Converting SQL Query in to Linq or in lambda - sql

Question

I am trying to convert it in LINQ but I am not getting success , I would appreciate if someone help me out to convert it in linq or write the query using lambda expression
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'
The result of this query is coming in this way
Category Excellent Very_Good Good Bad Poor
Null 0 0 0 0 0
I have zero feedbacks right now in my table that is why it is showing null in category and all zero's.
My table looks like this
ID QualityOfFood QualityOfServices CleanlinessOfLounge FreindlinessOfStaff OverALLExperience
I asked this type of question but "this type" not the same , so requesting to don't mark it dublicate

Answer 1

I've Found it by using linqer
( 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)
}
)