elasticsearch学习二

第二章Spring Data ElasticSearch

1.Spring Data ElasticSearch简介

1.1什么是Spring Data

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。其主要目标是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。 Spring Data可以极大的简化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的官网：http://projects.spring.io/spring-data/

Spring Data常用的功能模块如下：

1552828591302

1552828597851

1.2什么是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。
官方网站：http://projects.spring.io/spring-data-elasticsearch/

2.Spring Data ElasticSearch入门

2.1需求

需求: 保存Article

步骤:

创建Maven工程(jar),在pom文件导入坐标
创建pojo, 添加注解
创建Dao接口继承ElasticsearchRepository
创建配置文件进行配置
测试

2.2代码实现

创建Maven工程(jar),导入坐标

    <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>org.springframework</groupId>
            <artifactId>spring-test</artifactId>
            <version>5.0.8.RELEASE</version>
        </dependency>
        <dependency>
            <groupId>org.springframework.data</groupId>
            <artifactId>spring-data-elasticsearch</artifactId>
            <version>3.0.7.RELEASE</version>
        </dependency>
    </dependencies>

创建pojo, 添加注解

/**
 * @Document：放置到类上
 *    indexName = "blog1"：表示索引的名称，（小写）
 *    type = "article"：表示类型
 * @Id：放置到字段id上
 *    表示该字段的值存放到索引库的_id字段上，表示主键
 * @Field：放置到字段上
 *    store = true：表示该字段的值存储到索引库
 *    index = true：表示该字段的值要建立索引用于搜索
 *    analyzer = "ik_smart"：建立索引的时候使用什么分词器
 *    searchAnalyzer = "ik_smart"：数据搜索的时候使用什么分词器（可以不写）
 *    type = FieldType.Text：存放字段的数据类型
 */
@Document(indexName = "blog03",type = "article")
public class Article implements Serializable {

    @Id
    private Long id;

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

    @Field(index = true,searchAnalyzer = "ik_smart",analyzer = "ik_smart",store = true,type = FieldType.Text)
    private String content;

    public Article() {
    }
    public Article(long id, String title, String content) {
        this.id = id;
        this.title = title;
        this.content = content;
    }


    public Long getId() {
        return id;
    }

    public void setId(Long id) {
        this.id = id;
    }

    public String getTitle() {
        return title;
    }

    public void setTitle(String title) {
        this.title = title;
    }

    public String getContent() {
        return content;
    }

    public void setContent(String content) {
        this.content = content;
    }

    @Override
    public String toString() {
        return "Article{" +
                "id=" + id +
                ", title='" + title + '\'' +
                ", content='" + content + '\'' +
                '}';
    }
}

创建Dao接口继承ElasticsearchRepository

public interface ArticleDao  extends ElasticsearchRepository<Article,Long>{

}

创建配置文件进行配置

<?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:elasticsearch="http://www.springframework.org/schema/data/elasticsearch"
       xmlns:context="http://www.springframework.org/schema/context"
       xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/data/elasticsearch http://www.springframework.org/schema/data/elasticsearch/spring-elasticsearch.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd">

    <context:component-scan base-package="com.itheima"></context:component-scan>

    <!-- 1：扫描Dao包，自动创建实例，扫描所有继承ElasticsearchRepository接口的接口 -->
    <elasticsearch:repositories base-package="com.itheima.dao"></elasticsearch:repositories>
    <!--2.配置elasticSearch的连接-->
    <elasticsearch:transport-client id="client" cluster-nodes="127.0.0.1:9300" cluster-name="elasticsearch"></elasticsearch:transport-client>
    <!--3.注册模版-->
    <bean id="elasticsearchTemplate" class="org.springframework.data.elasticsearch.core.ElasticsearchTemplate">
        <constructor-arg name="client" ref="client"></constructor-arg>
    </bean>
</beans>

测试

@RunWith(value = SpringJUnit4ClassRunner.class)
@ContextConfiguration(locations = "classpath:applicationContext.xml")
public class EsTest {

    @Autowired
    private ElasticsearchTemplate elasticsearchTemplate;

    @Autowired
    private ArticleDao articleDao;

    @Test
    //创建索引和映射
    public void fun01(){
        elasticsearchTemplate.createIndex(Article.class);
        elasticsearchTemplate.putMapping(Article.class);
    }

    @Test
    //保存文章
    public void fun02(){
        Article article = new Article(1, "测试title", "测试内容");
        articleDao.save(article);
    }

}

3.Spring Data ElasticSearch常见操作

3.1CRUD

新增,

@Test
//保存文章
public void fun02(){
  Article article = new Article(1, "测试title", "测试内容");
  articleDao.save(article);
}

删除

@Test
//删除
public void fun03(){
    articleDao.deleteById(4L);
}

更新; 没有id对应的数据,就是新增; 有当前id对应的数据,就是更新

    @Test
    //修改
    public void fun04(){
        Article article = new Article(4, "测试标题4", "测试内容4");
        articleDao.save(article);
    }

根据id查询

    @Test
    //根据id查询
    public void fun05(){
        Article article = articleDao.findById(1L).get();
        System.out.println(article);
    }

查询所有

    @Test
    //根据所有
    public void fun06(){
        Iterable<Article> iterable = articleDao.findAll();
        for (Article article : iterable) {
            System.out.println(article);
        }
    }

排序查询

    @Test
    //排序
    public void fun07(){
        Iterable<Article> iterable = articleDao.findAll( Sort.by(Sort.Order.asc("id")));
        for (Article article : iterable) {
            System.out.println(article);
        }
    }

分页查询

    @Test
    //分页查询
    public void fun08(){
        Pageable pageable = PageRequest.of(0,2);
        Page<Article> page = articleDao.findAll(pageable);
        System.out.println("总数量="+page.getTotalPages());
        System.out.println("结果="+page.getContent());
    }

3.2自定义查询

常用查询命名规则

关键字	命名规则	解释	示例
and	findByField1AndField2	根据Field1和Field2获得数据	findByTitleAndContent
or	findByField1OrField2	根据Field1或Field2获得数据	findByTitleOrContent
is	findByField	根据Field获得数据	findByTitle
not	findByFieldNot	根据Field获得补集数据	findByTitleNot
between	findByFieldBetween	获得指定范围的数据	findByPriceBetween
lessThanEqual	findByFieldLessThan	获得小于等于指定值的数据	findByPriceLessThan

测试

public interface ArticleDao  extends ElasticsearchRepository<Article,Long>{

    //根据title模糊查询
    List<Article> findByTitleLike(String title);

    //根据title模糊查询,根据id降序
    List<Article> findByTitleLikeOrderByIdAsc(String title);

    //模块查询,排序加分页
    Page<Article> findByTitleLikeOrderByIdAsc(String title,Pageable pageable);

}

posted @ 2020-04-02 23:39 自然的风和雨阅读(119) 评论(0) 编辑收藏举报

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