Spring Boot 集成 Elasticsearch 实战

作者 | 废物大师兄

链接 | cnblogs.com/cjsblog/p/9756978.html

1. 前言

集成方式

Spring Boot中集成Elasticsearch有4种方式：

• REST Client

• Jest

• Spring Data

• Spring Data Elasticsearch Repositories

本文用后面两种方式来分别连接并操作Elasticsearch

环境与配置

服务端：elasticsearch-6.3.2 1台

客户端：elasticsearch 6.4.1

服务端配置文件：elasticsearch.yml

cluster.name: my-applicationnetwork.host: 192.168.1.134http.port: 9200

/etc/security/limits.conf

cheng soft nofile 65536cheng hard nofile 65536

/etc/sysctl.conf

vm.max_map_count=262144

版本

Spring Boot 2.0.5默认的elasticsearch版本很低，这里我们用最新版本6.4.1

如果启动过程中出现

java.lang.NoClassDefFoundError: org/elasticsearch/common/transport/InetSocketTransportAddress

则说明，elasticsearch依赖的jar包版本不一致，统一改成6.4.1即可

另外，Spring Boot 2.0.5依赖的spring-data-elasticsearch版本是3.0.1，需要升级到3.1.0

2. 依赖

<properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding> <java.version>1.8</java.version>
 <elasticsearch.version>6.4.1</elasticsearch.version> <spring.data.elasticsearch.version>3.1.0.RELEASE</spring.data.elasticsearch.version> </properties>
 <dependencies> <dependency> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> <version>${elasticsearch.version}</version> </dependency> <dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>transport</artifactId> <version>${elasticsearch.version}</version> </dependency> <dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>elasticsearch-rest-client</artifactId> <version>${elasticsearch.version}</version> </dependency> <dependency> <groupId>org.elasticsearch.plugin</groupId> <artifactId>transport-netty4-client</artifactId> <version>${elasticsearch.version}</version> </dependency> <dependency> <groupId>org.springframework.data</groupId> <artifactId>spring-data-elasticsearch</artifactId> <version>${spring.data.elasticsearch.version}</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-elasticsearch</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency>
 <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <optional>true</optional> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> </dependencies>

3. application.properties

spring.data.elasticsearch.cluster-name=my-applicationspring.data.elasticsearch.cluster-nodes=192.168.1.134:9300

也许，大家会疑惑，配置文件中明明写的端口是9200，为何这里配置文件中连接的时候写的端口是9300呢？

因为，配置9200是通过HTTP连接的端口，9300是TCP连接的端口

4. 操作

使用Spring Data Elasticsearch Repositories操作Elasticsearch

首先，定义一个实体类

@Data@Document(indexName = "commodity")public class Commodity implements Serializable {
 @Id private String skuId; private String name; private String category; private Integer price; private String brand; private Integer stock;}

这里定义了Commodity实例，表示商品。在Elasticsearch 6.X 版本中，不建议使用type，而且在7.X版本中将会彻底废弃type，所以此处我只指定了indexName，没有指定type。这里，一个Commodity代表一个商品，同时代表一条索引记录。

类比关系型数据库的话，Index相当于表，Document相当于记录

然后，需要自己定义一个接口，并继承ElasticsearchRepository

@Repositorypublic interface CommodityRepository extends ElasticsearchRepository<Commodity, String> {
}

这里的Repository相当于DAO，操作mysql还是elasticsearch都是一样的

接下来，定义service接口

public interface CommodityService { long count; Commodity save(Commodity commodity); void delete(Commodity commodity); Iterable<Commodity> getAll; List<Commodity> getByName(String name); Page<Commodity> pageQuery(Integer pageNo, Integer pageSize, String kw);}

实现类

@Servicepublic class CommodityServiceImpl implements CommodityService {
 @Autowired private CommodityRepository commodityRepository;
 @Override public long count { return commodityRepository.count; }
 @Override public Commodity save(Commodity commodity) { return commodityRepository.save(commodity); }
 @Override public void delete(Commodity commodity) { commodityRepository.delete(commodity); // commodityRepository.deleteById(commodity.getSkuId); }
 @Override public Iterable<Commodity> getAll { return commodityRepository.findAll; }
 @Override public List<Commodity> getByName(String name) { List<Commodity> list = new ArrayList<>; MatchQueryBuilder matchQueryBuilder = new MatchQueryBuilder("name", name); Iterable<Commodity> iterable = commodityRepository.search(matchQueryBuilder); iterable.forEach(e->list.add(e)); return list; }
 @Override public Page<Commodity> pageQuery(Integer pageNo, Integer pageSize, String kw) { SearchQuery searchQuery = new NativeSearchQueryBuilder .withQuery(QueryBuilders.matchPhraseQuery("name", kw)) .withPageable(PageRequest.of(pageNo, pageSize)) .build; return commodityRepository.search(searchQuery); }}

在这个Service中演示了增删查改操作，还有分页查询

最后，写一个测试类测试其中的方法：

@RunWith(SpringRunner.class)@SpringBootTestpublic class CjsElasticsearchExampleApplicationTests {
 @Autowired private CommodityService commodityService;
 @Test public void contextLoads { System.out.println(commodityService.count); }
 @Test public void testInsert { Commodity commodity = new Commodity; commodity.setSkuId("1501009001"); commodity.setName("原味切片面包（10片装）"); commodity.setCategory("101"); commodity.setPrice(880); commodity.setBrand("良品铺子"); commodityService.save(commodity);
 commodity = new Commodity; commodity.setSkuId("1501009002"); commodity.setName("原味切片面包（6片装）"); commodity.setCategory("101"); commodity.setPrice(680); commodity.setBrand("良品铺子"); commodityService.save(commodity);
 commodity = new Commodity; commodity.setSkuId("1501009004"); commodity.setName("元气吐司850g"); commodity.setCategory("101"); commodity.setPrice(120); commodity.setBrand("百草味"); commodityService.save(commodity);
 }
 @Test public void testDelete { Commodity commodity = new Commodity; commodity.setSkuId("1501009002"); commodityService.delete(commodity); }
 @Test public void testGetAll { Iterable<Commodity> iterable = commodityService.getAll; iterable.forEach(e->System.out.println(e.toString)); }
 @Test public void testGetByName { List<Commodity> list = commodityService.getByName("面包"); System.out.println(list); }
 @Test public void testPage { Page<Commodity> page = commodityService.pageQuery(0, 10, "切片"); System.out.println(page.getTotalPages); System.out.println(page.getNumber); System.out.println(page.getContent); }}

以上，便是使用Elasticsearch Repositories的方式

使用ElasticsearchTemplate方式操作Elasticsearch

@RunWith(SpringRunner.class)@SpringBootTestpublic class ElasticsearchTemplateTest {
 @Autowired public ElasticsearchTemplate elasticsearchTemplate;
 @Test public void testInsert { Commodity commodity = new Commodity; commodity.setSkuId("1501009005"); commodity.setName("葡萄吐司面包（10片装）"); commodity.setCategory("101"); commodity.setPrice(160); commodity.setBrand("良品铺子");
 IndexQuery indexQuery = new IndexQueryBuilder.withObject(commodity).build; elasticsearchTemplate.index(indexQuery); }
 @Test public void testQuery { SearchQuery searchQuery = new NativeSearchQueryBuilder .withQuery(QueryBuilders.matchQuery("name", "吐司")) .build; List<Commodity> list = elasticsearchTemplate.queryForList(searchQuery, Commodity.class); System.out.println(list); }
}

ElasticsearchTemplate是自动配置的

5. 演示

6. 工程结构

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