前文其实已经实现了较为复杂的excel导入了，这篇博客就给大家介绍简单的excel表格导入方法

以下是我的excel表格：

以下是我的实体类：

package com.datapojo.bean;import com.baomidou.mybatisplus.annotation.IdType;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModel;
import io.swagger.annotations.ApiModelProperty;
import lombok.Builder;
import lombok.Getter;
import lombok.Setter;import java.io.Serializable;
import java.util.Date;/*** <p>* * </p>** @author yinan* @since 2024-03-08*/
@Getter
@Setter
@Builder
@TableName("data_standard_manage")
@ApiModel(value = "DataStandardManage对象", description = "")
public class DataStandardManage implements Serializable {private static final long serialVersionUID = 1L;@ApiModelProperty("数据库标准id")@TableId(value = "data_id", type = IdType.AUTO)private Integer dataId;@ApiModelProperty("数据标准编号")@TableField("data_standard_code")private String dataStandardCode;@ApiModelProperty("中文名")@TableField("cn_name")private String cnName;@ApiModelProperty("英文名")@TableField("en_name")private String enName;@ApiModelProperty("数据标准说明")@TableField("data_standard_explain")private String dataStandardExplain;@ApiModelProperty("来源机构")@TableField("source_orgnization")private String sourceOrgnization;@ApiModelProperty("数据类型")@TableField("data_standard_type")private String dataStandardType;@ApiModelProperty("数据长度")@TableField("data_standard_length")private Double dataStandardLength;@ApiModelProperty("数据精度")@TableField("data_standard_accuracy")private Double dataStandardAccuracy;@ApiModelProperty("默认值")@TableField("data_standard_default")private String dataStandardDefault;@ApiModelProperty("取值范围的最大值")@TableField("data_standard_value_max")private String dataStandardValueMax;@ApiModelProperty("取值范围的最小值")@TableField("data_standard_value_min")private String dataStandardValueMin;@ApiModelProperty("枚举范围：字典组编码")@TableField("data_standard_enumeration_range")private String dataStandardEnumerationRange;@ApiModelProperty("标准状态（0：未发布  1：已发布 2：已停用）")@TableField("data_standard_status")private Integer dataStandardStatus;@ApiModelProperty("是否为空（0：可为空 1：不为空）")@TableField("data_standard_is_blank")private Integer dataStandardIsBlank;@ApiModelProperty("创建时间")@TableField("create_time")@JsonFormat(pattern = "yyyy-MM-dd hh:mm:ss", timezone = "GMT+8")private Date createTime;@ApiModelProperty("修改数据")@TableField("update_time")@JsonFormat(pattern = "yyyy-MM-dd hh:mm:ss", timezone = "GMT+8")private Date updateTime;}

FileUploadConfig工具类：

public String objectNameFromUploadPath(String filepath) {// 假设filepath是一个完整的URL形式// 首先判断是否为空或者不是一个合法的HTTP/HTTPS URLif (filepath == null || !(filepath.startsWith("http://") || filepath.startsWith("https://"))) {throw new IllegalArgumentException("Invalid file path: " + filepath);}try {// 将文件路径转换成URL对象URL url = new URL(filepath);// 获取URL的路径部分String path = url.getPath();// 我们需要去掉路径前的“/”，因为OSS object name是不带前导“/”的if (path.startsWith("/")) {path = path.substring(1);}// 返回“files/”之后的部分作为object nameint filesIndex = path.indexOf("files/");if (filesIndex != -1) {// 返回 "files/" 后面的部分return path.substring(filesIndex);} else {// 如果路径中不含 "files/"，直接使用路径作为object name，根据具体情况调整return path;}} catch (MalformedURLException e) {throw new IllegalArgumentException("Malformed file path URL: " + filepath, e);}}

这里的filepath路径我是将前端传给我的文件先上传到oss上面然后获取的链接，你也可以上传到自己本地然后获取文件，或者后台私信我给你具体的上传oss的代码。

接下来是具体的service里面的实现方法：

  public R addDataStandardsByExcel(MultipartFile file) throws IOException {
//        String filepath = fileUploadConfig.upload(file);String filepath = "https://yinan-bucket.oss-cn-beijing.aliyuncs.com/files/33ae3fdb-7b9d-46f4-8227-62c0189c08d6.xlsx";String filename = fileUploadConfig.objectNameFromUploadPath(filepath);System.out.println("filepath:" + filepath + "  filename:" + filename);String fileName = file.getOriginalFilename();
//        if (Objects.equals(filepath, "文件上传失败")) {
//            return R.Failed("文件上传失败，无法进行数据导入");
//        }
//        初始化变量boolean notNull = false;List<DataStandardManage> dsmList = new ArrayList<>();
//        InputStream is = fileUploadConfig.download(filename);InputStream is = file.getInputStream();
//        检查文件格式是否正确if (!fileName.matches("^.+\\.(?i)(xls)$") && !fileName.matches("^.+\\.(?i)(xlsx)$")) {
//            自定义异常处理throw new FileNotStandardException(MessageConstant.File_NOT_STANDARD);}Workbook workbook = null;try {// 判断文件是2003格式的Excel还是2007格式的Excelboolean isExcel2003 = true;if (fileName.matches("^.+\\.(?i)(xlsx)$")) {isExcel2003 = false;}
//        创建workbook对象workbook = null;if (isExcel2003) {workbook = new HSSFWorkbook(is);} else {workbook = new XSSFWorkbook(is);}
//        获取第一个工作表Sheet sheet = workbook.getSheetAt(0);
//        判断是否为空if (sheet != null) {notNull = false;} else {throw new FileIsEmptyException(MessageConstant.FILE_IS_EMPTY);}
//        遍历工作表的每一行for (int i = 1; i <= Objects.requireNonNull(sheet).getLastRowNum(); i++) {Row row = sheet.getRow(i);// 检查行是否为空if (row == null) {continue; // 如果为空，跳过该行}DataStandardManage dsm = null;String dsmCnName = row.getCell(0).getStringCellValue();String dsmEnName = row.getCell(1).getStringCellValue();String dsmExplain = row.getCell(2) == null ? null : row.getCell(2).getStringCellValue();Integer dsmIsBlank = Objects.equals(row.getCell(3).getStringCellValue(), "可为空") ? 0 : 1;String dsmSourceOrg = row.getCell(4).getStringCellValue();String dsmDefault = row.getCell(5) == null ? null : row.getCell(5).getStringCellValue();String dsmDataType = row.getCell(6).getStringCellValue();Double dsmLength = row.getCell(7) == null ? null : row.getCell(7).getNumericCellValue();// 格式化科学计数法，取一位整数，如取小数，值如0.0,取小数点后几位就写几个0DecimalFormat df = new DecimalFormat("0");Double dsmAccuracy = ObjectUtils.isEmpty(row.getCell(8).getNumericCellValue()) ? null : row.getCell(7).getNumericCellValue();
//                Integer dsmAccuracy = dsmAccuracyTemp == null ? null : Integer.parseInt(df.format(dsmAccuracyTemp));Double dsmMinTemp = ObjectUtils.isEmpty(row.getCell(9).getNumericCellValue()) ? null : row.getCell(8).getNumericCellValue();String dsmMin = dsmMinTemp == null ? null : df.format(dsmMinTemp);//                String dsmMin=ObjectUtils.isEmpty(row.getCell(9))?null:String.valueOf(row.getCell(9).getNumericCellValue());//使用此方法也可以，但是转换后格式有点不对Double dsmMaxTemp = ObjectUtils.isEmpty(row.getCell(10).getNumericCellValue()) ? null : row.getCell(10).getNumericCellValue();String dsmMax = dsmMaxTemp == null ? null : df.format(dsmMaxTemp);
//                String dsmMax=ObjectUtils.isEmpty(row.getCell(10))?null:String.valueOf(row.getCell(10).getNumericCellValue());String dsmMaBiao = row.getCell(11) == null ? null : row.getCell(11).getStringCellValue();dsm = DataStandardManage.builder().dataStandardCode(RandomUtil.generateRandomNumber("BZ",2)).cnName(dsmCnName).enName(dsmEnName).dataStandardExplain(dsmExplain).sourceOrgnization(dsmSourceOrg).dataStandardType(dsmDataType).dataStandardIsBlank(dsmIsBlank).dataStandardDefault(dsmDefault).dataStandardLength(dsmLength).dataStandardAccuracy(dsmAccuracy).dataStandardValueMin(dsmMin).dataStandardValueMax(dsmMax).dataStandardEnumerationRange(dsmMaBiao).createTime(dateConfig.getDate()).updateTime(dateConfig.getDate()).dataStandardStatus(0).build();dsmList.add(dsm);}for (DataStandardManage dsm : dsmList) {dataStandardManageDao.insert(dsm);System.out.println("插入：" + dsm);}is.close();return R.Success("导入成功");} catch (Exception e) {// 处理文件读取异常e.printStackTrace(); // 这里可以记录日志或者返回相应错误信息return R.Failed("文件读取异常，无法进行数据导入");} finally {// 确保关闭流if (workbook != null) {workbook.close();}is.close();}}

 代码中均做有注释，不懂得可以在评论区进行留言~