We are now about 3 months into our project using LINQ to SQL. Our project is a Winforms app using SQL Server 2005 (LINQ to SQL only works with SQL Server). We are planning on moving to an n-tier system with a WCF service layer, but for now our application talks directly to the database. Even though we don’t have the service layer in there yet, we’re architecting the system as if we had the service layer in there so we’re having many of the same issues that we will have when actually have the service layer.
Microsoft hasn’t always been known for stellar 1.0 releases (e.g. Vista, the Zune, etc.). When it comes to something that’s in the .NET Framework, I had a little more faith because it’s a little harder for them to go back and fix something if they screw it up. I figured that because of that, they’ll make sure that they get it right.
LINQ to SQL is not complete. There are some issues that Microsoft knows about that LINQ to SQL doesn’t currently handle. None of these issues are show-stoppers. While we’ve had to jump through some hoops to get around these issues, but we’ve been able to do everything that we’ve needed to do. I’ll get into more detail on the hoop-jumping in later posts.
Even with all of these issues, I give LINQ to SQL a rousing endorsement. I’ve always been an ORM fan, and I’ve used Nhibernate on several projects.
When we started our project, we inherited a legacy database that has been developed over the last 10 years. There are some interesting things in the database, such as numerics being used as primary keys, tables that aren’t normalized, and spotty referential integrity.
For the first week, three of us dragged all of the tables onto the LINQ to SQL designer and renamed all the properties to more friendly names. This was a fairly painless process. Now we had all of our entity objects created and ready to go.
Well, almost. We created a BusinessEntityBase class and all of the entity objects derive from this class. We do this by creating partial classes that match up with the classes generated by LINQ to SQL (all of the classes generated by LINQ to SQL are partial classes) and specifying that those classes derive from BusinessEntityBase. We don’t have much in the BusinessEntityBase class — the main thing in there is an abstract Id property that each entity must override to specify the value of the primary key. We use this to keep track of whether an entity object is unsaved or not.
At this point, we were ready to start working! All of our entity objects were generated for us. Contrast this with Nhibernate, where we had to write (or generate) all of our entity objects and the Nhibernate mapping files. It takes most people a long time to figure out how to write those Nhibernate mapping files!
Working with LINQ
“LINQ” is the general term for the syntax that we now use to write queries. These queries can be executed against a database (LINQ to SQL), a collection (LINQ to Objects), and various other things (LINQ to Amazon).
The LINQ syntax and particularly lambda expressions were very foreign concepts at first. You’re just not used to using those types of things in C# code. Then one day is just clicks, and you start discovering all kinds of new ways to use LINQ queries and lambda expressions.
Personally, I think lambda expressions are more revolutionary than the LINQ syntax. They don’t provide you with anything that you couldn’t do in .NET 2.0 with anonymous delegates, but now the syntax is much more concise. You can do what you want to do in fewer lines of code, which also makes for more readable code. Here’s an example of why I like lambda expressions.
Let’s say that I’m working with everyone’s favorite sample database (Northwind) and I want to find a Employee by first name, last name, or both. In the past, you probably wrote a stored procedure that looked like this:
create procedure EmployeeSearch
select EmployeeID, FirstName, LastName, Title, TitleOfCourtesy,
BirthDate, HireDate, Address, City, Region, PostalCode, Country,
HomePhone, Extension, Photo, Notes, ReportsTo, PhotoPath
where (@FirstName is null or FirstName = @FirstName)
and (@LastName is null or LastName = @LastName)
That worked fine, but having to check if the parameters are null is a performance hit in the stored procedure, and someone had to write the stored procedure in the first place.
With lambda expressions and LINQ to SQL, you can now do something like this and build your query incrementally:
NorthwindDataContext dc = new NorthwindDataContext();
// We'll start with the entire list of employees.
// Filter the employees by first name
employees = employees.Where(e => e.FirstName == firstName);
// Filter the employees by last name
employees = employees.Where(e => e.LastName == lastName);
Why is this better?
- We didn’t have to write a separate stored procedure.
- The generated SQL code won’t have to check for NULL parameters passed into a stored procedure.
- This code is much more testable and easier to read than a stored procedure (IMO).
- This is compiled, type safe code!
Here is the SQL code that LINQ to SQL runs as a result of this method:
SELECT [t0].[EmployeeID], [t0].[LastName], [t0].[FirstName], [t0].[Title], [t0].[TitleOfCourtesy], [t0].[BirthDate], [t0].[HireDate], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[HomePhone], [t0].[Extension], [t0].[Photo], [t0].[Notes], [t0].[ReportsTo], [t0].[PhotoPath]
FROM [dbo].[Employees] AS [t0]
WHERE [t0].[LastName] = @p0
-- @p0: Input NVarChar (Size = 6; Prec = 0; Scale = 0) [Kruger]
I’m not saying that stored procedures are obsolete. There will still be cases where you have a query that is so complex that it’s easier to do it in a stored procedure, or it may not be possible to do it in LINQ at all. But LINQ to SQL is allowing me to scrap many of the stored procedures that I used in the past.
More to come…
Over the next few weeks, I’ll post in more detail about how we are using LINQ to SQL and some of the things we’ve had to do to make it work.