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> </html>
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