我大约在6年前为一个应用程序编写了这个扩展类，并且从那时起一直在许多解决方案中使用它，没有任何问题。希望能有所帮助。

编辑:我注意到有些人可能不知道如何使用扩展类。

要使用此扩展类，只需在类中添加以下行引用其名称空间 使用joinext;

^这应该允许你在任何你碰巧使用的IEnumerable对象集合上看到扩展函数的智能感知。

希望这能有所帮助。如果仍然不清楚，请告诉我，我希望写一个关于如何使用它的示例。

下面是这个类:

namespace joinext
{    
public static class JoinExtensions
    {
        public static IEnumerable<TResult> FullOuterJoin<TOuter, TInner, TKey, TResult>(
            this IEnumerable<TOuter> outer,
            IEnumerable<TInner> inner,
            Func<TOuter, TKey> outerKeySelector,
            Func<TInner, TKey> innerKeySelector,
            Func<TOuter, TInner, TResult> resultSelector)
            where TInner : class
            where TOuter : class
        {
            var innerLookup = inner.ToLookup(innerKeySelector);
            var outerLookup = outer.ToLookup(outerKeySelector);

            var innerJoinItems = inner
                .Where(innerItem => !outerLookup.Contains(innerKeySelector(innerItem)))
                .Select(innerItem => resultSelector(null, innerItem));

            return outer
                .SelectMany(outerItem =>
                {
                    var innerItems = innerLookup[outerKeySelector(outerItem)];

                    return innerItems.Any() ? innerItems : new TInner[] { null };
                }, resultSelector)
                .Concat(innerJoinItems);
        }


        public static IEnumerable<TResult> LeftJoin<TOuter, TInner, TKey, TResult>(
            this IEnumerable<TOuter> outer,
            IEnumerable<TInner> inner,
            Func<TOuter, TKey> outerKeySelector,
            Func<TInner, TKey> innerKeySelector,
            Func<TOuter, TInner, TResult> resultSelector)
        {
            return outer.GroupJoin(
                inner,
                outerKeySelector,
                innerKeySelector,
                (o, i) =>
                    new { o = o, i = i.DefaultIfEmpty() })
                    .SelectMany(m => m.i.Select(inn =>
                        resultSelector(m.o, inn)
                        ));

        }



        public static IEnumerable<TResult> RightJoin<TOuter, TInner, TKey, TResult>(
            this IEnumerable<TOuter> outer,
            IEnumerable<TInner> inner,
            Func<TOuter, TKey> outerKeySelector,
            Func<TInner, TKey> innerKeySelector,
            Func<TOuter, TInner, TResult> resultSelector)
        {
            return inner.GroupJoin(
                outer,
                innerKeySelector,
                outerKeySelector,
                (i, o) =>
                    new { i = i, o = o.DefaultIfEmpty() })
                    .SelectMany(m => m.o.Select(outt =>
                        resultSelector(outt, m.i)
                        ));

        }

    }
}

我不知道这是否适用于所有情况，但从逻辑上讲，这似乎是正确的。其思想是取一个左外连接和一个右外连接，然后取结果的并集。

var firstNames = new[]
{
    new { ID = 1, Name = "John" },
    new { ID = 2, Name = "Sue" },
};
var lastNames = new[]
{
    new { ID = 1, Name = "Doe" },
    new { ID = 3, Name = "Smith" },
};
var leftOuterJoin =
    from first in firstNames
    join last in lastNames on first.ID equals last.ID into temp
    from last in temp.DefaultIfEmpty()
    select new
    {
        first.ID,
        FirstName = first.Name,
        LastName = last?.Name,
    };
var rightOuterJoin =
    from last in lastNames
    join first in firstNames on last.ID equals first.ID into temp
    from first in temp.DefaultIfEmpty()
    select new
    {
        last.ID,
        FirstName = first?.Name,
        LastName = last.Name,
    };
var fullOuterJoin = leftOuterJoin.Union(rightOuterJoin);

这就像写的一样，因为它是在LINQ to Objects中。如果LINQ to SQL或其他，查询处理器可能不支持安全导航或其他操作。你必须使用条件操作符有条件地获取值。

也就是说,

var leftOuterJoin =
    from first in firstNames
    join last in lastNames on first.ID equals last.ID into temp
    from last in temp.DefaultIfEmpty()
    select new
    {
        first.ID,
        FirstName = first.Name,
        LastName = last != null ? last.Name : default,
    };

这是另一个完整的外部连接

由于对其他命题的简单性和可读性不太满意，我最后得出了这样的结论:

它没有快速的自命(在2020m CPU上加入1000 * 1000大约800毫秒:2.4ghz / 2核)。对我来说，它只是一个紧凑而随意的完全外部连接。

它的工作原理与SQL FULL OUTER JOIN相同(重复保存)

欢呼;-)

using System;
using System.Collections.Generic;
using System.Linq;
namespace NS
{
public static class DataReunion
{
    public static List<Tuple<T1, T2>> FullJoin<T1, T2, TKey>(List<T1> List1, Func<T1, TKey> KeyFunc1, List<T2> List2, Func<T2, TKey> KeyFunc2)
    {
        List<Tuple<T1, T2>> result = new List<Tuple<T1, T2>>();

        Tuple<TKey, T1>[] identifiedList1 = List1.Select(_ => Tuple.Create(KeyFunc1(_), _)).OrderBy(_ => _.Item1).ToArray();
        Tuple<TKey, T2>[] identifiedList2 = List2.Select(_ => Tuple.Create(KeyFunc2(_), _)).OrderBy(_ => _.Item1).ToArray();

        identifiedList1.Where(_ => !identifiedList2.Select(__ => __.Item1).Contains(_.Item1)).ToList().ForEach(_ => {
            result.Add(Tuple.Create<T1, T2>(_.Item2, default(T2)));
        });

        result.AddRange(
            identifiedList1.Join(identifiedList2, left => left.Item1, right => right.Item1, (left, right) => Tuple.Create<T1, T2>(left.Item2, right.Item2)).ToList()
        );

        identifiedList2.Where(_ => !identifiedList1.Select(__ => __.Item1).Contains(_.Item1)).ToList().ForEach(_ => {
            result.Add(Tuple.Create<T1, T2>(default(T1), _.Item2));
        });

        return result;
    }
}
}

这个想法是

基于提供的关键函数生成器构建id 处理仅剩下的项 流程内部连接 只处理正确的项目

下面是一个与之相关的简单测试:

在结束处放置断点，以手动验证它的行为是否符合预期

using System;
using System.Collections.Generic;
using Microsoft.VisualStudio.TestTools.UnitTesting;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
using NS;

namespace Tests
{
[TestClass]
public class DataReunionTest
{
    [TestMethod]
    public void Test()
    {
        List<Tuple<Int32, Int32, String>> A = new List<Tuple<Int32, Int32, String>>();
        List<Tuple<Int32, Int32, String>> B = new List<Tuple<Int32, Int32, String>>();

        Random rnd = new Random();

        /* Comment the testing block you do not want to run
        /* Solution to test a wide range of keys*/

        for (int i = 0; i < 500; i += 1)
        {
            A.Add(Tuple.Create(rnd.Next(1, 101), rnd.Next(1, 101), "A"));
            B.Add(Tuple.Create(rnd.Next(1, 101), rnd.Next(1, 101), "B"));
        }

        /* Solution for essential testing*/

        A.Add(Tuple.Create(1, 2, "B11"));
        A.Add(Tuple.Create(1, 2, "B12"));
        A.Add(Tuple.Create(1, 3, "C11"));
        A.Add(Tuple.Create(1, 3, "C12"));
        A.Add(Tuple.Create(1, 3, "C13"));
        A.Add(Tuple.Create(1, 4, "D1"));

        B.Add(Tuple.Create(1, 1, "A21"));
        B.Add(Tuple.Create(1, 1, "A22"));
        B.Add(Tuple.Create(1, 1, "A23"));
        B.Add(Tuple.Create(1, 2, "B21"));
        B.Add(Tuple.Create(1, 2, "B22"));
        B.Add(Tuple.Create(1, 2, "B23"));
        B.Add(Tuple.Create(1, 3, "C2"));
        B.Add(Tuple.Create(1, 5, "E2"));

        Func<Tuple<Int32, Int32, String>, Tuple<Int32, Int32>> key = (_) => Tuple.Create(_.Item1, _.Item2);

        var watch = System.Diagnostics.Stopwatch.StartNew();
        var res = DataReunion.FullJoin(A, key, B, key);
        watch.Stop();
        var elapsedMs = watch.ElapsedMilliseconds;
        String aser = JToken.FromObject(res).ToString(Formatting.Indented);
        Console.Write(elapsedMs);
    }
}

}

我认为LINQ join子句并不是这个问题的正确解决方案，因为join子句的目的并不是按照这个任务解决方案所需的方式来积累数据。合并创建的独立集合的代码变得太复杂了，也许这对于学习目的来说是可以的，但对于真正的应用程序来说不是。解决这个问题的方法之一是下面的代码:

class Program
{
    static void Main(string[] args)
    {
        List<FirstName> firstNames = new List<FirstName>();
        firstNames.Add(new FirstName { ID = 1, Name = "John" });
        firstNames.Add(new FirstName { ID = 2, Name = "Sue" });

        List<LastName> lastNames = new List<LastName>();
        lastNames.Add(new LastName { ID = 1, Name = "Doe" });
        lastNames.Add(new LastName { ID = 3, Name = "Smith" });

        HashSet<int> ids = new HashSet<int>();
        foreach (var name in firstNames)
        {
            ids.Add(name.ID);
        }
        foreach (var name in lastNames)
        {
            ids.Add(name.ID);
        }
        List<FullName> fullNames = new List<FullName>();
        foreach (int id in ids)
        {
            FullName fullName = new FullName();
            fullName.ID = id;
            FirstName firstName = firstNames.Find(f => f.ID == id);
            fullName.FirstName = firstName != null ? firstName.Name : string.Empty;
            LastName lastName = lastNames.Find(l => l.ID == id);
            fullName.LastName = lastName != null ? lastName.Name : string.Empty;
            fullNames.Add(fullName);
        }
    }
}
public class FirstName
{
    public int ID;

    public string Name;
}

public class LastName
{
    public int ID;

    public string Name;
}
class FullName
{
    public int ID;

    public string FirstName;

    public string LastName;
}

如果真正的集合对于HashSet的形成很大，而不是foreach循环可以使用下面的代码:

List<int> firstIds = firstNames.Select(f => f.ID).ToList();
List<int> LastIds = lastNames.Select(l => l.ID).ToList();
HashSet<int> ids = new HashSet<int>(firstIds.Union(LastIds));//Only unique IDs will be included in HashSet

我大约在6年前为一个应用程序编写了这个扩展类，并且从那时起一直在许多解决方案中使用它，没有任何问题。希望能有所帮助。

编辑:我注意到有些人可能不知道如何使用扩展类。

要使用此扩展类，只需在类中添加以下行引用其名称空间 使用joinext;

^这应该允许你在任何你碰巧使用的IEnumerable对象集合上看到扩展函数的智能感知。

希望这能有所帮助。如果仍然不清楚，请告诉我，我希望写一个关于如何使用它的示例。

下面是这个类:

namespace joinext
{    
public static class JoinExtensions
    {
        public static IEnumerable<TResult> FullOuterJoin<TOuter, TInner, TKey, TResult>(
            this IEnumerable<TOuter> outer,
            IEnumerable<TInner> inner,
            Func<TOuter, TKey> outerKeySelector,
            Func<TInner, TKey> innerKeySelector,
            Func<TOuter, TInner, TResult> resultSelector)
            where TInner : class
            where TOuter : class
        {
            var innerLookup = inner.ToLookup(innerKeySelector);
            var outerLookup = outer.ToLookup(outerKeySelector);

            var innerJoinItems = inner
                .Where(innerItem => !outerLookup.Contains(innerKeySelector(innerItem)))
                .Select(innerItem => resultSelector(null, innerItem));

            return outer
                .SelectMany(outerItem =>
                {
                    var innerItems = innerLookup[outerKeySelector(outerItem)];

                    return innerItems.Any() ? innerItems : new TInner[] { null };
                }, resultSelector)
                .Concat(innerJoinItems);
        }


        public static IEnumerable<TResult> LeftJoin<TOuter, TInner, TKey, TResult>(
            this IEnumerable<TOuter> outer,
            IEnumerable<TInner> inner,
            Func<TOuter, TKey> outerKeySelector,
            Func<TInner, TKey> innerKeySelector,
            Func<TOuter, TInner, TResult> resultSelector)
        {
            return outer.GroupJoin(
                inner,
                outerKeySelector,
                innerKeySelector,
                (o, i) =>
                    new { o = o, i = i.DefaultIfEmpty() })
                    .SelectMany(m => m.i.Select(inn =>
                        resultSelector(m.o, inn)
                        ));

        }



        public static IEnumerable<TResult> RightJoin<TOuter, TInner, TKey, TResult>(
            this IEnumerable<TOuter> outer,
            IEnumerable<TInner> inner,
            Func<TOuter, TKey> outerKeySelector,
            Func<TInner, TKey> innerKeySelector,
            Func<TOuter, TInner, TResult> resultSelector)
        {
            return inner.GroupJoin(
                outer,
                innerKeySelector,
                outerKeySelector,
                (i, o) =>
                    new { i = i, o = o.DefaultIfEmpty() })
                    .SelectMany(m => m.o.Select(outt =>
                        resultSelector(outt, m.i)
                        ));

        }

    }
}

我喜欢她的回答，但它没有使用延迟执行(输入序列被调用ToLookup急切地枚举)。因此，在查看了LINQ-to-objects的.NET源代码后，我想到了这个:

public static class LinqExtensions
{
    public static IEnumerable<TResult> FullOuterJoin<TLeft, TRight, TKey, TResult>(
        this IEnumerable<TLeft> left,
        IEnumerable<TRight> right,
        Func<TLeft, TKey> leftKeySelector,
        Func<TRight, TKey> rightKeySelector,
        Func<TLeft, TRight, TKey, TResult> resultSelector,
        IEqualityComparer<TKey> comparator = null,
        TLeft defaultLeft = default(TLeft),
        TRight defaultRight = default(TRight))
    {
        if (left == null) throw new ArgumentNullException("left");
        if (right == null) throw new ArgumentNullException("right");
        if (leftKeySelector == null) throw new ArgumentNullException("leftKeySelector");
        if (rightKeySelector == null) throw new ArgumentNullException("rightKeySelector");
        if (resultSelector == null) throw new ArgumentNullException("resultSelector");

        comparator = comparator ?? EqualityComparer<TKey>.Default;
        return FullOuterJoinIterator(left, right, leftKeySelector, rightKeySelector, resultSelector, comparator, defaultLeft, defaultRight);
    }

    internal static IEnumerable<TResult> FullOuterJoinIterator<TLeft, TRight, TKey, TResult>(
        this IEnumerable<TLeft> left,
        IEnumerable<TRight> right,
        Func<TLeft, TKey> leftKeySelector,
        Func<TRight, TKey> rightKeySelector,
        Func<TLeft, TRight, TKey, TResult> resultSelector,
        IEqualityComparer<TKey> comparator,
        TLeft defaultLeft,
        TRight defaultRight)
    {
        var leftLookup = left.ToLookup(leftKeySelector, comparator);
        var rightLookup = right.ToLookup(rightKeySelector, comparator);
        var keys = leftLookup.Select(g => g.Key).Union(rightLookup.Select(g => g.Key), comparator);

        foreach (var key in keys)
            foreach (var leftValue in leftLookup[key].DefaultIfEmpty(defaultLeft))
                foreach (var rightValue in rightLookup[key].DefaultIfEmpty(defaultRight))
                    yield return resultSelector(leftValue, rightValue, key);
    }
}

该实现具有以下重要属性:

延迟执行，在枚举输出序列之前不会枚举输入序列。 每个输入序列只枚举一次。 保留输入序列的顺序，在某种意义上，它将以左序列和右序列的顺序生成元组(对于不在左序列中出现的键)。

这些属性很重要，因为它们是那些刚接触FullOuterJoin但有LINQ经验的人所期望的。