对许多项(千兆字节)运行LINQ to Objects GroupBy()
方法可能会占用大量内存。如果密钥已经按IEnumerable<T>
排序,我们可以写一个没有消耗太多内存的GroupBy
。
在哪里可以找到具有此类方法的库?
答案 0 :(得分:3)
框架中没有任何内容可以做到这一点。如果您不需要实际的IGrouping<,>
,您可以使用它:
static IEnumerable<IList<TElement>> GroupByChanges<TElement, TKey>
(this IEnumerable<TElement> source,
Func<TElement, TKey> projection)
{
// TODO: Argument validation, splitting this into two methods
// to achieve eager validation.
// TODO: Allow a custom comparer to be used, possibly even
// an IComparer<T> instead of an IEqualityComparer<T>
IEqualityComparer<TKey> comparer = EqualityComparer<TKey>.Default;
using (IEnumerator<TElement> iterator = source.GetEnumerator())
{
if (!iterator.MoveNext())
{
yield break;
}
TKey currentKey = projection(iterator.Current);
IList<TElement> currentList = new List<TElement> { iterator.Current };
while (iterator.MoveNext())
{
TKey key = projection(iterator.Current);
if (!comparer.Equals(currentKey, key))
{
yield return currentList;
currentList = new List<TElement>();
}
currentList.Add(iterator.Current);
}
yield return currentList;
}
}
如果您需要完整的IGrouping<,>
实施,那将会稍微困难一点 - 但您可以随时抓住我的Edulinq implementation。
GroupByChanges
的实施变化很小 - 只需更改currentList
分配即可将密钥传递给Grouping
构造函数:
Grouping<TKey, TElement> currentGroup = new Grouping<TKey, TElement>(currentKey)
{ iterator.Current };
答案 1 :(得分:1)
你的问题非常具体。您很可能找不到已经执行此操作的库。如果您的项目是按照您用来分组的密钥排序的,那么自己对此列表进行“分组”是一项近乎重要的任务。
答案 2 :(得分:1)
您可以自己轻松实现它:
public static class Extensions
{
public static IEnumerable<IGrouping<TKey, TSource>> GroupByAlreadyOrdered<TSource, TKey>(this IEnumerable<TSource> source, Func<TSource, TKey> keySelector)
{
return source.GroupByAlreadyOrdered(keySelector, null);
}
public static IEnumerable<IGrouping<TKey, TSource>> GroupByAlreadyOrdered<TSource, TKey>(this IEnumerable<TSource> source, Func<TSource, TKey> keySelector, IEqualityComparer<TKey> comparer)
{
TKey currentKey = default(TKey);
bool first = true;
List<TSource> currentGroup = null;
comparer = comparer ?? EqualityComparer<TKey>.Default;
foreach (var item in source)
{
TKey key = keySelector(item);
if (first || !comparer.Equals(key, currentKey))
{
if (currentGroup != null && currentGroup.Any())
{
yield return new Grouping<TKey, TSource>(currentKey, currentGroup);
}
currentGroup = new List<TSource>();
}
currentGroup.Add(item);
first = false;
currentKey = key;
}
// Last group
if (currentGroup != null && currentGroup.Any())
{
yield return new Grouping<TKey, TSource>(currentKey, currentGroup);
}
}
private class Grouping<TKey, TElement> : IGrouping<TKey, TElement>
{
private readonly TKey _key;
private readonly IEnumerable<TElement> _elements;
public Grouping(TKey key, IEnumerable<TElement> elements)
{
_key = key;
_elements = elements;
}
public TKey Key
{
get { return _key; }
}
public IEnumerator<TElement> GetEnumerator()
{
return _elements.GetEnumerator();
}
IEnumerator IEnumerable.GetEnumerator()
{
return GetEnumerator();
}
}
}
答案 3 :(得分:0)
像托马斯一样,但速度稍快
public static IEnumerable<IGrouping<TKey, TSource>> FastGroupBy<TSource, TKey>(
this IEnumerable<TSource> source,
Func<TSource, TKey> keySelector)
{
using (var enumerator = source.GetEnumerator())
{
if (enumerator.MoveNext())
{
Grouping<TKey, TSource> grouping;
List<TSource> list = new List<TSource>();
TKey key = keySelector(enumerator.Current);
list.Add(enumerator.Current);
while (enumerator.MoveNext())
{
var currentKey = keySelector(enumerator.Current);
if (key.Equals(currentKey))
{
list.Add(enumerator.Current);
continue;
}
grouping = new Grouping<TKey, TSource>(key, list);
yield return grouping;
key = currentKey;
list = new List<TSource>();
list.Add(enumerator.Current);
}
grouping = new Grouping<TKey, TSource>(key, list);
yield return grouping;
}
}
}