我有以下课程:
public class FactoryOrder
{
public string Text { get; set; }
public int OrderNo { get; set; }
}
和包含FactoryOrders列表的集合
List<FactoryOrder>()
这是示例数据
FactoryOrder("Apple",20)
FactoryOrder("Orange",21)
FactoryOrder("WaterMelon",42)
FactoryOrder("JackFruit",51)
FactoryOrder("Grapes",71)
FactoryOrder("mango",72)
FactoryOrder("Cherry",73)
我的要求是合并工厂订单的文本,其中orderNo是顺序的,并保留合并的FactoryOrder的较低的orderNo - 所以产生的输出将是
FactoryOrder("Apple Orange",20) //Merged Apple and Orange and retained Lower OrderNo 20
FactoryOrder("WaterMelon",42)
FactoryOrder("JackFruit",51)
FactoryOrder("Grapes mango Cherry",71)//Merged Grapes,Mango,cherry and retained Lower OrderNo 71
我是Linq的新手,所以不确定如何解决这个问题。任何帮助或指示将不胜感激
答案 0 :(得分:4)
如评论所述,如果您的逻辑依赖于连续项,那么LINQ并不是最简单的方法。使用简单的循环。
您可以先使用LINQ命令它们:orders.OrderBy(x => x.OrderNo )
var consecutiveOrdernoGroups = new List<List<FactoryOrder>> { new List<FactoryOrder>() };
FactoryOrder lastOrder = null;
foreach (FactoryOrder order in orders.OrderBy(o => o.OrderNo))
{
if (lastOrder == null || lastOrder.OrderNo == order.OrderNo - 1)
consecutiveOrdernoGroups.Last().Add(order);
else
consecutiveOrdernoGroups.Add(new List<FactoryOrder> { order });
lastOrder = order;
}
现在,您只需构建FactoryOrder
列表,其中包含每个组的联接名称。这是LINQ和String.Join
可以派上用场的地方:
orders = consecutiveOrdernoGroups
.Select(list => new FactoryOrder
{
Text = String.Join(" ", list.Select(o => o.Text)),
OrderNo = list.First().OrderNo // is the minimum number
})
.ToList();
带样品的
答案 1 :(得分:1)
我不确定是否可以使用单个可理解的LINQ表达式来完成。什么是有效的是一个简单的枚举:
private static IEnumerable<FactoryOrder> Merge(IEnumerable<FactoryOrder> orders)
{
var enumerator = orders.OrderBy(x => x.OrderNo).GetEnumerator();
FactoryOrder previousOrder = null;
FactoryOrder mergedOrder = null;
while (enumerator.MoveNext())
{
var current = enumerator.Current;
if (mergedOrder == null)
{
mergedOrder = new FactoryOrder(current.Text, current.OrderNo);
}
else
{
if (current.OrderNo == previousOrder.OrderNo + 1)
{
mergedOrder.Text += current.Text;
}
else
{
yield return mergedOrder;
mergedOrder = new FactoryOrder(current.Text, current.OrderNo);
}
}
previousOrder = current;
}
if (mergedOrder != null)
yield return mergedOrder;
}
这假设FactoryOrder
有一个构造函数接受Text和OrderNo。
答案 2 :(得分:0)
只是编写了一种方法,它的性能非常紧凑,非常好:
static List<FactoryOrder> MergeValues(List<FactoryOrder> dirtyList)
{
FactoryOrder[] temp1 = dirtyList.ToArray();
int index = -1;
for (int i = 1; i < temp1.Length; i++)
{
if (temp1[i].OrderNo - temp1[i - 1].OrderNo != 1) { index = -1; continue; }
if(index == -1 ) index = dirtyList.IndexOf(temp1[i - 1]);
dirtyList[index].Text += " " + temp1[i].Text;
dirtyList.Remove(temp1[i]);
}
return dirtyList;
}
答案 3 :(得分:0)
使用副作用的Linq实现:
var groupId = 0;
var previous = Int32.MinValue;
var grouped = GetItems()
.OrderBy(x => x.OrderNo)
.Select(x =>
{
var @group = x.OrderNo != previous + 1 ? (groupId = x.OrderNo) : groupId;
previous = x.OrderNo;
return new
{
GroupId = group,
Item = x
};
})
.GroupBy(x => x.GroupId)
.Select(x => new FactoryOrder(
String.Join(" ", x.Select(y => y.Item.Text).ToArray()),
x.Key))
.ToArray();
foreach (var item in grouped)
{
Console.WriteLine(item.Text + "\t" + item.OrderNo);
}
输出:
Apple Orange 20
WaterMelon 42
JackFruit 51
Grapes mango Cherry 71
或者,使用生成器扩展方法消除副作用
public static class IEnumerableExtensions
{
public static IEnumerable<IList<T>> MakeSets<T>(this IEnumerable<T> items, Func<T, T, bool> areInSameGroup)
{
var result = new List<T>();
foreach (var item in items)
{
if (!result.Any() || areInSameGroup(result[result.Count - 1], item))
{
result.Add(item);
continue;
}
yield return result;
result = new List<T> { item };
}
if (result.Any())
{
yield return result;
}
}
}
并且您的实施变为
var grouped = GetItems()
.OrderBy(x => x.OrderNo)
.MakeSets((prev, next) => next.OrderNo == prev.OrderNo + 1)
.Select(x => new FactoryOrder(
String.Join(" ", x.Select(y => y.Text).ToArray()),
x.First().OrderNo))
.ToList();
foreach (var item in grouped)
{
Console.WriteLine(item.Text + "\t" + item.OrderNo);
}
输出相同但代码更易于遵循和维护。
答案 4 :(得分:0)
LINQ +顺序处理= Aggregate。
虽然使用Aggregate
始终是最佳选择,但并未说明。 for(each)
循环中的顺序处理通常会产生更好的可读代码(参见Tim的回答)。无论如何,这是一个纯粹的LINQ解决方案。
循环遍历订单,首先将它们收集在字典中,其中第一个Id
连续订单为Key
,订单集合为Value
。然后它使用string.Join
生成结果:
类别:
class FactoryOrder
{
public FactoryOrder(int id, string name)
{
this.Id = id;
this.Name = name;
}
public int Id { get; set; }
public string Name { get; set; }
}
该计划:
IEnumerable<FactoryOrder> orders =
new[]
{
new FactoryOrder(20, "Apple"),
new FactoryOrder(21, "Orange"),
new FactoryOrder(22, "Pear"),
new FactoryOrder(42, "WaterMelon"),
new FactoryOrder(51, "JackFruit"),
new FactoryOrder(71, "Grapes"),
new FactoryOrder(72, "Mango"),
new FactoryOrder(73, "Cherry"),
};
var result = orders.OrderBy(t => t.Id).Aggregate(new Dictionary<int, List<FactoryOrder>>(),
(dir, curr) =>
{
var prevId = dir.SelectMany(d => d.Value.Select(v => v.Id))
.OrderBy(i => i).DefaultIfEmpty(-1)
.LastOrDefault();
var newKey = dir.Select(d => d.Key).OrderBy(i => i).LastOrDefault();
if (prevId == -1 || curr.Id - prevId > 1)
{
newKey = curr.Id;
}
if (!dir.ContainsKey(newKey))
{
dir[newKey] = new List<FactoryOrder>();
}
dir[newKey].Add(curr);
return dir;
}, c => c)
.Select(t => new
{
t.Key,
Items = string.Join(" ", t.Value.Select(v => v.Name))
}).ToList();
正如你所看到的,在这里发生的事情并不是那么简单,而且当有很多&#34;很多时候,它的表现很糟糕。项目,因为一遍又一遍地访问不断增长的字典。
这是一种冗长的说法:不要使用Aggregate。