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How Can I Control Parallelism in Parallel.ForEach() to Manage System Resources?

Mary-Kate Olsen
Release: 2025-01-09 14:17:40
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How Can I Control Parallelism in Parallel.ForEach() to Manage System Resources?

Optimizing Parallel.ForEach() for Resource Management

Challenge:

How can we effectively manage system resources, particularly bandwidth, when using Parallel.ForEach() to process multiple items concurrently? Uncontrolled parallelism can lead to resource exhaustion.

Solution:

The ParallelOptions class offers a powerful mechanism to control the level of parallelism within a Parallel.ForEach() loop. The key is the MaxDegreeOfParallelism property. By setting this property, you limit the maximum number of tasks running simultaneously.

Example:

<code class="language-csharp">Parallel.ForEach(
    listOfWebpages,
    new ParallelOptions { MaxDegreeOfParallelism = 4 },
    webpage => { Download(webpage); }
);</code>
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In this example, MaxDegreeOfParallelism = 4 ensures that a maximum of four downloads occur concurrently, preventing the system from being overwhelmed. Adjust this value based on your system's capabilities and the nature of the tasks.

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