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    <p>@StoneHeart</p> <p>I would go here with EAV and MVC all the way.</p> <p>@Bill Karvin</p> <blockquote> <p>Here are some of the disadvantages of EAV:</p> <pre><code>No way to make a column mandatory (equivalent of NOT NULL). No way to use SQL data types to validate entries. No way to ensure that attribute names are spelled consistently. No way to put a foreign key on the values of any given attribute, e.g. </code></pre> <p>for a lookup table.</p> </blockquote> <p>All those things that you have mentioned here:</p> <ul> <li>data validation</li> <li>attribute names spelling validation</li> <li>mandatory columns/fields</li> <li>handling the destruction of dependent attributes</li> </ul> <p>in my opinion don't belong in a database at all because none of databases are capable of handling those interactions and requirements on a proper level as a programming language of an application does.</p> <p>In my opinion using a database in this way is like using a rock to hammer a nail. You can do it with a rock but aren't you suppose to use a hammer which is more precise and specifically designed for this sort of activity ?</p> <blockquote> <p>Fetching results in a conventional tabular layout is complex and expensive, because to get attributes from multiple rows you need to do JOIN for each attribute.</p> </blockquote> <p>This problem can be solved by making few queries on partial data and processing them into tabular layout with your application. Even if you have 600GB of product data you can process it in batches if you require data from every single row in this table.</p> <p>Going further If you would like to improve the performance of the queries you can select certain operations like for e.g. reporting or global text search and prepare for them index tables which would store required data and would be regenerated periodically, lets say every 30 minutes.</p> <p>You don't even need to be concerned with the cost of extra data storage because it gets cheaper and cheaper every day.</p> <p>If you would still be concerned with performance of operations done by the application, you can always use Erlang, C++, Go Language to pre-process the data and later on just process the optimised data further in your main app.</p>
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    1. POHow to design a product table for many kinds of product where each product has many parameters
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