目录

1 相关配置

2 相关测试

2.1 索引测试

​2.2 文档操作

2.3 文档搜索 

1 相关配置

1）相关依赖：

    4.0.0
    
        org.springframework.boot
        spring-boot-starter-parent
        2.3.7.RELEASE
         
    
    com.liubujun
    springdata-elasticsearch
    0.0.1-SNAPSHOT
    springdata-elasticsearch
    Demo project for Spring Boot
    
        1.8
    
    
        
            org.springframework.boot
            spring-boot-starter-data-elasticsearch
        
        
            org.springframework.boot
            spring-boot-devtools
            runtime
            true
        
        
            org.springframework.boot
            spring-boot-starter-test
            test
        
        
            org.springframework.boot
            spring-boot-test
        
        
            junit
            junit
        
        
            org.springframework
            spring-test
        
        
            org.projectlombok
            lombok
            true
        

    

    
        
            
                org.springframework.boot
                spring-boot-maven-plugin
                
                    
                        
                            org.projectlombok
                            lombok
                        
                    
                
            
        
    

2）相关配置类：

//ConfigurationProperties会自动读取application.properties配置文件下elasticsearch开头的配置
@ConfigurationProperties(prefix = "elasticsearch")
@Configuration
@Data
public class ElasticsearchConfig extends AbstractElasticsearchConfiguration {

    private String host;
    private Integer port;

    @Override
    public RestHighLevelClient elasticsearchClient() {
        RestClientBuilder builder = RestClient.builder(new HttpHost(host, port));
        RestHighLevelClient restHighLevelClient = new RestHighLevelClient(builder);
        return restHighLevelClient;
    }
}

3）配置文件application.properties

#es的服务地址
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

4）实体类

@Data
@NoArgsConstructor
@AllArgsConstructor
@ToString
@Document(indexName = "product",shards = 3,replicas = 1)
public class Product {

    @Id
    private Long id; //商品唯一标识

    @Field(type = FieldType.Text)
    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
}

5）持久层

@Repository
public interface ProductDao extends ElasticsearchRepository {

}

2 相关测试

2.1 索引测试

@RunWith(SpringRunner.class)
@SpringBootTest
class SpringdataElasticsearchApplicationTests {

    @Autowired
    private ElasticsearchRestTemplate elasticsearchRestTemplate;

    @Test
    public void createIndex(){
        //系统初始化会自动创建索引，会自动找到实体类中的product索引，如果有则跳过，没有则创建
        System.out.println("创建索引");
    }

    @Test
    public void deleteIndex(){
        //系统初始化会自动创建索引
        boolean flag = elasticsearchRestTemplate.deleteIndex(Product.class);
        System.out.println("删除索引="+flag);
    }



}

先查一下当前ES中的索引。

 运行测试类添加索引之后：

 可以发现索引正常添加。

运行删除索引后：

 2.2 文档操作

1）保存文档：

    @Autowired
    private ProductDao productDao;

    @Test
    public void createIndex(){
      //新增
        Product product = new Product();
        product.setId(2L);
        product.setTitle("华为手机");
        product.setCategory("手机");
        product.setPrice(2999.0);
        product.setImages("http://jdvzvcz.jpg");
        productDao.save(product);
    }

 注意：运行之后可能会出现如下错误：

 Unable to parse response body for Response{requestLine=PUT /product/_doc/2?timeout=1m HTTP/1.1, host=http://127.0.0.1:9200, response=HTTP/1.1 201 Created}; nested exception is java.lang.RuntimeException: Unable to parse response body for Response{requestLine=PUT /product/_doc/2?timeout=1m HTTP/1.1, host=http://127.0.0.1:9200, response=HTTP/1.1 201 Created}

 但是数据是已经保存到我们的es中的，这可能是由于我的es版本过低导致的。

2）修改文档：

    @Test
    public void updateIndex(){
        //新增
        Product product = new Product();
        product.setId(2L);
        product.setTitle("华为手机");
        product.setCategory("手机");
        product.setPrice(1999.0);
        product.setImages("http://jdvzvcz.jpg");
        productDao.save(product);
    }

其实和新增文档一样，修改之后查询es看是否修改成功

如上所示：价格已经修改成功。

3）根据id查询

    //根据id查询
    @Test
    public void findById(){
        Product product = productDao.findById(2L).get();
        System.out.println(product);
    }

 4）查询所有

    //查询所有
    @Test
    public void findAll(){
        Iterable products = productDao.findAll();
        for (Product product: products){
            System.out.println(product);
        }

    }

5）批量插入

    //批量新增
    @Test
    public void saveAll(){
        List productList = new ArrayList<>();
        for (int i = 0; i < 10; i++) {
            //新增
            Product product = new Product();
            product.setId(Long.valueOf(i));
            product.setTitle("华为手机");
            product.setCategory("手机");
            product.setPrice(1999.0+i);
            product.setImages("http://jdvzvcz.jpg");
            productList.add(product);
        }
        productDao.saveAll(productList);
    }

es查询：

6）分页查询

    //分页查询
    @Test
    public void findByPageable(){
        //设置排序方式
        Sort sort = Sort.by(Sort.Direction.DESC, "id");
        int from = 0;
        int to = 5;
        //设置查询分页
        PageRequest pageRequest = PageRequest.of(from, to, sort);
        Page productPage = productDao.findAll(pageRequest);
        for (Product product : productPage.getContent()) {
            System.out.println(product);
        }
    }

 结果：

2.3 文档搜索 

1）全部搜索

    @Test
    public void termQuery(){
        TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("category", "手机");
        Iterable products = productDao.search(termQueryBuilder);
        for (Product product : products){
            System.out.println(product);
        }

    }

2）分页搜索

    @Test
    public void termQueryPage(){
        int currentPage = 0;
        int pageSize = 5;

        PageRequest pageRequest = PageRequest.of(currentPage, pageSize);
        TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("category", "手机");
        Iterable products = productDao.search(termQueryBuilder, pageRequest);
        for (Product product : products){
            System.out.println(product);
        }

    }