代码如下：
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Document</title>
</head>
<body>
<div>
<div>
添加文件
<input type="file" name="" id="fileinput">
</div>
<progress value="0" max="100" style='width:500px;margin-top:20px'></progress>
<div style='margin-top:20px'>
<span id="handler_info" ></span>
</div>
</div>
<script src="Scripts/spark-md5.js"></script>
<script>
function get_filemd5sum(ofile) {
var file = ofile;
var tmp_md5;
var blobSlice = File.prototype.slice || File.prototype.mozSlice || File.prototype.webkitSlice,
// file = this.files[0],
chunkSize = 2 * 1024 * 1024, // Read in chunks of 2MB
chunks = Math.ceil(file.size / chunkSize),
currentChunk = 0,
spark = new SparkMD5.ArrayBuffer(),
fileReader = new FileReader();
fileReader.onload = function(e) {
// console.log('read chunk nr', currentChunk + 1, 'of', chunks);
spark.append(e.target.result); // Append array buffer
currentChunk++;
var md5_progress = Math.floor((currentChunk / chunks) * 100);
console.log(file.name + " 正在处理，请稍等," + "已完成" + md5_progress + "%");
var handler_info = document.getElementById("handler_info");
var progressbar = document.getElementsByClassName("progressbar")[0];
handler_info.innerHTML=file.name + " 正在处理，请稍等," + "已完成" + md5_progress + "%"
progressbar.value =md5_progress;
if (currentChunk < chunks) {
loadNext();
} else {
tmp_md5 = spark.end();
console.log(tmp_md5)
handler_info.innerHTML = file.name + "的MD5值是：" + tmp_md5;
}
};
fileReader.onerror = function() {
console.warn('oops, something went wrong.');
};
function loadNext() {
var start = currentChunk * chunkSize,
end = ((start + chunkSize) >= file.size) ? file.size : start + chunkSize;
fileReader.readAsArrayBuffer(blobSlice.call(file, start, end));
}
loadNext();
}
var uploadfile = document.getElementById('fileinput')
uploadfile.onchange = function(e){
var file = this.files[0];
if(!file) {
alert('请选择文件！');
return false;
}
get_filemd5sum(file)
}
</script>
</body>
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