$_GET
我的数据库中有10个列,如
var fpslist = db.FPSinformations.Where(x => x.Godown_Code != null && x.Godown_Code == godownid).ToList();
var data1 = fpslist.GroupBy(x => x.Ration_Card_Type1)
.Select(x => new
{
CardType_Name = x.Key,
CardType_Count = x.Sum(y => y.Ration_Card_Count1)
}).ToList();
var data2 = fpslist.GroupBy(x => x.Ration_Card_Type2)
.Select(x => new
{
CardType_Name = x.Key,
CardType_Count = x.Sum(y => y.Ration_Card_Count2)
}).ToList();
var data3 = fpslist.GroupBy(x => x.Ration_Card_Type3)
.Select(x => new
{
CardType_Name = x.Key,
CardType_Count = x.Sum(y => y.Ration_Card_Count3)
}).ToList();
var data4 = fpslist.GroupBy(x => x.Ration_Card_Type4)
.Select(x => new
{
CardType_Name = x.Key,
CardType_Count = x.Sum(y => y.Ration_Card_Count4)
}).ToList();
var data5 = fpslist.GroupBy(x => x.Ration_Card_Type5)
.Select(x => new
{
CardType_Name = x.Key,
CardType_Count = x.Sum(y => y.Ration_Card_Count5)
}).ToList();
var GodownRCCount = data1.Where(x => x.CardType_Name != null).ToList();
var GodownRCCounts = GodownRCCount;
GodownRCCount = data2.Where(x => x.CardType_Name != null).ToList();
GodownRCCounts.AddRange(GodownRCCount);
GodownRCCount = data3.Where(x => x.CardType_Name != null).ToList();
GodownRCCounts.AddRange(GodownRCCount);
GodownRCCount = data4.Where(x => x.CardType_Name != null).ToList();
GodownRCCounts.AddRange(GodownRCCount);
GodownRCCount = data5.Where(x => x.CardType_Name != null).ToList();
GodownRCCounts.AddRange(GodownRCCount);
现在我想要的是从其类型中获取Ration_Card_Counts及其类型的总和
预期输出:
Ration_Card_Type1
Ration_card_count1
Ration_Card_Type2
Ration_card_count2
Ration_Card_Type3
Ration_card_count3
Ration_Card_Type4
Ration_card_count4
Ration_Card_Type5
Ration_card_count5
以上代码运行正常,但我想以最大可能的方式对其进行优化,因为这将在一个循环内,并且有大约150万条记录。
由于
答案 0 :(得分:1)
您可以使用SQL重写相同的查询并放置一些索引(性能):
SELECT Ration_Card_Type = Ration_Card_Type1, Ration_Card_Count = sum(Ration_card_count1)
FROM
FPSinformations
GROUP BY
Ration_Card_Type1
UNION
SELECT Ration_Card_Type = Ration_Card_Type2, Ration_Card_Count = sum(Ration_card_count2)
FROM
FPSinformations
GROUP BY
Ration_Card_Type2
UNION
SELECT Ration_Card_Type = Ration_Card_Type3, Ration_Card_Count = sum(Ration_card_count3)
FROM
FPSinformations
GROUP BY
Ration_Card_Type3
UNION
SELECT Ration_Card_Type = Ration_Card_Type4, Ration_Card_Count = sum(Ration_card_count4)
FROM
FPSinformations
GROUP BY
Ration_Card_Type4
UNION
SELECT Ration_Card_Type = Ration_Card_Type5, Ration_Card_Count = sum(Ration_card_count5)
FROM
FPSinformations
GROUP BY
Ration_Card_Type5
我不确定但是这个问题让我想到 UNPIVOT 也许你也可以在这方面进行调查。
答案 1 :(得分:1)
Union应该比AddRange运行得更快! 您可以尝试以下方法:
var data = (from g in fpslist.GroupBy(x => x.Ration_Card_Type1).Select(x => new
{
CardType_Name = x.Key,
CardType_Count = x.Sum(y => y.Ration_Card_Count1)
}).Union(
fpslist.GroupBy(x => x.Ration_Card_Type2).Select(x => new
{
CardType_Name = x.Key,
CardType_Count = x.Sum(y => y.Ration_Card_Count2)
})).Union(
fpslist.GroupBy(x => x.Ration_Card_Type3).Select(x => new
{
CardType_Name = x.Key,
CardType_Count = x.Sum(y => y.Ration_Card_Count3)
})).Union(
fpslist.GroupBy(x => x.Ration_Card_Type4).Select(x => new
{
CardType_Name = x.Key,
CardType_Count = x.Sum(y => y.Ration_Card_Count4)
})).Union(
fpslist.GroupBy(x => x.Ration_Card_Type5).Select(x => new
{
CardType_Name = x.Key,
CardType_Count = x.Sum(y => y.Ration_Card_Count5)
}))
select g).ToList();
一般来说,分组我会和托马斯一起去! 数据库分组对我来说要好得多,因为你需要聚合所需的数据,因此通过网络传输的数据要少得多!