# How to: Write a simple Parallel.ForEach loop

This example shows how to use a Parallel.ForEach loop to enable data parallelism over any System.Collections.IEnumerable or System.Collections.Generic.IEnumerable<T> data source.

Note

This documentation uses lambda expressions to define delegates in PLINQ. If you are not familiar with lambda expressions in C# or Visual Basic, see Lambda expressions in PLINQ and TPL.

## Example

This example assumes you have several .jpg files in a C:\Users\Public\Pictures\Sample Pictures folder and creates a new sub-folder named Modified. When you run the example, it rotates each .jpg image in Sample Pictures and saves it to Modified. You can modify the two paths as necessary.

using System;
using System.IO;
using System.Drawing;

public class Example
{
public static void Main()
{
// A simple source for demonstration purposes. Modify this path as necessary.
string[] files = Directory.GetFiles(@"C:\Users\Public\Pictures\Sample Pictures", "*.jpg");
string newDir = @"C:\Users\Public\Pictures\Sample Pictures\Modified";
Directory.CreateDirectory(newDir);

// Method signature: Parallel.ForEach(IEnumerable<TSource> source, Action<TSource> body)
Parallel.ForEach(files, (currentFile) =>
{
// The more computational work you do here, the greater
// the speedup compared to a sequential foreach loop.
string filename = Path.GetFileName(currentFile);
var bitmap = new Bitmap(currentFile);

bitmap.RotateFlip(RotateFlipType.Rotate180FlipNone);
bitmap.Save(Path.Combine(newDir, filename));

// Peek behind the scenes to see how work is parallelized.
// But be aware: Thread contention for the Console slows down parallel loops!!!

Console.WriteLine($"Processing {filename} on thread {Thread.CurrentThread.ManagedThreadId}"); //close lambda expression and method invocation }); // Keep the console window open in debug mode. Console.WriteLine("Processing complete. Press any key to exit."); Console.ReadKey(); } }  Imports System.IO Imports System.Threading Imports System.Threading.Tasks Imports System.Drawing Module ForEachDemo Sub Main() ' A simple source for demonstration purposes. Modify this path as necessary. Dim files As String() = Directory.GetFiles("C:\Users\Public\Pictures\Sample Pictures", "*.jpg") Dim newDir As String = "C:\Users\Public\Pictures\Sample Pictures\Modified" Directory.CreateDirectory(newDir) Parallel.ForEach(files, Sub(currentFile) ' The more computational work you do here, the greater ' the speedup compared to a sequential foreach loop. Dim filename As String = Path.GetFileName(currentFile) Dim bitmap As New Bitmap(currentFile) bitmap.RotateFlip(System.Drawing.RotateFlipType.Rotate180FlipNone) bitmap.Save(Path.Combine(newDir, filename)) ' Peek behind the scenes to see how work is parallelized. ' But be aware: Thread contention for the Console slows down parallel loops!!! Console.WriteLine($"Processing {filename} on thread {Thread.CurrentThread.ManagedThreadId}")
'close lambda expression and method invocation
End Sub)

' Keep the console window open in debug mode.
Console.WriteLine("Processing complete. Press any key to exit.")
End Sub
End Module


A Parallel.ForEach loop works like a Parallel.For loop. The loop partitions the source collection and schedules the work on multiple threads based on the system environment. The more processors on the system, the faster the parallel method runs. For some source collections, a sequential loop may be faster, depending on the size of the source and the kind of work the loop performs. For more information about performance, see Potential pitfalls in data and task parallelism.

To use Parallel.ForEach with a non-generic collection, you can use the Enumerable.Cast extension method to convert the collection to a generic collection, as shown in the following example:

Parallel.ForEach(nonGenericCollection.Cast<object>(),
currentElement =>
{
});

Parallel.ForEach(nonGenericCollection.Cast(Of Object), _
Sub(currentElement)
' ... work with currentElement
End Sub)


You can also use Parallel LINQ (PLINQ) to parallelize processing of IEnumerable<T> data sources. PLINQ enables you to use declarative query syntax to express the loop behavior. For more information, see Parallel LINQ (PLINQ).

## Compile and run the code

You can compile the code as a console application for .NET Framework or as a console application for .NET Core.

In Visual Studio, there are Visual Basic and C# console application templates for Windows Desktop and .NET Core.

From the command line, you can use either .NET Core and its CLI tools (for example, dotnet new console or dotnet new console -lang vb), or you can create the file and use the command-line compiler for a .NET Framework application.

For a .NET Core project, you must reference the System.Drawing.Common NuGet package. In Visual Studio, use the NuGet Package Manager to install the package. Alternatively, you can add a reference to the package in your *.csproj or *.vbproj file:

<ItemGroup>
<PackageReference Include="System.Drawing.Common" Version="4.5.1" />
</ItemGroup>


To run a .NET Core console application from the command line, use dotnet run from the folder that contains your application.

To run your console application from Visual Studio, press F5.