Handling Concurrency in LINQ to SQL
Handling concurrency in LINQ to SQL involves ensuring that multiple users or processes can work with the same data without causing conflicts. This is typically done using techniques like optimistic concurrency control, where changes are tracked and conflicts are resolved during data updates. Let's illustrate this with a complete source code example.
Optimistic Concurrency in LINQ to SQL
Suppose you have a simple database table called Products
with columns ProductID
, ProductName
, and UnitsInStock
. You want to allow multiple users to update the stock of a product without conflicts.
Database Table
Assume you have a database table named Products
with the following structure:
CREATE TABLE Products
(
ProductID INT PRIMARY KEY,
ProductName NVARCHAR(100),
UnitsInStock INT
)
LINQ to SQL DataContext
Create a LINQ to SQL DataContext to interact with the database. You should add this DataContext to your project using the LINQ to SQL designer in Visual Studio.
Code for Updating Stock
Now, let's write C# code to update the stock of a product using optimistic concurrency control. We'll use LINQ to SQL for this purpose:
using System;
using System.Linq;
class Program
{
static void Main()
{
// Create a DataContext instance
MyDataContext dataContext = new MyDataContext();
// Retrieve a product
var product = dataContext.Products.Single(p => p.ProductID == 1);
// Simulate another user updating the same product in the database
Console.WriteLine("Another user updated the product stock in the database.");
Console.WriteLine("Press Enter to continue...");
Console.ReadLine();
// Modify the product's stock
product.UnitsInStock = 20;
try
{
// Submit changes to the database
dataContext.SubmitChanges();
Console.WriteLine("Stock updated successfully.");
}
catch (System.Data.Linq.ChangeConflictException)
{
// Handle concurrency conflict
Console.WriteLine("Concurrency conflict detected. Another user modified the product.");
Console.WriteLine("Press Enter to reload the product and try again...");
Console.ReadLine();
// Refresh the product from the database
dataContext.Refresh(System.Data.Linq.RefreshMode.OverwriteCurrentValues, product);
// Update the stock and try again
product.UnitsInStock = 20;
dataContext.SubmitChanges();
Console.WriteLine("Stock updated successfully after resolving the conflict.");
}
}
}
In this code:
- We retrieve a product from the database.
- We simulate another user updating the same product in the database.
- When we try to update the stock, we catch a
ChangeConflictException
, indicating a concurrency conflict.
- We resolve the conflict by refreshing the product from the database and updating the stock again.
Output:
Another user updated the product stock in the database.
Press Enter to continue...
Concurrency conflict detected. Another user modified the product.
Press Enter to reload the product and try again...
Stock updated successfully after resolving the conflict.
This example demonstrates how to handle concurrency conflicts in LINQ to SQL by detecting conflicts, refreshing the data, and then applying updates. It ensures that multiple users can work with the same data while avoiding data inconsistency issues.