Advanced Dapper Techniques: Stored Procedures, Transactions, and Bulk Operations

Advanced Dapper Techniques: Stored Procedures, Transactions, and Bulk Operations

Using Stored Procedures

Dapper allows calling stored procedures efficiently:

var products = await db.QueryAsync<Product>("GetAllProducts", commandType: CommandType.StoredProcedure);

 

Handling Transactions

To ensure atomic operations, use transactions:

using var transaction = db.BeginTransaction();

try

{

    string insertQuery = "INSERT INTO Products (Name, Price) VALUES (@Name, @Price)";

    await db.ExecuteAsync(insertQuery, newProduct, transaction);

    transaction.Commit();

}

catch

{

    transaction.Rollback();

    throw;

}

 

Bulk Operations

For bulk inserts, use ExecuteAsync with multiple parameters:

var products = new List<Product> { new Product { Name = "Item1", Price = 10 }, new Product { Name = "Item2", Price = 20 } };

string sql = "INSERT INTO Products (Name, Price) VALUES (@Name, @Price)";

await db.ExecuteAsync(sql, products);

 

Key Best Practices

• Efficient Connection Management: Use dependency injection to manage IDbConnection lifecycle efficiently.
• Asynchronous Execution: Always use asynchronous methods (QueryAsync, ExecuteAsync, ExecuteScalarAsync) to improve application responsiveness.
• Error Handling: Implement try-catch blocks to handle database errors gracefully.
• SQL Optimization: Use parameterized queries (@parameterName) to prevent SQL injection.
• Proper API Responses: Return structured responses using the Results class for better API handling.
• Configuration Management: Store connection strings in appsettings.json rather than hardcoding them in the source code.

 

Conclusion

Dapper provides a lightweight, efficient, and high-performance way to interact with databases in .NET Core applications. By following the steps outlined in this guide, you can integrate Dapper seamlessly into your project while following best practices for database access.

With advanced features like stored procedures, transactions, and bulk operations, Dapper becomes even more powerful for complex database tasks.