#Online md5 encoding software
#Online md5 encoding code

This would lead to the hash bM: b = base62Alphabet M = base62Alphabet Improvements The next step is to convert these hashDigits to their corresponding Base62 representation, resulting in a unique hash string:īase62Alphabet = Thus, 100 would lead to 1×62^1 + 38×62^0 using Base62 encoding (hashDigits = ). This can be done quite easily using modulo operation: Consequently, the next step would be to convert it to Base62 encoding. So, let’s say our next unique ID for the string to be shortened is 100. We will make use of this unique ID to create hashes, using Base62 encoding. As previously mentioned, each shortened string will be represented by a unique id (and hash) in the database. Obviously, the underlying algorithm represents the main part of this solution.

) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci `url` varchar(255) COLLATE utf8_unicode_ci NOT NULL, `hash` varchar(100) COLLATE utf8_unicode_ci NOT NULL,

#Online md5 encoding code

Following you find the corresponding SQL code for the schema: Once this check is done and no same url exists we have to add a new entry and based on the last id generated we are going to calculate our hash. if the same url already exists in our database. Of course, whenever an entry should be added it needs to be checked if the same hash already exists, i.e. hash) entry will be identified by a unique id. In this example I’ve decided to use a MySQL database with the following schema: id : INT (primary key, auto increment) hash: VARCHAR (unique) url: VARCHAR Each encoded url (i.e. In order to manage our list of shortened strings and their corresponding hashes we are going to use a database. The encoding schema to be used by this shortening algorithm will be Base 62 encoding, as we are going to use 62 letters. This leads us to certain filtering operations for the input string prior to calculating the hash, but that’s just a matter of programmatic effort that we can handle later on. Thus, there must not exist more than one hash for the same original string and the encoding operation must be deterministic. Of course to achieve this bi-directional property, we need to be able to retrieve the original string based on the hash calculated and additionally, we must be given the same hash for the same string on every attempt. This is an examplary long string to be shortened T4Xza Let’s have a look at the following example string and the (possible) shortened outcome: URL) and a hash:įurthermore, we want this unique hash to be (much) shorter than the original string. What we want to achieve is a unique bi-directional mapping of a given string (e.g. Prior to discussing the source code let’s first break down the theory behind the shortening algorithm using Base 62 encoding. This article presents a simple but effective template for creating a custom string shortening service, based a on proven and widely used algorithm – Base 62 encoding. Thus, a vast range of projects have evolved aiming to implement custom string (URL) shortening solutions.

#Online md5 encoding software

Although they are very handy when it comes to shortening URLs in blog posts and articles oftentimes they can’t be used in proprietary software due to certain copyright and usage restrictions. Today, there already exist numerous URL shortening services, such as tinyurl, bit.ly, qr.cx and many more.