easypoi導出動態表頭excel

easypoi導出動態表頭excel

1: springBoot項目maven依賴：

 

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

 根據自己的poi版本選擇

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

 

 

測試導出(數據組裝如下)：

@Test
        public void dynaCol() {
        try {
            List<ExcelExportEntity> colList = new ArrayList<ExcelExportEntity>();
            ExcelExportEntity colEntity = new ExcelExportEntity("商品名稱", "title");
            colEntity.setNeedMerge(true);
            colList.add(colEntity);
 
            colEntity = new ExcelExportEntity("供應商", "supplier");
            colEntity.setNeedMerge(true);
            colList.add(colEntity);
 
            ExcelExportEntity deliColGroup = new ExcelExportEntity("得力", "deli");
            List<ExcelExportEntity> deliColList = new ArrayList<ExcelExportEntity>();
            deliColList.add(new ExcelExportEntity("市場價", "orgPrice"));
            deliColList.add(new ExcelExportEntity("專區價", "salePrice"));
            deliColGroup.setList(deliColList);
            colList.add(deliColGroup);
 
            ExcelExportEntity jdColGroup = new ExcelExportEntity("京東", "jd");
            List<ExcelExportEntity> jdColList = new ArrayList<ExcelExportEntity>();
            jdColList.add(new ExcelExportEntity("市場價", "orgPrice"));
            jdColList.add(new ExcelExportEntity("專區價", "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", "名稱." + i);
                valMap.put("supplier", "供應商." + 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.市場價." + j);
                    deliValMap.put("salePrice", "得力.專區價." + 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", "京東.市場價." + j);
                    jdValMap.put("salePrice", "京東.專區價." + j);
                    jdDetailList.add(jdValMap);
                }
                valMap.put("jd", jdDetailList);
 
                list.add(valMap);
            }
 
            Workbook workbook = ExcelExportUtil.exportExcel(new ExportParams("價格分析表", "數據"), colList,
                    list);
            FileOutputStream fos = new FileOutputStream("D:/價格分析表.tt.xls");
            workbook.write(fos);
            fos.close();
        } catch (FileNotFoundException e) {
            e.printStackTrace();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

 

導出結果圖：

 

多sheet導出（數據組裝） 

public String export(){

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

            // 創建參數對象（用來設定excel得sheet得內容等信息）
            ExportParams deptExportParams = new ExportParams();
            // 設置sheet得名稱
            deptExportParams.setSheetName("員工報表1");
            // 創建sheet1使用得map
            Map<String, Object> deptExportMap = new HashMap<>();
            // title的參數為ExportParams類型，目前僅僅在ExportParams中設置了sheetName
            deptExportMap.put("title", deptExportParams);
            // 模版導出對應得實體類型
            deptExportMap.put("entity", DeptUtil.class);
            // sheet中要填充得數據
            deptExportMap.put("data", exportList);

            ExportParams empExportParams = new ExportParams();
            empExportParams.setSheetName("員工報表2");
            // 創建sheet2使用得map
            Map<String, Object> empExportMap = new HashMap<>();
            empExportMap.put("title", empExportParams);
            empExportMap.put("entity", DeptUtil.class);
            empExportMap.put("data", exportList);

            // 將sheet1、sheet2、sheet3使用得map進行包裝
            List<Map<String, Object>> sheetsList = new ArrayList<>();
            sheetsList.add(deptExportMap);
            sheetsList.add(empExportMap);
            // 執行方法
            workBook = ExcelExportUtil.exportExcel(sheetsList, ExcelType.HSSF);
            fileName = URLEncoder.encode("員工報表導出", "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";
    }

 

什么場景該用哪個方法?

- 導出 1.正規excel導出 (格式簡單,數據量可以,5W以內吧) 注解方式: ExcelExportUtil.exportExcel(ExportParams entity, Class<?> pojoClass,Collection<?> dataSet) 2.不定多少列,但是格式依然簡單數據庫不大 自定義方式: ExcelExportUtil.exportExcel(ExportParams entity, List<ExcelExportEntity> entityList,Collection<?> dataSet) 3.數據量大超過5W,還在100W以內 注解方式 ExcelExportUtil.exportBigExcel(ExportParams entity, Class<?> pojoClass,IExcelExportServer server, Object queryParams) 自定義方式: ExcelExportUtil.exportBigExcel(ExportParams entity, List<ExcelExportEntity> excelParams,IExcelExportServer server, Object queryParams) 4.樣式復雜,數據量盡量別大 模板導出 ExcelExportUtil.exportExcel(TemplateExportParams params, Map<String, Object> map) 5.一次導出多個風格不一致的sheet 模板導出 ExcelExportUtil.exportExcel(Map<Integer, Map<String, Object>> map,TemplateExportParams params) 6.一個模板但是要導出非常多份 模板導出 ExcelExportUtil.exportExcelClone(Map<Integer, List<Map<String, Object>>> map,TemplateExportParams params) 7.模板無法滿足你的自定義,試試html 自己構造html,然后我給你轉成excel ExcelXorHtmlUtil.htmlToExcel(String html, ExcelType type) 8.數據量過百萬級了.放棄excel吧,csv導出 注解方式: CsvExportUtil.exportCsv(CsvExportParams params, Class<?> pojoClass, OutputStream outputStream) 自定義方式: CsvExportUtil.exportCsv(CsvExportParams params, List<ExcelExportEntity> entityList, OutputStream outputStream) 9.word導出 模板導出: WordExportUtil.exportWord07(String url, Map<String, Object> map) 10.PDF導出 模板導出: TODO - 導入 如果想提高性能 ImportParams 的concurrentTask 可以幫助並發導入,僅單行,最小1000 excel有單個的那種特殊讀取,readSingleCell 參數可以支持 1. 不需要檢驗,數據量不大(5W以內) 注解或者MAP: ExcelImportUtil.importExcel(File file, Class<?> pojoClass, ImportParams params) 2. 需要導入,數據量不大 注解或者MAP: ExcelImportUtil.importExcelMore(InputStream inputstream, Class<?> pojoClass, ImportParams params) 3. 數據量大了,或者你有特別多的導入操作,內存比較少,僅支持單行 SAX方式 ExcelImportUtil.importExcelBySax(InputStream inputstream, Class<?> pojoClass, ImportParams params, IReadHandler handler) 4. 數據量超過EXCEL限制,CSV讀取 小數據量: CsvImportUtil.importCsv(InputStream inputstream, Class<?> pojoClass,CsvImportParams params) 大數據量: CsvImportUtil.importCsv(InputStream inputstream, Class<?> pojoClass,CsvImportParams params, IReadHandler readHandler)

 

 

 

 

 

 

 

 參考：

使用教程：

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

http://easypoi.mydoc.io/

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

鏈接：https://pan.baidu.com/s/1gBHBI4Lx-roEXrVwvzaBxQ
提取碼：dbht

測試項目: 

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

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