Spring Boot 集成 Elasticsearch 实战

比眉伴天荒 2021-07-31 19:36 460阅读 0赞

![640?wx\_fmt=jpeg][640_wx_fmt_jpeg]

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-application	
    network.host: 192.168.1.134	
    http.port: 9200

/etc/security/limits.conf

cheng soft nofile 65536	
    cheng 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

![640?wx\_fmt=png][640_wx_fmt_png]

## 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-application	
    spring.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

![640?wx\_fmt=png][640_wx_fmt_png 1]

## 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

![640?wx\_fmt=jpeg][640_wx_fmt_jpeg 1]

@Repository	
    public 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

@Service	
    public 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)	
    @SpringBootTest	
    public 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)	
    @SpringBootTest	
    public 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

![640?wx\_fmt=png][640_wx_fmt_png 2]

## 5. 演示 ##

![640?wx\_fmt=png][640_wx_fmt_png 3]

## 6. 工程结构 ##

![640?wx\_fmt=png][640_wx_fmt_png 4]

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