这是我想要的查询:
select top 10 *
from vw_BoosterTargetLog
where OrganizationId = 4125
order by Id desc
它执行亚秒。
这是我的实体框架(6.1.2)在C#中的等价物:
return await db.vw_BoosterTargetLog
.Where(x => x.OrganizationId == organizationId)
.OrderByDescending(x => x.Id)
.Take(numberToRun)
.ToListNolockAsync();
这是它生成的SQL:
SELECT TOP (10)
[Project1].[OrganizationId] AS [OrganizationId],
[Project1].[BoosterTriggerId] AS [BoosterTriggerId],
[Project1].[IsAutomatic] AS [IsAutomatic],
[Project1].[C1] AS [C1],
[Project1].[CustomerUserId] AS [CustomerUserId],
[Project1].[SourceUrl] AS [SourceUrl],
[Project1].[TargetUrl] AS [TargetUrl],
[Project1].[ShowedOn] AS [ShowedOn],
[Project1].[ClickedOn] AS [ClickedOn],
[Project1].[BoosterTargetId] AS [BoosterTargetId],
[Project1].[TriggerEventGroup] AS [TriggerEventGroup],
[Project1].[TriggerIgnoreIdentifiedUsers] AS [TriggerIgnoreIdentifiedUsers],
[Project1].[TargetTitle] AS [TargetTitle],
[Project1].[BoosterTargetVersionId] AS [BoosterTargetVersionId],
[Project1].[Version] AS [Version],
[Project1].[CookieId] AS [CookieId],
[Project1].[CoalescedId] AS [CoalescedId],
[Project1].[OrganizationName] AS [OrganizationName],
[Project1].[ShowedOnDate] AS [ShowedOnDate],
[Project1].[SampleGroupSectionName] AS [SampleGroupSectionName],
[Project1].[Selector] AS [Selector],
[Project1].[SelectorStep] AS [SelectorStep]
FROM ( SELECT
[Extent1].[OrganizationId] AS [OrganizationId],
[Extent1].[OrganizationName] AS [OrganizationName],
[Extent1].[BoosterTriggerId] AS [BoosterTriggerId],
[Extent1].[IsAutomatic] AS [IsAutomatic],
[Extent1].[SampleGroupSectionName] AS [SampleGroupSectionName],
[Extent1].[Selector] AS [Selector],
[Extent1].[SelectorStep] AS [SelectorStep],
[Extent1].[BoosterTargetId] AS [BoosterTargetId],
[Extent1].[CookieId] AS [CookieId],
[Extent1].[CustomerUserId] AS [CustomerUserId],
[Extent1].[CoalescedId] AS [CoalescedId],
[Extent1].[SourceUrl] AS [SourceUrl],
[Extent1].[TriggerEventGroup] AS [TriggerEventGroup],
[Extent1].[TriggerIgnoreIdentifiedUsers] AS [TriggerIgnoreIdentifiedUsers],
[Extent1].[TargetTitle] AS [TargetTitle],
[Extent1].[TargetUrl] AS [TargetUrl],
[Extent1].[ShowedOn] AS [ShowedOn],
[Extent1].[ShowedOnDate] AS [ShowedOnDate],
[Extent1].[ClickedOn] AS [ClickedOn],
[Extent1].[BoosterTargetVersionId] AS [BoosterTargetVersionId],
[Extent1].[Version] AS [Version],
CAST( [Extent1].[Id] AS int) AS [C1]
FROM (SELECT
[vw_BoosterTargetLog].[OrganizationId] AS [OrganizationId],
[vw_BoosterTargetLog].[OrganizationName] AS [OrganizationName],
[vw_BoosterTargetLog].[BoosterTriggerId] AS [BoosterTriggerId],
[vw_BoosterTargetLog].[IsAutomatic] AS [IsAutomatic],
[vw_BoosterTargetLog].[SampleGroupSectionName] AS [SampleGroupSectionName],
[vw_BoosterTargetLog].[Selector] AS [Selector],
[vw_BoosterTargetLog].[SelectorStep] AS [SelectorStep],
[vw_BoosterTargetLog].[BoosterTargetId] AS [BoosterTargetId],
[vw_BoosterTargetLog].[CookieId] AS [CookieId],
[vw_BoosterTargetLog].[CustomerUserId] AS [CustomerUserId],
[vw_BoosterTargetLog].[CoalescedId] AS [CoalescedId],
[vw_BoosterTargetLog].[Id] AS [Id],
[vw_BoosterTargetLog].[SourceUrl] AS [SourceUrl],
[vw_BoosterTargetLog].[TriggerEventGroup] AS [TriggerEventGroup],
[vw_BoosterTargetLog].[TriggerIgnoreIdentifiedUsers] AS [TriggerIgnoreIdentifiedUsers],
[vw_BoosterTargetLog].[TargetTitle] AS [TargetTitle],
[vw_BoosterTargetLog].[TargetUrl] AS [TargetUrl],
[vw_BoosterTargetLog].[ShowedOn] AS [ShowedOn],
[vw_BoosterTargetLog].[ShowedOnDate] AS [ShowedOnDate],
[vw_BoosterTargetLog].[ClickedOn] AS [ClickedOn],
[vw_BoosterTargetLog].[BoosterTargetVersionId] AS [BoosterTargetVersionId],
[vw_BoosterTargetLog].[Version] AS [Version]
FROM [dbo].[vw_BoosterTargetLog] AS [vw_BoosterTargetLog]) AS [Extent1]
WHERE [Extent1].[OrganizationId] = 4125
) AS [Project1]
ORDER BY [Project1].[C1] DESC
当然,它很丑陋,因为所有的EF查询都是:我并没有抱怨这一点。我的抱怨是,在我的测试中,最好的情况是,它的执行速度比第一次慢10倍,而最坏的情况则慢约100倍。
对于一个简单的查询,这似乎超出了所有合理的期望。
显然我可以直接执行SQL,或执行一个sproc,或者那种类型的东西。虽然我在等待反馈,但这就是我要做的事情。但有没有人有任何其他建议如何加快速度?有没有办法鼓励EF在这样的情况下生成合理的SQL?
答案 0 :(得分:9)
EF产生的查询虽然从可读性的角度来看很糟糕,但通常仍然非常合理 - 我说这是通过手写查询通过存储过程进行几乎所有数据访问的人。但是为了使它工作,模型EF需要数据库需要与实际数据库匹配,否则将引入转换,当发生这种情况时,非常很容易变得可怕在转换所有数据并且不能使用索引时性能下降。
如果我们消除了一些嵌套,EF查询可以简化为
SELECT TOP (10) *
FROM (
SELECT *, CAST(Id AS INT) AS C1
FROM vw_BoosterTargetLog
WHERE OrganizationId = 4125
) _
ORDER BY C1 DESC
(这不是实际的结果集,因为Id
不是真实查询中最终结果集的一部分,但假装我像EF一样写出了所有列。)
如果vw_BoosterTargetLog.Id
实际上不是INT
,则会在排序发生之前强制转换所有行,这会慢得多。解决方案是找出列的实际类型(在本例中为BIGINT
)并相应地更新模型。