工程结构
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*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" 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1.生成一个文件到指定文件夹下
//产生一个唯一的名字
this.setFileName(String.valueOf(System.currentTimeMillis()));
String path = ServletActionContext.getServletContext().getRealPath("/template/WordExportTemplate");
//工程下的完整路径名
String filepath = path +"\\" + fileName + ".doc"; //写入文件
Writer out = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(filePath,true), "utf-8"), 10240);
out.write(" ");
2.将指定文件下的文件输出到客户端(将上面产生的文件输出)
public InputStream getInputStream() throws Exception {
create();
String path = ServletActionContext.getServletContext().getRealPath("/template/WordExportTemplate");
String filepath = path +"\\" + fileName + ".doc";
//完整的路径名
File file = new File(filepath);
//只用返回一个输入流
return FileUtils.openInputStream(file);
}
3.将客户端上传的文件以特定名字存到指定文件夹下:
public String execute() throws Exception{ ServletContext servletContext = ServletActionContext.getServletContext();
// fileNameFileName表示文件上传时候的名字,也可以自己用UUID定义一个新的名字
String dir = servletContext.getRealPath("/template/ExcelImportTemplate/"+fileNameFileName);
System.out.println(dir);
// 文件输出流,写到dir指定的目录与名字
FileOutputStream outputStream = new FileOutputStream(dir);
// 打开上传的文件的输入流
FileInputStream inputStream = new FileInputStream(fileName);
byte[] buffer = new byte[1024];
int len = 0;
// 从此输入流中将最多 b.length 个字节的数据读入一个 byte 数组中.读入缓冲区的字节总数,如果因为已经到达文件末尾而没有更多的数据,则返回 -1。
while((len = inputStream.read(buffer))!=-1){
// 将指定 byte 数组中从偏移量 off 开始的 len 个字节写入此文件输出流。
outputStream.write(buffer, 0, len);
}
inputStream.close();
outputStream.close();
return SUCCESS;
}
4.读取指定文件夹下指定名字的文件:
ServletContext servletContext = ServletActionContext.getServletContext();
// fileNameFileName表示文件上传时候的名字,也可以自己用UUID定义一个新的名字
String dir = servletContext.getRealPath("/template/ExcelImportTemplate/"+fileNameFileName);
File file = new File(dir);
FileInputStream openInputStream = FileUtils.openInputStream(file);
HSSFWorkbook workbook = new HSSFWorkbook(openInputStream);
5. FileInputStream FileOutputStream是类。可以直接读取与写。
构造方法
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" 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" alt="" />
例如:
public InputStream getInputStream() throws Exception {
create();
String path = ServletActionContext.getServletContext().getRealPath("/template/ExcelExportTemplate");
String filepath = path +"\\" + fileName + ".xls";
File file = new File(filepath);
//只用返回一个输入流
return FileUtils.openInputStream(file);
}
String path = ServletActionContext.getServletContext().getRealPath("/template"); File tempFile = new File(path, templateName + ".xls");
tempFile.delete();
tempFile.createNewFile();
FileOutputStream stream = FileUtils.openOutputStream(tempFile);
ServletContext servletContext = ServletActionContext.getServletContext();
// fileNameFileName表示文件上传时候的名字,也可以自己用UUID定义一个新的名字
String dir = servletContext.getRealPath("/template/ExcelImportTemplate/"+fileName);
4 FileOutputStream outputStream = new FileOutputStream(dir);