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SparkMD5

SparkMD5 is a fast md5 implementation of the MD5 algorithm. This script is based in the JKM md5 library which is the fastest algorithm around. This is most suitable for browser usage, because nodejs version might be faster.

NOTE: Please disable Firebug while performing the test!

  Firebug consumes a lot of memory and CPU and slows the test by a great margin.

Demo

Improvements over the JKM md5 library

Strings are converted to utf8, like most server side algorithms
Fix computation for large amounts of data (overflow)
Incremental md5 (see bellow)
Support for array buffers (typed arrays)
Functionality wrapped in a closure, to avoid global assignments
Object oriented library
CommonJS (it can be used in node) and AMD integration
Code passed through JSHint and JSCS

Incremental md5 performs a lot better for hashing large amounts of data, such as files. One could read files in chunks, using the FileReader & Blob’s, and append each chunk for md5 hashing while keeping memory usage low. See example below.

Usage

Normal usage

var hexHash = SparkMD5.hash('Hi there');        // hex hash
var rawHash = SparkMD5.hash('Hi there', true);  // OR raw hash (binary string)

Incremental usage

var spark = new SparkMD5();
spark.append('Hi');
spark.append(' there');
var hexHash = spark.end();                      // hex hash
var rawHash = spark.end(true);                  // OR raw hash (binary string)

Hash a file incrementally

NOTE: If you test the code bellow using the file:// protocol in chrome you must start the browser with -allow-file-access-from-files argument.

  Please see: http://code.google.com/p/chromium/issues/detail?id=60889

document.getElementById('file').addEventListener('change', function () {
    var blobSlice = File.prototype.slice || File.prototype.mozSlice || File.prototype.webkitSlice,
        file = this.files[0],
        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) {
        console.log('read chunk nr', currentChunk + 1, 'of', chunks);
        spark.append(e.target.result);                   // Append array buffer
        currentChunk++;

        if (currentChunk < chunks) {
            loadNext();
        } else {
            console.log('finished loading');
            console.info('computed hash', spark.end());  // Compute hash
        }
    };

    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();
});

You can see some more examples in the test folder.

Documentation

SparkMD5 class

SparkMD5#append(str)

Appends a string, encoding it to UTF8 if necessary.

SparkMD5#appendBinary(str)

Appends a binary string (e.g.: string returned from the deprecated readAsBinaryString).

SparkMD5#end(raw)

Finishes the computation of the md5, returning the hex result. If raw is true, the result as a binary string will be returned instead.

SparkMD5#reset()

Resets the internal state of the computation.

SparkMD5#getState()

Returns an object representing the internal computation state. You can pass this state to setState(). This feature is useful to resume an incremental md5.

SparkMD5#setState(state)

Sets the internal computation state. See: getState().

SparkMD5#destroy()

Releases memory used by the incremental buffer and other additional resources.

SparkMD5.hash(str, raw)

Hashes a string directly, returning the hex result. If raw is true, the result as a binary string will be returned instead. Note that this function is static.

SparkMD5.hashBinary(str, raw)

Hashes a binary string directly (e.g.: string returned from the deprecated readAsBinaryString), returning the hex result. If raw is true, the result as a binary string will be returned instead. Note that this function is static.

SparkMD5.ArrayBuffer class

SparkMD5.ArrayBuffer#append(arr)

Appends an array buffer.

SparkMD5.ArrayBuffer#end(raw)