Parallel.ForEach<TSource, TLocal> Method (IEnumerable<TSource>, Func<TLocal>, Func<TSource, ParallelLoopState, Int64, TLocal, TLocal>, Action<TLocal>)
Executes a foreach (For Each in Visual Basic) operation with thread-local data on an IEnumerable in which iterations may run in parallel and the state of the loop can be monitored and manipulated.
Assembly: mscorlib (in mscorlib.dll)
public static ParallelLoopResult ForEach<TSource, TLocal>( IEnumerable<TSource> source, Func<TLocal> localInit, Func<TSource, ParallelLoopState, long, TLocal, TLocal> body, Action<TLocal> localFinally )
The type of the data in the source.
The type of the thread-local data.
- Type: System.Collections.Generic.IEnumerable<>
An enumerable data source.
- Type: System.Func<>
The function delegate that returns the initial state of the local data for each task.
- Type: System.Func<, ParallelLoopState, Int64, , >
The delegate that is invoked once per iteration.
- Type: System.Action<>
The delegate that performs a final action on the local state of each task.
Return ValueType: System.Threading.Tasks.ParallelLoopResult
A structure that contains information about which portion of the loop completed.
The body delegate is invoked once for each element in the source enumerable. It is provided with the following parameters: the current element, a ParallelLoopState instance that may be used to break out of the loop prematurely, the current element's index (Int64), and some local state that may be shared amongst iterations that execute on the same thread.
The localInit delegate is invoked once for each task that participates in the loop's execution and returns the initial local state for each of those tasks. These initial states are passed to the first body invocations on each task. Then, every subsequent body invocation returns a possibly modified state value that is passed to the next body invocation. Finally, the last body invocation on each task returns a state value that is passed to the localFinally delegate. The localFinally delegate is invoked once per task to perform a final action on each task’s local state. This delegate might be invoked concurrently on multiple tasks; therefore, you must synchronize access to any shared variables.
The Parallel.ForEach method may use more tasks than threads over the lifetime of its execution, as existing tasks complete and are replaced by new tasks. This gives the underlying TaskScheduler object the chance to add, change, or remove threads that service the loop.