders.sum("sum_age").field("age")) //求和
                .subAggregation(AggregationBuilders.avg("avg_age").field("age")); //求平均值

        builder.aggregation(aggregation);

        //不输出原始数据
        builder.size(0);

        //搜索
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices("cs_index");
        searchRequest.types("_doc");
        searchRequest.source(builder);
        // 执行请求
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        // 解析查询结果
        System.out.println(response.toString());
    }
}

参考链接：https://mp.weixin.qq.com/s/F-eleu11MZLDiGpHfECdRg

1.5 总结

大致流程
创建对应的请求 --> 设置请求（添加规则，添加数据等） --> 执行对应的方法（传入请求，默认请求选项）–> 接收响应结果（执行方法返回值）–> 输出响应结果中需要的数据（source，status等）
注意事项
如果不指定id，会自动生成一个随机id
正常情况下，不应该这样使用new IndexRequest(“ljx777”)，如果索引发生改变了，那么代码都需要修改，可以定义一个枚举类或者一个专门存放常量的类，将变量用final static等进行修饰，并指定索引值。其他地方引用该常量即可，需要修改也只需修改该类即可。
elasticsearch相关的东西，版本都必须一致，不然会报错
elasticsearch很消耗内存，建议在内存较大的服务器上运行elasticsearch，否则会因为内存不足导致elasticsearch自动killed

转载于：https://mp.weixin.qq.com/s/G8x18bvHQz60gGu1YiRJ5w

posted @ 2022-11-30 19:07 上善若泪阅读(129) 评论(0) 编辑收藏举报

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