基于若依springboot架构实现数据多维统计

需求背景

项目中需要一个统计功能，同时可以根据勾选不同维度的统计字段来实现列表动态增减，实现效果如图：https://pan.baidu.com/s/1D9cBOWJ2q6rqL7BpU_wcMQ?pwd=wx6q，由于语雀编辑器暂时不支持视频上传，这里是百度网盘的免提取码链接，可直接观看

代码实现

首先需要处理的是页面动态增减列

页面代码

accountFlowInfoRecordData.html

  


     

    

      

        

          

            

              

                流转类型：
                
                  请选择
                  
                
              
              

                数据来源：
                
                
              
              

                流转部门：
                
                
              
              

                考种：
                
                  请选择
                  
                
              
              

                班次：
                
                  请选择
                  
                
              
              

                员工：
                
                
              
              

                登记时间：
                
                
                
              

              

                 搜索
                 重置
              
            
          
        
      

          

        

          

            

              

                维度:
                数据类型
                数据来源
                流转部门
                考种
                班次
                员工
                时间粒度
              
            
          
        
      
      

        
      
    
  
    

    


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页面代码解析




页面核心函数query(),页面代码就说这么多，具体的可以查看源码，下面来看一下后端java代码

java代码

controllerk类AccountFlowInfoRecordDataController.java源码

package com.dongao.project.accountflowinforecorddata.controller;

import java.util.List;
import java.util.Map;

import com.dongao.project.examtype.domain.ExamType;
import com.dongao.project.examtype.service.IExamTypeService;
import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.ui.ModelMap;
import org.springframework.web.bind.annotation.*;
import com.ruoyi.framework.aspectj.lang.annotation.Log;
import com.ruoyi.framework.aspectj.lang.enums.BusinessType;
import com.dongao.project.accountflowinforecorddata.domain.AccountFlowInfoRecordData;
import com.dongao.project.accountflowinforecorddata.service.IAccountFlowInfoRecordDataService;
import com.ruoyi.framework.web.controller.BaseController;
import com.ruoyi.framework.web.page.TableDataInfo;
import com.ruoyi.framework.web.domain.AjaxResult;
import com.ruoyi.common.utils.poi.ExcelUtil;

/**
 * 流转记录统计信息操作处理
 * 
 * @author dongao
 * @date 2022-07-01
 */
@Controller
@RequestMapping("/project/accountFlowInfoRecordData")
public class AccountFlowInfoRecordDataController extends BaseController
{
    private String prefix = "project/accountFlowInfoRecordData";
  
  @Autowired
  private IAccountFlowInfoRecordDataService accountFlowInfoRecordDataService;
  @Autowired
  private IExamTypeService examTypeService;
  
  @RequiresPermissions("project:accountFlowInfoRecordData:view")
  @GetMapping()
  public String accountFlowInfoRecordData(ModelMap mmap)
  {
    ExamType examType = new ExamType();
    List examTypes = examTypeService.selectExamTypeList(examType);
    mmap.put("examTypes",examTypes);
      return prefix + "/accountFlowInfoRecordData";
  }
  
  /**
   * 查询流转记录统计列表
   */
  @RequiresPermissions("project:accountFlowInfoRecordData:list")
  @PostMapping("/list")
  @ResponseBody
  public TableDataInfo list(@RequestParam Map params)
  {
    startPage();
        List list =
        accountFlowInfoRecordDataService.selectAccountFlowInfoRecordDataListOther(params);
    return getDataTable(list);
  }

  /**
   * 分组查询流转记录统计列表
   */
  @RequiresPermissions("project:accountFlowInfoRecordData:list")
  @PostMapping("/getAccountDataGroup")
  @ResponseBody
  public TableDataInfo getAccountDataGroup(@RequestParam Map params)
  {
    startPage();
        List list =
        accountFlowInfoRecordDataService.getAccountDataGroup(params);
    return getDataTable(list);
  }

}
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后端java代码解析


业务逻辑实现类AccountFlowInfoRecordDataServiceImpl.java代码

package com.dongao.project.accountflowinforecorddata.service;

import com.dongao.project.accountflowinforecorddata.domain.AccountFlowInfoRecordData;
import com.dongao.project.accountflowinforecorddata.mapper.AccountFlowInfoRecordDataMapper;
import com.dongao.project.examtype.domain.ExamType;
import com.dongao.project.examtype.mapper.ExamTypeMapper;
import com.ruoyi.common.utils.StringUtils;
import com.ruoyi.common.utils.text.Convert;
import com.ruoyi.project.system.dept.domain.Dept;
import com.ruoyi.project.system.dept.mapper.DeptMapper;
import com.ruoyi.project.system.user.domain.User;
import com.ruoyi.project.system.user.mapper.UserMapper;
import org.apache.commons.collections.CollectionUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.util.List;
import java.util.Map;
import java.util.Objects;

/**
 * 流转记录统计 服务层实现
 * 
 * @author dongao
 * @date 2022-07-01
 */
@Service
public class AccountFlowInfoRecordDataServiceImpl implements IAccountFlowInfoRecordDataService 
{
  @Autowired
  private AccountFlowInfoRecordDataMapper accountFlowInfoRecordDataMapper;
  @Autowired
  private DeptMapper deptMapper;
  @Autowired
  private ExamTypeMapper examTypeMapper;
  @Autowired
  private UserMapper userMapper;
  
  /**
     * 查询流转记录统计列表
     * 
     * @param accountFlowInfoRecordData 流转记录统计信息
     * @return 流转记录统计集合
     */
  @Override
  public List selectAccountFlowInfoRecordDataList(AccountFlowInfoRecordData accountFlowInfoRecordData)
  {
      return accountFlowInfoRecordDataMapper.selectAccountFlowInfoRecordDataList(accountFlowInfoRecordData);
  }
  
  /**
   * 查询数据
   * @param params
   * @return
   */
  @Override
  public List selectAccountFlowInfoRecordDataListOther(Map params) {
    List list =
        accountFlowInfoRecordDataMapper.selectAccountFlowInfoRecordDataListOther(params);
    return list;
  }

  /**
   * 分组查询流转记录统计列表
   * @param params
   * @return
   */
  @Override
  public List getAccountDataGroup(Map params) {
    //分组参数
    String selectParam = (String) params.get("selectParam");
    if (StringUtils.isNotEmpty(selectParam)) {
      String groupby = "";
      String groupfield = "";
      if (selectParam.contains("1")) {
        groupby = groupby + "channel_type,";
        groupfield = groupfield + "channel_type channel_type,";
      }
      if (selectParam.contains("2")) {
        groupby = groupby + "create_dept_id,";
        groupfield = groupfield + "create_dept_id create_dept_id,";
      }
      if (selectParam.contains("3")) {
        groupby = groupby + "flow_dept_id,";
        groupfield = groupfield + "flow_dept_id flow_dept_id,";
      }
      if (selectParam.contains("4")) {
        groupby = groupby + "exam_type_id,";
        groupfield = groupfield + "exam_type_id exam_type_id,";
      }
      if (selectParam.contains("5")) {
        groupby = groupby + "shift_id,";
        groupfield = groupfield + "shift_id shift_id,";
      }
      if (selectParam.contains("6")) {
        groupby = groupby + "user_id,";
        groupfield = groupfield + "user_id user_id,";
      }
      if (selectParam.contains("7")) {
        groupby = groupby + "account_time";
        groupfield = groupfield + "account_time account_time,";
      }
      if (groupby.endsWith(",")) {
        groupby = groupby.substring(0, groupby.length() - 1);
      }
      params.put("groupby",groupby);
      //字段用
      groupfield = groupfield + "SUM(allot_nums) allot_nums,SUM(daily_order_nums) daily_order_nums,SUM(total_order_nums) total_order_nums ";
      params.put("groupfield",groupfield);
    }
    List list = accountFlowInfoRecordDataMapper.selectAccountFlowInfoRecordDataListOther(params);
    if (CollectionUtils.isNotEmpty(list)) {
      // 1 数据类型-页面处理  3 流转部门 4 考种 5 班次--页面处理 6 员工 7 时间粒度
      for (AccountFlowInfoRecordData account : list) {
        //2 数据来源
        if (Objects.nonNull(account.getCreateDeptId())) {
          Dept dept = deptMapper.selectDeptById(account.getCreateDeptId());
          if (Objects.nonNull(dept)) {
            account.setCreateDeptName(dept.getDeptName());
          }
        }
        //3 流转部门
        if (Objects.nonNull(account.getFlowDeptId())) {
          Dept dept = deptMapper.selectDeptById(account.getFlowDeptId());
          if (Objects.nonNull(dept)) {
            account.setFlowDeptName(dept.getDeptName());
          }
        }
        //4 考种
        if (Objects.nonNull(account.getExamTypeId())) {
          ExamType examType = examTypeMapper.selectExamTypeById(account.getExamTypeId());
          if (Objects.nonNull(examType)) {
            account.setExamTypeName(examType.getExamName());
          }
        }
        //6 员工
        if (Objects.nonNull(account.getUserId())) {
          User user = userMapper.selectUserById(account.getUserId());
          if (Objects.nonNull(user)) {
            account.setUserName(user.getUserName());
          }
        }
      }
    }
    return list;
  }

}
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XML代码AccountFlowInfoRecordDataMapper.xml

    
    
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
    
  
    
        select id, account_time, user_id, dept_id, channel_type, create_dept_id, flow_dept_id, exam_type_id, shift_id, smallest_unit, allot_nums, daily_order_nums, total_order_nums, create_time, update_time from crm_account_flow_info_record_data
    
  
    
        
        
             and id = #{id}
             and account_time = #{accountTime}
             and user_id = #{userId}
             and dept_id = #{deptId}
             and channel_type = #{channelType}
             and create_dept_id = #{createDeptId}
             and flow_dept_id = #{flowDeptId}
             and exam_type_id = #{examTypeId}
             and shift_id = #{shiftId}
             and smallest_unit = #{smallestUnit}
             and allot_nums = #{allotNums}
             and daily_order_nums = #{dailyOrderNums}
             and total_order_nums = #{totalOrderNums}
             and create_time = #{createTime}
             and update_time = #{updateTime}
        
    
    
    
        
            
                select ${params.groupfield} from crm_account_flow_info_record_data
            
            
                
            
        
        
            
                 and channel_type = #{params.channelType}
                 and exam_type_id = #{params.examTypeId}
                 and shift_id = #{params.shiftId}
                
                    AND user_id IN
                    
                        #{userId}
                    
                
                
                    AND flow_dept_id IN
                    
                        #{flowDeptId}
                    
                
                
                    AND create_dept_id IN
                    
                        #{createDeptId}
                    
                
                
                    AND account_time >= #{params.accountStartTime}
                
                
                    AND account_time <= #{params.accountEndTime}
                
            
        
        
            group by ${params.groupby}
        
    


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xml代码解析，主要关注id为selectAccountFlowInfoRecordDataListOther的sql查询，这里用到了${},那么这里也顺便说一下#{} ${}的区别

#{} ${}的区别

#{}将传入的参数当成一个字符串，会给传入的参数加一个双引号
KaTeX parse error: Expected 'EOF', got '#' at position 28: …生成在sql中，不会添加引号 #̲{}能够很大程度上防止sql注…{}无法防止sql注入
通过使用${}接收业务逻辑层处理动态传入的字段名动态生成分组查询sql，同时根据页面动态展示查询数据，到这里整个业务逻辑流程也就算完成了，实现的效果就和开始看到的效果一样了。

参考文章：https://developer.aliyun.com/article/985616