图片上传功能是我们web里面经常用到的,获得的方式也有很多种,这里我用的是request.getInputStream()获取文件流的方式。想要获取文件流有两种方式,附上代码

int length = request.getContentLength();//获取请求参数长度。
byte[] bytes = new byte[length];//定义数组,长度为请求参数的长度
DataInputStream dis = new DataInputStream(request.getInputStream);//获取请求内容,转成数据输入流
int readcount = 0;//定义输入流读取数
while(readcount < length){
int aa= dis.read(bytes,readcount,length); //读取输入流,放入bytes数组,返回每次读取的数量
readcount = aa + readcount; //下一次的读取开始从readcount开始
}
//读完之后bytes就是输入流的字节数组,将其转为字符串就能看到
String bb = new String(bytes,"UTF-8");

上面这种是利用读取输入流的方式,也可以用写入字节输入流的方式获取,就不需要获取请求长度了

DataInputStream dis = new DataInputStream(request.getInputStream());
ByteArrayOutputStream baot = new ByteArrayOutputStream();
byte[] bytes = new byte[1024]; //定义一个数组 用来读取
int n = 0;//每次读取输入流的量
while((n=dis.read(bytes))!=-1){
baot.write(bytes); //将读取的字节流写入字节输出流
}
byte[] outbyte = boat.toByteArray();//将字节输出流转为自己数组。
String bb = new String(outbyte,"UTF-8");

这两种方式都能获取传输的内容,但有两点一定要注意一下,最开始在获取的时候只能获取到文件的名字却没有文件的内容,这里附上测试用的前端代码:

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" alt="" />

上网查了一下,有的人是input标签里面没有name属性会导致这个问题,但是我并不是没有name标签。继续查是这样的:

aaarticlea/png;base64,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" alt="" />

所以我觉得肯定是缺少了发送类型所以在form标签中加入了enctype='multipart/form-data',果然可以获取内容了。

然后就是第二个问题,也是我们通过request.getInputStream()方法获取文件的话,获取的内容不只是只有文件的,即使你表单中只有一个file标签。刚开始我就是犯了这个错误,用拿到的byte数组直接输入或者转成文件都是显示不出来,后来才意识到,拿到了inputStream的bytes还要把文件的内容从中剥离出来才可以。这里提供一个方法,具体实现过程还没有细研究,先附上之后再细看

/**
* 取得图片数据
*
* @param requestData
* @param contentType
* @return
* @throws IOException
*/
private byte[] getImgData(byte[] requestData, String contentType)
throws IOException {
String txtBody = new String(requestData, "GBK");
if (!txtBody.contains("image/jpg") && !txtBody.contains("image/jpeg")&& !txtBody.contains("jpg")) {
return null;
}
String boundarytext = contentType.substring(
contentType.lastIndexOf("=") + 1, contentType.length());
// 取得实际上传文件的起始与结束位置
int pos = txtBody.indexOf("filename=\"");
pos = txtBody.indexOf("\n", pos) + 1;
pos = txtBody.indexOf("\n", pos) + 1;
pos = txtBody.indexOf("\n", pos) + 1;
// 文件描述信息后就文件内容,直到为文件边界为止,从pos开始找边界
int boundaryLoc = txtBody.indexOf(boundarytext, pos) - 4;
ByteArrayOutputStream realdatas = null;
try {
int begin = ((txtBody.substring(0, pos)).getBytes("GBK")).length;
int end = ((txtBody.substring(begin, boundaryLoc)).getBytes("GBK")).length;
realdatas = new ByteArrayOutputStream();
realdatas.write(requestData, begin, end);
return realdatas.toByteArray();
} finally {
if (null != realdatas) {
try {
realdatas.close();
} catch (IOException e) {
logger.error("处理上传图片数据错误:", e);
}
}
}
}

这里的参数就是请求的内容数组bytes以及请求类型,类型的话我们可以通过request.getContentType()方法直接获取,返回值同样是byte数组,返回的byte数组就是我们上传图片的内容了。

返回前端的话,直接利用response就可以。

OutputStream os = response.getOutputStream();
os.write(bytes);

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