几年前我写了一个集群扩展方法。工作得很好，是这里最快的实现。: P

/// <summary>
/// Clumps items into same size lots.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="source">The source list of items.</param>
/// <param name="size">The maximum size of the clumps to make.</param>
/// <returns>A list of list of items, where each list of items is no bigger than the size given.</returns>
public static IEnumerable<IEnumerable<T>> Clump<T>(this IEnumerable<T> source, int size)
{
    if (source == null)
        throw new ArgumentNullException("source");
    if (size < 1)
        throw new ArgumentOutOfRangeException("size", "size must be greater than 0");

    return ClumpIterator<T>(source, size);
}

private static IEnumerable<IEnumerable<T>> ClumpIterator<T>(IEnumerable<T> source, int size)
{
    Debug.Assert(source != null, "source is null.");

    T[] items = new T[size];
    int count = 0;
    foreach (var item in source)
    {
        items[count] = item;
        count++;

        if (count == size)
        {
            yield return items;
            items = new T[size];
            count = 0;
        }
    }
    if (count > 0)
    {
        if (count == size)
            yield return items;
        else
        {
            T[] tempItems = new T[count];
            Array.Copy(items, tempItems, count);
            yield return tempItems;
        }
    }
}

山姆·萨弗伦的做法是如此的做作。

public static IEnumerable<IEnumerable<T>> Batch<T>(this IEnumerable<T> source, int size)
{
    if (source == null) throw new ArgumentNullException(nameof(source));
    if (size <= 0) throw new ArgumentOutOfRangeException(nameof(size), "Size must be greater than zero.");

    return BatchImpl(source, size).TakeWhile(x => x.Any());
}

static IEnumerable<IEnumerable<T>> BatchImpl<T>(this IEnumerable<T> source, int size)
{
    var values = new List<T>();
    var group = 1;
    var disposed = false;
    var e = source.GetEnumerator();

    try
    {
        while (!disposed)
        {
            yield return GetBatch(e, values, group, size, () => { e.Dispose(); disposed = true; });
            group++;
        }
    }
    finally
    {
        if (!disposed)
            e.Dispose();
    }
}

static IEnumerable<T> GetBatch<T>(IEnumerator<T> e, List<T> values, int group, int size, Action dispose)
{
    var min = (group - 1) * size + 1;
    var max = group * size;
    var hasValue = false;

    while (values.Count < min && e.MoveNext())
    {
        values.Add(e.Current);
    }

    for (var i = min; i <= max; i++)
    {
        if (i <= values.Count)
        {
            hasValue = true;
        }
        else if (hasValue = e.MoveNext())
        {
            values.Add(e.Current);
        }
        else
        {
            dispose();
        }

        if (hasValue)
            yield return values[i - 1];
        else
            yield break;
    }
}

}

这个怎么样?

var input = new List<string> { "a", "g", "e", "w", "p", "s", "q", "f", "x", "y", "i", "m", "c" };
var k = 3

var res = Enumerable.Range(0, (input.Count - 1) / k + 1)
                    .Select(i => input.GetRange(i * k, Math.Min(k, input.Count - i * k)))
                    .ToList();

据我所知，GetRange()与所获取的项目数量是线性的。所以这应该表现得很好。

这是一个古老的解决方案，但我有一个不同的方法。我使用Skip来移动到所需的偏移量，并使用Take来提取所需的元素数量:

public static IEnumerable<IEnumerable<T>> Chunk<T>(this IEnumerable<T> source, 
                                                   int chunkSize)
{
    if (chunkSize <= 0)
        throw new ArgumentOutOfRangeException($"{nameof(chunkSize)} should be > 0");

    var nbChunks = (int)Math.Ceiling((double)source.Count()/chunkSize);

    return Enumerable.Range(0, nbChunks)
                     .Select(chunkNb => source.Skip(chunkNb*chunkSize)
                     .Take(chunkSize));
}

系统。Interactive为此提供了Buffer()。一些快速测试显示性能与Sam的解决方案类似。

如果源集合实现了IList < T >(按索引随机访问)，我们可以使用下面的方法。它只在真正访问元素时获取元素，因此这对于延迟求值的集合特别有用。类似于unbounded IEnumerable< T >，但是对于IList< T >。

    public static IEnumerable<IEnumerable<T>> Chunkify<T>(this IList<T> src, int chunkSize)
    {
        if (src == null) throw new ArgumentNullException(nameof(src));
        if (chunkSize < 1) throw new ArgumentOutOfRangeException(nameof(chunkSize), $"must be > 0, got {chunkSize}");

        for(var ci = 0; ci <= src.Count/chunkSize; ci++){
            yield return Window(src, ci*chunkSize, Math.Min((ci+1)*chunkSize, src.Count)-1);
        }
    }

    private static IEnumerable<T> Window<T>(IList<T> src, int startIdx, int endIdx)
    {
        Console.WriteLine($"window {startIdx} - {endIdx}");
        while(startIdx <= endIdx){
            yield return src[startIdx++];
        }
    }