ES（Elasticsearch）+SpringBoot实现分页查询

1.ES介绍

  ES作为一个搜索工具，寄托于Lucene之上，提供了方便的数据存储和搜索服务，一般的用它来作为网页数据索引以及存储用户画像（即用户标签）数据，可以提供复具有复杂的查询条件的服务。例如在网页索引中，通过倒排的方式索引的方式，对文档进行分词存储，可以很快的定位关键字所在的文档，从而达到毫秒级的搜索效率；而在用户画像存储中，ES既可以作为标签宽表，提供类似HIVE宽表的特性，又可以达到传统关系型数据库或者HBase的实时查询的要求，所以在一般的用户画像存储中也是不二之选。文章来源地址https://www.toymoban.com/news/detail-574475.html

2.引入依赖

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
        </dependency>
        <dependency>
            <groupId>org.elasticsearch.client</groupId>
            <artifactId>elasticsearch-rest-high-level-client</artifactId>
            <version>7.8.0</version>
        </dependency>

3.配置客户端进行连接

package com.lantu.config;

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 RestClientConfig {


    //配置RestHighLevelClient依赖到spring容器中待用
    @Bean
    public RestHighLevelClient restHighLevelClient(){
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(
                        //绑定本机，端口，协议，如果是ES集群，就配置多个
                        new HttpHost("127.0.0.1",9200,"http")));
        return client;
    }
}

4.编写接口并实现分页查询

    @ApiOperation("ES快搜")
    @GetMapping("/wen")
    public Result<Map<String,Object>> getProblemList(@RequestParam(value = "wenti") String wenti,
                                                @RequestParam(value = "pageNo",required = false) Integer pageNo,
                                                @RequestParam(value = "pageSize") Integer pageSize) throws IOException {

        SearchRequest searchRequest = new SearchRequest("problem");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        searchSourceBuilder.query(QueryBuilders.matchPhraseQuery("wenti", wenti).analyzer("ik_max_word"));

        //过滤查询
        String[] excludes = {};
        String[] includes = {"wenti","lab","id"};
        searchSourceBuilder.fetchSource(includes, excludes);

        searchSourceBuilder.from(pageNo);
        searchSourceBuilder.size(pageSize);

        searchRequest.source(searchSourceBuilder);

        SearchResponse response = client.search(searchRequest,RequestOptions.DEFAULT);
        SearchHits hits = response.getHits();
        List<Problem> problemList=new ArrayList<>();
        Map<String,Object> data = new HashMap<>();

        for (SearchHit hit : hits) {
            problemList.add(JSON.parseObject(hit.getSourceAsString(),Problem.class));
            System.out.println(hit.getSourceAsString());
        }

        data.put("total",hits.getTotalHits());
        data.put("rows",problemList);
        return Result.success(data);
    }

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