how to convert:
foreach ( NotifyCollectionChangedEventHandler handler in delegates) {
...
}
To somthing like This
Parallel.ForEach( NotifyCollectionChangedEventHandler handler in delegates) {
...
}
how to convert:
foreach ( NotifyCollectionChangedEventHandler handler in delegates) {
...
}
To somthing like This
Parallel.ForEach( NotifyCollectionChangedEventHandler handler in delegates) {
...
}
You can do:
Parallel.ForEach(delegates, handler =>
{
//your stuff
});
Consider the following example
List<string> list = new List<string>()
{
"ABC",
"DEF",
"EFG"
};
Parallel.ForEach(list, str =>
{
Console.WriteLine(str);
});
You may also see: How to: Write a Simple Parallel.ForEach Loop
Here, quite easily:
Parallel.ForEach(delegates, handler =>
{
//Do your thing with the handler and may the thread-safety be with you.
});
Although it should be quite obvious after reading the docs.
Simple example from MSDN.
// A simple source for demonstration purposes. Modify this path as necessary.
string[] files = System.IO.Directory.GetFiles(@"C:\Users\Public\Pictures\Sample Pictures", "*.jpg");
string newDir = @"C:\Users\Public\Pictures\Sample Pictures\Modified";
System.IO.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 = System.IO.Path.GetFileName(currentFile);
System.Drawing.Bitmap bitmap = new System.Drawing.Bitmap(currentFile);
bitmap.RotateFlip(System.Drawing.RotateFlipType.Rotate180FlipNone);
bitmap.Save(System.IO.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 {0} on thread {1}", filename, Thread.CurrentThread.ManagedThreadId);
} //close lambda expression
); //close method invocation
With some additions to the Action<TSource>
parameter argument for your purpose:
Parallel.ForEach(delegates, d => { ... });