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Js-spark-md5 的一种使用方式 可以配合drop-zone使用
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function getFileMd5 ( file ) { | |
var dfd = jQuery.Deferred(); | |
/** | |
* reference: | |
* https://github.com/satazor/SparkMD5 | |
*/ | |
var blobSlice = File.prototype.slice || File.prototype.mozSlice || File.prototype.webkitSlice, | |
chunkSize = 2097152, // Read in chunks of 2MB | |
chunks = Math.ceil(file.size / chunkSize), | |
currentChunk = 0, | |
spark = new SparkMD5.ArrayBuffer(), | |
fileReader = new FileReader(); | |
fileReader.onload = function (e) { | |
dfd.notify('read chunk # ' + (currentChunk + 1) + ' of ' + chunks); | |
spark.append(e.target.result); // Append array buffer | |
currentChunk++; | |
if (currentChunk < chunks) { | |
loadNext(); | |
} else { | |
dfd.resolve( spark.end() ); | |
} | |
}; | |
fileReader.onerror = function () { | |
dfd.reject('oops, something went wrong.'); | |
}; | |
var loadNext = function() { | |
var start = currentChunk * chunkSize, | |
end = ((start + chunkSize) >= file.size) ? file.size : start + chunkSize; | |
fileReader.readAsArrayBuffer(blobSlice.call(file, start, end)); | |
}; | |
loadNext(); | |
return dfd.promise(); | |
} |
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