


How Does Parallel.ForEach Improve Performance Compared to a Traditional Foreach Loop in .NET?
Parallel Processing with Parallel.ForEach
Parallel programming enhances application performance by harnessing multiple processor cores. Parallel.ForEach is a powerful construct that simplifies parallel processing in .NET applications.
Foreach Loop vs. Parallel.ForEach
The traditional foreach loop performs iterations sequentially on a single thread. Parallel.ForEach, on the other hand, distributes the workload across multiple threads, enabling simultaneous execution of iterations.
Characteristics of Foreach Loops:
- Sequential execution of iterations
- Single thread utilization
- Ideal for quick operations where threading overhead is not significant
Characteristics of Parallel.ForEach:
- Parallel execution of iterations
- Multiple threads utilization
- Beneficial for slow operations where parallelization improves performance
Converting to Parallel.ForEach
To convert the given code snippet to Parallel.ForEach:
Parallel.ForEach(list_lines, line => { // My Stuff });
Example
The following example demonstrates the difference between a foreach loop and Parallel.ForEach:
using System; using System.Diagnostics; using System.Collections.Generic; using System.Threading.Tasks; namespace ParallelForEachExample { class Program { static void Main() { var lines = File.ReadAllLines("proxylist.txt"); var list_lines = new List<string>(lines); Console.WriteLine("Traditional foreach loop"); var watch = Stopwatch.StartNew(); foreach (var line in list_lines) { Console.WriteLine(line); Thread.Sleep(10); } watch.Stop(); Console.WriteLine($"foreach loop execution time: {watch.ElapsedMilliseconds} ms"); Console.WriteLine("Using Parallel.ForEach"); watch = Stopwatch.StartNew(); Parallel.ForEach(list_lines, line => { Console.WriteLine(line); Thread.Sleep(10); }); watch.Stop(); Console.WriteLine($"Parallel.ForEach() execution time: {watch.ElapsedMilliseconds} ms"); } } }</string>
Output
The output will demonstrate that Parallel.ForEach executes the iterations in parallel, reducing the overall processing time compared to the traditional foreach loop.
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