Elasticsearch集成Sprinng Data
1. 概述
Spring Data是一个用于简化数据库、非关系型数据库、索引库访问,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(Elasticsearch…)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 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索引库数据访问层。
2. 代码示例
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pom文件
<?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> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.3.6.RELEASE</version> <relativePath/> </parent> <groupId>com.lun</groupId> <artifactId>SpringDataWithES</artifactId> <version>1.0.0-SNAPSHOT</version> <properties> <maven.compiler.source>8</maven.compiler.source> <maven.compiler.target>8</maven.compiler.target> </properties> <dependencies> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-elasticsearch</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-devtools</artifactId> <scope>runtime</scope> <optional>true</optional> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-test</artifactId> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-test</artifactId> </dependency> </dependencies> </project>
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在 resources 目录中增加application.properties文件
# es 服务地址
elasticsearch.host=127.0.0.1
# es 服务端口
elasticsearch.port=9200
# 配置日志级别,开启 debug 日志
logging.level.com.atguigu.es=debug
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数据实体类
import lombok.AllArgsConstructor; import lombok.Data; import lombok.NoArgsConstructor; import lombok.ToString; 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; @Data @NoArgsConstructor @AllArgsConstructor @ToString @Document(indexName = "shopping", shards = 3, replicas = 1) public class Product { //必须有 id,这里的 id 是全局唯一的标识,等同于 es 中的"_id" @Id private Long id;//商品唯一标识 /** * type : 字段数据类型 * analyzer : 分词器类型 * index : 是否索引(默认:true) * Keyword : 短语,不进行分词 */ @Field(type = FieldType.Text, analyzer = "ik_max_word") private String title;//商品名称 @Field(type = FieldType.Keyword) private String category;//分类名称 @Field(type = FieldType.Double) private Double price;//商品价格 @Field(type = FieldType.Keyword, index = false) private String images;//图片地址 }
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配置类
ElasticsearchRestTemplate是spring-data-elasticsearch项目中的一个类,和其他spring项目中的 template类似。
在新版的spring-data-elasticsearch 中,ElasticsearchRestTemplate 代替了原来的ElasticsearchTemplate。
原因是ElasticsearchTemplate基于TransportClient,TransportClient即将在8.x 以后的版本中移除。所以,我们推荐使用ElasticsearchRestTemplate。
ElasticsearchRestTemplate基于RestHighLevelClient客户端的。需要自定义配置类,继承AbstractElasticsearchConfiguration,并实现elasticsearchClient()抽象方法,创建RestHighLevelClient对象。
AbstractElasticsearchConfiguration源码:
package org.springframework.data.elasticsearch.config; import org.elasticsearch.client.RestHighLevelClient; import org.springframework.context.annotation.Bean; import org.springframework.data.elasticsearch.core.ElasticsearchOperations; import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate; import org.springframework.data.elasticsearch.core.convert.ElasticsearchConverter; /** * @author Christoph Strobl * @author Peter-Josef Meisch * @since 3.2 * @see ElasticsearchConfigurationSupport */ public abstract class AbstractElasticsearchConfiguration extends ElasticsearchConfigurationSupport { //需重写本方法 public abstract RestHighLevelClient elasticsearchClient(); @Bean(name = { "elasticsearchOperations", "elasticsearchTemplate" }) public ElasticsearchOperations elasticsearchOperations(ElasticsearchConverter elasticsearchConverter) { return new ElasticsearchRestTemplate(elasticsearchClient(), elasticsearchConverter); } }
需要自定义配置类,继承AbstractElasticsearchConfiguration,并实现elasticsearchClient()抽象方法,创建RestHighLevelClient对象。
import lombok.Data; import org.apache.http.HttpHost; import org.elasticsearch.client.RestClient; import org.elasticsearch.client.RestClientBuilder; import org.elasticsearch.client.RestHighLevelClient; import org.springframework.boot.context.properties.ConfigurationProperties; import org.springframework.context.annotation.Configuration; import org.springframework.data.elasticsearch.config.AbstractElasticsearchConfiguration; @ConfigurationProperties(prefix = "elasticsearch") @Configuration @Data public class ElasticsearchConfig extends AbstractElasticsearchConfiguration{ private String host ; private Integer port ; //重写父类方法 @Override public RestHighLevelClient elasticsearchClient() { RestClientBuilder builder = RestClient.builder(new HttpHost(host, port)); RestHighLevelClient restHighLevelClient = new RestHighLevelClient(builder); return restHighLevelClient; } }
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DAO 数据访问对象
import com.lun.model.Product; import org.springframework.data.elasticsearch.repository.ElasticsearchRepository; import org.springframework.stereotype.Repository; @Repository public interface ProductDao extends ElasticsearchRepository<Product, Long>{ }
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索引操作
import com.lun.model.Product; import org.junit.Test; import org.junit.runner.RunWith; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.test.context.SpringBootTest; import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate; import org.springframework.test.context.junit4.SpringRunner; @RunWith(SpringRunner.class) @SpringBootTest public class SpringDataESIndexTest { //注入 ElasticsearchRestTemplate @Autowired private ElasticsearchRestTemplate elasticsearchRestTemplate; //创建索引并增加映射配置 @Test public void createIndex(){ //创建索引,系统初始化会自动创建索引 System.out.println("创建索引"); } @Test public void deleteIndex(){ //创建索引,系统初始化会自动创建索引 boolean flg = elasticsearchRestTemplate.deleteIndex(Product.class); System.out.println("删除索引 = " + flg); } }
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文档操作
import com.lun.dao.ProductDao; import com.lun.model.Product; import org.junit.Test; import org.junit.runner.RunWith; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.test.context.SpringBootTest; import org.springframework.data.domain.Page; import org.springframework.data.domain.PageRequest; import org.springframework.data.domain.Sort; import org.springframework.test.context.junit4.SpringRunner; import java.util.ArrayList; import java.util.List; @RunWith(SpringRunner.class) @SpringBootTest public class SpringDataESProductDaoTest { @Autowired private ProductDao productDao; /** * 新增 */ @Test public void save(){ Product product = new Product(); product.setId(2L); product.setTitle("华为手机"); product.setCategory("手机"); product.setPrice(2999.0); product.setImages("http://www.atguigu/hw.jpg"); productDao.save(product); } //POSTMAN, GET http://localhost:9200/product/_doc/2 //修改 @Test public void update(){ Product product = new Product(); product.setId(2L); product.setTitle("小米 2 手机"); product.setCategory("手机"); product.setPrice(9999.0); product.setImages("http://www.atguigu/xm.jpg"); productDao.save(product); } //POSTMAN, GET http://localhost:9200/product/_doc/2 //根据 id 查询 @Test public void findById(){ Product product = productDao.findById(2L).get(); System.out.println(product); } @Test public void findAll(){ Iterable<Product> products = productDao.findAll(); for (Product product : products) { System.out.println(product); } } //删除 @Test public void delete(){ Product product = new Product(); product.setId(2L); productDao.delete(product); } //POSTMAN, GET http://localhost:9200/product/_doc/2 //批量新增 @Test public void saveAll(){ List<Product> productList = new ArrayList<>(); for (int i = 0; i < 10; i++) { Product product = new Product(); product.setId(Long.valueOf(i)); product.setTitle("["+i+"]小米手机"); product.setCategory("手机"); product.setPrice(1999.0 + i); product.setImages("http://www.atguigu/xm.jpg"); productList.add(product); } productDao.saveAll(productList); } //分页查询 @Test public void findByPageable(){ //设置排序(排序方式,正序还是倒序,排序的 id) Sort sort = Sort.by(Sort.Direction.DESC,"id"); int currentPage=0;//当前页,第一页从 0 开始, 1 表示第二页 int pageSize = 5;//每页显示多少条 //设置查询分页 PageRequest pageRequest = PageRequest.of(currentPage, pageSize,sort); //分页查询 Page<Product> productPage = productDao.findAll(pageRequest); for (Product Product : productPage.getContent()) { System.out.println(Product); } } }
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文档搜索
import com.lun.dao.ProductDao; import com.lun.model.Product; import org.elasticsearch.index.query.QueryBuilders; import org.elasticsearch.index.query.TermQueryBuilder; import org.junit.Test; import org.junit.runner.RunWith; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.test.context.SpringBootTest; import org.springframework.data.domain.PageRequest; import org.springframework.test.context.junit4.SpringRunner; @RunWith(SpringRunner.class) @SpringBootTest public class SpringDataESSearchTest { @Autowired private ProductDao productDao; /** * term 查询 * search(termQueryBuilder) 调用搜索方法,参数查询构建器对象 */ @Test public void termQuery(){ TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("title", "小米"); Iterable<Product> products = productDao.search(termQueryBuilder); for (Product product : products) { System.out.println(product); } } /** * term 查询加分页 */ @Test public void termQueryByPage(){ int currentPage= 0 ; int pageSize = 5; //设置查询分页 PageRequest pageRequest = PageRequest.of(currentPage, pageSize); TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("title", "小米"); Iterable<Product> products = productDao.search(termQueryBuilder,pageRequest); for (Product product : products) { System.out.println(product); } } }