如何在 LINQ 中对多列进行 GroupBy
SQL中类似的东西:
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
使用匿名类型。
例如
group x by new { x.Column1, x.Column2 }
程序样本:
.GroupBy(x => new { x.Column1, x.Column2 })
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();
对于按多列分组,请改用此方法...
GroupBy(x=> new { x.Column1, x.Column2 }, (key, group) => new
{
Key1 = key.Column1,
Key2 = key.Column2,
Result = group.ToList()
});
同样的方式你可以添加 Column3、Column4 等。
Result
包含链接到所有列的所有数据集。非常感谢!
从 C# 7 开始,您还可以使用值元组:
group x by (x.Column1, x.Column2)
或者
.GroupBy(x => (x.Column1, x.Column2))
.GroupBy(x => new { x.Column1, x.Column2})
C# 7.1 或更高版本 使用 Tuples
和 Inferred tuple element names
(目前它仅适用于 linq to objects
,并且在需要表达式树时不受支持,例如 someIQueryable.GroupBy(...)
。Github issue):
// declarative query syntax
var result =
from x in inMemoryTable
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 = inMemoryTable.GroupBy(x => (x.Column1, x.Column2))
.Select(g => (g.Key.Column1, g.Key.Column2, QuantitySum: g.Sum(x => x.Quantity)));
C# 3 或更高版本 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) });
您还可以使用 Tuple<> 进行强类型分组。
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),
}
尽管这个问题询问的是按类属性分组,但如果您想针对 ADO 对象(如 DataTable)按多列分组,则必须将“新”项分配给变量:
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);
var Results= query.GroupBy(f => new { /* add members here */ });
需要注意的是,您需要为 Lambda 表达式发送对象,并且不能将实例用于类。
例子:
public class Key
{
public string Prop1 { get; set; }
public string Prop2 { get; set; }
}
这将编译,但每个周期会生成一个密钥。
var groupedCycles = cycles.GroupBy(x => new Key
{
Prop1 = x.Column1,
Prop2 = x.Column2
})
如果您不想命名关键属性然后检索它们,您可以这样做。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;
}
.GroupBy(x => x.Column1 + " " + x.Column2)
Linq.Enumerable.Aggregate()
这甚至允许按动态数量的属性进行分组:propertyValues.Aggregate((current, next) => current + " " + next)
。
将 x 按新 { x.Col, x.Col} 分组
.GroupBy(x => (x.MaterialID, x.ProductID))
对于 VB 和匿名/lambda:
query.GroupBy(Function(x) New With {Key x.Field1, Key x.Field2, Key x.FieldN })