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:
Spring Data ElasticSearch使用_elasticsearchSpring Data ElasticSearch使用_spring_02

2. 什么是Spring Data ElasticSearch

Spring Data Elasticsearch是Spring Data项目下的一个子模块。

查看 Spring Data的官网:http://projects.spring.io/spring-data/
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

3. Spring Data ElasticSearch入门

1)导入Spring Data ElasticSearch坐标

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>

<groupId>com.itheima</groupId>
<artifactId>itheima_elasticsearch_demo3</artifactId>
<version>1.0-SNAPSHOT</version>


<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)创建applicationContext.xml配置文件,引入elasticsearch命名空间

<?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
">

</beans>

3)编写实体Article

package com.bruceliu.bean;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:32

* @Description:
*/
public class Article {

private Integer id;
private String title;
private String content;

public Integer getId() {
return id;
}
public void setId(Integer 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 + "]";
}


}

4)编写Dao

package com.bruceliu.dao;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:33

* @Description:
*/
import com.bruceliu.bean.Article;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
import org.springframework.stereotype.Repository;

@Repository
public interface ArticleRepository extends ElasticsearchRepository<Article, Integer> {

}

5)编写Service

package com.bruceliu.service;

import com.bruceliu.bean.Article;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:34

* @Description:
*/
public interface ArticleService {

public void save(Article article);
}
package com.bruceliu.service.impl;

import com.bruceliu.bean.Article;
import com.bruceliu.dao.ArticleRepository;
import com.bruceliu.service.ArticleService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:34

* @Description:
*/
@Service
public class ArticleServiceImpl implements ArticleService {

@Autowired
private ArticleRepository articleRepository;

public void save(Article article) {
articleRepository.save(article);
}

}

6) 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
">


<!-- 扫描Dao包,自动创建实例 -->
<elasticsearch:repositories base-package="com.bruceliu.dao"/>

<!-- 扫描Service包,创建Service的实体 -->
<context:component-scan base-package="com.bruceliu.service"/>

<!-- 配置elasticSearch的连接 -->
<!-- 配置elasticSearch的连接 -->
<elasticsearch:transport-client id="client" cluster-nodes="localhost:9300" cluster-name="my-elasticsearch"/>


<!-- ElasticSearch模版对象 -->
<bean id="elasticsearchTemplate" class="org.springframework.data.elasticsearch.core.ElasticsearchTemplate">
<constructor-arg name="client" ref="client"></constructor-arg>
</bean>


</beans>

7)配置实体
基于spring data elasticsearch注解配置索引、映射和实体的关系

package com.bruceliu.bean;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:32

* @Description:
*/
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;

//@Document 文档对象 (索引信息、文档类型 )
@Document(indexName="blog3",type="article")
public class Article {

//@Id 文档主键 唯一标识
@Id
//@Field 每个文档的字段配置(类型、是否分词、是否存储、分词器 )
@Field(store=true, index = false,type = FieldType.Integer)
private Integer id;

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

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

public Integer getId() {
return id;
}
public void setId(Integer 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 + "]";
}

}
其中,注解解释如下:
@Document(indexName="blob3",type="article"):
indexName:索引的名称(必填项)
type:索引的类型
@Id:主键的唯一标识
@Field(index=true,analyzer="ik_smart",store=true,searchAnalyzer="ik_smart",type = FieldType.text)
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
store:是否存储
type: 数据类型

8)创建测试类SpringDataESTest

package com.brueliu.test;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:37

* @Description:
*/

import com.bruceliu.bean.Article;
import com.bruceliu.service.ArticleService;
import org.elasticsearch.client.transport.TransportClient;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;
import org.springframework.test.context.ContextConfiguration;
import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;

import javax.annotation.Resource;

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

@Autowired
private ArticleService articleService;

@Resource
private TransportClient client;

@Autowired
private ElasticsearchTemplate elasticsearchTemplate;

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

/**
* 测试保存文档
*/
@Test
public void saveArticle() {
Article article = new Article();
article.setId(100);
article.setTitle("测试SpringData ElasticSearch");
article.setContent("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 \n" +
" Spring Data为Elasticsearch Elasticsearch项目提供集成搜索引擎");
articleService.save(article);
}
}

Spring Data ElasticSearch使用_spring_03

4.Spring Data ElasticSearch的常用操作

4.1.增删改查方法测试

package com.bruceliu.service;

import com.bruceliu.bean.Article;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;

import java.util.List;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:34

* @Description:
*/
public interface ArticleService {

//删除
public void delete(Article article);

//查询全部
public Iterable<Article> findAll();

//分页查询
public Page<Article> findAll(Pageable pageable);

}
package com.bruceliu.service.impl;

import com.bruceliu.bean.Article;
import com.bruceliu.dao.ArticleRepository;
import com.bruceliu.service.ArticleService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.stereotype.Service;

import java.util.List;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:34

* @Description:
*/
@Service
public class ArticleServiceImpl implements ArticleService {

@Autowired
private ArticleRepository articleRepository;


public void delete(Article article) {
articleRepository.delete(article);
}

public Iterable<Article> findAll() {
Iterable<Article> iter = articleRepository.findAll();
return iter;
}

public Page<Article> findAll(Pageable pageable) {
return articleRepository.findAll(pageable);
}


}
package com.brueliu.test;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:37

* @Description:
*/

import com.bruceliu.bean.Article;
import com.bruceliu.service.ArticleService;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.index.query.QueryBuilders;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Pageable;
import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.data.elasticsearch.core.query.SearchQuery;
import org.springframework.test.context.ContextConfiguration;
import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;

import javax.annotation.Resource;
import java.util.List;

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

@Autowired
private ArticleService articleService;

@Resource
private TransportClient client;

@Autowired
private ElasticsearchTemplate elasticsearchTemplate;

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

/**
* 测试保存文档
*/
@Test
public void saveArticle() {
Article article = new Article();
article.setId(100);
article.setTitle("测试SpringData ElasticSearch!");
article.setContent("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 \n" +
" Spring Data为Elasticsearch Elasticsearch项目提供集成搜索引擎");
articleService.save(article);
}

/**测试保存*/
@Test
public void save(){
Article article = new Article();
article.setId(1001);
article.setTitle("elasticSearch 3.0版本发布");
article.setContent("ElasticSearch是一个基于Lucene的搜索服务器。它提供了一个分布式多用户能力的全文搜索引擎,基于RESTful web接口");
articleService.save(article);
}

/**测试更新*/
@Test
public void update(){
Article article = new Article();
article.setId(1001);
article.setTitle("elasticSearch 3.0版本发布...更新");
article.setContent("ElasticSearch是一个基于Lucene的搜索服务器。它提供了一个分布式多用户能力的全文搜索引擎,基于RESTful web接口");
articleService.save(article);
}

/**测试删除*/
@Test
public void delete(){
Article article = new Article();
article.setId(1001);
articleService.delete(article);
}

/**批量插入*/
@Test
public void save100(){
for(int i=1;i<=10;i++){
Article article = new Article();
article.setId(i);
article.setTitle(i+"elasticSearch 3.0版本发布..,更新");
article.setContent(i+"ElasticSearch是一个基于Lucene的搜索服务器。它提供了一个分布式多用户能力的全文搜索引擎,基于RESTful web接口");
articleService.save(article);
}
}

/**分页查询*/
@Test
public void findAllPage(){
Pageable pageable = PageRequest.of(1,5);
Page<Article> page = articleService.findAll(pageable);
for(Article article:page.getContent()){
System.out.println(article);
}
}

4.2.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

4.2.1 查询方法测试

1)dao层实现

package com.bruceliu.dao;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:33
*
* @Description:
*/
import com.bruceliu.bean.Article;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
import org.springframework.stereotype.Repository;

import java.util.List;

@Repository
public interface ArticleRepository extends ElasticsearchRepository<Article, Integer> {

//根据标题查询
List<Article> findByTitle(String condition);

//根据标题查询(含分页)
Page<Article> findByTitle(String condition, Pageable pageable);
}

2)service层实现

package com.bruceliu.service;

import com.bruceliu.bean.Article;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;

import java.util.List;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:34

* @Description:
*/
public interface ArticleService {

//根据标题查询
List<Article> findByTitle(String condition);

//根据标题查询(含分页)
Page<Article> findByTitle(String condition, Pageable pageable);
}
package com.bruceliu.service.impl;

import com.bruceliu.bean.Article;
import com.bruceliu.dao.ArticleRepository;
import com.bruceliu.service.ArticleService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.stereotype.Service;

import java.util.List;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:34

* @Description:
*/
@Service
public class ArticleServiceImpl implements ArticleService {

@Autowired
private ArticleRepository articleRepository;

public List<Article> findByTitle(String condition) {
return articleRepository.findByTitle(condition);
}

public Page<Article> findByTitle(String condition, Pageable pageable) {
return articleRepository.findByTitle(condition,pageable);
}

}

3)测试代码

package com.brueliu.test;

/**
* @Auther: bruceliu
* @Date: 2019/12/4 16:37

* @Description:
*/

import com.bruceliu.bean.Article;
import com.bruceliu.service.ArticleService;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.index.query.QueryBuilders;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Pageable;
import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.data.elasticsearch.core.query.SearchQuery;
import org.springframework.test.context.ContextConfiguration;
import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;

import javax.annotation.Resource;
import java.util.List;

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

@Autowired
private ArticleService articleService;

@Resource
private TransportClient client;

@Autowired
private ElasticsearchTemplate elasticsearchTemplate;

/**条件查询*/
@Test
public void findByTitle(){
String condition = "版本";
List<Article> articleList = articleService.findByTitle(condition);
for(Article article:articleList){
System.out.println(article);
}
}

/**条件分页查询*/
@Test
public void findByTitlePage(){
String condition = "版本";
Pageable pageable = PageRequest.of(1,5);
Page<Article> page = articleService.findByTitle(condition,pageable);
for(Article article:page.getContent()){
System.out.println(article);
}
}

}

4.2.2.使用Elasticsearch的原生查询对象进行查询

@Test
public void findByNativeQuery() {
//创建一个SearchQuery对象
SearchQuery searchQuery = new NativeSearchQueryBuilder()
//设置查询条件,此处可以使用QueryBuilders创建多种查询
.withQuery(QueryBuilders.queryStringQuery("版本").defaultField("title"))
//还可以设置分页信息
.withPageable(PageRequest.of(1, 5))
//创建SearchQuery对象
.build();


//使用模板对象执行查询
List<Article> articles = elasticsearchTemplate.queryForList(searchQuery, Article.class);
for (Article article : articles) {
System.out.println(article);
}
}