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如何使用Apache POI从Java的合并单元格读取?

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我有一个.xlsx格式的Excel文件 . 我通过合并单元格来形成各种列来存储数据 . 我正在通过Java Web应用程序读取Excel文件并将其数据保存到数据库(MySQL) . 但是当我从合并的单元格中读取时,我得到的是空值以及存储在列和 Headers 中的内容 . 我正在使用Apache POI . 我的代码是:

public static void excelToDBLogIN() {

    FileInputStream file = null;
    Boolean flag = true;
    ArrayList<String> rows = new ArrayList<String>();
    try {


        // here uploadFolder contains the path to the Login 3.xlsx file

        file = new FileInputStream(new File(uploadFolder + "Login 3.xlsx"));

        //Create Workbook instance holding reference to .xlsx file
        XSSFWorkbook workbook = new XSSFWorkbook(file);

        //Get first/desired sheet from the workbook
        XSSFSheet sheet = workbook.getSheetAt(0);

        //Iterate through each rows one by one
        Iterator<Row> rowIterator = sheet.iterator();


        while (rowIterator.hasNext()) {
            Row row = rowIterator.next();

            //For each row, iterate through all the columns
            Iterator<Cell> cellIterator = row.cellIterator();

            String tuple = "";
            while (cellIterator.hasNext()) {
                Cell cell = cellIterator.next();

                //Check the cell type and format accordingly
                switch (cell.getCellType()) {

                        case Cell.CELL_TYPE_NUMERIC:                            

                        //int value = new BigDecimal(cell.getNumericCellValue()).setScale(0, RoundingMode.HALF_UP).intValue();
                        //tuple = tuple + String.valueOf(value) + "+";

                        DataFormatter objDefaultFormat = new DataFormatter();    

                        String str = objDefaultFormat.formatCellValue(cell);

                        tuple = tuple + str + "+";

                        break;

                    case Cell.CELL_TYPE_STRING:

                        tuple = tuple + cell.getStringCellValue() + "+";

                        break;

                    case Cell.CELL_TYPE_BLANK:                                                        

                        tuple = tuple + "" + "+";

                        break;


                }

            }

            rows.add(tuple);
            flag = true;

        }

    }    


    } catch (Exception e) {

        e.printStackTrace();

    } finally {

        if (file != null) {

            try {
                file.close();
                file = null;
            } catch (Exception e) {

                System.out.println("File closing operation failed");
                e.printStackTrace();
            }
        }                                 

    }

    }

}

我在网上搜索了答案,但没有发现任何相关内容 .

1 回答

  • 8

    以下代码段可能有所帮助 .

    while (rowIterator.hasNext()) {
            Row row = rowIterator.next();
    
            //For each row, iterate through all the columns
            Iterator<Cell> cellIterator = row.cellIterator();
    
            outer:
            while (cellIterator.hasNext()) {
                Cell cell = cellIterator.next();
    
                //will iterate over the Merged cells
                for (int i = 0; i < sheet.getNumMergedRegions(); i++) {
                    CellRangeAddress region = sheet.getMergedRegion(i); //Region of merged cells
    
                    int colIndex = region.getFirstColumn(); //number of columns merged
                    int rowNum = region.getFirstRow();      //number of rows merged
                    //check first cell of the region
                    if (rowNum == cell.getRowIndex() && colIndex == cell.getColumnIndex()) {
                        System.out.println(sheet.getRow(rowNum).getCell(colIndex).getStringCellValue());
                        continue outer;
                    }
                }
                //the data in merge cells is always present on the first cell. All other cells(in merged region) are considered blank
                if (cell.getCellType() == Cell.CELL_TYPE_BLANK || cell == null) {
                    continue;
                }
                System.out.println(cell.getStringCellValue());
            }
        }
    

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