基于POI V3.9解析Excel为map的一个实用工具类

CV即可使用。适用于动态列


import com.alibaba.fastjson.JSON;
import org.apache.poi.hssf.usermodel.HSSFWorkbook;
import org.apache.poi.ss.usermodel.Cell;
import org.apache.poi.ss.usermodel.Row;
import org.apache.poi.ss.usermodel.Sheet;
import org.apache.poi.ss.usermodel.Workbook;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import java.io.File;
import java.io.FileInputStream;
import java.io.InputStream;
import java.text.DecimalFormat;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.logging.Logger;

/**
 *  Excel文件流 -->  List <Map<String,Object>>  对象
 想直接转成java bean的朋友可以使用fastjson将  List<Map<String,Object>>转成bean对象
 *
 */



public class ImportExcelUtil {
    
    



    private final static String excel2003L = ".xls"; // 2003- 版本的excel
    private final static String excel2007U = ".xlsx"; // 2007+ 版本的excel

    /**
     * 将流中的Excel数据转成List<Map>
     *
     * @param in
     *            输入流
     * @param fileName
     *            文件名(判断Excel版本)
     * @param mapping
     *            字段名称映射
     * @return
     * @throws Exception
     */
    public static List<Map<String, Object>> parseExcel(InputStream in, String fileName,
                                                       Map<String, String> mapping) throws Exception {
    
    
        // 根据文件名来创建Excel工作薄
        Workbook work = getWorkbook(in, fileName);
        if (null == work) {
    
    
            throw new Exception("创建Excel工作薄为空!");
        }
        Sheet sheet = null;
        Row row = null;
        Cell cell = null;
        // 返回数据
        List<Map<String, Object>> ls = new ArrayList<Map<String, Object>>();

        // 遍历Excel中所有的sheet
        for (int i = 0; i < work.getNumberOfSheets(); i++) {
    
    
            sheet = work.getSheetAt(i);
            if (sheet == null)
                continue;

            // 取第一行标题
            row = sheet.getRow(0);
            String title[] = null;
            if (row != null) {
    
    
                title = new String[row.getLastCellNum()];

                for (int y = row.getFirstCellNum(); y < row.getLastCellNum(); y++) {
    
    
                    cell = row.getCell(y);
                    title[y] = (String) getCellValue(cell);
                }

            } else
                continue;


            // 遍历当前sheet中的所有行
            for (int j = 1; j < sheet.getLastRowNum() + 1; j++) {
    
    
                row = sheet.getRow(j);
                Map<String, Object> m = new HashMap<String, Object>();
                // 遍历所有的列
                for (int y = row.getFirstCellNum(); y < row.getLastCellNum(); y++) {
    
    
                    cell = row.getCell(y);
                    String key = title[y];
                    // log.info(JSON.toJSONString(key));
                    m.put(mapping.get(key), getCellValue(cell));
                }
                ls.add(m);
            }

        }
        return ls;
    }

    /**
     * 描述:根据文件后缀,自适应上传文件的版本
     *
     * @param inStr
     *            ,fileName
     * @return
     * @throws Exception
     */
    public static Workbook getWorkbook(InputStream inStr, String fileName) throws Exception {
    
    
        Workbook wb = null;
        String fileType = fileName.substring(fileName.lastIndexOf("."));
        if (excel2003L.equals(fileType)) {
    
    
            wb = new HSSFWorkbook(inStr); // 2003-
        } else if (excel2007U.equals(fileType)) {
    
    
            wb = new XSSFWorkbook(inStr); // 2007+
        } else {
    
    
            throw new Exception("解析的文件格式有误!");
        }
        return wb;
    }

    /**
     * 描述:对表格中数值进行格式化
     *
     * @param cell
     * @return
     */
    public static Object getCellValue(Cell cell) {
    
    
        Object value = null;
        DecimalFormat df = new DecimalFormat("0"); // 格式化number String字符
        SimpleDateFormat sdf = new SimpleDateFormat("yyy-MM-dd"); // 日期格式化
        DecimalFormat df2 = new DecimalFormat("0"); // 格式化数字

        if (cell != null){
    
    
            switch (cell.getCellType()) {
    
    
                case Cell.CELL_TYPE_STRING:
                    value = cell.getRichStringCellValue().getString();
                    break;
                case Cell.CELL_TYPE_NUMERIC:
                    if ("General".equals(cell.getCellStyle().getDataFormatString())) {
    
    
                        value = df.format(cell.getNumericCellValue());
                    } else if ("m/d/yy".equals(cell.getCellStyle().getDataFormatString())) {
    
    
                        value = sdf.format(cell.getDateCellValue());
                    } else {
    
    
                        value = df2.format(cell.getNumericCellValue());
                    }
                    break;
                case Cell.CELL_TYPE_BOOLEAN:
                    value = cell.getBooleanCellValue();
                    break;
                case Cell.CELL_TYPE_BLANK:
                    value = "";
                    break;
                default:
                    break;
            }
        }
        return value;
    }

    public static void main(String[] args) throws Exception {
    
    
        File file = new File("E:\\test.xlsx");
        FileInputStream fis = new FileInputStream(file);
        Map<String, String> m = new HashMap<String, String>();
        m.put("工艺编号", "num");
        m.put("工况名称", "stateName");
        m.put("工艺名称", "name");
        m.put("工艺说明", "describe");
        m.put("工艺", "craft");
        List<Map<String, Object>> ls = parseExcel(fis, file.getName(), m);
        System.out.println(JSON.toJSONString(ls));
    }
}



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Origin blog.csdn.net/xiangjunyes/article/details/121518667