我正在尝试在LINQ中转换它，但我没有获得成功，如果有人帮助我在linq中转换它或使用lambda表达式编写查询，我将不胜感激
SELECT MAX('Quality Of Service') AS Category,
COUNT(CASE WHEN t.QualityOfService = 'Excellent' THEN 1 END) AS Excellent,
COUNT(CASE WHEN t.QualityOfService = 'VeryGood' THEN 1 END) AS Very_Good,
COUNT(CASE WHEN t.QualityOfService = 'Good' THEN 1 END) AS Good,
COUNT(CASE WHEN t.QualityOfService = 'Bad' THEN 1 END) AS Bad,
COUNT(CASE WHEN t.QualityOfService = 'Poor' THEN 1 END) AS Poor
FROM Feedbacks t
WHERE t.DateOfVisit BETWEEN '2018-03-29' AND '2018-03-29'
UNION
SELECT MAX('Quality Of Food') AS Category,
COUNT(CASE WHEN t.QualityOfFood = 'Excellent' THEN 1 END) AS Excellent,
COUNT(CASE WHEN t.QualityOfFood = 'VeryGood' THEN 1 END) AS Very_Good,
COUNT(CASE WHEN t.QualityOfFood = 'Good' THEN 1 END) AS Good,
COUNT(CASE WHEN t.QualityOfFood = 'Bad' THEN 1 END) AS Bad,
COUNT(CASE WHEN t.QualityOfFood = 'Poor' THEN 1 END) AS Poor
FROM Feedbacks t
WHERE t.DateOfVisit BETWEEN '2018-03-29' AND '2018-03-29'
UNION
SELECT MAX('Cleanliness Of Lounge') AS Category,
COUNT(CASE WHEN t.CleanlinessOfLounge = 'Excellent' THEN 1 END) AS Excellent,
COUNT(CASE WHEN t.CleanlinessOfLounge = 'VeryGood' THEN 1 END) AS Very_Good,
COUNT(CASE WHEN t.CleanlinessOfLounge = 'Good' THEN 1 END) AS Good,
COUNT(CASE WHEN t.CleanlinessOfLounge = 'Bad' THEN 1 END) AS Bad,
COUNT(CASE WHEN t.CleanlinessOfLounge = 'Poor' THEN 1 END) AS Poor
FROM Feedbacks t
WHERE t.DateOfVisit BETWEEN '2018-03-29' AND '2018-03-29'
UNION
SELECT MAX('Friendliness Of Staff') AS Category,
COUNT(CASE WHEN t.FriendlinessOfStaff = 'Excellent' THEN 1 END) AS Excellent,
COUNT(CASE WHEN t.FriendlinessOfStaff = 'VeryGood' THEN 1 END) AS Very_Good,
COUNT(CASE WHEN t.FriendlinessOfStaff = 'Good' THEN 1 END) AS Good,
COUNT(CASE WHEN t.FriendlinessOfStaff = 'Bad' THEN 1 END) AS Bad,
COUNT(CASE WHEN t.FriendlinessOfStaff = 'Poor' THEN 1 END) AS Poor
FROM Feedbacks t
WHERE t.DateOfVisit BETWEEN '2018-03-29' AND '2018-03-29'
UNION
SELECT MAX('Overall Experience') AS Category,
COUNT(CASE WHEN t.OverAllExperience = 'Excellent' THEN 1 END) AS Excellent,
COUNT(CASE WHEN t.OverAllExperience = 'VeryGood' THEN 1 END) AS Very_Good,
COUNT(CASE WHEN t.OverAllExperience = 'Good' THEN 1 END) AS Good,
COUNT(CASE WHEN t.OverAllExperience = 'Bad' THEN 1 END) AS Bad,
COUNT(CASE WHEN t.OverAllExperience = 'Poor' THEN 1 END) AS Poor
FROM Feedbacks t
WHERE t.DateOfVisit BETWEEN '2018-03-29' AND '2018-03-29'
此查询的结果以这种方式出现
Category Excellent Very_Good Good Bad Poor
Null 0 0 0 0 0
我现在在我的表中没有反馈，这就是为什么它在类别中显示为null并且全部为零。
我的表格看起来像这样
ID QualityOfFood QualityOfServices CleanlinessOfLounge FreindlinessOfStaff OverALLExperience
我问过这类问题，但“这种类型”不一样，所以请求不要将其标记为dublicate
答案 0 :(得分：0)
我已经使用linqer
找到了它 ( from t in
( from t in db.Feedbacks
where
t.DateOfVisit >= "2018-03-29" && t.DateOfVisit <= "2018-03-29"
select new {
Column1 = "Quality Of Service",
Column2 =
t.QualityOfService == "Excellent" ? (System.Int64?)1 : null,
Column3 =
t.QualityOfService == "VeryGood" ? (System.Int64?)1 : null,
Column4 =
t.QualityOfService == "Good" ? (System.Int64?)1 : null,
Column5 =
t.QualityOfService == "Bad" ? (System.Int64?)1 : null,
Column6 =
t.QualityOfService == "Poor" ? (System.Int64?)1 : null,
Dummy = "x"
})
group t by new { t.Dummy } into g
select new {
Category = g.Max(p => "Quality Of Service"),
Excellent = g.Count(p => p.Column2 != null),
Very_Good = g.Count(p => p.Column3 != null),
Good = g.Count(p => p.Column4 != null),
Bad = g.Count(p => p.Column5 != null),
Poor = g.Count(p => p.Column6 != null)
}
).Union
( from t in
( from t in db.Feedbacks
where
t.DateOfVisit >= "2018-03-29" && t.DateOfVisit <= "2018-03-29"
select new {
Column1 = "Quality Of Food",
Column2 =
t.QualityOfFood == "Excellent" ? (System.Int64?)1 : null,
Column3 =
t.QualityOfFood == "VeryGood" ? (System.Int64?)1 : null,
Column4 =
t.QualityOfFood == "Good" ? (System.Int64?)1 : null,
Column5 =
t.QualityOfFood == "Bad" ? (System.Int64?)1 : null,
Column6 =
t.QualityOfFood == "Poor" ? (System.Int64?)1 : null,
Dummy = "x"
})
group t by new { t.Dummy } into g
select new {
Category = g.Max(p => "Quality Of Food"),
Excellent = g.Count(p => p.Column2 != null),
Very_Good = g.Count(p => p.Column3 != null),
Good = g.Count(p => p.Column4 != null),
Bad = g.Count(p => p.Column5 != null),
Poor = g.Count(p => p.Column6 != null)
}
).Union
( from t in
( from t in db.Feedbacks
where
t.DateOfVisit >= "2018-03-29" && t.DateOfVisit <= "2018-03-29"
select new {
Column1 = "Cleanliness Of Lounge",
Column2 =
t.CleanlinessOfLounge == "Excellent" ? (System.Int64?)1 : null,
Column3 =
t.CleanlinessOfLounge == "VeryGood" ? (System.Int64?)1 : null,
Column4 =
t.CleanlinessOfLounge == "Good" ? (System.Int64?)1 : null,
Column5 =
t.CleanlinessOfLounge == "Bad" ? (System.Int64?)1 : null,
Column6 =
t.CleanlinessOfLounge == "Poor" ? (System.Int64?)1 : null,
Dummy = "x"
})
group t by new { t.Dummy } into g
select new {
Category = g.Max(p => "Cleanliness Of Lounge"),
Excellent = g.Count(p => p.Column2 != null),
Very_Good = g.Count(p => p.Column3 != null),
Good = g.Count(p => p.Column4 != null),
Bad = g.Count(p => p.Column5 != null),
Poor = g.Count(p => p.Column6 != null)
}
).Union
( from t in
( from t in db.Feedbacks
where
t.DateOfVisit >= "2018-03-29" && t.DateOfVisit <= "2018-03-29"
select new {
Column1 = "Friendliness Of Staff",
Column2 =
t.FriendlinessOfStaff == "Excellent" ? (System.Int64?)1 : null,
Column3 =
t.FriendlinessOfStaff == "VeryGood" ? (System.Int64?)1 : null,
Column4 =
t.FriendlinessOfStaff == "Good" ? (System.Int64?)1 : null,
Column5 =
t.FriendlinessOfStaff == "Bad" ? (System.Int64?)1 : null,
Column6 =
t.FriendlinessOfStaff == "Poor" ? (System.Int64?)1 : null,
Dummy = "x"
})
group t by new { t.Dummy } into g
select new {
Category = g.Max(p => "Friendliness Of Staff"),
Excellent = g.Count(p => p.Column2 != null),
Very_Good = g.Count(p => p.Column3 != null),
Good = g.Count(p => p.Column4 != null),
Bad = g.Count(p => p.Column5 != null),
Poor = g.Count(p => p.Column6 != null)
}
).Union
( from t in
( from t in db.Feedbacks
where
t.DateOfVisit >= "2018-03-29" && t.DateOfVisit <= "2018-03-29"
select new {
Column1 = "Overall Experience",
Column2 =
t.OverAllExperience == "Excellent" ? (System.Int64?)1 : null,
Column3 =
t.OverAllExperience == "VeryGood" ? (System.Int64?)1 : null,
Column4 =
t.OverAllExperience == "Good" ? (System.Int64?)1 : null,
Column5 =
t.OverAllExperience == "Bad" ? (System.Int64?)1 : null,
Column6 =
t.OverAllExperience == "Poor" ? (System.Int64?)1 : null,
Dummy = "x"
})
group t by new { t.Dummy } into g
select new {
Category = g.Max(p => "Overall Experience"),
Excellent = g.Count(p => p.Column2 != null),
Very_Good = g.Count(p => p.Column3 != null),
Good = g.Count(p => p.Column4 != null),
Bad = g.Count(p => p.Column5 != null),
Poor = g.Count(p => p.Column6 != null)
}
)