# LINQ Sum Method in C#

## LINQ Sum Method in C# with Examples

In this article, I will discuss the LINQ Sum Method in C# with Examples. Please read our previous article discussing the basics of LINQ Aggregate Functions in C#. The LINQ Sum() Method belongs to the category of Aggregate Operators. The LINQ Sum method in C# calculates the collection’s total or sum of numeric values. As part of this article, we will discuss the following pointers.

1. What is the LINQ Sum Method in C#?
2. Multiple Examples to Understand Sum Method using both Method and Query Syntax.
3. When to Use the LINQ Sum Method in C#?
##### What is the LINQ Sum Method in C#?

The LINQ Sum Method in C# calculates the sum of a collection of numeric values. It’s a part of the System.Linq namespace can be used with arrays, lists, or any type that implements IEnumerable<T>. The Sum method is available in various overloads, allowing you to sum up different numeric types such as int, double, decimal, etc., and even to sum up a specific numeric property in a collection of objects.

##### Example to Understand Sum Method in C#:

Let us understand the LINQ Sum() method with Examples using C#. Using query and method syntax, the following example calculates the sum of all integers in the integer collection. The point that you need to remember is that the Sum Method will work with numeric values only. We don’t have any operator called sum in the LINQ Query Syntax. So here, we need to use mixed syntax.

```using System;
using System.Linq;
namespace LINQDemo
{
class Program
{
static void Main(string[] args)
{
int[] intNumbers = new int[] { 10, 30, 50, 40, 60, 20, 70, 90, 80, 100 };

//Using Method Syntax
int MSTotal = intNumbers.Sum();

//Using Query Syntax
int QSTotal = (from num in intNumbers
select num).Sum();

Console.WriteLine("Sum = " + QSTotal);

}
}
}```

Output: Sum = 550

##### Example to Understand LINQ Sum Method with Where Extension Method using C#

Let us see an example to Understand how we can use the LINQ Sum and the Where Extension Method in C# using both Method and Query Syntax. Our requirement is to calculate the sum of all numbers greater than 50. The following example code exactly does the same.

```using System;
using System.Linq;
namespace LINQDemo
{
class Program
{
static void Main(string[] args)
{
int[] intNumbers = new int[] { 10, 30, 50, 40, 60, 20, 70, 90, 80, 100 };

//Using Method Syntax
int MSTotal = intNumbers.Where(num => num > 50).Sum();

//Using Query Syntax
int QSTotal = (from num in intNumbers
where num > 50
select num).Sum();

Console.WriteLine("Sum = " + QSTotal);

}
}
}```

Output: Sum = 400

##### Example to Understand How to use LINQ Sum Method with Predicate in C#

Let us see an example of using the LINQ Sum Method with Predicate in C# using both Method and Query Syntax. Instead of using the Where Extension method to filter the data, we can also use the other overloaded version of the Sum method, which takes a Predicate as a parameter. Within that predicate, we can write the logic to filter the data. In the below example, within the Sum Method, we are using a Predicate and providing the condition of whether the number is greater than 50. If the number is greater than 50, then we are returning true; else, we are returning false. The following example will calculate the sum of all integers greater than 50.

```using System;
using System.Linq;
namespace LINQDemo
{
class Program
{
static void Main(string[] args)
{
int[] intNumbers = new int[] { 10, 30, 50, 40, 60, 20, 70, 90, 80, 100 };

//Using Method Syntax with a Predicate
int MSTotal = intNumbers.Sum(num => {
if (num > 50)
return num;
else
return 0;
});

//Using Query Syntax with a Predicate
int QSTotal = (from num in intNumbers
select num).Sum(num => {
if (num > 50)
return num;
else
return 0;
});

Console.WriteLine("Sum = " + QSTotal);

}
}
}```

Output: Sum = 400

##### Example to Understand LINQ Sum Method with Complex Type in C#:

Let us see an example of using the LINQ Sum Method with Complex Type in C# using both Method and Query Syntax. We are going to work with the following Employee class. As you can see, it is a very simple Employee class with four properties: ID, Name, Salary, and Department. Here, we also created one method, i.e., GetAllEmployees(), which will return the list of all the employees, which will be our data source.

```using System.Collections.Generic;
namespace LINQDemo
{
public class Employee
{
public int ID { get; set; }
public string Name { get; set; }
public int Salary { get; set; }
public string Department { get; set; }

public static List<Employee> GetAllEmployees()
{
List<Employee> listStudents = new List<Employee>()
{
new Employee{ID= 101,Name = "Preety", Salary = 10000, Department = "IT"},
new Employee{ID= 102,Name = "Priyanka", Salary = 15000, Department = "Sales"},
new Employee{ID= 103,Name = "James", Salary = 50000, Department = "Sales"},
new Employee{ID= 104,Name = "Hina", Salary = 20000, Department = "IT"},
new Employee{ID= 105,Name = "Anurag", Salary = 30000, Department = "IT"},
new Employee{ID= 106,Name = "Sara", Salary = 25000, Department = "IT"},
new Employee{ID= 107,Name = "Pranaya", Salary = 35000, Department = "IT"},
new Employee{ID= 108,Name = "Manoj", Salary = 11000, Department = "Sales"},
new Employee{ID= 109,Name = "Sam", Salary = 45000, Department = "Sales"},
new Employee{ID= 110,Name = "Saurav", Salary = 25000, Department = "Sales"}
};

return listStudents;
}
}
}```

Now, our requirement is to calculate the Sum of the Salaries of all the Employees. The following example calculates the sum of all employees’ salaries using the LINQ Sum method with both Method and Query Syntax. Here, we specify the numeric Salary column using a lambda expression to the Sum method.

```using System;
using System.Linq;
namespace LINQDemo
{
class Program
{
static void Main(string[] args)
{
//Using Method Syntax
var TotalSalaryMS = Employee.GetAllEmployees()
.Sum(emp => emp.Salary);

//Using Query Syntax
var TotalSalaryQS = (from emp in Employee.GetAllEmployees()
select emp).Sum(e => e.Salary);

Console.WriteLine("Sum Of Salary = " + TotalSalaryMS);

}
}
}```

Output: Sum Of Salary = 266000

##### Example using Sum and Where Extension Method in C#:

Let us see an example of using both LINQ Sum and Where Extension Methods with Complex Type using Method and Query Syntax. Our requirement is to calculate the sum of the salary of all the employees who belong to the IT department. The following example exactly does the same. Using the Where Extension Method, we are filtering the IT department employees. Using the Sum method, we specify the Salary numeric column, which will calculate the sum of the salaries of only IT department employees.

```using System;
using System.Linq;
namespace LINQDemo
{
class Program
{
static void Main(string[] args)
{
//Calculate the Sum of Salaries of IT Department

//Using Method Syntax
var TotalSalaryMS = Employee.GetAllEmployees()
.Where(emp => emp.Department == "IT")
.Sum(emp => emp.Salary);

//Using Query Syntax
var TotalSalaryQS = (from emp in Employee.GetAllEmployees()
where emp.Department == "IT"
select emp).Sum(e => e.Salary);

Console.WriteLine("IT Department Total Salary = " + TotalSalaryQS);

}
}
}```

Output: IT Department Total Salary = 120000

Let’s rewrite the previous example using the custom predicate. As you can see, within the Sum method, we are checking the Department property value, and if the Department is It, we are returning the corresponding Salary. Else, we are returning 0.

```using System;
using System.Linq;
namespace LINQDemo
{
class Program
{
static void Main(string[] args)
{
//Using Method Syntax and Predicate
var TotalSalaryMS = Employee.GetAllEmployees()
.Sum(emp => {
if (emp.Department == "IT")
return emp.Salary;
else
return 0;
});

Console.WriteLine("IT Department Total Salary = " + TotalSalaryMS);

}
}
}```

Output: IT Department Total Salary = 120000

##### Key points to remember when using the Sum method:
• The Sum method calculates the sum of numeric values in a sequence or collection.
• It operates on sequences of elements with numeric properties or can be converted to numeric values.
• If the sequence is empty, calling Sum will return 0 for numeric types (e.g., int, double) and null for nullable numeric types (e.g., int? and double?).
• You can use the Sum method with various numeric data types, including integers, floating-point numbers, and custom numeric types.
##### When to Use LINQ Sum Method in C#?

The LINQ Sum method in C# is a powerful and efficient tool for performing aggregation of numeric values in a collection. It’s particularly useful in various scenarios:

• Calculating Totals: One of the most common uses of Sum is to calculate the total of a collection of numbers. This is useful in scenarios such as totaling scores in a game, summing up expenses or incomes in financial applications, or aggregating quantities in inventory management systems.
• Data Analysis and Reporting: In data processing and analysis, Sum is essential for aggregating data. For example, you might use it to sum up total sales, total hours worked, total energy consumption, or any other metric where aggregation is required.
• Aggregating Properties of Objects: When working with collections of objects, Sum can be used to compute aggregate values based on a specific property of the objects. For instance, calculating the total value of items in a shopping cart, summing the total weight of items in a shipment, or aggregating the total amount of memory used by a set of processes.
• Combining with Conditional Logic: Combined with other LINQ methods like Where, the Sum can be used to calculate the sum of items that meet certain conditions. This is useful for conditional aggregations, such as summing values that exceed a certain threshold or belong to a specific category.
• Financial Calculations: Sum is widely used in financial applications for calculations like total revenues, total costs, or total profits over a period.

In the next article, I will discuss the LINQ Max Method in C# with Examples. I explain the LINQ Sum Method in C# in this article with examples. I hope you understand the need and use of the LINQ Sum Method with Examples.

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