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Sum Columns from joined tables to get a calculated value using Linq to SQL

In the above diagram for each customer I want to select all orders and then for each order I have calculate a TotalPrice = (Sum of all Food Items included in order * Quantity) + ExtraPrice. I am struggling to create a query for it using linq to sql.

var res = (from a in dc.orders
join b in dc.orderLines on a.orderId equals b.fk_orderId
join c in dc.foodItems on b.fk_foodId equals c.foodId
where a.fk_custId == cID
group new { a,c,b } by a into g
select new
{
OID1 = g.Key.orderId,
date1 = g.Key.date.Value.Date,
price1 = g.Sum(x => x.c.price * x.b.quantity) + g.Key.orderLines.Select(o => o.extraPrice).Sum()
});
Given above is linq query I was looking for.

Should be something close to this. I'm not around a computer to test so let me know if you get errors.
db.orders.Select(o => new { o.orderid, o.date, TotalPrice = ( (o.orderLines.Select(ol => ol.food items.Count()).Sum() * o.Quantity) + o.extraPrice) } )

Convert sql query to linq in C#

Hi Could any one help how to write this below query in Linq C#
select YearValue from [Information].Year
where YearId in (select max(YearId) from curreny where BudgetCodeId = 2)
Here's what I've tried:
var maxYear =
from year in dbContext.Years
join exchange in dbContext.CurrencyExchangeRates
on year.YearId equals exchange.YearId
where exchange.BudgetCodeId == budgetCodeId
orderby year.YearValue descending
select new { yearValue = year.YearValue };

This is what you're looking for:
var maxYear = from year in dbContext.Years where (from exchange in dbContext.CurrencyExchangeRates where exchange.BudgetCodeId == 2 select exchange)
.Max(m => m.YearId) ==
year.YearId select year.YearValue;
int mYear = maxYear.First();

Converting SQL to Linq in c#

I am trying to convert some SQL Code to c# Linq:
SELECT Username, Count(Ticket.TicketId) as 'Tickets Completed'
FROM Ticket
INNER JOIN TicketStatus ON Ticket.TicketStatusID = TicketStatus.TicketStatusID
INNER JOIN Membership ON Ticket.CompletedBy = Membership.UserId
WHERE Ticket.ClosedDate >= #StartDate
and Ticket.ClosedDate <= #EndDate
GROUP BY Username
ORDER BY 'Tickets Completed' DESC
which displays
Paul 6
Mike 4
Donna 3
Elliot 2
I tried to use Linqer which made this more complicated and didnt return any results:
var query = from Ticket in data.Tickets
join Membership in data.Memberships on new { CompletedBy = Guid.Parse(Ticket.CompletedBy.ToString()) } equals new { CompletedBy = Membership.UserId }
where
Ticket.ClosedDate >= StartDate &&
Ticket.ClosedDate <= EndDate
group new { Membership, Ticket } by new
{
Membership.Username
} into g
orderby
"Tickets Completed" descending
select new
{
Username = g.Key.Username,
Completed = g.Count(p => p.Ticket.TicketID > 0)
};
Your help would be appreciated.
Thanks

Assuming CompletedBy and UserId columns are both uniqueidentifier in the database, you shouldn't need to do any type conversion.
var query = from t in db.ticket
join ts in db.ticketStatus
on t.TicketStatus.ID equals ts.TicketStatusID
join m in db.Membership
on t.CompletedBy equals m.UserId
where t.ClosedDate >= startDate
&& t.closedDate <= endDate
group t by m.UserName into tGroup
order by tGroup.Count(t=> t.TicketId) decending
select new {
UserName = tGroup.Key,
TicketCount = tGroup.Count()
};

How to merge 5 different type of linq queries into one based on a column

I am really confused on a report I need. As of today, most of my reports were simple, so I was able to do them myself easily. But being a newbie in sql/dlinq, I cannot find my way through the following:
var closingStock =
(from p in session.Query<Product>()
select new
{
p.Id,
p.Name,
p.Batch,
p.Rate,
ClosingStock = p.Quantity - p.AllocatedQuantity,
p.DivisionId
}).ToList();
var distributedQuantityAfterPeriod =
(from i in session.Query<OutwardInvoiceItem>()
where i.ParentInvoice.Date > ToDate
select new
{
Id = i.Product.Id,
DistributedAfter = i.Quantity
}).ToList();
var distributedQuantityInPeriod =
(from i in session.Query<OutwardInvoiceItem>()
where i.ParentInvoice.Date >= FromDate && i.ParentInvoice.Date <= ToDate
select new
{
Id = i.Product.Id,
Distributed = i.Quantity
}).ToList();
var receivedQuantityAfterPeriod =
(from i in session.Query<InwardInvoiceItem>()
where i.ParentInvoice.Date > ToDate
select new
{
Id = i.Product.Id,
ReceivedAfter = i.Quantity
}).ToList();
var receivedQuantityInPeriod =
(from i in session.Query<InwardInvoiceItem>()
where i.ParentInvoice.Date >= FromDate && i.ParentInvoice.Date <= ToDate
select new
{
Id = i.Product.Id,
Received = i.Quantity
}).ToList();
As you can see, I am trying to build a inventory movement report for a specific date. I have the following problems:
1. How can I reduce the five queries? Is it possible?
2. How can I merge the data provided by these queries into one table which is grouped on the product id and summed on the quantity related columns? As of now, I am using for loops which are really slow.
What I am using:
C# 4, nHibernate, Sqlite
Any help will be very highly appreciated.
Regards,
Yogesh.

to reduce roundtrips use .Future() instead of .List()
let all queries return
group i by i.Id into g
select new
{
Id = g.Key,
Quantity = g.Sum(x => x.Quantity)
}).Future();
and do
var alltogether = groupedDistributedQuantityAfterPeriod
.Concat(groupedDistributedQuantityInPeriod)
.Concate(...);
from g in alltogether
group g by g.key into all
select new
{
Id = all.Key,
Quantity = all.Sum(x => x.Quantity)
};
Update:
you can reduce the number of queries with
from i in session.Query<OutwardInvoiceItem>()
where (i.ParentInvoice.Date > ToDate) || (i.ParentInvoice.Date >= FromDate && i.ParentInvoice.Date <= ToDate)
select ...
from i in session.Query<InwardInvoiceItem>()
where (i.ParentInvoice.Date > ToDate) || (i.ParentInvoice.Date >= FromDate && i.ParentInvoice.Date <= ToDate)
select ...

Grouping 2 Tables, Counting Values And Then Saving The Results In A Dictionary

So I have an SQL statement looks like this
SELECT T1.NAME, COUNT(T2.VALUE) AS numInstances
FROM TABLE2 T2 LEFT OUTER JOIN
TABLE1 T1 on T2.NAME_ID = T1.NAME_ID
WHERE (T2.DATE BETWEEN to_date('01-Aug-2011', 'dd-mon-yyyy')
AND to_date('31-Aug-2011' , 'dd-mon-yyyy')) AND T2.VALUE = 1))
GROUP BY T1.NAME
This statement looks for when names to match in the 2 tables and then find all '1' values (these relate to something like sick day, worked, day off, ect) in the month of august and then count how many of each I have. This SQL statement works great but I'm using MVC .NET in C# and need this to be a LINQ statement that generates a Dictionary.
So i would like the Dictionary to look something like,
NAME VALUECOUNT
John 8
Joe 1
Eric 0
I've tried
Dictionary<string,int> results =
(from t2 in db.table2.Where(t2 => m.Value == 1)
from t1 in db.table1
where(t2.DATE >= new DateTime(2011,8,1) && t2.DATE <= new DateTme(2011,8,31)
orderby t1.NAME
group new{T2, T1} by new {t2.VALUE, t1.NAME} into g
select new {
new KeyValuePair<string,int>(
g.Key.NAME,
(int)g.sum(g => g.Key.Value))
}).AsEnumerable().ToDictionary();
Ideas?

using(DbEntities db = new DbEntities())
{
var fromDate = new DateTime(2011,8,1);
var toDate = new DateTime(2011,8,31);
var dictionary =
(from t1 in db.TABLE1
join t2 in db.TABLE2.Where(x => x.VALUE == 1 && x.DATE >= fromDate && x.DATE <= toDate)
on t1.NAME_ID equals t2.NAME_ID into t2_j
from t2s in t2_j.DefaultIfEmpty()
group t2s by t1.NAME into grouped
select new { Name = grouped.Key, Count = grouped.Sum(x => x.VALUE) }).
Where(x => x.Count.HasValue).
ToDictionary(o => o.Name,o => o.Count);
return dictionary;
}