8.11 SpringBoot集成ElasticSearch之聚合

1.condition开发
在项目目录“/src/main/java/com/example/es/condition”下新建AggEmployeeCondition聚合条件类，AggEmployeeCondition类需要实现AggProvider接口，具体代码如下。

@Data
public class AggEmployeeCondition extends SampleEmployeeCondition implements AggProvider {

    @Override
    public Aggregation[] getAggregations() {
        TermsAggregation terms = Aggregation.terms("groupByAge").fieldName("age").order(Order.COUNT_DESC, Order.KEY_ASC);
        return new Aggregation[]{terms};
    }
}

2.mapper开发
在项目目录“/src/main/java/com/example/es”的EmployeeMapper类中新增聚合接口，具体代码如下。

@EasyMapper(indices = "employee", clusterRouter = "sampleCluster")
public interface EmployeeMapper {
    /**
     * 聚合查询
     *
     * @param pageable          分页信息
     * @param aggEmployeeCondition 聚合条件
     * @return 响应
     */
    @Agg
    SearchResponse aggEmployee(Pageable pageable, AggEmployeeCondition aggEmployeeCondition);

    /**
     * 聚合查询
     *
     * @param aggEmployeeCondition 聚合条件
     * @return 响应
     */
    @Agg(aggOnly = true)
    Aggregations aggsEmployee(AggEmployeeCondition aggEmployeeCondition);

    /**
     * 聚合查询
     *
     * @param aggEmployeeCondition 聚合条件
     * @return 响应
     */
    @Agg
    List<Aggregation> aggEmployee(AggEmployeeCondition aggEmployeeCondition);

    /**
     * 聚合查询
     *
     * @param aggEmployeeCondition 聚合条件
     * @return 响应
     */
    @Agg
    Map<String, Aggregation> aggEmployeeMap(AggEmployeeCondition aggEmployeeCondition);
}

3.controller开发
在项目目录“/src/main/java/com/example/es”下的EmployeeController类中新增聚合接口，以aggEmployee接口为例演示开发步骤，具体代码如下。

@RestController
@RequestMapping("/employee")
public class EmployeeController {
    @Resource
    private EmployeeMapper employeeMapper;

    @ResponseBody
    @RequestMapping(value = "/aggEmployee", method = RequestMethod.GET)
    public List<Aggregation> aggEmployee() {
        return employeeMapper.aggEmployee(new AggEmployeeCondition());
    }
}

4.测试
启动项目，然后在postman中请求“http://localhost:8080/employee/aggEmployee”，成功后返回对应的信息。

[
    {
        "name": "groupByAge",
        "buckets": [
            {
                "aggregations": {
                    "asMap": {},
                    "fragment": true
                },
                "keyAsstring": "24",
                "docCount": 1,
                "docCountError": 0,
                "key": 24,
                "keyAsNumber": 24,
                "fragment": true
            },
            {
                "aggregations": {
                    "asMap": {},
                    "fragment": true
                },
                "keyAsstring": "25",
                "docCount": 1,
                "docCountError": 0,
                "key": 25,
                "keyAsNumber": 25,
                "fragment": true
            },
            {
                "aggregations": {
                    "asMap": {},
                    "fragment": true
                },
                "keyAsstring": "27",
                "docCount": 1,
                "docCountError": 0,
                "key": 27,
                "keyAsNumber": 27,
                "fragment": true
            },
            {
                "aggregations": {
                    "asMap": {},
                    "fragment": true
                },
                "keyAsstring": "30",
                "docCount": 1,
                "docCountError": 0,
                "key": 30,
                "keyAsNumber": 30,
                "fragment": true
            },
            {
                "aggregations": {
                    "asMap": {},
                    "fragment": true
                },
                "keyAsstring": "31",
                "docCount": 1,
                "docCountError": 0,
                "key": 31,
                "keyAsNumber": 31,
                "fragment": true
            },
            {
                "aggregations": {
                    "asMap": {},
                    "fragment": true
                },
                "keyAsstring": "33",
                "docCount": 1,
                "docCountError": 0,
                "key": 33,
                "keyAsNumber": 33,
                "fragment": true
            },
            {
                "aggregations": {
                    "asMap": {},
                    "fragment": true
                },
                "keyAsstring": "35",
                "docCount": 1,
                "docCountError": 0,
                "key": 35,
                "keyAsNumber": 35,
                "fragment": true
            }
        ],
        "type": "lterms",
        "docCountError": 0,
        "sumOfOtherDocCounts": 0,
        "MetaData": null,
        "fragment": true
    }
]