Setting specific values of a list : LINQ - linq

I have a listA that contains objects with the following properties x,y,z.
also i have another listB that contain similar objects.
Now i want to select all the objects present in listA and at the same time set the z property of those objects whose A.x==B.x && A.y==B.y
List<Point> listA = //list of objects
List<Point> listB = //list of points
How do i do this?

To modify listA with respect to your needs you can use following LINQ:
listA.ForEach(pA => pA.Z = listB.Where(pB => pA.X == pB.X && pA.Y == pB.Y)
.DefaultIfEmpty(pA)
.First()
.Z);
Then you can simply select all listA elements.

Not sure if following is what you want:
using System;
using System.Linq;
using System.Collections.Generic;
class A
{
public double X {get; set;}
public double Y {get; set;}
public double Z {get; set;}
}
class B
{
public double X {get; set;}
public double Y {get; set;}
public double Z {get; set;}
}
public class Program
{
public void Main()
{
var listA = new List<A>
{
new A {X = 1, Y = 2, Z = 3}
};
var listB = new List<B>
{
new B {X = 1, Y = 2, Z = 3}
};
var result = from a in listA
from b in listB
select new A
{
X = a.X,
Y = a.Y,
Z = (a.X == b.X && a.Y == b.Y) == true ? 0 : 10
};
foreach(var r in result)
Console.WriteLine(
String.Format("{0}, {1}, {2}", r.X, r.Y, r.Z));
// output: 1, 2, 0 because a.X == b.X && a.Y == b.Y
}
}
So Z is set to 0 based on a.X == b.X && a.Y == b.Y. If this condition wasn't satisfied, it would be set to 10. You can obviously decide what Z is set to yourself.

Related

Linq left outer join doesn't work while matching sql does [duplicate]

How to perform left outer join in C# LINQ to objects without using join-on-equals-into clauses? Is there any way to do that with where clause?
Correct problem:
For inner join is easy and I have a solution like this
List<JoinPair> innerFinal = (from l in lefts from r in rights where l.Key == r.Key
select new JoinPair { LeftId = l.Id, RightId = r.Id})
but for left outer join I need a solution. Mine is something like this but it's not working
List< JoinPair> leftFinal = (from l in lefts from r in rights
select new JoinPair {
LeftId = l.Id,
RightId = ((l.Key==r.Key) ? r.Id : 0
})
where JoinPair is a class:
public class JoinPair { long leftId; long rightId; }
As stated in "Perform left outer joins":
var q =
from c in categories
join pt in products on c.Category equals pt.Category into ps_jointable
from p in ps_jointable.DefaultIfEmpty()
select new { Category = c, ProductName = p == null ? "(No products)" : p.ProductName };
If a database driven LINQ provider is used, a significantly more readable left outer join can be written as such:
from c in categories
from p in products.Where(c == p.Category).DefaultIfEmpty()
If you omit the DefaultIfEmpty() you will have an inner join.
Take the accepted answer:
from c in categories
join p in products on c equals p.Category into ps
from p in ps.DefaultIfEmpty()
This syntax is very confusing, and it's not clear how it works when you want to left join MULTIPLE tables.
Note
It should be noted that from alias in Repo.whatever.Where(condition).DefaultIfEmpty() is the same as an outer-apply/left-join-lateral, which any (decent) database-optimizer is perfectly capable of translating into a left join, as long as you don't introduce per-row-values (aka an actual outer apply). Don't do this in Linq-2-Objects (because there's no DB-optimizer when you use Linq-to-Objects).
Detailed Example
var query2 = (
from users in Repo.T_User
from mappings in Repo.T_User_Group
.Where(mapping => mapping.USRGRP_USR == users.USR_ID)
.DefaultIfEmpty() // <== makes join left join
from groups in Repo.T_Group
.Where(gruppe => gruppe.GRP_ID == mappings.USRGRP_GRP)
.DefaultIfEmpty() // <== makes join left join
// where users.USR_Name.Contains(keyword)
// || mappings.USRGRP_USR.Equals(666)
// || mappings.USRGRP_USR == 666
// || groups.Name.Contains(keyword)
select new
{
UserId = users.USR_ID
,UserName = users.USR_User
,UserGroupId = groups.ID
,GroupName = groups.Name
}
);
var xy = (query2).ToList();
When used with LINQ 2 SQL it will translate nicely to the following very legible SQL query:
SELECT
users.USR_ID AS UserId
,users.USR_User AS UserName
,groups.ID AS UserGroupId
,groups.Name AS GroupName
FROM T_User AS users
LEFT JOIN T_User_Group AS mappings
ON mappings.USRGRP_USR = users.USR_ID
LEFT JOIN T_Group AS groups
ON groups.GRP_ID == mappings.USRGRP_GRP
Edit:
See also "
Convert SQL Server query to Linq query "
for a more complex example.
Also, If you're doing it in Linq-2-Objects (instead of Linq-2-SQL), you should do it the old-fashioned way (because LINQ to SQL translates this correctly to join operations, but over objects this method forces a full scan, and doesn't take advantage of index searches, whyever...):
var query2 = (
from users in Repo.T_Benutzer
join mappings in Repo.T_Benutzer_Benutzergruppen on mappings.BEBG_BE equals users.BE_ID into tmpMapp
join groups in Repo.T_Benutzergruppen on groups.ID equals mappings.BEBG_BG into tmpGroups
from mappings in tmpMapp.DefaultIfEmpty()
from groups in tmpGroups.DefaultIfEmpty()
select new
{
UserId = users.BE_ID
,UserName = users.BE_User
,UserGroupId = mappings.BEBG_BG
,GroupName = groups.Name
}
);
Using lambda expression
db.Categories
.GroupJoin(db.Products,
Category => Category.CategoryId,
Product => Product.CategoryId,
(x, y) => new { Category = x, Products = y })
.SelectMany(
xy => xy.Products.DefaultIfEmpty(),
(x, y) => new { Category = x.Category, Product = y })
.Select(s => new
{
CategoryName = s.Category.Name,
ProductName = s.Product.Name
});
Now as an extension method:
public static class LinqExt
{
public static IEnumerable<TResult> LeftOuterJoin<TLeft, TRight, TKey, TResult>(this IEnumerable<TLeft> left, IEnumerable<TRight> right, Func<TLeft, TKey> leftKey, Func<TRight, TKey> rightKey,
Func<TLeft, TRight, TResult> result)
{
return left.GroupJoin(right, leftKey, rightKey, (l, r) => new { l, r })
.SelectMany(
o => o.r.DefaultIfEmpty(),
(l, r) => new { lft= l.l, rght = r })
.Select(o => result.Invoke(o.lft, o.rght));
}
}
Use like you would normally use join:
var contents = list.LeftOuterJoin(list2,
l => l.country,
r => r.name,
(l, r) => new { count = l.Count(), l.country, l.reason, r.people })
Hope this saves you some time.
Take a look at this example.
This query should work:
var leftFinal = from left in lefts
join right in rights on left equals right.Left into leftRights
from leftRight in leftRights.DefaultIfEmpty()
select new { LeftId = left.Id, RightId = left.Key==leftRight.Key ? leftRight.Id : 0 };
An implementation of left outer join by extension methods could look like
public static IEnumerable<Result> LeftJoin<TOuter, TInner, TKey, Result>(
this IEnumerable<TOuter> outer, IEnumerable<TInner> inner
, Func<TOuter, TKey> outerKeySelector, Func<TInner, TKey> innerKeySelector
, Func<TOuter, TInner, Result> resultSelector, IEqualityComparer<TKey> comparer)
{
if (outer == null)
throw new ArgumentException("outer");
if (inner == null)
throw new ArgumentException("inner");
if (outerKeySelector == null)
throw new ArgumentException("outerKeySelector");
if (innerKeySelector == null)
throw new ArgumentException("innerKeySelector");
if (resultSelector == null)
throw new ArgumentException("resultSelector");
return LeftJoinImpl(outer, inner, outerKeySelector, innerKeySelector, resultSelector, comparer ?? EqualityComparer<TKey>.Default);
}
static IEnumerable<Result> LeftJoinImpl<TOuter, TInner, TKey, Result>(
IEnumerable<TOuter> outer, IEnumerable<TInner> inner
, Func<TOuter, TKey> outerKeySelector, Func<TInner, TKey> innerKeySelector
, Func<TOuter, TInner, Result> resultSelector, IEqualityComparer<TKey> comparer)
{
var innerLookup = inner.ToLookup(innerKeySelector, comparer);
foreach (var outerElment in outer)
{
var outerKey = outerKeySelector(outerElment);
var innerElements = innerLookup[outerKey];
if (innerElements.Any())
foreach (var innerElement in innerElements)
yield return resultSelector(outerElment, innerElement);
else
yield return resultSelector(outerElment, default(TInner));
}
}
The resultselector then has to take care of the null elements. Fx.
static void Main(string[] args)
{
var inner = new[] { Tuple.Create(1, "1"), Tuple.Create(2, "2"), Tuple.Create(3, "3") };
var outer = new[] { Tuple.Create(1, "11"), Tuple.Create(2, "22") };
var res = outer.LeftJoin(inner, item => item.Item1, item => item.Item1, (it1, it2) =>
new { Key = it1.Item1, V1 = it1.Item2, V2 = it2 != null ? it2.Item2 : default(string) });
foreach (var item in res)
Console.WriteLine(string.Format("{0}, {1}, {2}", item.Key, item.V1, item.V2));
}
take look at this example
class Person
{
public int ID { get; set; }
public string FirstName { get; set; }
public string LastName { get; set; }
public string Phone { get; set; }
}
class Pet
{
public string Name { get; set; }
public Person Owner { get; set; }
}
public static void LeftOuterJoinExample()
{
Person magnus = new Person {ID = 1, FirstName = "Magnus", LastName = "Hedlund"};
Person terry = new Person {ID = 2, FirstName = "Terry", LastName = "Adams"};
Person charlotte = new Person {ID = 3, FirstName = "Charlotte", LastName = "Weiss"};
Person arlene = new Person {ID = 4, FirstName = "Arlene", LastName = "Huff"};
Pet barley = new Pet {Name = "Barley", Owner = terry};
Pet boots = new Pet {Name = "Boots", Owner = terry};
Pet whiskers = new Pet {Name = "Whiskers", Owner = charlotte};
Pet bluemoon = new Pet {Name = "Blue Moon", Owner = terry};
Pet daisy = new Pet {Name = "Daisy", Owner = magnus};
// Create two lists.
List<Person> people = new List<Person> {magnus, terry, charlotte, arlene};
List<Pet> pets = new List<Pet> {barley, boots, whiskers, bluemoon, daisy};
var query = from person in people
where person.ID == 4
join pet in pets on person equals pet.Owner into personpets
from petOrNull in personpets.DefaultIfEmpty()
select new { Person=person, Pet = petOrNull};
foreach (var v in query )
{
Console.WriteLine("{0,-15}{1}", v.Person.FirstName + ":", (v.Pet == null ? "Does not Exist" : v.Pet.Name));
}
}
// This code produces the following output:
//
// Magnus: Daisy
// Terry: Barley
// Terry: Boots
// Terry: Blue Moon
// Charlotte: Whiskers
// Arlene:
now you are able to include elements from the left even if that element has no matches in the right, in our case we retrived Arlene even he has no matching in the right
here is the reference
How to: Perform Left Outer Joins (C# Programming Guide)
This is the general form (as already provided in other answers)
var c =
from a in alpha
join b in beta on b.field1 equals a.field1 into b_temp
from b_value in b_temp.DefaultIfEmpty()
select new { Alpha = a, Beta = b_value };
However here's an explanation that I hope will clarify what this actually means!
join b in beta on b.field1 equals a.field1 into b_temp
essentially creates a separate result set b_temp that effectively includes null 'rows' for entries on the right hand side (entries in 'b').
Then the next line:
from b_value in b_temp.DefaultIfEmpty()
..iterates over that result set, setting the default null value for the 'row' on the right hand side, and setting the result of the right hand side row join to the value of 'b_value' (i.e. the value that's on the right hand side,if there's a matching record, or 'null' if there isn't).
Now, if the right hand side is the result of a separate LINQ query, it will consist of anonymous types, which can only either be 'something' or 'null'. If it's an enumerable however (e.g. a List - where MyObjectB is a class with 2 fields), then it's possible to be specific about what default 'null' values are used for its properties:
var c =
from a in alpha
join b in beta on b.field1 equals a.field1 into b_temp
from b_value in b_temp.DefaultIfEmpty( new MyObjectB { Field1 = String.Empty, Field2 = (DateTime?) null })
select new { Alpha = a, Beta_field1 = b_value.Field1, Beta_field2 = b_value.Field2 };
This ensures that 'b' itself isn't null (but its properties can be null, using the default null values that you've specified), and this allows you to check properties of b_value without getting a null reference exception for b_value. Note that for a nullable DateTime, a type of (DateTime?) i.e. 'nullable DateTime' must be specified as the 'Type' of the null in the specification for the 'DefaultIfEmpty' (this will also apply to types that are not 'natively' nullable e.g double, float).
You can perform multiple left outer joins by simply chaining the above syntax.
Here's an example if you need to join more than 2 tables:
from d in context.dc_tpatient_bookingd
join bookingm in context.dc_tpatient_bookingm
on d.bookingid equals bookingm.bookingid into bookingmGroup
from m in bookingmGroup.DefaultIfEmpty()
join patient in dc_tpatient
on m.prid equals patient.prid into patientGroup
from p in patientGroup.DefaultIfEmpty()
Ref: https://stackoverflow.com/a/17142392/2343
Here is a fairly easy to understand version using method syntax:
IEnumerable<JoinPair> outerLeft =
lefts.SelectMany(l =>
rights.Where(r => l.Key == r.Key)
.DefaultIfEmpty(new Item())
.Select(r => new JoinPair { LeftId = l.Id, RightId = r.Id }));
Extension method that works like left join with Join syntax
public static class LinQExtensions
{
public static IEnumerable<TResult> LeftJoin<TOuter, TInner, TKey, TResult>(
this IEnumerable<TOuter> outer, IEnumerable<TInner> inner,
Func<TOuter, TKey> outerKeySelector,
Func<TInner, TKey> innerKeySelector,
Func<TOuter, TInner, TResult> resultSelector)
{
return outer.GroupJoin(
inner,
outerKeySelector,
innerKeySelector,
(outerElement, innerElements) => resultSelector(outerElement, innerElements.FirstOrDefault()));
}
}
just wrote it in .NET core and it seems to be working as expected.
Small test:
var Ids = new List<int> { 1, 2, 3, 4};
var items = new List<Tuple<int, string>>
{
new Tuple<int, string>(1,"a"),
new Tuple<int, string>(2,"b"),
new Tuple<int, string>(4,"d"),
new Tuple<int, string>(5,"e"),
};
var result = Ids.LeftJoin(
items,
id => id,
item => item.Item1,
(id, item) => item ?? new Tuple<int, string>(id, "not found"));
result.ToList()
Count = 4
[0]: {(1, a)}
[1]: {(2, b)}
[2]: {(3, not found)}
[3]: {(4, d)}
I would like to add that if you get the MoreLinq extension there is now support for both homogenous and heterogeneous left joins now
http://morelinq.github.io/2.8/ref/api/html/Overload_MoreLinq_MoreEnumerable_LeftJoin.htm
example:
//Pretend a ClientCompany object and an Employee object both have a ClientCompanyID key on them
return DataContext.ClientCompany
.LeftJoin(DataContext.Employees, //Table being joined
company => company.ClientCompanyID, //First key
employee => employee.ClientCompanyID, //Second Key
company => new {company, employee = (Employee)null}, //Result selector when there isn't a match
(company, employee) => new { company, employee }); //Result selector when there is a match
EDIT:
In retrospect this may work, but it converts the IQueryable to an IEnumerable as morelinq does not convert the query to SQL.
You can instead use a GroupJoin as described here: https://stackoverflow.com/a/24273804/4251433
This will ensure that it stays as an IQueryable in case you need to do further logical operations on it later.
There are three tables: persons, schools and persons_schools, which connects persons to the schools they study in. A reference to the person with id=6 is absent in the table persons_schools. However the person with id=6 is presented in the result lef-joined grid.
List<Person> persons = new List<Person>
{
new Person { id = 1, name = "Alex", phone = "4235234" },
new Person { id = 2, name = "Bob", phone = "0014352" },
new Person { id = 3, name = "Sam", phone = "1345" },
new Person { id = 4, name = "Den", phone = "3453452" },
new Person { id = 5, name = "Alen", phone = "0353012" },
new Person { id = 6, name = "Simon", phone = "0353012" }
};
List<School> schools = new List<School>
{
new School { id = 1, name = "Saint. John's school"},
new School { id = 2, name = "Public School 200"},
new School { id = 3, name = "Public School 203"}
};
List<PersonSchool> persons_schools = new List<PersonSchool>
{
new PersonSchool{id_person = 1, id_school = 1},
new PersonSchool{id_person = 2, id_school = 2},
new PersonSchool{id_person = 3, id_school = 3},
new PersonSchool{id_person = 4, id_school = 1},
new PersonSchool{id_person = 5, id_school = 2}
//a relation to the person with id=6 is absent
};
var query = from person in persons
join person_school in persons_schools on person.id equals person_school.id_person
into persons_schools_joined
from person_school_joined in persons_schools_joined.DefaultIfEmpty()
from school in schools.Where(var_school => person_school_joined == null ? false : var_school.id == person_school_joined.id_school).DefaultIfEmpty()
select new { Person = person.name, School = school == null ? String.Empty : school.name };
foreach (var elem in query)
{
System.Console.WriteLine("{0},{1}", elem.Person, elem.School);
}
Easy way is to use Let keyword. This works for me.
from AItem in Db.A
Let BItem = Db.B.Where(x => x.id == AItem.id ).FirstOrDefault()
Where SomeCondition
Select new YourViewModel
{
X1 = AItem.a,
X2 = AItem.b,
X3 = BItem.c
}
This is a simulation of Left Join. If each item in B table not match to A item , BItem return null
This is a SQL syntax compare to LINQ syntax for inner and left outer joins.
Left Outer Join:
http://www.ozkary.com/2011/07/linq-to-entity-inner-and-left-joins.html
"The following example does a group join between product and category. This is essentially the left join. The into expression returns data even if the category table is empty. To access the properties of the category table, we must now select from the enumerable result by adding the from cl in catList.DefaultIfEmpty() statement.
As per my answer to a similar question, here:
Linq to SQL left outer join using Lambda syntax and joining on 2 columns (composite join key)
Get the code here, or clone my github repo, and play!
Query:
var petOwners =
from person in People
join pet in Pets
on new
{
person.Id,
person.Age,
}
equals new
{
pet.Id,
Age = pet.Age * 2, // owner is twice age of pet
}
into pets
from pet in pets.DefaultIfEmpty()
select new PetOwner
{
Person = person,
Pet = pet,
};
Lambda:
var petOwners = People.GroupJoin(
Pets,
person => new { person.Id, person.Age },
pet => new { pet.Id, Age = pet.Age * 2 },
(person, pet) => new
{
Person = person,
Pets = pet,
}).SelectMany(
pet => pet.Pets.DefaultIfEmpty(),
(people, pet) => new
{
people.Person,
Pet = pet,
});
This is the LeftJoin implementation I use. Notice that the the resultSelector expression accepts 2 parameters: one instance from both sides of the join. In most other implementations that I've seen the result selector only accepts one parameter, which is a "join model" with a left/right or outer/inner property. I like this implementation better because it has the same method signature as the built-in Join method. It also works with IQueryables and EF.
var results = DbContext.Categories
.LeftJoin(
DbContext.Products, c => c.Id, p => p.CategoryId,
(c, p) => new { Category = c, ProductName = p == null ? "(No Products)" : p.ProductName })
.ToList();
public static class QueryableExtensions
{
public static IQueryable<TResult> LeftJoin<TOuter, TInner, TKey, TResult>(
this IQueryable<TOuter> outer,
IEnumerable<TInner> inner, Expression<Func<TOuter, TKey>> outerKeySelector,
Expression<Func<TInner, TKey>> innerKeySelector,
Expression<Func<TOuter, TInner, TResult>> resultSelector)
{
var query = outer
.GroupJoin(inner, outerKeySelector, innerKeySelector, (o, i) => new { o, i })
.SelectMany(o => o.i.DefaultIfEmpty(), (x, i) => new { x.o, i });
return ApplySelector(query, x => x.o, x => x.i, resultSelector);
}
private static IQueryable<TResult> ApplySelector<TSource, TOuter, TInner, TResult>(
IQueryable<TSource> source,
Expression<Func<TSource, TOuter>> outerProperty,
Expression<Func<TSource, TInner>> innerProperty,
Expression<Func<TOuter, TInner, TResult>> resultSelector)
{
var p = Expression.Parameter(typeof(TSource), $"param_{Guid.NewGuid()}".Replace("-", string.Empty));
Expression body = resultSelector?.Body
.ReplaceParameter(resultSelector.Parameters[0], outerProperty.Body.ReplaceParameter(outerProperty.Parameters[0], p))
.ReplaceParameter(resultSelector.Parameters[1], innerProperty.Body.ReplaceParameter(innerProperty.Parameters[0], p));
var selector = Expression.Lambda<Func<TSource, TResult>>(body, p);
return source.Select(selector);
}
}
public static class ExpressionExtensions
{
public static Expression ReplaceParameter(this Expression source, ParameterExpression toReplace, Expression newExpression)
=> new ReplaceParameterExpressionVisitor(toReplace, newExpression).Visit(source);
}
public class ReplaceParameterExpressionVisitor : ExpressionVisitor
{
public ReplaceParameterExpressionVisitor(ParameterExpression toReplace, Expression replacement)
{
this.ToReplace = toReplace;
this.Replacement = replacement;
}
public ParameterExpression ToReplace { get; }
public Expression Replacement { get; }
protected override Expression VisitParameter(ParameterExpression node)
=> (node == ToReplace) ? Replacement : base.VisitParameter(node);
}
Perform left outer joins in linq C#
// Perform left outer joins
class Person
{
public string FirstName { get; set; }
public string LastName { get; set; }
}
class Child
{
public string Name { get; set; }
public Person Owner { get; set; }
}
public class JoinTest
{
public static void LeftOuterJoinExample()
{
Person magnus = new Person { FirstName = "Magnus", LastName = "Hedlund" };
Person terry = new Person { FirstName = "Terry", LastName = "Adams" };
Person charlotte = new Person { FirstName = "Charlotte", LastName = "Weiss" };
Person arlene = new Person { FirstName = "Arlene", LastName = "Huff" };
Child barley = new Child { Name = "Barley", Owner = terry };
Child boots = new Child { Name = "Boots", Owner = terry };
Child whiskers = new Child { Name = "Whiskers", Owner = charlotte };
Child bluemoon = new Child { Name = "Blue Moon", Owner = terry };
Child daisy = new Child { Name = "Daisy", Owner = magnus };
// Create two lists.
List<Person> people = new List<Person> { magnus, terry, charlotte, arlene };
List<Child> childs = new List<Child> { barley, boots, whiskers, bluemoon, daisy };
var query = from person in people
join child in childs
on person equals child.Owner into gj
from subpet in gj.DefaultIfEmpty()
select new
{
person.FirstName,
ChildName = subpet!=null? subpet.Name:"No Child"
};
// PetName = subpet?.Name ?? String.Empty };
foreach (var v in query)
{
Console.WriteLine($"{v.FirstName + ":",-25}{v.ChildName}");
}
}
// This code produces the following output:
//
// Magnus: Daisy
// Terry: Barley
// Terry: Boots
// Terry: Blue Moon
// Charlotte: Whiskers
// Arlene: No Child
https://dotnetwithhamid.blogspot.in/
Here's a version of the extension method solution using IQueryable instead of IEnumerable
public class OuterJoinResult<TLeft, TRight>
{
public TLeft LeftValue { get; set; }
public TRight RightValue { get; set; }
}
public static IQueryable<TResult> LeftOuterJoin<TLeft, TRight, TKey, TResult>(this IQueryable<TLeft> left, IQueryable<TRight> right, Expression<Func<TLeft, TKey>> leftKey, Expression<Func<TRight, TKey>> rightKey, Expression<Func<OuterJoinResult<TLeft, TRight>, TResult>> result)
{
return left.GroupJoin(right, leftKey, rightKey, (l, r) => new { l, r })
.SelectMany(o => o.r.DefaultIfEmpty(), (l, r) => new OuterJoinResult<TLeft, TRight> { LeftValue = l.l, RightValue = r })
.Select(result);
}
If you need to join and filter on something, that can be done outside of the join. Filter can be done after creating the collection.
In this case if I do this in the join condition I reduce the rows that are returned.
Ternary condition is used (= n == null ? "__" : n.MonDayNote,)
If the object is null (so no match), then return what is after the ?. __, in this case.
Else, return what is after the :, n.MonDayNote.
Thanks to the other contributors that is where I started with my own issue.
var schedLocations = (from f in db.RAMS_REVENUE_LOCATIONS
join n in db.RAMS_LOCATION_PLANNED_MANNING on f.revenueCenterID equals
n.revenueCenterID into lm
from n in lm.DefaultIfEmpty()
join r in db.RAMS_LOCATION_SCHED_NOTE on f.revenueCenterID equals r.revenueCenterID
into locnotes
from r in locnotes.DefaultIfEmpty()
where f.LocID == nLocID && f.In_Use == true && f.revenueCenterID > 1000
orderby f.Areano ascending, f.Locname ascending
select new
{
Facname = f.Locname,
f.Areano,
f.revenueCenterID,
f.Locabbrev,
// MonNote = n == null ? "__" : n.MonDayNote,
MonNote = n == null ? "__" : n.MonDayNote,
TueNote = n == null ? "__" : n.TueDayNote,
WedNote = n == null ? "__" : n.WedDayNote,
ThuNote = n == null ? "__" : n.ThuDayNote,
FriNote = n == null ? "__" : n.FriDayNote,
SatNote = n == null ? "__" : n.SatDayNote,
SunNote = n == null ? "__" : n.SunDayNote,
MonEmpNbr = n == null ? 0 : n.MonEmpNbr,
TueEmpNbr = n == null ? 0 : n.TueEmpNbr,
WedEmpNbr = n == null ? 0 : n.WedEmpNbr,
ThuEmpNbr = n == null ? 0 : n.ThuEmpNbr,
FriEmpNbr = n == null ? 0 : n.FriEmpNbr,
SatEmpNbr = n == null ? 0 : n.SatEmpNbr,
SunEmpNbr = n == null ? 0 : n.SunEmpNbr,
SchedMondayDate = n == null ? dMon : n.MondaySchedDate,
LocNotes = r == null ? "Notes: N/A" : r.LocationNote
}).ToList();
Func<int, string> LambdaManning = (x) => { return x == 0 ? "" : "Manning:" + x.ToString(); };
DataTable dt_ScheduleMaster = PsuedoSchedule.Tables["ScheduleMasterWithNotes"];
var schedLocations2 = schedLocations.Where(x => x.SchedMondayDate == dMon);
class Program
{
List<Employee> listOfEmp = new List<Employee>();
List<Department> listOfDepart = new List<Department>();
public Program()
{
listOfDepart = new List<Department>(){
new Department { Id = 1, DeptName = "DEV" },
new Department { Id = 2, DeptName = "QA" },
new Department { Id = 3, DeptName = "BUILD" },
new Department { Id = 4, DeptName = "SIT" }
};
listOfEmp = new List<Employee>(){
new Employee { Empid = 1, Name = "Manikandan",DepartmentId=1 },
new Employee { Empid = 2, Name = "Manoj" ,DepartmentId=1},
new Employee { Empid = 3, Name = "Yokesh" ,DepartmentId=0},
new Employee { Empid = 3, Name = "Purusotham",DepartmentId=0}
};
}
static void Main(string[] args)
{
Program ob = new Program();
ob.LeftJoin();
Console.ReadLine();
}
private void LeftJoin()
{
listOfEmp.GroupJoin(listOfDepart.DefaultIfEmpty(), x => x.DepartmentId, y => y.Id, (x, y) => new { EmpId = x.Empid, EmpName = x.Name, Dpt = y.FirstOrDefault() != null ? y.FirstOrDefault().DeptName : null }).ToList().ForEach
(z =>
{
Console.WriteLine("Empid:{0} EmpName:{1} Dept:{2}", z.EmpId, z.EmpName, z.Dpt);
});
}
}
class Employee
{
public int Empid { get; set; }
public string Name { get; set; }
public int DepartmentId { get; set; }
}
class Department
{
public int Id { get; set; }
public string DeptName { get; set; }
}
OUTPUT
Overview: In this code snippet, I demonstrate how to group by ID where Table1 and Table2 have a one to many relationship. I group on
Id, Field1, and Field2. The subquery is helpful, if a third Table lookup is required and it would have required a left join relationship.
I show a left join grouping and a subquery linq. The results are equivalent.
class MyView
{
public integer Id {get,set};
public String Field1 {get;set;}
public String Field2 {get;set;}
public String SubQueryName {get;set;}
}
IList<MyView> list = await (from ci in _dbContext.Table1
join cii in _dbContext.Table2
on ci.Id equals cii.Id
where ci.Field1 == criterion
group new
{
ci.Id
} by new { ci.Id, cii.Field1, ci.Field2}
into pg
select new MyView
{
Id = pg.Key.Id,
Field1 = pg.Key.Field1,
Field2 = pg.Key.Field2,
SubQueryName=
(from chv in _dbContext.Table3 where chv.Id==pg.Key.Id select chv.Field1).FirstOrDefault()
}).ToListAsync<MyView>();
Compared to using a Left Join and Group new
IList<MyView> list = await (from ci in _dbContext.Table1
join cii in _dbContext.Table2
on ci.Id equals cii.Id
join chv in _dbContext.Table3
on cii.Id equals chv.Id into lf_chv
from chv in lf_chv.DefaultIfEmpty()
where ci.Field1 == criterion
group new
{
ci.Id
} by new { ci.Id, cii.Field1, ci.Field2, chv.FieldValue}
into pg
select new MyView
{
Id = pg.Key.Id,
Field1 = pg.Key.Field1,
Field2 = pg.Key.Field2,
SubQueryName=pg.Key.FieldValue
}).ToListAsync<MyView>();
This is the prettiest solution I use, give it a try! 😉
(from c in categories
let product = products.Where(d=> d.Category == c.Category).FirstOrDefault()
select new { Category = c, ProductName = p == null ? "(No products)" : product.ProductName };
(from a in db.Assignments
join b in db.Deliveryboys on a.AssignTo equals b.EmployeeId
//from d in eGroup.DefaultIfEmpty()
join c in db.Deliveryboys on a.DeliverTo equals c.EmployeeId into eGroup2
from e in eGroup2.DefaultIfEmpty()
where (a.Collected == false)
select new
{
OrderId = a.OrderId,
DeliveryBoyID = a.AssignTo,
AssignedBoyName = b.Name,
Assigndate = a.Assigndate,
Collected = a.Collected,
CollectedDate = a.CollectedDate,
CollectionBagNo = a.CollectionBagNo,
DeliverTo = e == null ? "Null" : e.Name,
DeliverDate = a.DeliverDate,
DeliverBagNo = a.DeliverBagNo,
Delivered = a.Delivered
});

Simple Linq expression Sum - Not returning null value for empty list [duplicate]

This question already has answers here:
How to make a linq Sum return null if the summed values are all null
(5 answers)
Keep null when adding Nullable int?
(1 answer)
Closed 2 years ago.
I am creating a simple test method for sum of list to render null when the list is not rendering any value
[Fact]
public void GetSum()
{
List<TestClass> list = new List<TestClass>();
list.Add(new TestClass
{
Amount = null,
Id = 1
});
list.Add(new TestClass
{
Amount = null,
Id = 0
});
IQueryable<TestClass> classes = list.AsQueryable();
var sum = classes.AsEnumerable().Where(i => i.Id > 1).Select(i => i.Amount).Sum();
var sum1 = classes.AsEnumerable().Sum(i => i.Amount);
Assert.NotNull(sum);
}
#endregion Impact Ratio
}
public class TestClass
{
public int Id { get; set; }
public double? Amount { get; set; }
}
sum and sum1 both render 0, I want them up to be null in case the list is not having any appropriate value. Am I missing anything out in this ?
the Sum() function works as it does so you will have to use another function to achieve what you want. One possibility is the Aggregate() function which allows you to define how you want the summation to work.
For example this seems to achieve what you want:
[Fact]
public void GetSum()
{
var classes = new[]
{
new TestClass {Amount = null, Id = 1},
new TestClass {Amount = 1, Id = 0}
};
var sum1 = classes.Where(i => i.Id > 1)
.Select(i => i.Amount)
.Aggregate((double?)null, (a, b) => a.HasValue && b.HasValue ? a + b : a ?? b);
var sum2 = classes.Select(i => i.Amount)
.Aggregate((double?)null, (a, b) => a.HasValue && b.HasValue ? a + b : a ?? b);
Assert.Null(sum1);
Assert.NotNull(sum2);
}
Note that this method only works when you have an IEnumerable - it does not work with IQueryable, but you convert your IQueryable to IEnumerable in your own example so I guess that is ok...

Linq join two lists: is it more efficient to use Dictionary?

Final rephrase
Below I join two sequences and I wondered if it would be faster to create a Dictionary of one sequence with the keySelector of the join as key and iterate through the other collection and find the key in the dictionary.
This only works if the key selector is unique. A real join has no problem with two records having the same key. In a dictionary you'll have to have unique keys
I measured the difference, and I noticed that the dictionary method is about 13% faster. In most use cases ignorable. See my answer to this question
Rephrased question
Some suggested that this question is the same question as LINQ - Using where or join - Performance difference?, but this one is not about using where or join, but about using a Dictionary to perform the join.
My question is: if I want to join two sequences based on a key selector, which method would be faster?
Put all items of one sequence in a Dictionary and enumerate the other sequence to see if the item is in the Dictionary. This would mean to iterate through both sequences once and calculate hash codes on the keySelector for every item in both sequences once.
The other method: use System.Enumerable.Join.
The question is: Would Enumerable.Join for each element in the first list iterate through the elements in the second list to find a match according to the key selector, having to compare N * N elements (is this called second order?) or would it use a more advanced method?
Original question with examples
I have two classes, both with a property Reference. I have two sequences of these classes and I want to join them based on equal Reference.
Class ClassA
{
public string Reference {get;}
...
}
public ClassB
{
public string Reference {get;}
...
}
var listA = new List<ClassA>()
{
new ClassA() {Reference = 1, ...},
new ClassA() {Reference = 2, ...},
new ClassA() {Reference = 3, ...},
new ClassA() {Reference = 4, ...},
}
var listB = new List<ClassB>()
{
new ClassB() {Reference = 1, ...},
new ClassB() {Reference = 3, ...},
new ClassB() {Reference = 5, ...},
new ClassB() {Reference = 7, ...},
}
After the join I want combinations of ClassA objects and ClassB objects that have an equal Reference. This is quite simple to do:
var myJoin = listA.Join(listB, // join listA and listB
a => a.Reference, // from listA take Reference
b => b.Reference, // from listB take Reference
(objectA, objectB) => // if references equal
new {A = objectA, B = objectB}); // return combination
I'm not sure how this works, but I can imagine that for each a in listA the listB is iterated to see if there is a b in listB with the same reference as A.
Question: if I know that the references are Distinct wouldn't it be more efficient to convert B into a Dictionary and compare the Reference for each element in listA:
var dictB = listB.ToDictionary<string, ClassB>()
var myJoin = listA
.Where(a => dictB.ContainsKey(a.Reference))
.Select(a => new (A = a, B = dictB[a.Reference]);
This way, every element of listB has to be accessed once to put in the dictionary and every element of listA has to be accessed once, and the hascode of Reference has to be calculated once.
Would this method be faster for large collections?
I created a test program for this and measured the time it took.
Suppose I have a class of Person, each person has a name and a Father property which is of type Person. If the Father is not know, the Father property is null
I have a sequence of Bastards (no father) that have exactly one Son and One Daughter. All Daughters are put in one sequence. All sons are put in another sequences.
The query: join the sons and the daughters that have the same father.
Results: Joining 1 million families using Enumerable.Join took 1.169 sec. Joining them using Dictionary join used 1.024 sec. Ever so slightly faster.
The code:
class Person : IEquatable<Person>
{
public string Name { get; set; }
public Person Father { get; set; }
// + a lot of equality functions get hash code etc
// for those interested: see the bottom
}
const int nrOfBastards = 1000000; // one million
var bastards = Enumerable.Range (0, nrOfBastards)
.Select(i => new Person()
{ Name = 'B' + i.ToString(), Father = null })
.ToList();
var sons = bastards.Select(father => new Person()
{Name = "Son of " + father.Name, Father = father})
.ToList();
var daughters = bastards.Select(father => new Person()
{Name = "Daughter of " + father.Name, Father = father})
.ToList();
// join on same parent: Traditionally and using Dictionary
var stopwatch = Stopwatch.StartNew();
this.TraditionalJoin(sons, daughters);
var time = stopwatch.Elapsed;
Console.WriteLine("Traditional join of {0} sons and daughters took {1:F3} sec", nrOfBastards, time.TotalSeconds);
stopwatch.Restart();
this.DictionaryJoin(sons, daughters);
time = stopwatch.Elapsed;
Console.WriteLine("Dictionary join of {0} sons and daughters took {1:F3} sec", nrOfBastards, time.TotalSeconds);
}
private void TraditionalJoin(IEnumerable<Person> boys, IEnumerable<Person> girls)
{ // join on same parent
var family = boys
.Join(girls,
boy => boy.Father,
girl => girl.Father,
(boy, girl) => new { Son = boy.Name, Daughter = girl.Name })
.ToList();
}
private void DictionaryJoin(IEnumerable<Person> sons, IEnumerable<Person> daughters)
{
var sonsDictionary = sons.ToDictionary(son => son.Father);
var family = daughters
.Where(daughter => sonsDictionary.ContainsKey(daughter.Father))
.Select(daughter => new { Son = sonsDictionary[daughter.Father], Daughter = daughter })
.ToList();
}
For those interested in the equality of Persons, needed for a proper dictionary:
class Person : IEquatable<Person>
{
public string Name { get; set; }
public Person Father { get; set; }
public bool Equals(Person other)
{
if (other == null)
return false;
else if (Object.ReferenceEquals(this, other))
return true;
else if (this.GetType() != other.GetType())
return false;
else
return String.Equals(this.Name, other.Name, StringComparison.OrdinalIgnoreCase);
}
public override bool Equals(object obj)
{
return this.Equals(obj as Person);
}
public override int GetHashCode()
{
const int prime1 = 899811277;
const int prime2 = 472883293;
int hash = prime1;
unchecked
{
hash = hash * prime2 + this.Name.GetHashCode();
if (this.Father != null)
{
hash = hash * prime2 + this.Father.GetHashCode();
}
}
return hash;
}
public override string ToString()
{
return this.Name;
}
public static bool operator==(Person x, Person y)
{
if (Object.ReferenceEquals(x, null))
return Object.ReferenceEquals(y, null);
else
return x.Equals(y);
}
public static bool operator!=(Person x, Person y)
{
return !(x==y);
}
}

Mock same method in a test using Moq with different linq expressions

I have a repository with this method
public virtual IEnumerable<TEntity> Get(Expression<Func<TEntity, bool>> filter = null, Func<IQueryable<TEntity>,
IOrderedQueryable<TEntity>> orderBy = null, string includeProperties = "");
I have a method that is using it as such to get a user to work on
var user = this.applicationUserRepository.Get(x => x.EmailAddress == userName).FirstOrDefault();
It then calls the same method with a different expression further in the method as follows to check the user working on the first user
var changingUser = this.applicationUserRepository.Get(x => x.Id == changingUserId).FirstOrDefault();
I am trying to mock the repository with two setups to call it twice in the same test.
string emailAddress = "myaddresss#test.com";
int changingUserId = 5;
var targetUsers = new List<ApplicationUser>
{
new ApplicationUser { Id = 1, Password = "Testing123", EmailAddress = emailAddress }
};
// Setup the user that will be modified to be found
var mockApplicationUserRepository = new Mock<IRepository<ApplicationUser>>();
mockApplicationUserRepository
.Setup(aur => aur.Get(x => x.EmailAddress == userName, null, string.Empty))
.Returns(targetUsers.AsEnumerable());
// Set up to query the changing user to not be found
mockApplicationUserRepository
.Setup(aur2 => aur2.Get(x => x.Id == changingUserId, null, string.Empty))
.Returns(new List<ApplicationUser>().AsEnumerable()); // Empty list
Even though the second call will never be hit, for this test, I want to learn how to set this up.
When I run the test the first call
var user = this.applicationUserRepository.Get(x => x.EmailAddress == userName).FirstOrDefault();
I get null
If I change the mock to have
It.IsAny<Expression<Func<ApplicationUser, bool>>>()
I get the expected user back.
I can not figure out how I will set the two calls up so it will know which expression to use. Any help will be appreciated.
The problem is that Moq does not compare the expressions you use (only reference equality).
Using this little helper class:
public static class LambdaCompare
{
public static bool Eq<TSource, TValue>(
Expression<Func<TSource, TValue>> x,
Expression<Func<TSource, TValue>> y)
{
return ExpressionsEqual(x, y, null, null);
}
public static Expression<Func<Expression<Func<TSource, TValue>>, bool>> Eq<TSource, TValue>(Expression<Func<TSource, TValue>> y)
{
return x => ExpressionsEqual(x, y, null, null);
}
private static bool ExpressionsEqual(Expression x, Expression y, LambdaExpression rootX, LambdaExpression rootY)
{
if (ReferenceEquals(x, y)) return true;
if (x == null || y == null) return false;
var valueX = TryCalculateConstant(x);
var valueY = TryCalculateConstant(y);
if (valueX.IsDefined && valueY.IsDefined)
return ValuesEqual(valueX.Value, valueY.Value);
if (x.NodeType != y.NodeType
|| x.Type != y.Type) return false;
if (x is LambdaExpression)
{
var lx = (LambdaExpression) x;
var ly = (LambdaExpression) y;
var paramsX = lx.Parameters;
var paramsY = ly.Parameters;
return CollectionsEqual(paramsX, paramsY, lx, ly) && ExpressionsEqual(lx.Body, ly.Body, lx, ly);
}
if (x is MemberExpression)
{
var mex = (MemberExpression) x;
var mey = (MemberExpression) y;
return Equals(mex.Member, mey.Member) && ExpressionsEqual(mex.Expression, mey.Expression, rootX, rootY);
}
if (x is BinaryExpression)
{
var bx = (BinaryExpression) x;
var by = (BinaryExpression) y;
return bx.Method == #by.Method && ExpressionsEqual(bx.Left, #by.Left, rootX, rootY) &&
ExpressionsEqual(bx.Right, #by.Right, rootX, rootY);
}
if (x is ParameterExpression)
{
var px = (ParameterExpression) x;
var py = (ParameterExpression) y;
return rootX.Parameters.IndexOf(px) == rootY.Parameters.IndexOf(py);
}
if (x is MethodCallExpression)
{
var cx = (MethodCallExpression)x;
var cy = (MethodCallExpression)y;
return cx.Method == cy.Method
&& ExpressionsEqual(cx.Object, cy.Object, rootX, rootY)
&& CollectionsEqual(cx.Arguments, cy.Arguments, rootX, rootY);
}
throw new NotImplementedException(x.ToString());
}
private static bool ValuesEqual(object x, object y)
{
if (ReferenceEquals(x, y))
return true;
if (x is ICollection && y is ICollection)
return CollectionsEqual((ICollection) x, (ICollection) y);
return Equals(x, y);
}
private static ConstantValue TryCalculateConstant(Expression e)
{
if (e is ConstantExpression)
return new ConstantValue(true, ((ConstantExpression) e).Value);
if (e is MemberExpression)
{
var me = (MemberExpression) e;
var parentValue = TryCalculateConstant(me.Expression);
if (parentValue.IsDefined)
{
var result =
me.Member is FieldInfo
? ((FieldInfo) me.Member).GetValue(parentValue.Value)
: ((PropertyInfo) me.Member).GetValue(parentValue.Value);
return new ConstantValue(true, result);
}
}
if (e is NewArrayExpression)
{
var ae = ((NewArrayExpression) e);
var result = ae.Expressions.Select(TryCalculateConstant);
if (result.All(i => i.IsDefined))
return new ConstantValue(true, result.Select(i => i.Value).ToArray());
}
return default(ConstantValue);
}
private static bool CollectionsEqual(IEnumerable<Expression> x, IEnumerable<Expression> y, LambdaExpression rootX, LambdaExpression rootY)
{
return x.Count() == y.Count()
&& x.Select((e, i) => new {Expr = e, Index = i})
.Join(y.Select((e, i) => new { Expr = e, Index = i }),
o => o.Index, o => o.Index, (xe, ye) => new { X = xe.Expr, Y = ye.Expr })
.All(o => ExpressionsEqual(o.X, o.Y, rootX, rootY));
}
private static bool CollectionsEqual(ICollection x, ICollection y)
{
return x.Count == y.Count
&& x.Cast<object>().Select((e, i) => new { Expr = e, Index = i })
.Join(y.Cast<object>().Select((e, i) => new { Expr = e, Index = i }),
o => o.Index, o => o.Index, (xe, ye) => new { X = xe.Expr, Y = ye.Expr })
.All(o => Equals(o.X, o.Y));
}
private struct ConstantValue
{
public ConstantValue(bool isDefined, object value) : this()
{
IsDefined = isDefined;
Value = value;
}
public bool IsDefined { get; private set; }
public object Value { get; private set; }
}
}
you can setup your mock like this:
Expression<Func<ApplicationUser, bool>> expr = x => x.EmailAddress == emailAddress;
var mockApplicationUserRepository = new Mock<IRepository<ApplicationUser>>();
mockApplicationUserRepository
.Setup(aur => aur.Get(It.Is<Expression<Func<ApplicationUser, bool>>>(x => LambdaCompare.Eq(x, expr)), null, string.Empty))
.Returns(targetUsers.AsEnumerable());
Just adding a comment to this old answer (though quite useful code)
This version of LambdaCompare class is missing a case to compare an UnaryExpression, something which is included in the code in the original post.
Use that code instead of this (I learnt the hard way...)

LiNQ join two tables for substraction SUM

scenario : View should have sum of all profit , sum of all cost , and balance = profit - cost
public ProfitAndCostViewModel getTotalBalance()
{
var totalProfit = db.Profits.Where(p=>p.IdUser.UserId == WebSecurity.CurrentUserId).Sum(p=>p.Value);
var totalCost = db.Costs.Where(c=>c.IdUser.UserId == WebSecurity.CurrentUserId).Sum(c=>c.Value);
var balance = totalProfit - totalCost ;
return new ProfitAndCostViewModel { FinalBalance = balance };
}
controller:
public ActionResult Index()
{
var pcv = new ProfitAndCostViewModel();
pcv.ProfModel =getProfitSum();
pcv.CostModel =getCostSum();
pcv.TOTALBALANCE = getTotalBalance();
return View(pcv);
}
View:
#model WHFM.ViewModels.ProfitAndCostViewModel
#Model.FinalBalance.FinalBalance
Try this:
scenario : View should have sum of all profit , sum of all cost , and balance = profit - cost
public double getProfitSum()
{
return db.Profits.Where(p=>p.IdUser.UserId == WebSecurity.CurrentUserId).Sum(p=>p.Value);
}
public double getCostSum()
{
return db.Costs.Where(c=>c.IdUser.UserId == WebSecurity.CurrentUserId).Sum(c=>c.Value);
}
controller:
public ActionResult Index()
{
var pcv = new ProfitAndCostViewModel();
pcv.ProfModel = getProfitSum(); //This should be a double
pcv.CostModel =getCostSum(); //This should be a double
return View(pcv);
}
Model:
public class ProfitAndCostViewModel
{
public double ProfModel {get;set;}
public double CostModel {get;set;}
public FinalBalance {get{ return ProfModel - CostModel;} }
}
View:
#model WHFM.ViewModels.ProfitAndCostViewModel
#Model.FinalBalance - This show now be correct
try
public ProfitAndCostViewModel getTotalBalance()
{
var totalProfit = db.Profits.Where(p=>p.IdUser.UserId == WebSecurity.CurrentUserId).Sum(p=>p.Value);
var totalCost = db.Costs.Where(c=>c.IdUser.UserId == WebSecurity.CurrentUserId).Sum(c=>c.Value);
var balance = totalProfit - totalCost ;
return new ProfitAndCostViewModel{ FinalBalance = balance};
}
From what I can see, you are only looking for the final balance of the current user, right? If so, you don't need to return an IEnumerable of ProfitAndCostViewModel.
If you want to have a many to many user-balance output (an IEnumerable of ProfitAndCostViewModel) then try:
public IEnumerable<ProfitAndCostViewModel> getTotalBalance()
{
var result = from p in db.Profits
group p by p.IdUser.UserId
into g
join c in db.Costs on g.Key equals c.IdUser.UserId
group new {g,c} by g.Key into h
select new ProfitAndCostViewModel
{
FinalBalance = h.Select(x=>x.g.Sum(y=>y.Value)).First() - h.Sum(x=>x.c.Value),
UserId = h.Key
};
return result;
}
I only tested this on lists, not DB variables so it may not work.
public IEnumerable<ProfitAndCostViewModel> getTotalBalance()
{
var total = from p in db.Profits
join c in db.Costs on p.IdUser.UserId equals c.IdUser.UserId
group new { p, c } by p.IdUser.UserId into g
select new ProfitAndCostViewModel
{
FinalBalance = g.Sum(i => i.p.Value) - g.Sum(i => i.c.Value);
};
return total;
}
Try
public IEnumerable<ProfitAndCostViewModel> getTotalBalance()
{
var total = from p in db.Profits
join c in db.Costs on p.IdUser.UserId equals c.IdUser.UserId
where p.IdUser.UserId == WebSecurity.CurrentUserId
group new { p, c } by p.IdUser.UserId into g
select new ProfitAndCostViewModel
{
FinalBalance = g.Sum(i => i.p.Value) - g.Sum(i => i.c.Value)
};
return total;
}

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