如何在一个实体类中放入从多个sql语句中查询的数据

Posted 2021-05-13 幻龙九头

查询1
public List sqlForDiagnosis(Date startDate, Date endDate, String cataloger) {
    String sqlForDiagnosis = "select i.cataloger name" +
            ", b.STAFF_NAME staff_name"+
            ", count(distinct i.visit_no) mr_number" +
            ", count(d.diag_code) diagnosis_number" +
            ", count(distinct d.diag_code) diagnosis_type_number" +
            " from inp_visit i" +
            " left join diagnostic_category d on i.patient_id=d.patient_id and i.visit_no=d.visit_no" +
            " left join staff_dict b  on i.CATALOGER=b.emp_id"+
            " where i.catalog_date>=to_date(\'" + DateTimeParameter.format(startDate) + "\', \'yyyy-mm-dd hh24:mi:ss\')" +
            " and i.catalog_date<=to_date(\'" + DateTimeParameter.format(endDate) + "\', \'yyyy-mm-dd hh24:mi:ss\')";
    if(!StringUtils.isEmpty(cataloger)){
                  sqlForDiagnosis += "and i.cataloger="+ cataloger;
    }
    sqlForDiagnosis += " group by i.cataloger,b.STAFF_NAME" +
    " order by i.cataloger";
    return createNativeQueryToMap(sqlForDiagnosis, new ArrayList<>());
}

查询2

public List sqlForOperation(Date startDate, Date endDate,String cataloger) {
    String sqlForOperation = "select i.cataloger name" +
            ", b.STAFF_NAME staff_name"+
            ", count(distinct i.visit_no) mr_number" +
            ", count(o.operation_code) operation_number" +
            ", count(distinct o.operation_code) operation_type_number" +
            " from inp_visit i" +
            " left join operation o on i.patient_id=o.patient_id and i.visit_no=o.visit_no" +
            " left join staff_dict b  on i.CATALOGER=b.emp_id"+
            " where i.catalog_date>=to_date(\'" + DateTimeParameter.format(startDate) + "\', \'yyyy-mm-dd hh24:mi:ss\')" +
            " and i.catalog_date<=to_date(\'" + DateTimeParameter.format(endDate) + "\', \'yyyy-mm-dd hh24:mi:ss\')" ;
    if(!StringUtils.isEmpty(cataloger)){
        sqlForOperation += "and i.cataloger="+ cataloger;
    }
    sqlForOperation += " group by i.cataloger,b.STAFF_NAME" +
            " order by i.cataloger";
    return createNativeQueryToMap(sqlForOperation, new ArrayList<>());
}

插入数据


public List statisticsWorkloadForStaff(Date startDate, Date endDate,String cataloger) {
    List<Map> diagnosisStatistic = inpMedicalRecordDao.sqlForDiagnosis(startDate, endDate,cataloger);
    List<Map> operationStatistic = inpMedicalRecordDao.sqlForOperation(startDate, endDate,cataloger);
    Map<String, StaffWorkloadStatisticVO> temp = new HashMap<>();
    for (Map diagnosis : diagnosisStatistic) {
        temp.put((String) diagnosis.get("name"),
                new StaffWorkloadStatisticVO((String) diagnosis.get("staffName"), (BigDecimal) diagnosis.get("mrNumber")
                        , (BigDecimal) diagnosis.get("diagnosisNumber"), (BigDecimal) diagnosis.get("diagnosisTypeNumber")
                        , null, null));
    }
    for (Map operation : operationStatistic) {
        String name = (String) operation.get("name");
        StaffWorkloadStatisticVO vo = temp.get(name);
        vo.setOperationNumber((BigDecimal) operation.get("operationNumber"));
        vo.setOperationTypeNumber((BigDecimal) operation.get("operationTypeNumber"));
    }
    return new ArrayList(temp.values());
}


使用数据库别名对应参数  建立一个List<Map>  用查询数据的唯一值列为key  分多次插入对应数据   最后返回拼装好的完整数据    需要多个数据表中有相同的唯一值列以做对照