首先看要实现的功能，如下图：

<1>  支持模糊查询
<2> 支持查询匹配的关键字高亮显示
<3> 支持点赞功能，即修改文档
<4> 支持查询结果分页
<5> 支持指定字段精确匹配；支持日期和数值类的范围查询

下面用ElasticSearch(以下简称ES)一一实现上述功能。

准备工作一、搭建ElasticSearch Windows测试环境

下载

因SpringBoot的starter还不支持最新版的ES，这里使用6.5.4版本

https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-6.5.4.zip

下载后解压缩，并执行bin/elasticsearch.bat即可启动ES

用浏览器打开 http://localhost:9200/ 如无意外，可看到类似以下信息

{
  "name" : "sRdVRrd",
  "cluster_name" : "elasticsearch",
  "cluster_uuid" : "HRu5vExrQo6L_OkTtCb8eQ",
  "version" : {
    "number" : "6.5.4",
    "build_flavor" : "default",
    "build_type" : "zip",
    "build_hash" : "d2ef93d",
    "build_date" : "2018-12-17T21:17:40.758843Z",
    "build_snapshot" : false,
    "lucene_version" : "7.5.0",
    "minimum_wire_compatibility_version" : "5.6.0",
    "minimum_index_compatibility_version" : "5.0.0"
  },
  "tagline" : "You Know, for Search"
}

 准备工作二、创建一个SpringBoot Web应用

依赖

<dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
            <exclusions>
                <exclusion>
                    <groupId>org.springframework.boot</groupId>
                    <artifactId>spring-boot-starter-logging</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-log4j2</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-thymeleaf</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
        </dependency>
        <!-- https://mvnrepository.com/artifact/com.querydsl/querydsl-core -->
        <dependency>
            <groupId>com.querydsl</groupId>
            <artifactId>querydsl-core</artifactId>
            <version>4.2.1</version>
        </dependency>

        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.58</version>
        </dependency>
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-lang3</artifactId>
            <version>3.1</version>
            <optional>true</optional>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
    </dependencies>

application.yml

spring:
  data:
    elasticsearch:
      cluster-name: elasticsearch
      cluster-nodes: 127.0.0.1:9300
      repositories:
        enabled: true
  thymeleaf:
    prefix: classpath:/templates/
    suffix: .html
    mode: HTML
    encoding: UTF-8
    cache: false

 接下来创建一个用于保存和展示数据的JavaBean，本例中模拟Blog的形式，属性包括作者、内容、发布时间及点赞数，如下：

import java.util.Date;
import org.springframework.data.elasticsearch.annotations.Document;

@Document(indexName = "website", type = "blog")
public class Blog {

    private int id;
    private String author;
    private String text;
    private int likes;
    private Date date;

    public Blog() {
    }

    public Blog(int id, String author, String text, int likes, Date date) {
        this.id = id;
        this.author = author;
        this.text = text;
        this.likes = likes;
        this.date = date;
    }

    //getter/setter略

注意注解@Document是必须的。

测试：写入一条"Blog"并读取出来

    @Autowired
    private ElasticsearchTemplate elasticsearchTemplate;

    @Test
    public void contextLoads() {
        Blog blog1 = new Blog(1, "Mary Jones", "Jane is an expert in her field", 0, new Date());
        IndexQuery indexQuery = new IndexQueryBuilder().withObject(blog1).build();
        elasticsearchTemplate.index(indexQuery);

        GetQuery getQuery = new GetQuery();
        getQuery.setId("1");
        Blog blog2 = elasticsearchTemplate.queryForObject(getQuery, Blog.class);
        System.out.println(ToStringBuilder.reflectionToString(blog2));
    }