使用 easypoi 导出 excel 实现动态列,完美解决!

说明

• 使用的是easypoi进行导出
• 行头是动态生成
• 依据key进行列匹配，进行数据填充
• 第一列进行纵向动态合并

工具依赖

<dependency>
<groupId>cn.afterturn</groupId>
<artifactId>easypoi-base</artifactId>
<version>3.2.0</version>
</dependency>
<dependency>
<groupId>cn.afterturn</groupId>
<artifactId>easypoi-annotation</artifactId>
<version>3.2.0</version>
</dependency>
<dependency>
<groupId>cn.afterturn</groupId>
<artifactId>easypoi-web</artifactId>
<version>3.2.0</version>
</dependency>

实现效果

变更前样式

变更后样式

代码解析

动态生成列头

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private List<ExcelExportEntity> dynamicNewAddExcel(Map<String, PlatformStatisParamRespData> paramInfo){
//表头的集合，用于添加表头
    List<ExcelExportEntity> entityList = new ArrayList<>();

//ExcelExportEntity构造参数【第一个是列名头的统计字段,第二个是需要指定的一个key在填充数据的时候是需要根据这个key进行填充值,第三个参数是列宽】
    ExcelExportEntity platformXh = new ExcelExportEntity("统计字段1", "statisKey1", 30);
//列的合并(纵向列的同名称会进行合并,效果见上图的平台名称的变化)
    platformXh.setMergeVertical(true);
    entityList.add(platformXh);

    ExcelExportEntity statisDateXh = new ExcelExportEntity("统计字段2", "statisKey2", 30);
    entityList.add(statisDateXh);

//参数信息--[用于动态拼接列头]
final Iterator<String> iterator = paramInfo.keySet().iterator();
while (iterator.hasNext()) {
final String paramKeyStr = iterator.next();
final String paramNameStr = paramInfo.get(paramKeyStr).getDataName();
//列头由参数汉字名称,参数key为列key
      entityList.add(new ExcelExportEntity(paramNameStr, paramKeyStr, 30));
    }
return entityList;
  }

动态填充数据

private List<Map<String, Object>> dynamicListDataByKey(List<PlatformIncomeRespDTO> statisData) {
//参数类型
final Set<String> statisParamKey = statisData.get(0).getParamInfo().keySet();
final List<String> statisDate = statisData.get(0).getStatisDate();
finalint platformNum = statisData.size();

//最终的数据
    List<Map<String, Object>> datas = new ArrayList<>();
for (int i = 0; i < platformNum; i++) {
for (int j = 0; j < statisDate.size(); j++) {
        Map<String, Object> hashMap = new LinkedHashMap<>(10);
//这个是依据key进行数据的填充,(根据前面填写的statisKey1进行填充数据)
        hashMap.put("statisKey1", statisData.get(i).getPlatformNickName());
        String statisDateStr = statisDate.get(j);
//这个是依据key进行数据的填充,(根据前面填写的statisKey2进行填充数据)
        hashMap.put("statisKey2", statisDateStr);
//参数的验证
for (String paramKey : statisParamKey) {
for (BiPlatformStatisRespDTO paramData : statisData.get(i).getStatisData().get(j)) {
if (paramKey.equals(paramData.getParamKey())) {
              hashMap.put(paramData.getParamKey(), paramData.getValue() + "(" + paramData.getRateValue() + ")");
            }
          }
        }
        datas.add(hashMap);
      }
    }
return datas;
  }

excel的导出

//statisData就是我们查询出来的数据
publicvoiddownloadPlatformIncomeContrast(List<PlatformIncomeRespDTO> statisData, HttpServletResponse response){
if (CollectionUtils.isEmpty(statisData)) {
return;
    }
//获取参数信息
final Map<String, PlatformStatisParamRespData> paramInfo = statisData.get(0).getParamInfo();

//拼装列头
    List<ExcelExportEntity> colList = this.dynamicNewAddExcel(paramInfo);

//数据拼装
    List<Map<String, Object>> list = this.dynamicListDataByKey(statisData);
final String xlsFileName = DateHelper.getNowString(FormatUnit.yyyyMMddHHmmss, true) + ".xls";
final Workbook workbook = ExcelExportUtil.exportExcel(new ExportParams(), colList, list);

//动态合并纵列[mergeMap key列索引(从0开始),value依赖的列,没有传空,startRow 开始行(从零开始)]
//Map<Integer, int[]> mer = new HashMap<>();
//mer.put(0, new int[]{});
//PoiMergeCellUtil.mergeCells(workbook.getSheetAt(0), mer, 1);
    EasypoiUtil.downLoadExcel(xlsFileName, response, workbook);
  }

EasypoiUtil工具类

publicstaticvoiddownLoadExcel(String fileName, HttpServletResponse response, Workbook workbook){
try {
      response.setCharacterEncoding("UTF-8");
      response.setHeader("content-Type", "application/vnd.ms-excel");
      response.setHeader("Content-Disposition",
"attachment;filename=" + URLEncoder.encode(fileName, "UTF-8"));
      workbook.write(response.getOutputStream());
    } catch (IOException e) {
thrownew RuntimeException(e.getMessage());
    }
  }

PlatformIncomeRespDTO

@Data
@NoArgsConstructor
@AllArgsConstructor
publicclassPlatformIncomeRespDTOimplementsSerializable{

privatestaticfinallong serialVersionUID = 1100499105160261425L;


/**
   * 平台别名
   */
private String platformNickName;

/*统计时间*/
private List<String> statisDate;

/*查询参数信息--[用户收入来源统计导出使用]*/
private Map<String, PlatformStatisParamRespData> paramInfo;


/*统计数据*/
private List<List<BiPlatformStatisRespDTO>> statisData;
}

PlatformStatisParamRespData

@Data
@NoArgsConstructor
@AllArgsConstructor
publicclassPlatformStatisParamRespDataimplementsSerializable{

privatestaticfinallong serialVersionUID = 4263523446154995471L;

/**
   * 参数名称
   */
private String dataName;

/**
   * 参数key
   */
private String dateKey;

/**
   * 参数描述
   */
private String dateDesc;

}

BiPlatformStatisRespDTO

@Data
@AllArgsConstructor
publicclassBiPlatformStatisRespDTOimplementsSerializable{

privatestaticfinallong serialVersionUID = 6070471415344415351L;

@Excel(name = "统计字段", orderNum = "1")
private String param;

/**
   * 参数的key
   */
private String paramKey;

/**
   * 参数描述
   */
private String paramDesc;

private String startDate;

private String endDate;

@Excel(name = "统计数据", orderNum = "2")
private String value;

private String rateValue;

private Long id;

private Integer riseOrFall;

publicBiPlatformStatisRespDTO(String startDate, String paramKey, String value){
this.paramKey = paramKey;
this.startDate = startDate;
this.value = value;
  }

publicBiPlatformStatisRespDTO(){
  }
}

测试用例

测试特殊说明

导出的结果有个控制,是在拼装的时候没有填充此数据,不影响整体效果。扩展：接私活儿

测试结果示例

测试数据json示例

[
    {
"paramInfo": {
"userCount": {
"dataName": "用户数", 
"dateDesc": "用户信息", 
"dateKey": "userCount"
            }, 
"friendsCount": {
"dataName": "好友数", 
"dateDesc": "好友信息", 
"dateKey": "friendsCount"
            }
        }, 
"platformNickName": "aaa", 
"statisData": [
            [
                {
"paramKey": "userCount", 
"startDate": "2019-12-26", 
"value": "100"
                }, 
                {
"paramKey": "friendsCount", 
"startDate": "2019-12-26", 
"value": "200"
                }
            ], 
            [
                {
"paramKey": "userCount", 
"startDate": "2019-12-27", 
"value": "300"
                }, 
                {
"paramKey": "friendsCount", 
"startDate": "2019-12-27", 
"value": "400"
                }
            ]
        ], 
"statisDate": [
"2019-12-26", 
"2019-12-27"
        ]
    }, 
    {
"paramInfo": {
"userCount": {
"dataName": "用户数", 
"dateDesc": "用户信息", 
"dateKey": "userCount"
            }, 
"friendsCount": {
"dataName": "好友数", 
"dateDesc": "好友信息", 
"dateKey": "friendsCount"
            }
        }, 
"platformNickName": "bbb", 
"statisData": [
            [
                {
"paramKey": "userCount", 
"startDate": "2019-12-26", 
"value": "500"
                }, 
                {
"paramKey": "friendsCount", 
"startDate": "2019-12-26", 
"value": "600"
                }
            ], 
            [
                {
"paramKey": "userCount", 
"startDate": "2019-12-27", 
"value": "700"
                }, 
                {
"paramKey": "friendsCount", 
"startDate": "2019-12-27", 
"value": "800"
                }
            ]
        ], 
"statisDate": [
"2019-12-26", 
"2019-12-27"
        ]
    }
]

测试用例代码 扩展：接私活必备

publicclassSimple{

/**
   * @Description: 拼接表头
   * @Param: paramInfo :表头信息
   * @return: java.util.List<cn.afterturn.easypoi.excel.entity.params.ExcelExportEntity>
   * @Author: peikunkun
   * @Date: 2019/12/26 0026 上午 10:42
   */
privatestatic List<ExcelExportEntity> dynamicNewAddExcel(Map<String, PlatformStatisParamRespData> paramInfo){
//表头的集合，用于添加表头
    List<ExcelExportEntity> entityList = new ArrayList<>();

//ExcelExportEntity构造参数【第一个是列名头的统计字段,第二个是需要指定的一个key在填充数据的时候是需要根据这个key进行填充值,第三个参数是列宽】
    ExcelExportEntity platformXh = new ExcelExportEntity("统计字段1", "statisKey1", 30);
//列的合并(纵向列的同名称会进行合并,效果见上图的平台名称的变化)
    platformXh.setMergeVertical(true);
    entityList.add(platformXh);

    ExcelExportEntity statisDateXh = new ExcelExportEntity("统计字段2", "statisKey2", 30);
    entityList.add(statisDateXh);

//参数信息--[用于动态拼接列头]
final Iterator<String> iterator = paramInfo.keySet().iterator();
while (iterator.hasNext()) {
final String paramKeyStr = iterator.next();
final String paramNameStr = paramInfo.get(paramKeyStr).getDataName();
//列头由参数汉字名称,参数key为列key
      entityList.add(new ExcelExportEntity(paramNameStr, paramKeyStr, 30));
    }
return entityList;
  }


/**
   * @Description: 拼接数据
   * @Param: statisData :拼接数据
   * @Author: peikunkun
   * @Date: 2019/12/26 0026 上午 10:42
   */
privatestatic List<Map<String, Object>> dynamicListDataByKey(List<PlatformIncomeRespDTO> statisData) {
//参数类型
final Set<String> statisParamKey = statisData.get(0).getParamInfo().keySet();
final List<String> statisDate = statisData.get(0).getStatisDate();
finalint platformNum = statisData.size();

//最终的数据
    List<Map<String, Object>> datas = new ArrayList<>();
for (int i = 0; i < platformNum; i++) {
for (int j = 0; j < statisDate.size(); j++) {
        Map<String, Object> hashMap = new LinkedHashMap<>(10);
//这个是依据key进行数据的填充,(根据前面填写的statisKey1进行填充数据)
        hashMap.put("statisKey1", statisData.get(i).getPlatformNickName());
        String statisDateStr = statisDate.get(j);
//这个是依据key进行数据的填充,(根据前面填写的statisKey2进行填充  数据)
        hashMap.put("statisKey2", statisDateStr);
//参数的验证
for (String paramKey : statisParamKey) {
for (BiPlatformStatisRespDTO paramData : statisData.get(i).getStatisData().get(j)) {
if (paramKey.equals(paramData.getParamKey())) {
              hashMap.put(paramData.getParamKey(), paramData.getValue() + "(" + paramData.getRateValue() + ")");
            }
          }
        }
        datas.add(hashMap);
      }
    }
return datas;
  }


@Test
publicvoidAdministrator_84_20191226095523()throws IOException {
    System.out.println("欢迎使用单元测试方法【Administrator_84()_20191226095523】");
    System.out.println("此方法测试描述：【】");
//拼装第一个数据---------------------------------------------------------------------
final PlatformIncomeRespDTO platformIncomeRespDTO1 = new PlatformIncomeRespDTO();
    platformIncomeRespDTO1.setPlatformNickName("aaa");
//拼装时间维度
    platformIncomeRespDTO1.setStatisDate(Lists.newArrayList("2019-12-26","2019-12-27"));
//拼装头信息
    Map<String, PlatformStatisParamRespData> paramInfo1=new HashMap<>();
    paramInfo1.put("userCount", new PlatformStatisParamRespData("用户数","userCount","用户信息"));
    paramInfo1.put("friendsCount", new PlatformStatisParamRespData("好友数","friendsCount","好友信息"));
    platformIncomeRespDTO1.setParamInfo(paramInfo1);
//拼装数据
final ArrayList<List<BiPlatformStatisRespDTO>> data1 = Lists.newArrayList();
    data1.add(Lists.newArrayList(new BiPlatformStatisRespDTO("2019-12-26","userCount","100"),new BiPlatformStatisRespDTO("2019-12-26","friendsCount","200")));
    data1.add(Lists.newArrayList(new BiPlatformStatisRespDTO("2019-12-27","userCount","300"),new BiPlatformStatisRespDTO("2019-12-27","friendsCount","400")));
    platformIncomeRespDTO1.setStatisData(data1);


//拼装第二个数据---------------------------------------------------------------------
final PlatformIncomeRespDTO platformIncomeRespDTO2 = new PlatformIncomeRespDTO();
    platformIncomeRespDTO2.setPlatformNickName("bbb");
//拼装时间维度
    platformIncomeRespDTO2.setStatisDate(Lists.newArrayList("2019-12-26","2019-12-27"));
//拼装头信息
    Map<String, PlatformStatisParamRespData> paramInfo2=new HashMap<>();
    paramInfo2.put("userCount", new PlatformStatisParamRespData("用户数","userCount","用户信息"));
    paramInfo2.put("friendsCount", new PlatformStatisParamRespData("好友数","friendsCount","好友信息"));
    platformIncomeRespDTO2.setParamInfo(paramInfo2);

//拼装数据
final ArrayList<List<BiPlatformStatisRespDTO>> data2 = Lists.newArrayList();
    data2.add(Lists.newArrayList(new BiPlatformStatisRespDTO("2019-12-26","userCount","500"),new BiPlatformStatisRespDTO("2019-12-26","friendsCount","600")));
    data2.add(Lists.newArrayList(new BiPlatformStatisRespDTO("2019-12-27","userCount","700"),new BiPlatformStatisRespDTO("2019-12-27","friendsCount","800")));
    platformIncomeRespDTO2.setStatisData(data2);

final ArrayList<PlatformIncomeRespDTO> platformIncomeRespDTOS = Lists.newArrayList(platformIncomeRespDTO1, platformIncomeRespDTO2);
    System.out.println(JSONObject.toJSONString(platformIncomeRespDTOS));

//拼装列头
    List<ExcelExportEntity> colList = dynamicNewAddExcel(paramInfo2);

//数据拼装
    List<Map<String, Object>> list = dynamicListDataByKey(platformIncomeRespDTOS);

//文件名称
final Workbook workbook = ExcelExportUtil.exportExcel(new ExportParams(), colList, list);

//此功能与【拼装列头】中的 platformXh.setMergeVertical(true);功能效果一样,可直接使用 platformXh.setMergeVertical(true);进行纵向合并
//动态合并纵列[mergeMap key列索引(从0开始),value依赖的列,没有传空,startRow 开始行(从零开始)]
//Map<Integer, int[]> mer = new HashMap<>();
//mer.put(0, new int[]{});
//PoiMergeCellUtil.mergeCells(workbook.getSheetAt(0), mer, 1);

final FileOutputStream fileOutputStream = new FileOutputStream("C:\\Users\\Administrator\\Desktop\\1.xls");
//导出excel
    downLoadExcel(null, fileOutputStream, workbook);
  }




/**
   * @Description: 下载文件
   * @Param: fileName
   * @Param outputStream
   * @Param workbook
   * @return: void
   * @Author: peikunkun
   * @Date: 2019/12/26 0026 上午 10:44
   */
publicstaticvoiddownLoadExcel(String fileName, FileOutputStream outputStream, Workbook workbook)
throws IOException {
try {
      workbook.write(outputStream);
    } catch (IOException e) {
thrownew RuntimeException(e.getMessage());
    } finally {
      outputStream.close();
    }
  }
}