Spring Data ElasticSearch 的入门使用

最新推荐文章于 2025-06-22 00:47:57 发布

原创最新推荐文章于 2025-06-22 00:47:57 发布 · 382 阅读

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1、基于 maven 导入坐标

主要是elasticSearch开发包,Spring-elasticSearch整合包,两个测试包和一个日志包

<dependency>
       <groupId>org.elasticsearch</groupId>
       <artifactId>elasticsearch</artifactId>
       <version>2.4.0</version>
</dependency>

<dependency>
    <groupId>
           org.springframework.data
   </groupId>
   <artifactId>
           spring-data-elasticsearch
   </artifactId>
       <version>2.0.4.RELEASE</version>
</dependency>

<dependency>
       <groupId>
           org.springframework
       </groupId>
       <artifactId>spring-test</artifactId>
       <version>4.2.8.RELEASE</version>
</dependency>

<dependency>
       <groupId>junit</groupId>
       <artifactId>junit</artifactId>
       <version>4.12</version>
</dependency>

2、配置applicationContext.xml

1、引入 spring data elasticsearch 名称空间
xmlns:elasticsearch="http://www.springframework.org/schema/data/elasticsearch"
约束文档
http://www.springframework.org/schema/data/elasticsearch
http://www.springframework.org/schema/data/elasticsearch/spring-elasticsearch-1.0.xsd

2、扫描DAO包自动创建实现
<elasticsearch:repositories base-package="com.alibaba.test.dao" />

3、配置elasticsearch 连接,(搜索服务服务器对象)
<elasticsearch:transport-client id="client" cluster-nodes="localhost:9300" />

4、spring data elasticsearch DAO 必须依赖spring提供的elasticsearchTemplate模板
    <bean id="elasticsearchTemplate"
        class="org.springframework.data.elasticsearch.core.ElasticsearchTemplate">
        <constructor-arg name="client" ref="client" />
    </bean>
注意id的名称必须是：elasticsearchTemplate,否则elasticsearch的Dao层找不到

3、编写 DAO接口继承 ElasticsearchRepository 接口

//和spring-data-jpa类似,封装了众多对索引库进行操作的方法,使用方法也与jpa类似

public interface ArticleRepository extends ElasticsearchRepository<Article, Integer> {}

4、实体类的配置实例

基于 spring data elasticsearch 注解创建索引和映射

@Document(indexName = "blog", type = "article")
public class Article {
   @Id
   @Field(index = FieldIndex.not_analyzed, store = true, type = FieldType.Integer)
   private Integer id;
   @Field(index = FieldIndex.analyzed, analyzer = "ik", store = true, searchAnalyzer = "ik", type = FieldType.String)
   private String title;
   @Field(index = FieldIndex.analyzed, analyzer = "ik", store = true, searchAnalyzer = "ik", type = FieldType.String)
   private String content;
}

@Document 文档对象（索引信息、文档类型）
@Id 文档主键唯一标识(需要和hibernate的主键id区分开来,二者是不同的存在)
@Field 每个文档的字段配置（类型、是否分词、是否存储、分词器）