Helpful C# – Partitioner

In C#, the Partitioner class is part of the System.Collections.Concurrent namespace and is used to partition data into smaller chunks for parallel processing. It provides an easy way to divide work among multiple tasks or threads in a parallel algorithm.

Here’s an example of how to use the Partitioner class:

using System;
using System.Collections.Concurrent;
using System.Threading.Tasks;

class Program
{
    static void Main()
    {
        int[] numbers = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };

        // Create a partitioner for the numbers array
        var partitioner = Partitioner.Create(numbers);

        // Parallel process the partitions
        Parallel.ForEach(partitioner, (partition) =>
        {
            foreach (var number in partition)
            {
                Console.WriteLine(number);
            }
        });
    }
}

In this example, we have an array of integers (numbers) that we want to process in parallel. We use the Partitioner.Create method to create a partitioner for the array.

Next, we use the Parallel.ForEach method to iterate over the partitions created by the partitioner. Each partition represents a portion of the array that can be processed independently.

Inside the Parallel.ForEach loop, we process each partition by iterating over the elements in the partition and performing the desired operations. In this case, we simply print each number to the console.

The Parallel.ForEach method automatically distributes the work among multiple tasks or threads, utilizing the available processing power efficiently.

Output of the code will be:

1
2
3
4
5
6
7
8
9
10

As you can see, the Partitioner class allows you to divide the data into smaller partitions, which can be processed in parallel, enhancing the performance of your parallel algorithms.

Paging Data

To use the Partitioner class in C# for paging, you can divide a large dataset into smaller chunks or pages, enabling you to process and retrieve data efficiently. Here’s an example:

using System;
using System.Collections.Concurrent;
using System.Linq;
using System.Threading.Tasks;

class Program
{
    static void Main()
    {
        int totalItems = 100;
        int pageSize = 10;

        // Create a partitioner for paging
        var partitioner = Partitioner.Create(0, totalItems, pageSize);

        // Process pages in parallel
        Parallel.ForEach(partitioner, (range, state) =>
        {
            for (int i = range.Item1; i < range.Item2; i++)
            {
                Console.WriteLine($"Processing item: {i}");
                // Perform operations on each item
            }
        });
    }
}

In this example, we have a total number of items (totalItems) and a page size (pageSize). The goal is to process the items in parallel while dividing them into pages of a specific size.

We create a partitioner using Partitioner.Create and provide the starting index (0), the total number of items, and the page size.

Inside the Parallel.ForEach loop, each page or range is processed in parallel. The range specifies the start and end index for each page, and the loop iterates over the items within that range.

You can perform specific operations on each item within the loop as needed. In this example, we simply print the item number to the console.

By using the Partitioner class for paging, you can efficiently process large datasets by dividing them into manageable chunks and processing them in parallel, potentially improving performance and reducing processing time.