目录

  • 1. Spring Data ElasticSearch简介
  • （1）什么是Spring Data
  • （2）什么是Spring Data ElasticSearch
  • 2. Spring Data ElasticSearch常用操作
  • （1）整体步骤
  • （2）具体实现
  • ① 导入es相关jar包
  • ② es相关配置
  • ③ 创建实体
  • ④ 自定义接口
  • ⑤ 测试方法


1. Spring Data ElasticSearch简介

（1）什么是Spring Data

定义

目的

功能

Spring Data是一个用于简化数据库访问，并支持云服务的开源框架。

使得对数据的访问变得方便快捷，并支持map-reduce框架和云计算数据服务

极大的简化JPA的写法，可以在几乎不用写实现 的情况下，实现对数据的访问和操作。除了CRUD外，还包括如分页、排序等一些常用的功能。

Spring Data官网

（2）什么是Spring Data ElasticSearch

Spring Data ElasticSearch 基于 spring data API 简化 elasticSearch操作，将原始操作elasticSearch的客户端API 进行封装 。Spring Data为Elasticsearch项目提供集成搜索引擎。Spring Data Elasticsearch POJO的关键功能区域 为中心的模型与Elastichsearch交互文档和轻松地编写一个存储库数据访问层。Spring Data ElasticSearch官网

2. Spring Data ElasticSearch常用操作

（1）整体步骤

spring写入es集群_elasticsearch

（2）具体实现

① 导入es相关jar包

<properties>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.elasticsearch</groupId>
            <artifactId>elasticsearch</artifactId>
            <version>5.6.8</version>
        </dependency>
        <dependency>
            <groupId>org.elasticsearch.client</groupId>
            <artifactId>transport</artifactId>
            <version>5.6.8</version>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-to-slf4j</artifactId>
            <version>2.9.1</version>
        </dependency>
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-api</artifactId>
            <version>1.7.24</version>
        </dependency>
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-simple</artifactId>
            <version>1.7.21</version>
        </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.12</version>
        </dependency>
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.12</version>
        </dependency>


        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-core</artifactId>
            <version>2.8.1</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-databind</artifactId>
            <version>2.8.1</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-annotations</artifactId>
            <version>2.8.1</version>
        </dependency>


        <dependency>
            <groupId>org.springframework.data</groupId>
            <artifactId>spring-data-elasticsearch</artifactId>
            <version>3.0.5.RELEASE</version>
            <exclusions>
                <exclusion>
                    <groupId>org.elasticsearch.plugin</groupId>
                    <artifactId>transport-netty4-client</artifactId>
                </exclusion>
            </exclusions>
        </dependency>

        <dependency>
            <groupId>org.springframework</groupId>
            <artifactId>spring-test</artifactId>
            <version>5.0.4.RELEASE</version>
        </dependency>

    </dependencies>

</project>

② es相关配置

applicationContext.xml

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xmlns:context="http://www.springframework.org/schema/context"
       xmlns:elasticsearch="http://www.springframework.org/schema/data/elasticsearch"
       xsi:schemaLocation="
		http://www.springframework.org/schema/beans
		http://www.springframework.org/schema/beans/spring-beans.xsd
		http://www.springframework.org/schema/context
		http://www.springframework.org/schema/context/spring-context.xsd
		http://www.springframework.org/schema/data/elasticsearch
		http://www.springframework.org/schema/data/elasticsearch/spring-elasticsearch-1.0.xsd
		">
    <!--elastic客户端对象的配置-->
      <elasticsearch:transport-client id="esClient" cluster-name="my-elasticsearch"
                      cluster-nodes="127.0.0.1:9301,127.0.0.1:9302,127.0.0.1:9303"/>
    <!--配置包扫描器，扫描dao接口-->
    <elasticsearch:repositories base-package="com.dynamic.es.repositories"/>
    <!--es的模板对象-->
    <bean id="elasticsearchTemplate" 
    	 class="org.springframework.data.elasticsearch.core.ElasticsearchTemplate">
    	<constructor-arg name="client" ref="esClient"/>
    </bean>
</beans>

③ 创建实体

Article.java

//indexName ：创建的索引的名称，type ：索引的类型
@Document(indexName = "spes",type ="article")
public class Article {
    //主键的唯一标识
    @Id
    // type: 数据类型  store：是否存储 (index：是否设置分词 analyzer：存储时使用的分词器 searchAnalyze：搜索时使用的分词器)
    @Field(type = FieldType.Long,store = true)
    private long id;

    @Field(type = FieldType.text,store = true,analyzer = "ik_smart")
    private String title;

    @Field(type = FieldType.text,store = true,analyzer = "ik_smart")
    private String content;
    
	//此处省略get和set方法和序列化
}

④ 自定义接口

ArticleRepository.java

public interface ArticleRepository extends ElasticsearchRepository<Article,Long> {
    //根据标题查询
    List<Article> findByTitle(String title);
    //根据标题/内容查询
    List<Article> findByTitleOrContent(String title, String content);
    //根据标题/内容查询（含分页）
    List<Article> findByTitleOrContent(String title, String content, Pageable pageable);
}

⑤ 测试方法

SpringDataElasticSearchText .java

@RunWith(SpringJUnit4ClassRunner.class)
@ContextConfiguration("classpath:applicationContext.xml")
public class SpringDataElasticSearchText {

    @Autowired
    private ArticleRepository articleRepository;

    @Autowired
    private ElasticsearchTemplate template;

    //创建索引
    @Test
    public void createIndex() throws Exception{
//      创建索引，并配置映射关系
        template.createIndex(Article.class);
    }
    //==========================增==========================
    //把文档内容写入索引库
    @Test
    public void addDocument() throws Exception {
        for (int i = 10; i <= 20; i++) {
//        创建一个Article对象
            Article article = new Article();
            article.setId(i);
            article.setTitle("涂山红红"+i);
            article.setContent("涂山红红"+i);
//        把文档内容写入索引库
            articleRepository.save(article);
        }

    }
    //==========================删==========================
    //根据Id删除某条数据
    @Test
    public void deleteDocumentById() throws Exception{
        articleRepository.deleteById(2l);
    }
    //==========================查（调用自定义的接口）==========================

    //根据标题查询某条数据
    @Test
    public void testFindByTitle() throws Exception{
        List<Article> list = articleRepository.findByTitle("涂山红红");
        list.stream().forEach(a-> System.out.println(a));
    }

    //根据标题/内容查询某条数据（含分页）
    @Test
    public void testFindByTitleOrContext() throws Exception{
        PageRequest pageable = PageRequest.of(0,15);
        articleRepository.findByTitleOrContent("斗罗大陆","涂山红红",pageable)
                .forEach(a-> System.out.println(a));
    }

    //==========================查（调用封装的方法）==========================
    //查询所有内容
    @Test
    public void findAll() throws Exception{
        Iterable<Article> articles = articleRepository.findAll();
        articles.forEach(a-> System.out.println(a));
    }

    //根据id查询某条数据
    @Test
    public void testFindById() throws Exception{
        Optional<Article> optional = articleRepository.findById(1l);
        Article article = optional.get();
        System.out.println(article);
    }
    //自定义查询
    @Test
    public void testNativeSearchQuery() throws  Exception {
//        创建一个查询对象
        NativeSearchQuery query = new NativeSearchQueryBuilder()
                .withQuery(QueryBuilders.queryStringQuery("斗罗大陆赶紧更新吧").defaultField("title"))
                .withPageable(PageRequest.of(0,15))
                .build();
//        执行查询
        List<Article> articleList = template.queryForList(query, Article.class);
        articleList.forEach(a-> System.out.println(a));
    }

}