使用原始 SQL 查询绑定复杂模型实体？

Question

我一直在使用实体框架，我可以轻松地与实体本身进行复杂的模型绑定，但是当涉及到原始 sql 绑定时，我找不到任何对关系数据库进行复杂绑定的解决方案。

例如，以下是为产品类建模代码的实体-

var prodResult = db.products.Where(p => p.isActive == true).Select(p => new ComplexProductModel
                {
                    id = p.id,
                    dateCreated = p.date_created,
                    datePublished = null,
                    desc = p.product_desc,
                    images = db.products_images.Where(pi => pi.prod_id == p.id).Select(pi => pi.prod_img_thumb).ToList(),
                    summary = p.product_summary,
                    title = p.product_name + " " + p.product_code
                }).ToList();

这实现了针对复杂模型的数据，该模型根据查询要求在主复杂模型中包含字符串或类的列表类型。

现在我尝试使用原始 sql 执行运行相同的生成查询，但图像对象的绑定失败。

var rawComplexData = db.Database.SqlQuery<ComplexProductModel>(dynamicSearchQuery).ToList(); 

对于这种情况有什么解决方案吗，我得到的是 10 行数据（对于这个例子），图像为空，应该是 7 行，重复获取的图像进入List<string> images 用于ComplexProductModel。

为了更好地理解代码，这里是复杂的产品模型：

public ComplexProductModel {
        long? id { get; set; }
        string title { get; set; }
        string desc { get; set; }
        string summary { get; set; }
        List<string> images { get; set; }
        DateTime? datePublished { get; set; }
        DateTime? dateCreated { get; set; }
    }

根据@tchelidze 的请求，这里是dynamicQuery，这基本上是我从实体框架自身生成的内容中获取的：

SELECT 
    [Project2].[C1] AS [C1], 
    [Project2].[id] AS [id], 
    [Project2].[date_created] AS [date_created], 
    [Project2].[C2] AS [C2], 
    [Project2].[product_desc] AS [product_desc], 
    [Project2].[product_summary] AS [product_summary], 
    [Project2].[C3] AS [C3], 
    [Project2].[C4] AS [C4], 
    [Project2].[prod_img_thumb] AS [prod_img_thumb]
    FROM ( SELECT 
        [Extent1].[id] AS [id], 
        [Extent1].[product_desc] AS [product_desc], 
        [Extent1].[product_summary] AS [product_summary], 
        [Extent1].[date_created] AS [date_created], 
        1 AS [C1], 
        CAST(NULL AS datetime2) AS [C2], 
        [Project1].[prod_img_thumb] AS [prod_img_thumb], 
        CASE WHEN ([Extent1].[product_name] IS NULL) THEN N'' ELSE [Extent1].[product_name] END + N' ' + CASE WHEN ([Extent1].[product_code] IS NULL) THEN N'' ELSE [Extent1].[product_code] END AS [C3], 
        [Project1].[C1] AS [C4]
        FROM  [dbo].[products] AS [Extent1]
        LEFT OUTER JOIN  (SELECT 
            [Extent2].[prod_id] AS [prod_id], 
            [Extent2].[prod_img_thumb] AS [prod_img_thumb], 
            1 AS [C1]
            FROM [dbo].[products_images] AS [Extent2] ) AS [Project1] ON [Project1].[prod_id] = [Extent1].[id]
        WHERE 1 = [Extent1].[isActive]
    )  AS [Project2]
    ORDER BY [Project2].[id] ASC, [Project2].[C4] ASC

Answer 1

你可以引入一个新的对象，例如我们称之为ComplexProductDto，它应该与SQL返回的查询结果结构完全匹配，例如：

// Please adjust...
public class ComplexProductDto
{
    public int Id { get; set; }
    public int ProductDesc { get; set; }
    ...
    public string ProdImgThumb { get; set; }
}

现在数据将被展平和取消分组，包含重复的记录，您可以使用 Linq 在内存中进行分组。

var rawComplexData = db.Database.SqlQuery<ComplexProductDto>(dynamicSearchQuery).ToList(); 
var prodResult = rawComplexData
  .GroupBy(x => new
  {
      x.Id,
      x.ProductDesc,
      // List all but Image...
  })
  .Select(x => new ComplexProductModel
  {
      id = x.Key.Id,
      desc = x,Key.ProductDesc,
      .... // etc.
      images = x.Select(i => i.ProdImgThumb).ToList()
  });

代码可能不是 100% 正确，但您明白了。该技术是检索未分组的数据并将其分组回所需的结构。