C# 使用GROUP BY和COUNT优化/重写LINQ查询
我试图在下面的数据集中获得按名称分组的唯一foo和bar的计数C# 使用GROUP BY和COUNT优化/重写LINQ查询,c#,linq,C#,Linq,我试图在下面的数据集中获得按名称分组的唯一foo和bar的计数 Id | IsActive | Name | Foo | Bar 1 | 1 | A | 11 | null 2 | 1 | A | 11 | null 3 | 1 | A | null | 123 4 |
Id | IsActive | Name | Foo | Bar
1 | 1 | A | 11 | null
2 | 1 | A | 11 | null
3 | 1 | A | null | 123
4 | 1 | B | null | 321
我预计上述数据的结果为:
Expected:
A = 2;
B = 1;
我尝试按名称、Foo、Bar分组,然后再次按名称分组,并使用计数来获得“行”计数。但这并没有给我正确的结果。(或者ToDictionary扔了一个重复的钥匙,我经常玩这个,所以记不清了) 所以我提出了这个LINQ查询。但是它相当慢
db.MyEntity
.Where(x => x.IsActive)
.GroupBy(x => x.Name)
.ToDictionary(x => x.Key,
x =>
x.Where(y => y.Foo != null).Select(y => y.Foo).Distinct().Count() +
x.Where(y => y.Bar != null).Select(y => y.Bar).Distinct().Count());
我如何优化它
这是referenece的实体
public class MyEntity
{
public int Id { get; set; }
public bool IsActive { get; set; }
public string Name { get; set; }
public int? Foo { get; set; }
public int? Bar { get; set; }
}
编辑
我也试过这个问题
db.MyEntity
.Where(x => x.IsActive)
.GroupBy(x => new { x.Name, x.Foo, x.Bar })
.GroupBy(x => x.Key.Name)
.ToDictionary(x => x.Key, x => x.Count());
但这引发了超时异常:(只有关于问题的建议不能使用DISTINCT以获得更好的性能。请使用分组
请查看此您的目标是生成以下查询:
select Name, count(distinct Foo) + count(distinct Bar)
from myEntity
where IsActive = 1
group by Name
这是获取所需内容的最小查询。
但林克似乎尽可能地使一切都变得过于复杂:)
您的目标是尽可能多地在数据库级别执行操作。现在,您的查询被转换为:
SELECT
[Project2].[C1] AS [C1],
[Project2].[Name] AS [Name],
[Project2].[C2] AS [C2],
[Project2].[id] AS [id],
[Project2].[IsActive] AS [IsActive],
[Project2].[Name1] AS [Name1],
[Project2].[Foo] AS [Foo],
[Project2].[Bar] AS [Bar]
FROM ( SELECT
[Distinct1].[Name] AS [Name],
1 AS [C1],
[Extent2].[id] AS [id],
[Extent2].[IsActive] AS [IsActive],
[Extent2].[Name] AS [Name1],
[Extent2].[Foo] AS [Foo],
[Extent2].[Bar] AS [Bar],
CASE WHEN ([Extent2].[id] IS NULL) THEN CAST(NULL AS int) ELSE 1 END AS [C2]
FROM (SELECT DISTINCT
[Extent1].[Name] AS [Name]
FROM [dbo].[SomeTable] AS [Extent1]
WHERE [Extent1].[IsActive] = 1 ) AS [Distinct1]
LEFT OUTER JOIN [dbo].[SomeTable] AS [Extent2] ON ([Extent2].[IsActive] = 1) AND ([Distinct1].[Name] = [Extent2].[Name])
) AS [Project2]
ORDER BY [Project2].[Name] ASC, [Project2].[C2] ASC
SELECT
1 AS [C1],
[GroupBy1].[K1] AS [C2],
[GroupBy1].[A1] AS [C3]
FROM ( SELECT
[UnionAll1].[Name] AS [K1],
COUNT(1) AS [A1]
FROM (SELECT
[Distinct1].[Name] AS [Name]
FROM ( SELECT DISTINCT
[Extent1].[Name] AS [Name],
[Extent1].[Foo] AS [Foo]
FROM [dbo].[SomeTable] AS [Extent1]
WHERE ([Extent1].[IsActive] = 1) AND ([Extent1].[Foo] IS NOT NULL)
) AS [Distinct1]
UNION ALL
SELECT
[Distinct2].[Name] AS [Name]
FROM ( SELECT DISTINCT
[Extent2].[Name] AS [Name],
[Extent2].[Bar] AS [Bar]
FROM [dbo].[SomeTable] AS [Extent2]
WHERE ([Extent2].[IsActive] = 1) AND ([Extent2].[Bar] IS NOT NULL)
) AS [Distinct2]) AS [UnionAll1]
GROUP BY [UnionAll1].[Name]
) AS [GroupBy1]
SELECT
1 AS [C1],
[Project5].[Name] AS [Name],
[Project5].[C1] + [Project5].[C2] AS [C2]
FROM ( SELECT
[Project3].[Name] AS [Name],
[Project3].[C1] AS [C1],
(SELECT
COUNT(1) AS [A1]
FROM ( SELECT DISTINCT
[Extent3].[Bar] AS [Bar]
FROM [dbo].[SomeTable] AS [Extent3]
WHERE ([Extent3].[IsActive] = 1) AND ([Project3].[Name] = [Extent3].[Name]) AND ([Extent3].[Bar] IS NOT NULL)
) AS [Distinct3]) AS [C2]
FROM ( SELECT
[Distinct1].[Name] AS [Name],
(SELECT
COUNT(1) AS [A1]
FROM ( SELECT DISTINCT
[Extent2].[Foo] AS [Foo]
FROM [dbo].[SomeTable] AS [Extent2]
WHERE ([Extent2].[IsActive] = 1) AND ([Distinct1].[Name] = [Extent2].[Name]) AND ([Extent2].[Foo] IS NOT NULL)
) AS [Distinct2]) AS [C1]
FROM ( SELECT DISTINCT
[Extent1].[Name] AS [Name]
FROM [dbo].[SomeTable] AS [Extent1]
WHERE [Extent1].[IsActive] = 1
) AS [Distinct1]
) AS [Project3]
) AS [Project5]
它从数据库中选择所有内容,并在应用层执行分组,这是低效的
@Servy的查询:
var activeItems = db.MyEntity.Where(x => x.IsActive);
var query = activeItems.Select(x => new { Name, Value = x.Foo}).Distinct()
.Concat(activeItems.Select(x => new { Name, Value = x.Bar}).Distinct())
.Where(x => x != null)
.GroupBy(pair => pair.Name)
.Select(group => new { group.Key, Count = Group.Count()})
.ToDictionary(pair => pair.Key, pair => pair.Count);
翻译为:
SELECT
[Project2].[C1] AS [C1],
[Project2].[Name] AS [Name],
[Project2].[C2] AS [C2],
[Project2].[id] AS [id],
[Project2].[IsActive] AS [IsActive],
[Project2].[Name1] AS [Name1],
[Project2].[Foo] AS [Foo],
[Project2].[Bar] AS [Bar]
FROM ( SELECT
[Distinct1].[Name] AS [Name],
1 AS [C1],
[Extent2].[id] AS [id],
[Extent2].[IsActive] AS [IsActive],
[Extent2].[Name] AS [Name1],
[Extent2].[Foo] AS [Foo],
[Extent2].[Bar] AS [Bar],
CASE WHEN ([Extent2].[id] IS NULL) THEN CAST(NULL AS int) ELSE 1 END AS [C2]
FROM (SELECT DISTINCT
[Extent1].[Name] AS [Name]
FROM [dbo].[SomeTable] AS [Extent1]
WHERE [Extent1].[IsActive] = 1 ) AS [Distinct1]
LEFT OUTER JOIN [dbo].[SomeTable] AS [Extent2] ON ([Extent2].[IsActive] = 1) AND ([Distinct1].[Name] = [Extent2].[Name])
) AS [Project2]
ORDER BY [Project2].[Name] ASC, [Project2].[C2] ASC
SELECT
1 AS [C1],
[GroupBy1].[K1] AS [C2],
[GroupBy1].[A1] AS [C3]
FROM ( SELECT
[UnionAll1].[Name] AS [K1],
COUNT(1) AS [A1]
FROM (SELECT
[Distinct1].[Name] AS [Name]
FROM ( SELECT DISTINCT
[Extent1].[Name] AS [Name],
[Extent1].[Foo] AS [Foo]
FROM [dbo].[SomeTable] AS [Extent1]
WHERE ([Extent1].[IsActive] = 1) AND ([Extent1].[Foo] IS NOT NULL)
) AS [Distinct1]
UNION ALL
SELECT
[Distinct2].[Name] AS [Name]
FROM ( SELECT DISTINCT
[Extent2].[Name] AS [Name],
[Extent2].[Bar] AS [Bar]
FROM [dbo].[SomeTable] AS [Extent2]
WHERE ([Extent2].[IsActive] = 1) AND ([Extent2].[Bar] IS NOT NULL)
) AS [Distinct2]) AS [UnionAll1]
GROUP BY [UnionAll1].[Name]
) AS [GroupBy1]
SELECT
1 AS [C1],
[Project5].[Name] AS [Name],
[Project5].[C1] + [Project5].[C2] AS [C2]
FROM ( SELECT
[Project3].[Name] AS [Name],
[Project3].[C1] AS [C1],
(SELECT
COUNT(1) AS [A1]
FROM ( SELECT DISTINCT
[Extent3].[Bar] AS [Bar]
FROM [dbo].[SomeTable] AS [Extent3]
WHERE ([Extent3].[IsActive] = 1) AND ([Project3].[Name] = [Extent3].[Name]) AND ([Extent3].[Bar] IS NOT NULL)
) AS [Distinct3]) AS [C2]
FROM ( SELECT
[Distinct1].[Name] AS [Name],
(SELECT
COUNT(1) AS [A1]
FROM ( SELECT DISTINCT
[Extent2].[Foo] AS [Foo]
FROM [dbo].[SomeTable] AS [Extent2]
WHERE ([Extent2].[IsActive] = 1) AND ([Distinct1].[Name] = [Extent2].[Name]) AND ([Extent2].[Foo] IS NOT NULL)
) AS [Distinct2]) AS [C1]
FROM ( SELECT DISTINCT
[Extent1].[Name] AS [Name]
FROM [dbo].[SomeTable] AS [Extent1]
WHERE [Extent1].[IsActive] = 1
) AS [Distinct1]
) AS [Project3]
) AS [Project5]
好多了
我尝试了以下方法:
var activeItems = (from o in db.SomeTables
where o.IsActive
group o by o.Name into gr
select new { gr.Key, cc = gr.Select(c => c.Foo).Distinct().Count(c => c != null) +
gr.Select(c => c.Bar).Distinct().Count(c => c != null) }).ToDictionary(c => c.Key);
这被翻译成:
SELECT
[Project2].[C1] AS [C1],
[Project2].[Name] AS [Name],
[Project2].[C2] AS [C2],
[Project2].[id] AS [id],
[Project2].[IsActive] AS [IsActive],
[Project2].[Name1] AS [Name1],
[Project2].[Foo] AS [Foo],
[Project2].[Bar] AS [Bar]
FROM ( SELECT
[Distinct1].[Name] AS [Name],
1 AS [C1],
[Extent2].[id] AS [id],
[Extent2].[IsActive] AS [IsActive],
[Extent2].[Name] AS [Name1],
[Extent2].[Foo] AS [Foo],
[Extent2].[Bar] AS [Bar],
CASE WHEN ([Extent2].[id] IS NULL) THEN CAST(NULL AS int) ELSE 1 END AS [C2]
FROM (SELECT DISTINCT
[Extent1].[Name] AS [Name]
FROM [dbo].[SomeTable] AS [Extent1]
WHERE [Extent1].[IsActive] = 1 ) AS [Distinct1]
LEFT OUTER JOIN [dbo].[SomeTable] AS [Extent2] ON ([Extent2].[IsActive] = 1) AND ([Distinct1].[Name] = [Extent2].[Name])
) AS [Project2]
ORDER BY [Project2].[Name] ASC, [Project2].[C2] ASC
SELECT
1 AS [C1],
[GroupBy1].[K1] AS [C2],
[GroupBy1].[A1] AS [C3]
FROM ( SELECT
[UnionAll1].[Name] AS [K1],
COUNT(1) AS [A1]
FROM (SELECT
[Distinct1].[Name] AS [Name]
FROM ( SELECT DISTINCT
[Extent1].[Name] AS [Name],
[Extent1].[Foo] AS [Foo]
FROM [dbo].[SomeTable] AS [Extent1]
WHERE ([Extent1].[IsActive] = 1) AND ([Extent1].[Foo] IS NOT NULL)
) AS [Distinct1]
UNION ALL
SELECT
[Distinct2].[Name] AS [Name]
FROM ( SELECT DISTINCT
[Extent2].[Name] AS [Name],
[Extent2].[Bar] AS [Bar]
FROM [dbo].[SomeTable] AS [Extent2]
WHERE ([Extent2].[IsActive] = 1) AND ([Extent2].[Bar] IS NOT NULL)
) AS [Distinct2]) AS [UnionAll1]
GROUP BY [UnionAll1].[Name]
) AS [GroupBy1]
SELECT
1 AS [C1],
[Project5].[Name] AS [Name],
[Project5].[C1] + [Project5].[C2] AS [C2]
FROM ( SELECT
[Project3].[Name] AS [Name],
[Project3].[C1] AS [C1],
(SELECT
COUNT(1) AS [A1]
FROM ( SELECT DISTINCT
[Extent3].[Bar] AS [Bar]
FROM [dbo].[SomeTable] AS [Extent3]
WHERE ([Extent3].[IsActive] = 1) AND ([Project3].[Name] = [Extent3].[Name]) AND ([Extent3].[Bar] IS NOT NULL)
) AS [Distinct3]) AS [C2]
FROM ( SELECT
[Distinct1].[Name] AS [Name],
(SELECT
COUNT(1) AS [A1]
FROM ( SELECT DISTINCT
[Extent2].[Foo] AS [Foo]
FROM [dbo].[SomeTable] AS [Extent2]
WHERE ([Extent2].[IsActive] = 1) AND ([Distinct1].[Name] = [Extent2].[Name]) AND ([Extent2].[Foo] IS NOT NULL)
) AS [Distinct2]) AS [C1]
FROM ( SELECT DISTINCT
[Extent1].[Name] AS [Name]
FROM [dbo].[SomeTable] AS [Extent1]
WHERE [Extent1].[IsActive] = 1
) AS [Distinct1]
) AS [Project3]
) AS [Project5]
与第二版基本相同,但没有工会
结论:
若表非常大且性能至关重要,我会创建一个视图并将其导入模型中。否则,请使用@Servy的第三版或第二版。当然应该测试性能。查询效率极低,因为您在客户端完成了大量工作(构建字典所涉及的一切),而无法使用数据库进行预测。这是一个问题,因为数据库(特别是如果这些值被索引)可以比客户端更快地完成这项工作,而且在数据库上进行投影所涉及的通过网络发送的数据要少得多 因此,只需在分组数据之前进行预测
var activeItems = db.MyEntity.Where(x => x.IsActive);
var query = activeItems.Select(x => new { Name, Value = x.Foo}).Distinct()
.Concat(activeItems.Select(x => new { Name, Value = x.Bar}).Distinct())
.Where(x => x != null)
.GroupBy(pair => pair.Name)
.Select(group => new { group.Key, Count = Group.Count()})
.ToDictionary(pair => pair.Key, pair => pair.Count);
我认为您可以稍微修改您的初始查询,以获得您想要的:
db.MyEntity
.Where(x => x.IsActive)
.GroupBy(x => new { x.Name, x.Foo, x.Bar })
.GroupBy(x => x.Key.Name)
.ToDictionary(x => x.Key, x => x.Count());
将
Count()
添加到第二个分组时,您正在计算由三部分组成的键的重复值。您只想计算每个由三部分组成的键的不同值,因此在按Name
分组后进行计数。为什么需要优化?我认为它无法优化。您可以使用最小的操作集来获得所需的结果。“我尝试按名称、Foo、Bar分组,然后再次按名称分组,并使用计数来获得“行”计数。”看起来这应该已经起作用了-可以吗[发布该查询?@DStanley我添加了双groupby查询这是一个完全等效的查询。Where
后跟一个Count
与接受谓词的Count
完全相同。@Servy,可能是这样,我现在无法检查linq生成了什么语句。为什么会有什么不同呢?它们是概念性的完全相同的操作。您希望它们有什么不同?您正在多次计算重复项。@Servy,thx,已更正。仍然只返回2行。这意味着您不应该将Distinct
与自定义相等比较器一起使用,因为SQL当然不知道如何使用这样的比较器,所以您的选项是在该点将所有数据拉入内存。当您没有自定义的相等比较器时,使用Distinct
完全没有问题。好的,这也是低效的,您正在从数据库中选择所有行。选择与联合等一起进行。@GiorgiNakeuri您认为它会从数据库中选择所有行吗?All它实际上是提取组中项目的名称和计数。@usr编辑后也会首先投影计数。这是数据库应该返回的内容,以便查询有效1A31B1
。您的查询返回C1 C2 C3 C4C5 C6 1 A1 A1 A1 A1 A1 A1 A1 A123 B1 B1
@GiorgiNakeuri我看不出e query最终收回了数吨数据库中根本不存在的数据。听起来你有点奇怪。但是,是的,它在数据库中完成了几乎所有的工作,但不是最后一步。我编辑了它,以便在你最后一条评论之前几分钟在数据库中进行最后的投影,所以即使这样也不再适用是的。当我编辑帖子时,我也意识到:)。但是,当我运行它时,我得到了一个超时。我必须研究一下原因:/