Dapper是一个轻量级的ORM(对象关系映射)库,用于.NET应用程序与数据库之间的数据访问。它允许你使用SQL查询来执行数据库操作,而不需要复杂的映射配置。在这篇文章中,我将为您提供Dapper的高级应用功能示例,每个示例都有源代码和注释。这些示例将涵盖Dapper的一些高级功能,以帮助你更好地理解如何在实际应用中使用它。
Dapper允许你轻松执行多表关联查询。在这个示例中,我们将查询两个表,一个是Customers表,另一个是Orders表,并将它们关联起来。
using Dapper;using System;using System.Data;using System.Data.SqlClient;using System.Linq;public class Customer{ public int CustomerId { get; set; } public string CustomerName { get; set; }}public class Order{ public int OrderId { get; set; } public int CustomerId { get; set; } public decimal TotalAmount { get; set; }}class Program{ static void Main() { string connectionString = "YourConnectionStringHere"; using IDbConnection dbConnection = new SqlConnection(connectionString); string query = "SELECT c.CustomerId, c.CustomerName, o.OrderId, o.TotalAmount " + "FROM Customers c " + "JOIN Orders o ON c.CustomerId = o.CustomerId"; var result = dbConnection.Query<Customer, Order, Customer>( query, (customer, order) => { customer.Orders = order; return customer; }, splitOn: "OrderId" ); foreach (var customer in result) { Console.WriteLine($"Customer ID: {customer.CustomerId}, Name: {customer.CustomerName}"); Console.WriteLine($"Order ID: {customer.Orders.OrderId}, Total Amount: {customer.Orders.TotalAmount}"); Console.WriteLine(); } }}
Dapper允许你使用事务来确保一组操作要么全部成功,要么全部失败。在这个示例中,我们将演示如何在Dapper中使用事务。
using Dapper;using System;using System.Data;using System.Data.SqlClient;class Program{ static void Main() { string connectionString = "YourConnectionStringHere"; using IDbConnection dbConnection = new SqlConnection(connectionString); dbConnection.Open(); using var transaction = dbConnection.BeginTransaction(); try { string insertQuery = "INSERT INTO Products (Name, Price) VALUES (@Name, @Price)"; string updateQuery = "UPDATE Customers SET CustomerName = @CustomerName WHERE CustomerId = @CustomerId"; var product = new { Name = "ProductX", Price = 19.99 }; var customer = new { CustomerName = "NewName", CustomerId = 1 }; dbConnection.Execute(insertQuery, product, transaction: transaction); dbConnection.Execute(updateQuery, customer, transaction: transaction); // Commit the transaction if all operations are successful transaction.Commit(); Console.WriteLine("Transaction committed."); } catch (Exception ex) { // Rollback the transaction if any operation fails transaction.Rollback(); Console.WriteLine("Transaction rolled back. Error: " + ex.Message); } }}
Dapper允许你自定义数据类型到.NET类型的映射。在这个示例中,我们将使用TypeHandler来自定义Point类型的映射。
using Dapper;using System;using System.Data;using System.Data.SqlClient;using Npgsql;using NpgsqlTypes;public class Point{ public double X { get; set; } public double Y { get; set; }}public class PointTypeHandler : SqlMapper.TypeHandler<Point>{ public override void SetValue(IDbDataParameter parameter, Point value) { parameter.Value = $"({value.X},{value.Y})"; parameter.DbType = DbType.String; } public override Point Parse(object value) { if (value is string strValue) { var parts = strValue.Trim('(', ')').Split(','); if (parts.Length == 2 && double.TryParse(parts[0], out double x) && double.TryParse(parts[1], out double y)) { return new Point { X = x, Y = y }; } } return null; }}class Program{ static void Main() { SqlMapper.AddTypeHandler(new PointTypeHandler()); string connectionString = "YourConnectionStringHere"; using IDbConnection dbConnection = new NpgsqlConnection(connectionString); string query = "SELECT PointColumn FROM MyTable WHERE Id = @Id"; var result = dbConnection.Query<Point>(query, new { Id = 1 }).FirstOrDefault(); if (result != null) { Console.WriteLine($"X: {result.X}, Y: {result.Y}"); } else { Console.WriteLine("Point not found."); } }}
Dapper支持批量插入数据,这对于大规模数据操作非常有用。在这个示例中,我们将演示如何批量插入多个产品记录。
using Dapper;using System;using System.Collections.Generic;using System.Data;using System.Data.SqlClient;public class Product{ public string Name { get; set; } public decimal Price { get; set; }}class Program{ static void Main() { string connectionString = "YourConnectionStringHere"; using IDbConnection dbConnection = new SqlConnection(connectionString); dbConnection.Open(); var products = new List<Product> { new Product { Name = "ProductA", Price = 10.99m }, new Product { Name = "ProductB", Price = 15.99m }, new Product { Name = "ProductC", Price = 20.99m } }; string insertQuery = "INSERT INTO Products (Name, Price) VALUES (@Name, @Price)"; int rowsAffected = dbConnection.Execute(insertQuery, products); Console.WriteLine($"{rowsAffected} rows inserted."); }}
虽然Dapper通常用于执行SQL查询,但你也可以执行自定义的SQL语句,例如存储过程或函数调用。在这个示例中,我们将演示如何执行一个存储过程。
using Dapper;using System;using System.Data;using System.Data.SqlClient;class Program{ static void Main() { string connectionString = "YourConnectionStringHere"; using IDbConnection dbConnection = new SqlConnection(connectionString); string storedProcedure = "MyStoredProcedure"; var parameters = new DynamicParameters(); parameters.Add("Param1", 123); parameters.Add("Param2", "TestValue", DbType.String, ParameterDirection.Input, 50); var result = dbConnection.Query<int>(storedProcedure, parameters, commandType: CommandType.StoredProcedure).FirstOrDefault(); Console.WriteLine($"Stored procedure result: {result}"); }}
你可以使用Dapper的Execute方法来执行自定义的SQL语句,而不仅仅是查询。在这个示例中,我们将演示如何执行一个自定义的更新语句。
using Dapper;using System;using System.Data;using System.Data.SqlClient;class Program{ static void Main() { string connectionString = "YourConnectionStringHere"; using IDbConnection dbConnection = new SqlConnection(connectionString); string updateStatement = "UPDATE Customers SET CustomerName = @NewName WHERE CustomerId = @CustomerId"; var parameters = new { NewName = "NewName", CustomerId = 1 }; int rowsAffected = dbConnection.Execute(updateStatement, parameters); Console.WriteLine($"{rowsAffected} rows updated."); }}
Dapper支持异步查询,这对于高并发应用程序非常有用。在这个示例中,我们将演示如何使用异步方法执行查询。
using Dapper;using System;using System.Data;using System.Data.SqlClient;using System.Threading.Tasks;class Program{ static async Task Main() { string connectionString = "YourConnectionStringHere"; using IDbConnection dbConnection = new SqlConnection(connectionString); string query = "SELECT * FROM Products"; var products = await dbConnection.QueryAsync<Product>(query); foreach (var product in products) { Console.WriteLine($"Name: {product.Name}, Price: {product.Price}"); } }}
你可以使用Dapper的Table特性来指定实体类与数据库中不同表之间的映射关系。在这个示例中,我们将演示如何自定义表名。
using Dapper;using System;using System.Data;using System.Data.SqlClient;[Table("MyCustomTableName")]public class CustomTable{ public int Id { get; set; } public string Name { get; set; }}class Program{ static void Main() { string connectionString = "YourConnectionStringHere"; using IDbConnection dbConnection = new SqlConnection(connectionString); string query = "SELECT * FROM MyCustomTableName"; var result = dbConnection.Query<CustomTable>(query); foreach (var item in result) { Console.WriteLine($"Id: {item.Id}, Name: {item.Name}"); } }}
Dapper默认使用@作为参数前缀,但你可以自定义参数前缀。在这个示例中,我们将演示如何自定义参数前缀为$。
using Dapper;using System;using System.Data;using System.Data.SqlClient;class Program{ static void Main() { SqlMapperExtensions.Configure("$$$"); // 设置参数前缀为 $$$ string connectionString = "YourConnectionStringHere"; using IDbConnection dbConnection = new SqlConnection(connectionString); string query = "SELECT * FROM Products WHERE Name = $$$productName"; var result = dbConnection.Query<Product>(query, new { productName = "ProductA" }); foreach (var product in result) { Console.WriteLine($"Name: {product.Name}, Price: {product.Price}"); } }}
Dapper使分页查询变得容易,你可以使用LIMIT和OFFSET来执行分页查询。在这个示例中,我们将演示如何执行分页查询。
using Dapper;using System;using System.Data;using System.Data.SqlClient;class Program{ static void Main() { string connectionString = "YourConnectionStringHere"; using IDbConnection dbConnection = new SqlConnection(connectionString); int pageSize = 10; int pageNumber = 2; string query = "SELECT * FROM Products ORDER BY ProductId OFFSET @Offset ROWS FETCH NEXT @PageSize ROWS ONLY"; var result = dbConnection.Query<Product>(query, new { Offset = (pageNumber - 1) * pageSize, PageSize = pageSize }); foreach (var product in result) { Console.WriteLine($"Name: {product.Name}, Price: {product.Price}"); } }}
这些示例演示了Dapper的一些高级功能,包括多表关联查询、事务处理、自定义类型映射、批量插入、自定义SQL语句、异步查询、自定义表名、自定义参数前缀和查询分页。通过这些示例,你可以更好地了解如何在实际应用中充分利用Dapper来简化数据访问任务。
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