來自博客園開發團隊開發前線最新消息:
在Entity Framework中,如果實體A關聯了實體B,你想在加載實體A的同時加載實體B。通常做法是在LINQ查詢中使用Include()。但是,如果你在查詢條件中用到了實體B,EF會自動加載實體B,這時Include不僅是多余的,而且還會增加額外的LEFT OUTER JOIN查詢,影響性能。
請看我們在博問開發中遭遇這個問題時的一段代碼:
//For q.cnblogs.com public class QuestionService { private IRepository<QuestionItem> _questionRepository; public QuestionService(IUnitOfWork unitOfWork) : base(unitOfWork) { _questionRepository = new Repository<QuestionItem>(unitOfWork); } public List<QuestionItem> GetUnsolvedQuestions(int pageIndex, int pageSize) { return _questionRepository.Entities .Include(q => q.User) .Where(q => q.IsActive && q.User.IsActive) .Skip((pageIndex - 1) * pageSize) .Take(pageSize) .ToList(); } } public class QuestionItem { public int Id { get;set; } public string Title { get; set; } public bool IsActive { get; set; } public int UserId { get; set; } public User User { get; set; } } public class User { public int UserId { get; set; } public bool IsActive {get;set;} }
在上面的代碼中,我們想在GetActiveQuestions()返回List<QuestionItem>時,QuestionItem中要包含User信息,所以在LINQ查詢使用了.Include(q => q.User)。
(特別要注意的是:這里把q.User.IsActive作為查詢條件之一)
然后我們用SQL Server Profiler發現,Entity Framework生成了如下的SQL語句:
SELECT TOP (25) [Filter1].[Id] AS [Id], [Filter1].[Title] AS [Title], [Filter1].[UserId] AS [UserId], [Filter1].[UserId1] AS [UserId1], [Filter1].[IsActive1] AS [IsActive], [Filter1].[UserId2] AS [UserId1], [Filter1].[IsActive2] AS [IsActive1] FROM ( SELECT [Extent1].[Id] AS [Id], [Extent1].[Title] AS [Title], [Extent1].[UserId] AS [UserId1],[Extent1].[IsActive] AS [IsActive1], [Extent3].[UserID] AS [UserID2], [Extent3].[IsActive] AS [IsActive2], row_number() OVER (ORDER BY [Extent1].[QID] DESC) AS [row_number] FROM [dbo].[question_Item] AS [Extent1] INNER JOIN [dbo].[Users] AS [Extent2] ON [Extent1].[UserID] = [Extent2].[UserID] LEFT OUTER JOIN [dbo].[Users] AS [Extent3] ON [Extent1].[UserID] = [Extent3].[UserID] WHERE ([Extent1].[IsActive] = 1) AND ([Extent2].[IsActive] = 1) ) AS [Filter1] WHERE [Filter1].[row_number] > 0 ORDER BY [Filter1].[Id] DESC
[dbo].[Users]表對應的就是User實體類,上面的SQL中[dbo].[Users]出現了兩次JOIN,由於[Users]表數據量比較大,兩次JOIN影響了執行計划,查詢耗時增加。這顯然是要避免的。
在與這個問題一陣激戰之后,我們終於找到解決方法 —— 去掉Include,就這么簡單!
從這個地方看,Entity Framework還是挺聰明的,但是由於不知道它的這個聰明之處,反而帶來了問題。
所以,代碼如人,要和她相處好,就要了解她的一切!