测试使用索引库crud和高级查询分页

1.搭建ES的服务

• 导入依赖

   <dependency>
              <groupId>org.springframework.boot</groupId>
              <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
  </dependency>

• 配置ES

  ...
  spring:
    application:
      name: hrm-es-service
    data:
      elasticsearch:
        cluster-name: elasticsearch
        cluster-nodes: 127.0.0.1:9300 #9200是图形界面端,9300代码端
        ... 

2.创建EmployeeDoc

/**
 * 针对于  Employee 表的文档映射
 * indexName：索引库
 * type：类型(表类型)
 */
@Document(indexName = "hrm" , type = "employee")
public class EmployeeDoc {
​
    //对应文档的id
    @Id
    private Long id;
​
    @Field(type = FieldType.Keyword)    //指定为 不分词
    private String userName;
​
    private int age;
​
    @Field(type =FieldType.Text,analyzer = "ik_max_word",searchAnalyzer = "ik_max_word")
    private String intr;
    ...

3.创建索引库

@RunWith(SpringRunner.class)
@SpringBootTest(classes = EsServiceApplication2050.class)
public class ESTest {
​
    @Autowired
    private ElasticsearchTemplate elasticsearchTemplate;
​
    @Test
    public void testCreateIndex() {
        //创建索引
        elasticsearchTemplate.createIndex(EmployeeDoc.class);
        //做文档映射
        elasticsearchTemplate.putMapping(EmployeeDoc.class);
    }
}

4.定义ElasticsearchRepository

@Repository
public interface EmployeeElasticsearchRepository  extends ElasticsearchRepository<EmployeeDoc,Long> {}

5.基本CRUD

@Autowired
    private EmployeeElasticsearchRepository employeeElasticsearchRepository;
​
    //初始化
    @Test
    public void testCreateIndex() {
        //创建索引
        elasticsearchTemplate.createIndex(EmployeeDoc.class);
        //做文档映射
        elasticsearchTemplate.putMapping(EmployeeDoc.class);
    }
    //添加数据
    @Test
    public void testAdd(){
​
        //准备数据
        EmployeeDoc employeeDoc = new EmployeeDoc();
        employeeDoc.setAge(18);
        employeeDoc.setUserName("王大锤");
        employeeDoc.setIntr("我爱中国");
​
        //添加数据到es
        employeeElasticsearchRepository.save(employeeDoc);
    }
​
    //添加数据
    @Test
    public void testUpdate(){
​
        //准备数据
        EmployeeDoc employeeDoc = new EmployeeDoc();
        employeeDoc.setId(5L);  //有id就是修改
        employeeDoc.setAge(18);
        employeeDoc.setUserName("周伯通");
        employeeDoc.setIntr("深得童子通真传");
​
        //添加数据到es
        employeeElasticsearchRepository.save(employeeDoc);
    }
    //删除数据
    @Test
    public void testDelete(){
        employeeElasticsearchRepository.deleteById(5L);
    }
    //获取数据
    @Test
    public void testGet(){
        Optional<EmployeeDoc> optional = employeeElasticsearchRepository.findById(5L);
        System.out.println(optional.get());
    }

6.高级查询分页

//通过索引库，高级查询和分页
    /**
     * 用户名为  隔壁老王
     * age在 10 - 20
     * 按照 id排序降序
     * 分页 每页 2条 取第一页
     */
    @Test
    public void testSearchAndPage() throws Exception{
        //1.创建查询建造器对象
        NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder();
​
        //2.给查询建造器添加查询条件对象
            //1.创建组合查询条件对象
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
            //2.添加查询条件：分词查询：username
        List<QueryBuilder> must= boolQuery.must();
        must.add(QueryBuilders.matchQuery("username","周伯通" ));
            //2.添加查询条件：范围查询：age：10到30
        List<QueryBuilder> filter = boolQuery.filter();
        filter.add(QueryBuilders.rangeQuery("age").lte(30).gte(10));
            //3.给查询建造器添加查询条件对象
        queryBuilder.withQuery(boolQuery);
​
        //3.给查询建造器添加分页对象：从第0页开始，每页2条
        queryBuilder.withPageable(PageRequest.of(0,2 ));
​
        //4.给查询建造器添加排序
            //1.创建排序对象:id，降序
        FieldSortBuilder sortBuilder = new FieldSortBuilder("id").order(SortOrder.DESC);
            //2.给查询建造器添加排序
        queryBuilder.withSort(sortBuilder);
​
        //5.创建查询对象
        NativeSearchQuery searchQuery = queryBuilder.build();
​
        //6.传给search方法，执行高级查询分页排序功能，得到分页对象
        Page<EmployeeDoc> page = employeeElasticsearchRepository.search(searchQuery);
​
        //7.获取结果
            //获得总条数
        int totalPages = page.getTotalPages();
        System.out.println(totalPages);
            //获得当前页数据
        Iterator<EmployeeDoc> iterator = page.getContent().iterator();
        while (iterator.hasNext()){
            System.out.println(iterator.next());
        }
    }