我有一个名为StockDetails
的实体使用Entity Framework,见下图
我想要提取一个列表IEnumerable<StockDetail>
,由Reels
汇总,Qtyton
,平均日期来自Days
(日期时间),并按其余属性进行分组。< / p>
我正在使用Entity Framework构建一个数据层(WCF服务)作为ORM,一些服务是我试图转换为linq / lamdba表达式的旧SQL查询。但我对如何写作和想要一些帮助很新。
这是我在lambda中启动查询的方式,但是我被困在groupby / sum / average部分。
public IEnumerable<StockDetail> ListStockDetailByCustomerNumber(int customerNumber)
{
var CustNo = customerNumber.ToString();
return _entities.StockDetails
.Where(x => x.Custno == CustNo)
.GroupBy(
x =>
new
{
x.Millcd,
x.Matercd,
x.Proddesc,
x.Grammage,
x.Reelwidth,
x.Ordercode,
x.Buyordno,
x.Whsedesc,
x.Co,
x.Finished,
x.Pm,
x.PurchaseOrder,
x.Diameter,
x.Rtadate,
x.Custno,
x.Reels,
x.Days,
x.Qtyton
})
.ToList();
}
问题解决了:
public IEnumerable<StockDetail> ListStockDetailByCustomerNumber(int customerNumber)
{
var stockDetailsList = new List<StockDetail>();
var custNo = customerNumber.ToString();
var list = _entities.StockDetails
.Where(x => x.Custno == custNo )
.GroupBy(
x =>
new
{
x.Millcd,
x.Matercd,
x.Proddesc,
x.Grammage,
x.Reelwidth,
x.Ordercode,
x.Buyordno,
x.Whsedesc,
x.Co,
x.Finished,
x.Pm,
x.PurchaseOrder,
x.Diameter,
x.Rtadate,
x.Custno,
x.UpdDte
})
.Select(x => new
{
x.Key.Millcd,
x.Key.Matercd,
x.Key.Proddesc,
x.Key.Grammage,
x.Key.Reelwidth,
x.Key.Ordercode,
x.Key.Buyordno,
Reels = x.Sum(p => p.Reels),
Qtyton = x.Sum(p => p.Qtyton),
Day = x.Max(p => p.Days),
//Day = x.Average(p => p.Days.Ticks), // Want to calculate average datetime of date but linq dosn't support datetime.ticks
x.Key.Whsedesc,
x.Key.Co,
x.Key.Finished,
x.Key.Pm,
x.Key.PurchaseOrder,
x.Key.Diameter,
x.Key.Rtadate,
x.Key.Custno,
x.Key.UpdDte
});
foreach (var s in list)
{
stockDetailsList.Add(new StockDetail
{
Millcd = GetFriendlyNameForKey(s.Millcd),
Matercd = s.Matercd,
Proddesc = s.Proddesc,
Grammage = s.Grammage,
Reelwidth = s.Reelwidth,
Ordercode = s.Ordercode,
Buyordno = s.Buyordno,
Reels = s.Reels,
Qtyton = s.Qtyton,
Days = s.Day,
Whsedesc = s.Whsedesc,
Co = s.Co,
Finished = s.Finished,
Pm = s.Pm,
PurchaseOrder = s.PurchaseOrder,
Diameter = s.Diameter,
Rtadate = s.Rtadate,
Custno = s.Custno,
UpdDte = s.UpdDte
});
}
return stockDetailsList;
}
这是查询在T-SQL中的外观
SELECT
Millcd, Matercd,
Proddesc, Grammage,
Reelwidth, Ordercode,
Buyordno,
SUM(Reels) as Reels,
SUM(Qtyton) as Qtyton,
Whsedesc, Co,
(cast(FLOOR(avg(cast(DateProd as float))) as datetime)) As Days,
Finished, Pm,
PurchaseOrder,
Diameter, Rtadate,
Custno, UpdDte
FROM StockDetail
WHERE custno = @custcode
GROUP BY Millcd, Matercd, Proddesc, Grammage, Reelwidth, Ordercode, Buyordno,
Whsedesc, Co, Finished, Pm, PurchaseOrder, Diameter, Rtadate, Custno, UpdDte
答案 0 :(得分:2)
不确定这是否会对您有所帮助,但您可以添加
Reels = (_entities.StockDetails
.Where(x => x.Custno == CustNo).Sum(x=>x.Reels))
在您的选择中而不是x.Reels
,并对Qtyton
平均使用平均延期
你的选择将在你的where语句之后看起来像.Select(x=>new {...})
,然后是