Entity Framework is Too Slow. What are my options? [closed]

The fact of the matter is that products such as Entity Framework will ALWAYS be slow and inefficient, because they are executing lot more code.

I also find it silly that people are suggesting that one should optimize LINQ queries, look at the SQL generated, use debuggers, pre-compile, take many extra steps, etc. i.e. waste a lot of time. No one says - Simplify! Everyone wants to comlicate things further by taking even more steps (wasting time).

A common sense approach would be not to use EF or LINQ at all. Use plain SQL. There is nothing wrong with it. Just because there is herd mentality among programmers and they feel the urge to use every single new product out there, does not mean that it is good or it will work. Most programmers think if they incorporate every new piece of code released by a large company, it is making them a smarter programmer; not true at all. Smart programming is mostly about how to do more with less headaches, uncertainties, and in the least amount of time. Remember - Time! That is the most important element, so try to find ways not to waste it on solving problems in bad/bloated code written simply to conform with some strange so called 'patterns'

Relax, enjoy life, take a break from coding and stop using extra features, code, products, 'patterns'. Life is short and the life of your code is even shorter, and it is certainly not rocket science. Remove layers such as LINQ, EF and others, and your code will run efficiently, will scale, and yes, it will still be easy to maintain. Too much abstraction is a bad 'pattern'.

And that is the solution to your problem.


You should start by profiling the SQL commands actually issued by the Entity Framework. Depending on your configuration (POCO, Self-Tracking entities) there is a lot room for optimizations. You can debug the SQL commands (which shouldn't differ between debug and release mode) using the ObjectSet<T>.ToTraceString() method. If you encounter a query that requires further optimization you can use some projections to give EF more information about what you trying to accomplish.

Example:

Product product = db.Products.SingleOrDefault(p => p.Id == 10);
// executes SELECT * FROM Products WHERE Id = 10

ProductDto dto = new ProductDto();
foreach (Category category in product.Categories)
// executes SELECT * FROM Categories WHERE ProductId = 10
{
    dto.Categories.Add(new CategoryDto { Name = category.Name });
}

Could be replaced with:

var query = from p in db.Products
            where p.Id == 10
            select new
            {
                p.Name,
                Categories = from c in p.Categories select c.Name
            };
ProductDto dto = new ProductDto();
foreach (var categoryName in query.Single().Categories)
// Executes SELECT p.Id, c.Name FROM Products as p, Categories as c WHERE p.Id = 10 AND p.Id = c.ProductId
{
    dto.Categories.Add(new CategoryDto { Name = categoryName });
}

I just typed that out of my head, so this isn't exactly how it would be executed, but EF actually does some nice optimizations if you tell it everything you know about the query (in this case, that we will need the category-names). But this isn't like eager-loading (db.Products.Include("Categories")) because projections can further reduce the amount of data to load.


One suggestion is to use LINQ to Entity Framework only for single-record CRUD statements.

For more involved queries, searches, reporting, etc, write a stored procedure and add it to the Entity Framework model as described on MSDN.

This is the approach I've taken with a couple of my sites and it seems to be a good compromise between productivity and performance. Entity Framework will not always generate the most efficient SQL for the task at hand. And rather than spending the time to figure out why, writing a stored procedure for the more complex queries actually saves time for me. Once you're familiar with the process, it's not too much of a hassle to add stored procs to your EF model. And of course the benefit of adding it to your model is that you get all that strongly typed goodness that comes from using an ORM.