29 May 2007
This article examines the usage of LINQ using SQL by defining data model classes.
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Republished with Permission - Original Article
In Part 1 of my LINQ to SQL blog post series I discussed
"What is LINQ to SQL" and provided a basic overview of some of
the data scenarios it enables.
In my first post I provided code samples that
demonstrated how to perform common data scenarios using LINQ to SQL including:
How to query a database
How to update rows in a database
How to insert and relate multiple rows in a database
How to delete rows in a database
How to call a stored procedure
How to retrieve data with server-side paging
I performed all of these data scenarios using a LINQ to SQL
class model that looked like the one below:
In this second blog post in the series I'm going to go into
more detail on how to create the above LINQ to SQL data model.
LINQ to SQL, the LINQ to SQL Designer, and all of the
features that I'm covering in this blog post series will ship as part of the
.NET 3.5 and Visual Studio "Orcas" release.
You can follow all of the steps below by downloading either Visual Studio "Orcas" Beta 1 or Visual Web Developer Express "Orcas" Beta1.
Both can be installed and used side-by-side with VS 2005.
|Create a New LINQ to SQL Data Model|
You can add a LINQ to SQL data model to an ASP.NET, Class
Library or Windows client project by using the "Add New
Item" option within Visual Studio and selecting the "LINQ to
SQL" item within it:
Selecting the "LINQ to SQL" item will launch the
LINQ to SQL designer, and allow you to model classes that represent a relational
database. It will also create a
strongly-typed "DataContext" class that will have properties
that represent each Table we modeled within the database, as well as methods
for each Stored Procedure we modeled. As I described in Part 1 of this blog post series, the DataContext class
is the main conduit by which we'll query entities from the database as well as
apply changes back to it.
Below is a screen-shot of an empty LINQ to
SQL ORM designer surface, and is what you'll see immediately after creating a
new LINQ to SQL data model:
LINQ to SQL enables you to model classes that map
to/from a database. These classes are typically referred to as
"Entity Classes" and instances of them are called
"Entities". Entity classes map to tables within a
database. The properties of entity classes typically map to the table's
columns. Each instance of an entity class then represents a row within
the database table.
Entity classes defined with LINQ to SQL do not have to
derive from a specific base class, which means that you can have them inherit
from any object you want. All classes created using the LINQ to SQL
designer are defined as "partial classes" - which means that you can
optionally drop into code and add additional properties, methods and events to
Unlike the DataSet/TableAdapter feature provided in VS 2005,
when using the LINQ to SQL designer you do not have to specify the SQL
queries to use when creating your data model and access layer.
Instead, you focus on defining your entity classes, how
they map to/from the database, and the relationships between them. The
LINQ to SQL OR/M implementation will then take care of generating the
appropriate SQL execution logic for you at runtime when you interact and use
the data entities. You can use LINQ query syntax to expressively indicate
how to query your data model in a strongly typed way.
|Creating Entity Classes from a Database|
If you already have a database schema defined, you can
use it to quickly create LINQ to SQL entity classes modeled off of it.
The easiest way to accomplish this is to open up a database
in the Server Explorer within Visual Studio, select the Tables and Views you
want to model in it, and drag/drop them onto the LINQ to SQL designer surface:
When you add the above 2 tables (Categories
and Products) and 1 view (Invoices) from the "Northwind"
database onto the LINQ to SQL designer surface, you'll automatically have the
following three entity classes created for you based on the database schema:
Using the data model classes defined above, I can now run
all of the code samples (expect the SPROC one) described in Part 1 of this LINQ to SQL series. I don't need to
add any additional code or configuration in order to enable these query,
insert, update, delete, and server-side paging scenarios.
|Naming and Pluralization|
One of the things you'll notice when using the LINQ to SQL
designer is that it automatically "pluralizes" the various table
and column names when it creates entity classes based on your database
schema. For example: the "Products" table in our example
above resulted in a "Product" class, and the
"Categories" table resulted in a "Category" class.
This class naming helps make your models consistent with the .NET naming conventions,
and I usually find having the designer fix these up for me really convenient
(especially when adding lots of tables to your model).
If you don't like the name of a class or property that the
designer generates, though, you can always override it and change it to any
name you want. You can do this either by editing the entity/property
name in-line within the designer or by modifying it via the property grid:
The ability to have entity/property/association names be
different from your database schema ends up being very useful in a number
of cases. In particular:
1) When your backend database table/column schema
names change. Because your entity models can have different names
from the backend schema, you can decide to just update your mapping rules and
not update your application or query code to use the new table/column
2) When you have database schema names that aren't very
"clean". For example, rather than use "au_lname" and
"au_fname" for the property names on an entity class, you can
just name them to "LastName" and "FirstName" on your entity
class and develop against that instead (without having to rename the column
names in the database).
When you drag objects from the server explorer onto the LINQ
to SQL designer, Visual Studio will inspect the primary key/foreign
key relationships of the objects, and based on them automatically create
default "relationship associations" between the different entity
classes it creates. For example, when I added both the Products and
Categories tables from Northwind onto my LINQ to SQL designer you can see that
a one to many relationship between the two is inferred (this is
denoted by the arrow in the designer):
The above association will cause cause the Product entity
class to have a "Category" property that developers can use to access
the Category entity for a given Product. It will also cause the Category
class to have a "Products" collection that enables developers to
retrieve all products within that Category.
If you don't like how the designer has modeled or named an
association, you can always override it. Just click on the association
arrow within the designer and access its properties via the property grid to
rename, delete or modify it.
LINQ to SQL enables developers to specify whether the
properties on entities should be prefetched or delay/lazy-loaded on first
access. You can customize the default pre-fetch/delay-load rules for
entity properties by selecting any entity property or association in the designer,
and then within the property-grid set the "Delay Loaded" property to
true or false.
For a simple example of when I'd want to-do this, consider
the "Category" entity class we modeled above. The categories
table inside "Northwind" has a "Picture" column which
stores a (potentially large) binary image of each category, and I only want to
retrieve the binary image from the database when I'm actually using it (and not
when doing a simply query just to list the category names in a list).
I could configure the Picture property to be delay loaded by
selecting it within the LINQ to SQL designer and by settings its Delay Loaded
value in the property grid:
Note: In addition to configuring the default pre-fetch/delay
load semantics on entities, you can also override them via code when you
perform LINQ queries on the entity class (I'll show how to-do this in the next
blog post in this series).
|Using Stored Procedures|
LINQ to SQL allows you to optionally model stored procedures
as methods on your DataContext class. For example, assume we've defined
the simple SPROC below to retrieve product information based on a categoryID:
I can use the server explorer within Visual
Studio to drag/drop the SPROC onto the LINQ to SQL designer surface in order to
add a strongly-typed method that will invoke the SPROC. If I drop the
SPROC on top of the "Product" entity in the designer, the LINQ to SQL
designer will declare the SPROC to return an IEnumerable<Product> result:
I can then use either LINQ Query Syntax (which will generate
an adhoc SQL query) or alternatively invoke the SPROC method added above
to retrieve product entities from the database:
|Using SPROCs to Update/Delete/Insert Data|
By default LINQ to SQL will automatically
create the appropriate SQL expressions for you when you insert/update/delete
entities. For example, if you wrote the LINQ to SQL code below to update
some values on a "Product" entity instance:
By default LINQ to SQL would create and
execute the appropriate "UPDATE" statement for you when you submitted
the changes (I'll cover this more in a later blog post on updates).
You can also optionally define and use custom
INSERT, UPDATE, DELETE sprocs instead. To configure these, just click on
an entity class in the LINQ to SQL designer and within its
property-grid click the "..." button on the Delete/Insert/Update
values, and pick a particular SPROC you've defined instead:
What is nice about changing the above setting is that it is
done purely at the mapping layer of LINQ to SQL - which means the update code I
showed earlier continues to work with no modifications required. This
avoids developers using a LINQ to SQL data model from having to
change code even if they later decide to put in a custom SPROC
LINQ to SQL provides a nice, clean way to model the data
layer of your application. Once you've defined your data model you can
easily and efficiently perform queries, inserts, updates and deletes against
Using the built-in LINQ to SQL designer within Visual Studio
and Visual Web Developer Express you can create and manage your data models for
LINQ to SQL extremely fast. The LINQ to SQL designer also provides a lot
of flexibility that enables you to customize the default behavior and
override/extend the system to meet your specific needs.
In upcoming posts I'll be using the data model we
created above to drill into querying, inserts, updates and deletes
further. In the update, insert and delete posts I'll also discuss how to
add custom business/data validation logic to the entities we designed above to
perform additional validation logic.
Mike Taulty also has a number of great LINQ to SQL videos
that I recommend checking out here. These provide a great way to learn by watching
someone walkthrough using LINQ to SQL in action.
Hope this helps,
LInq to Sql
2010-11-08 4:24:52 AM
hi ...this example was good...your practical approach was good..
2010-04-08 6:49:21 PM
hi would it be possible to downlad the application?
2009-03-18 6:09:56 AM
can u give any other implementation