小组通过多列

Question

我该如何在linq中进行多个列

与SQL类似的东西：

SELECT * FROM <TableName> GROUP BY <Column1>,<Column2>

如何将其转换为Linq：

QuantityBreakdown
(
    MaterialID int,
    ProductID int,
    Quantity float
)

INSERT INTO @QuantityBreakdown (MaterialID, ProductID, Quantity)
SELECT MaterialID, ProductID, SUM(Quantity)
FROM @Transactions
GROUP BY MaterialID, ProductID

Answer 1

使用匿名类型。

例如

group x by new { x.Column1, x.Column2 }

Answer 2

程序样本

.GroupBy(x => new { x.Column1, x.Column2 })

Answer 3

好的，这是：

var query = (from t in Transactions
             group t by new {t.MaterialID, t.ProductID}
             into grp
                    select new
                    {
                        grp.Key.MaterialID,
                        grp.Key.ProductID,
                        Quantity = grp.Sum(t => t.Quantity)
                    }).ToList();

Answer 4

对于多列组，请尝试...

GroupBy(x=> new { x.Column1, x.Column2 }, (key, group) => new 
{ 
  Key1 = key.Column1,
  Key2 = key.Column2,
  Result = group.ToList() 
});

相同的方式可以添加列3，第4列等。

Answer 5

由于C＃7，您也可以使用值元组：

group x by (x.Column1, x.Column2)

或者

.GroupBy(x => (x.Column1, x.Column2))

Answer 6

您也可以使用元组<>进行强大的分组。

from grouping in list.GroupBy(x => new Tuple<string,string,string>(x.Person.LastName,x.Person.FirstName,x.Person.MiddleName))
select new SummaryItem
{
    LastName = grouping.Key.Item1,
    FirstName = grouping.Key.Item2,
    MiddleName = grouping.Key.Item3,
    DayCount = grouping.Count(), 
    AmountBilled = grouping.Sum(x => x.Rate),
}

Answer 7

尽管这个问题是按类属性询问组，但是如果要通过多个列对ADO对象进行分组（例如DataTable），则必须将“新”项目分配给变量：

EnumerableRowCollection<DataRow> ClientProfiles = CurrentProfiles.AsEnumerable()
                        .Where(x => CheckProfileTypes.Contains(x.Field<object>(ProfileTypeField).ToString()));
// do other stuff, then check for dups...
                    var Dups = ClientProfiles.AsParallel()
                        .GroupBy(x => new { InterfaceID = x.Field<object>(InterfaceField).ToString(), ProfileType = x.Field<object>(ProfileTypeField).ToString() })
                        .Where(z => z.Count() > 1)
                        .Select(z => z);

Answer 8

C＃7.1或更大 使用 Tuples 和 Inferred tuple element names:

// declarative query syntax
var result = 
    from x in table
    group x by (x.Column1, x.Column2) into g
    select (g.Key.Column1, g.Key.Column2, QuantitySum: g.Sum(x => x.Quantity));

// or method syntax
var result2 = table.GroupBy(x => (x.Column1, x.Column2))
    .Select(g => (g.Key.Column1, g.Key.Column2, QuantitySum: g.Sum(x => x.Quantity)));

C＃3或更大 使用 anonymous types:

// declarative query syntax
var result3 = 
    from x in table
    group x by new { x.Column1, x.Column2 } into g
    select new { g.Key.Column1, g.Key.Column2, QuantitySum = g.Sum(x => x.Quantity) };

// or method syntax
var result4 = table.GroupBy(x => new { x.Column1, x.Column2 })
    .Select(g => 
      new { g.Key.Column1, g.Key.Column2 , QuantitySum= g.Sum(x => x.Quantity) });

Answer 9

var Results= query.GroupBy(f => new { /* add members here */  });

Answer 10

.GroupBy(x => (x.MaterialID, x.ProductID))

Answer 11

.GroupBy(x => x.Column1 + " " + x.Column2)

Answer 12

X组由new {X.Col，X.Col}组

Answer 13

要注意的一件事是，您需要在lambda表达式中发送对象，并且不能为类使用实例。

例子：

public class Key
{
    public string Prop1 { get; set; }

    public string Prop2 { get; set; }
}

这将编译，但会产生 每个周期的一个关键.

var groupedCycles = cycles.GroupBy(x => new Key
{ 
  Prop1 = x.Column1, 
  Prop2 = x.Column2 
})

如果您不愿命名密钥属性，然后重新命名，则可以这样做。这将 GroupBy 正确地为您提供关键属性。

var groupedCycles = cycles.GroupBy(x => new 
{ 
  Prop1 = x.Column1, 
  Prop2= x.Column2 
})

foreach (var groupedCycle in groupedCycles)
{
    var key = new Key();
    key.Prop1 = groupedCycle.Key.Prop1;
    key.Prop2 = groupedCycle.Key.Prop2;
}