我使用Dapper绕过了Entity框架Core的这个约束。

IDbConnection.Query

正在处理带有多个参数的SQL查询或存储过程。 顺便说一下，它更快一些(参见基准测试)

Dapper很容易学。编写和运行带参数的存储过程需要15分钟。无论如何，你可以同时使用EF和Dapper。下面是一个例子:

 public class PodborsByParametersService
{
    string _connectionString = null;


    public PodborsByParametersService(string connStr)
    {
        this._connectionString = connStr;

    }

    public IList<TyreSearchResult> GetTyres(TyresPodborView pb,bool isPartner,string partnerId ,int pointId)
    {

        string sqltext  "spGetTyresPartnerToClient";

        var p = new DynamicParameters();
        p.Add("@PartnerID", partnerId);
        p.Add("@PartnerPointID", pointId);

        using (IDbConnection db = new SqlConnection(_connectionString))
        {
            return db.Query<TyreSearchResult>(sqltext, p,null,true,null,CommandType.StoredProcedure).ToList();
        }


        }
}

我的案例使用了存储过程而不是原始SQL

创建一个类

Public class School
{
    [Key]
    public Guid SchoolId { get; set; }
    public string Name { get; set; }
    public string Branch { get; set; }
    public int NumberOfStudents  { get; set; }
}

下面在我的DbContext类上添加

public DbSet<School> SP_Schools { get; set; }

执行存储过程。

var MySchools = _db.SP_Schools.FromSqlRaw("GetSchools @schoolId, @page, @size ",
              new SqlParameter("schoolId", schoolId),
              new SqlParameter("page", page),
              new SqlParameter("size", size)))
.IgnoreQueryFilters();

实际上，您可以创建一个通用的存储库并做类似的事情

public class GenericRepository<TEntity> : IGenericRepository<TEntity> where TEntity : BaseEntity
{
    private readonly DataContext context;
    private readonly DbSet<TEntity> dbSet;

    public GenericRepository(DataContext context)
    {
        this.context = context;
        this.dbSet = context.Set<TEntity>();
    }

   
    public IEnumerable<TEntity> ExecuteCommandQuery(string command)
        => dbSet.FromSqlRaw(command);

}

我找到了EntityFrameworkCore包。RawSQLExtensions在github上。要使用它，添加nuget包。

<PackageReference Include="EntityFrameworkCore.RawSQLExtensions" Version="1.2.0" />

这个库没有文档，但下面是我在。net 6 + EF Core 6 + Npgsql 6中使用它

public class DbResult
{
    public string Name { get; set; }
    public int Age { get; set; }
}

using EntityFrameworkCore.RawSQLExtensions.Extensions;

var results = await context.Database
    .SqlQuery<DbResult>(
        @"select name, age from ""users"" where age > @Age",
        new NpgsqlParameter("@Age", 15))
    .ToListAsync();

你可以在EF Core中执行原始sql -将这个类添加到你的项目中。 这将允许您执行原始SQL并获得原始结果，而不必定义POCO和DBSet。 参见https://github.com/aspnet/EntityFramework/issues/1862#issuecomment-220787464获取原始示例。

using Microsoft.EntityFrameworkCore.Infrastructure;
using Microsoft.EntityFrameworkCore.Internal;
using Microsoft.EntityFrameworkCore.Storage;
using System.Threading;
using System.Threading.Tasks;

namespace Microsoft.EntityFrameworkCore
{
    public static class RDFacadeExtensions
    {
        public static RelationalDataReader ExecuteSqlQuery(this DatabaseFacade databaseFacade, string sql, params object[] parameters)
        {
            var concurrencyDetector = databaseFacade.GetService<IConcurrencyDetector>();

            using (concurrencyDetector.EnterCriticalSection())
            {
                var rawSqlCommand = databaseFacade
                    .GetService<IRawSqlCommandBuilder>()
                    .Build(sql, parameters);

                return rawSqlCommand
                    .RelationalCommand
                    .ExecuteReader(
                        databaseFacade.GetService<IRelationalConnection>(),
                        parameterValues: rawSqlCommand.ParameterValues);
            }
        }

        public static async Task<RelationalDataReader> ExecuteSqlQueryAsync(this DatabaseFacade databaseFacade, 
                                                             string sql, 
                                                             CancellationToken cancellationToken = default(CancellationToken),
                                                             params object[] parameters)
        {

            var concurrencyDetector = databaseFacade.GetService<IConcurrencyDetector>();

            using (concurrencyDetector.EnterCriticalSection())
            {
                var rawSqlCommand = databaseFacade
                    .GetService<IRawSqlCommandBuilder>()
                    .Build(sql, parameters);

                return await rawSqlCommand
                    .RelationalCommand
                    .ExecuteReaderAsync(
                        databaseFacade.GetService<IRelationalConnection>(),
                        parameterValues: rawSqlCommand.ParameterValues,
                        cancellationToken: cancellationToken);
            }
        }
    }
}

下面是一个如何使用它的例子:

// Execute a query.
using(var dr = await db.Database.ExecuteSqlQueryAsync("SELECT ID, Credits, LoginDate FROM SamplePlayer WHERE " +
                                                          "Name IN ('Electro', 'Nitro')"))
{
    // Output rows.
    var reader = dr.DbDataReader;
    while (reader.Read())
    {
        Console.Write("{0}\t{1}\t{2} \n", reader[0], reader[1], reader[2]);
    }
}

你也可以使用QueryFirst。和Dapper一样，这完全不在EF的范围内。与Dapper(或EF)不同的是，您不需要维护POCO，只需在真实环境中编辑sql sql，并根据DB不断对其进行重新验证。免责声明:我是QueryFirst的作者。