easypoi导出动态表头excel

easypoi导出动态表头excel

1: springBoot项目maven依赖：

 <dependency>
         <groupId>cn.afterturn</groupId>
         <artifactId>easypoi-spring-boot-starter</artifactId>
         <version>4.1.2</version>
  </dependency>

 根据自己的poi版本选择

 <dependency>
    <groupId>cn.afterturn</groupId>
    <artifactId>easypoi-spring-boot-starter</artifactId>
    <version>3.3.0</version>
 </dependency>

测试导出(数据组装如下)：

@Test
        public void dynaCol() {
        try {
            List<ExcelExportEntity> colList = new ArrayList<ExcelExportEntity>();
            ExcelExportEntity colEntity = new ExcelExportEntity("商品名称", "title");
            colEntity.setNeedMerge(true);
            colList.add(colEntity);
 
            colEntity = new ExcelExportEntity("供应商", "supplier");
            colEntity.setNeedMerge(true);
            colList.add(colEntity);
 
            ExcelExportEntity deliColGroup = new ExcelExportEntity("得力", "deli");
            List<ExcelExportEntity> deliColList = new ArrayList<ExcelExportEntity>();
            deliColList.add(new ExcelExportEntity("市场价", "orgPrice"));
            deliColList.add(new ExcelExportEntity("专区价", "salePrice"));
            deliColGroup.setList(deliColList);
            colList.add(deliColGroup);
 
            ExcelExportEntity jdColGroup = new ExcelExportEntity("京东", "jd");
            List<ExcelExportEntity> jdColList = new ArrayList<ExcelExportEntity>();
            jdColList.add(new ExcelExportEntity("市场价", "orgPrice"));
            jdColList.add(new ExcelExportEntity("专区价", "salePrice"));
            jdColGroup.setList(jdColList);
            colList.add(jdColGroup);
 
 
            List<Map<String, Object>> list = new ArrayList<Map<String, Object>>();
            for (int i = 0; i < 10; i++) {
                Map<String, Object> valMap = new HashMap<String, Object>();
                valMap.put("title", "名称." + i);
                valMap.put("supplier", "供应商." + i);
 
                List<Map<String, Object>> deliDetailList = new ArrayList<Map<String, Object>>();
                for (int j = 0; j < 3; j++) {
                    Map<String, Object> deliValMap = new HashMap<String, Object>();
                    deliValMap.put("orgPrice", "得力.市场价." + j);
                    deliValMap.put("salePrice", "得力.专区价." + j);
                    deliDetailList.add(deliValMap);
                }
                valMap.put("deli", deliDetailList);
 
                List<Map<String, Object>> jdDetailList = new ArrayList<Map<String, Object>>();
                for (int j = 0; j < 2; j++) {
                    Map<String, Object> jdValMap = new HashMap<String, Object>();
                    jdValMap.put("orgPrice", "京东.市场价." + j);
                    jdValMap.put("salePrice", "京东.专区价." + j);
                    jdDetailList.add(jdValMap);
                }
                valMap.put("jd", jdDetailList);
 
                list.add(valMap);
            }
 
            Workbook workbook = ExcelExportUtil.exportExcel(new ExportParams("价格分析表", "数据"), colList,
                    list);
            FileOutputStream fos = new FileOutputStream("D:/价格分析表.tt.xls");
            workbook.write(fos);
            fos.close();
        } catch (FileNotFoundException e) {
            e.printStackTrace();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

导出结果图：

多sheet导出（数据组装） 

public String export(){

        Workbook workBook = null;
        try {
            List<DeptUtil> exportList = exportService.exportList();
            System.err.println(JSONArray.toJSONString(exportList));

            // 创建参数对象（用来设定excel得sheet得内容等信息）
            ExportParams deptExportParams = new ExportParams();
            // 设置sheet得名称
            deptExportParams.setSheetName("员工报表1");
            // 创建sheet1使用得map
            Map<String, Object> deptExportMap = new HashMap<>();
            // title的参数为ExportParams类型，目前仅仅在ExportParams中设置了sheetName
            deptExportMap.put("title", deptExportParams);
            // 模版导出对应得实体类型
            deptExportMap.put("entity", DeptUtil.class);
            // sheet中要填充得数据
            deptExportMap.put("data", exportList);

            ExportParams empExportParams = new ExportParams();
            empExportParams.setSheetName("员工报表2");
            // 创建sheet2使用得map
            Map<String, Object> empExportMap = new HashMap<>();
            empExportMap.put("title", empExportParams);
            empExportMap.put("entity", DeptUtil.class);
            empExportMap.put("data", exportList);

            // 将sheet1、sheet2、sheet3使用得map进行包装
            List<Map<String, Object>> sheetsList = new ArrayList<>();
            sheetsList.add(deptExportMap);
            sheetsList.add(empExportMap);
            // 执行方法
            workBook = ExcelExportUtil.exportExcel(sheetsList, ExcelType.HSSF);
            fileName = URLEncoder.encode("员工报表导出", "UTF-8");
            ByteArrayOutputStream outputStream = new ByteArrayOutputStream();
            workBook.write(outputStream);
            outputStream.flush();
            byte[] byteArray = outputStream.toByteArray();
            excelStream = new ByteArrayInputStream(byteArray,0,byteArray.length);
            outputStream.close();

        }catch (Exception e){
            e.printStackTrace();
        }finally {
            if(workBook != null) {
                try {
                    workBook.close();
                } catch (IOException e) {
                    e.printStackTrace();
                }
            }
        }
        return "success";
    }

什么场景该用哪个方法?

- 导出
    1.正规excel导出 (格式简单,数据量可以,5W以内吧)
        注解方式:  ExcelExportUtil.exportExcel(ExportParams entity, Class<?> pojoClass,Collection<?> dataSet) 
    2.不定多少列,但是格式依然简单数据库不大
        自定义方式: ExcelExportUtil.exportExcel(ExportParams entity, List<ExcelExportEntity> entityList,Collection<?> dataSet)
    3.数据量大超过5W,还在100W以内
        注解方式 ExcelExportUtil.exportBigExcel(ExportParams entity, Class<?> pojoClass,IExcelExportServer server, Object queryParams)
        自定义方式: ExcelExportUtil.exportBigExcel(ExportParams entity, List<ExcelExportEntity> excelParams,IExcelExportServer server, Object queryParams)
    4.样式复杂,数据量尽量别大
        模板导出 ExcelExportUtil.exportExcel(TemplateExportParams params, Map<String, Object> map)
    5.一次导出多个风格不一致的sheet
        模板导出 ExcelExportUtil.exportExcel(Map<Integer, Map<String, Object>> map,TemplateExportParams params) 
    6.一个模板但是要导出非常多份
        模板导出 ExcelExportUtil.exportExcelClone(Map<Integer, List<Map<String, Object>>> map,TemplateExportParams params)
    7.模板无法满足你的自定义,试试html
        自己构造html,然后我给你转成excel  ExcelXorHtmlUtil.htmlToExcel(String html, ExcelType type)
    8.数据量过百万级了.放弃excel吧,csv导出
        注解方式: CsvExportUtil.exportCsv(CsvExportParams params, Class<?> pojoClass, OutputStream outputStream)
        自定义方式: CsvExportUtil.exportCsv(CsvExportParams params, List<ExcelExportEntity> entityList, OutputStream outputStream)
    9.word导出
        模板导出: WordExportUtil.exportWord07(String url, Map<String, Object> map)
    10.PDF导出
        模板导出: TODO 
- 导入 
    如果想提高性能 ImportParams 的concurrentTask 可以帮助并发导入,仅单行,最小1000
    excel有单个的那种特殊读取,readSingleCell 参数可以支持
    1. 不需要检验,数据量不大(5W以内)
        注解或者MAP: ExcelImportUtil.importExcel(File file, Class<?> pojoClass, ImportParams params)
    2. 需要导入,数据量不大
        注解或者MAP: ExcelImportUtil.importExcelMore(InputStream inputstream, Class<?> pojoClass, ImportParams params)
    3. 数据量大了,或者你有特别多的导入操作,内存比较少,仅支持单行
       SAX方式  ExcelImportUtil.importExcelBySax(InputStream inputstream, Class<?> pojoClass, ImportParams params, IReadHandler handler)
    4. 数据量超过EXCEL限制,CSV读取
        小数据量: CsvImportUtil.importCsv(InputStream inputstream, Class<?> pojoClass,CsvImportParams params)
        大数据量: CsvImportUtil.importCsv(InputStream inputstream, Class<?> pojoClass,CsvImportParams params, IReadHandler readHandler)

 参考：

使用教程：

https://opensource.afterturn.cn/doc/easypoi.html#4

http://easypoi.mydoc.io/

http://doc.wupaas.com/docs/easypoi/easypoi-1c0u4mo8p4ro8

链接：https://pan.baidu.com/s/1gBHBI4Lx-roEXrVwvzaBxQ
提取码：dbht

测试项目: 

http://git.oschina.net/lemur/easypoi-test

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