首先安装 Elasticsearch和Kibana

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导入相关maven依赖

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

yml中配置相关参数

java">spring:
  data:
    elasticsearch:
      cluster-name: elasticsearch
      cluster-nodes: 127.0.0.1:9300 #9200是图形界面端,9300代码端

创建文档对象

该文档对象可用来做如下几个事情

• 索引库的创建
• 文档的映射
• 存储到ES的数据封装

java">/**
 * 针对于student表的文档映射
 * indexName：索引库
 * type：类型(表类型)
 */
@Document(indexName = "stu" , type = "student")
public class StudentDoc {

    //对应文档的id  PUT  /index/type/id
    @Id
    private Long id;

    //指定为 不分词
    @Field(type = FieldType.Keyword)    
    private String userName;

    private int age;

    //指定为 分词
    @Field(type =FieldType.Text,analyzer = "ik_max_word",searchAnalyzer = "ik_max_word")
    private String intro;
   

初始化索引库和文档映射

java">@RunWith(SpringRunner.class)
@SpringBootTest(classes = EsServiceApplication.class)
public class ElasticsearchTest {

    @Autowired
    private ElasticsearchTemplate elasticsearchTemplate;

    @Test
    public void testCreateIndex() {
        //创建索引
        elasticsearchTemplate.createIndex(StudentDoc.class);
        //做文档映射
        elasticsearchTemplate.putMapping(StudentDoc.class);
    }
}

到此为止基础的集成就已经完成,可以通过Kibana测试索引是否创建成功。