Spring-Data-Elasticsearch

简介

Spring Data for Elasticsearch 是 Spring Data 项目的一部分，该项目旨在为新数据存储提供熟悉且一致的基于 Spring 的编程模型，同时保留特定于存储的特性和功能。

Spring Data Elasticsearch 项目提供了与 Elasticsearch 搜索引擎的集成。Spring Data Elasticsearch 的关键功能领域是以 POJO 为中心的模型，用于与 Elastichsearch 文档交互并轻松编写存储库样式的数据访问层。

简单使用

1.创建SpringBoot项目，导入Spring Data Elasticsearch的起步依赖。

/*elasticsearch的起步依赖*/ 
<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>/*lomobok起步依赖*/<dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><optional>true</optional>
</dependency>

2.编写配置文件，连接ElasticSearch

spring:elasticsearch:uris: https://192.168.66.101:9200username: elasticpassword: 12345678

 打印日志 

logging: pattern: console: '%d{HH:mm:ss.SSS} %clr(%-5level) --- [%-15thread] %cyan(%-50logger{50}):%msg%n'

3.创建配置类跳过SSL证书检查 

@Component
public class RestClientBuilderCustomizerImpl implements RestClientBuilderCustomizer {@Overridepublic void customize(RestClientBuilder builder) {}/*** 跳过SSL的证书检查*/@Overridepublic void customize(HttpAsyncClientBuilder builder) {SSLContextBuilder sscb = SSLContexts.custom();try {sscb.loadTrustMaterial((chain, authType) -> {return true;});} catch (NoSuchAlgorithmException e) {throw new RuntimeException(e);} catch (KeyStoreException e) {throw new RuntimeException(e);}try {builder.setSSLContext(sscb.build());} catch (KeyManagementException | NoSuchAlgorithmException e) {e.printStackTrace();}}
}

 4.创建实体类

@Document(indexName = "product",createIndex = true)  //关联名为product的索引
@Data
@AllArgsConstructor
public class Product {@Id //标记在成员变量上，标记一个字段为主键，该字段的值会同步到ES该文档的id值//标记在成员变量上，标记为文档中的域，一般有如下属性->// type域的类型,index是否创建索引,store是否单独存储,analyzer分词器,searchAnalyzer搜索分词器@Field(type = FieldType.Integer,store = true,index = true)private Integer id;@Field(type = FieldType.Text,store = true,index = true,analyzer = "ik_max_word",searchAnalyzer = "ik_max_word")private String productName;@Field(type = FieldType.Text,store = true,index = true,analyzer = "ik_max_word",searchAnalyzer = "ik_max_word")private String productDesc;
}

 5.创建Repository接口

@Repository
public interface ProductRepository extends ElasticsearchRepository<Product,Integer> {
}

6.测试Repository接口

6.1测试保存和修改方法

@SpringBootTest
public class ProductRepositoryTest {@Autowiredprivate ProductRepository repository;//保存文档public void addProduct(){Product product = new Product(1, "今天是第一天", "第一天plus");repository.save(product);}//修改方法(当该文档已经存在，即对其进行修改)public void addProduct(){Product product = new Product(1, "今天是第first天", "第first天plus");repository.save(product);}
}

6.2查找文档方法

6.2.1根据id进行查询

@Testpublic void findById(){Optional<Product> byId = repository.findById(1);System.out.println(byId.get());}

6.2.2查询所有文档

@Testpublic void findAll(){repository.findAll().forEach(System.out::println);}

6.3测试删除方法

//根据其主键id进行删除
@Testpublic void deleteById(){repository.deleteById(1);}

7.使用DSL语句查询文档

 在Repository接口层编写方法

7.1 匹配查询

@Repository
public interface ProductRepository extends ElasticsearchRepository<Product,Integer> {//匹配查询@Query("{\n" +"    \"match\": {\n" +"      \"productDesc\": \"?0\"\n" +"    }\n" +"  }")List<Product> findByProductDescMatch(String keyword);
}

7.2模糊查询

@Repository
public interface ProductRepository extends ElasticsearchRepository<Product,Integer> {@Query(" {\n" +"    \"match\": {\n" +"      \"productDesc\":{\n" +"        \"query\": \"\\?0\",\n" +"        \"fuzziness\": 1\n" +"      }\n" +"    }\n" +"  }")List<Product> findByProductDescFuzzy(String keyword);
}

8.按照规则命名方法查询文档

8.1单条件查询

@Repository
public interface ProductRepository extends ElasticsearchRepository<Product,Integer> {//根据规则进行查询-通过productNameList<Product> findByProductName(String productName);
}

@Testpublic void testFindByProductName(){List<Product> byProductName = repository.findByProductName("iphone");byProductName.forEach(System.out::println);}

@Repository
public interface ProductRepository extends ElasticsearchRepository<Product,Integer> {
//测试按照规则命名使用    Or 查询
List<Product> findByProductNameOrProductDesc(String productName,String productDesc);
}

@Testpublic void testFindByProductNameOrProductDesc(){repository.findByProductNameOrProductDesc("iphone","三体").forEach(System.out::println);}

@Repository
public interface ProductRepository extends ElasticsearchRepository<Product,Integer> {//测试使用命名规则进行  范围查询
List<Product> findByIdBetween(Integer start,Integer end);
}

@Testpublic void testFindByProductIdBetween(){repository.findByIdBetween(1,3).forEach(System.out::println);}

@Testpublic void testFindPage(){//参数1：当前页，从0开始,参数2：每页显示多少条Pageable pageable = PageRequest.of(0,3);Page<Product> all = repository.findAll(pageable);System.out.println("总条数："+all.getTotalElements());System.out.println("总页数："+all.getTotalPages());System.out.println("数据："+all.getContent());}

 @Testpublic void testFindPage2(){//既分页，又排序Sort sort = Sort.by(Sort.Direction.DESC, "id");Pageable pageable = PageRequest.of(0,3,sort);Page<Product> all = repository.findByProductDescMatch("体",pageable);System.out.println("总条数："+all.getTotalElements());System.out.println("总页数："+all.getTotalPages());System.out.println("数据："+all.getContent());}