我的38000个条目中的列表中仍然存在实际的性能问题，我需要将它们映射到另一个表以进行导出，我正在考虑将其移至存储的proc，但仍担心那里的性能如何。该代码有效，但是执行时间很长，希望将其转换为存储的proc。
private List<TradeItemsExport> MapTradeItems(List<TradeItems> tradeItem)
{
List<TradeItemsExport> retList = new List<TradeItemsExport>();
try
{
var StockImport = new StockItemExported();
List<StandardLookUpList> _AnalsisCodes = GetAnayalsisCodesForExportCode();
StandardLookUpList sport = new StandardLookUpList();
StandardLookUpList gender = new StandardLookUpList();
StandardLookUpList colour = new StandardLookUpList();
StandardLookUpList Size = new StandardLookUpList();
StandardLookUpList categorycode = new StandardLookUpList();
StandardLookUpList categorydesc = new StandardLookUpList();
StandardLookUpList subcategorycode = new StandardLookUpList();
StandardLookUpList subcategorydesc = new StandardLookUpList();
StandardLookUpList brandcode = new StandardLookUpList();
StandardLookUpList branddesc = new StandardLookUpList();
using (var db = new liveEntities1())
{
int count = 0;
foreach (var item in tradeItem)
{
count++;
bool hasprocessed = HasTransactionBeenProcessed(item.ItemCode);
if (hasprocessed == false)
{
var codesForThisItem = _AnalsisCodes.Where(w => w.ItemCode == item.ItemCode);
if (codesForThisItem.Any())
{
sport = codesForThisItem.FirstOrDefault(x => x.code == Constants.Sport);
gender = codesForThisItem.FirstOrDefault(x => x.code == Constants.Gender);
colour = codesForThisItem.FirstOrDefault(x => x.code == Constants.Colour);
Size = codesForThisItem.FirstOrDefault(x => x.code == Constants.Size);
categorycode = codesForThisItem.FirstOrDefault(x => x.code == Constants.Category);
categorydesc = codesForThisItem.FirstOrDefault(x => x.code == Constants.Category);
subcategorycode = codesForThisItem.FirstOrDefault(x => x.code == Constants.SubCategory);
subcategorydesc = codesForThisItem.FirstOrDefault(x => x.code == Constants.SubCategory);
brandcode = codesForThisItem.FirstOrDefault(x => x.code == Constants.Brand);
string SportCodeValue, SportDescValue;
if (sport == null)
{
SportCodeValue = "";
SportDescValue = "";
}
else
{
SportCodeValue = sport.LookupValue.ToString();
SportDescValue = sport.description;
}
string GenderCodeValue, GenderCodeDesc;
if (gender == null)
{
GenderCodeValue = "";
GenderCodeDesc = "";
}
else
{
GenderCodeValue = gender.LookupValue.ToString();
GenderCodeDesc = gender.description;
}
string ColourCodeValue, ColourCodeDesc;
if (colour == null)
{
ColourCodeValue = "";
ColourCodeDesc = "";
}
else
{
ColourCodeValue = colour.LookupValue.ToString();
ColourCodeDesc = colour.description;
}
string SizeCodeValue, SizeCodeDesc;
if (Size == null)
{
SizeCodeValue = "";
SizeCodeDesc = "";
}
else
{
SizeCodeValue = Size.LookupValue.ToString();
SizeCodeDesc = Size.description;
}
string CategoryCodeValue, CategoryCodeDesc;
if (categorycode == null)
{
CategoryCodeValue = "";
CategoryCodeDesc = "";
}
else
{
CategoryCodeValue = categorycode.LookupValue.ToString();
CategoryCodeDesc = categorydesc.description;
}
string subcategorycodevalue, subcategorycodedesc;
if (categorycode == null)
{
subcategorycodevalue = "";
subcategorycodedesc = "";
}
else
{
subcategorycodevalue = subcategorycode.LookupValue.ToString();
subcategorycodedesc = subcategorydesc.description;
}
string brandcodecodevalue, brandcodecodedesc;
if (brandcode == null)
{
brandcodecodevalue = "";
brandcodecodedesc = "";
}
else
{
brandcodecodevalue = brandcode.LookupValue.ToString();
brandcodecodedesc = brandcode.description;
}
retList.Add(new TradeItemsExport()
{
ItemCode = item.ItemCode,
BarCode = item.BarCode,
Description = item.Description,
SupplierCode = item.SupplierCode,
SupplierStockCode = item.SupplierStockCode,
Product_Group_Code = "",
Product_Group_Desc = "",
SportCode = SportCodeValue,
SportDesc = SportDescValue,
GenderCode = GenderCodeValue,
GenderDesc = GenderCodeDesc,
ColourCode = ColourCodeValue,
ColourDesc = ColourCodeDesc,
SizeCode = SizeCodeValue,
SizeDesc = SizeCodeDesc,
CategoryCode = CategoryCodeValue,
CategoryDesc = CategoryCodeDesc,
subcategorycode = subcategorycodevalue,
subcategorydesc = subcategorycodedesc,
BrandsCode = brandcodecodevalue,
BrandsDesc = brandcodecodedesc,
Vat = item.Vat,
GrossWeight = item.Weight,
CommodityCode = item.CommodityCode,
price_exVAT = item.price_exVAT,
price_incVAT = item.price_incVAT,
currentprice_exVAT = item.currentprice_exVAT,
currentprice_incVAT = item.currentprice_incVAT,
creation_date = item.creation_date,
Inactive_date = item.Inactive_date,
status = 1
});
Console.Write(String.Format("Exporting stock item {0} with a current record of {1} of {2} \n", item.ItemCode.ToString(), count.ToString(), tradeItem.Count.ToString()));
EFStockItemExported _newStockitemImported = new EFStockItemExported();
_newStockitemImported.StockItemID = item.ItemCode;
_newStockitemImported.IsProcessed = true;
_newStockitemImported.DateImported = DateTime.Now;
db.EFStockItemExporteds.Add(_newStockitemImported);
db.SaveChanges();
}
else
{
Console.Write(string.Format("Stock Items to Process [{0}] check the table and remove entry if wish to re process.", 0));
}
}
}
}
}
catch (Exception ex)
{
}
return retList;
}
我的问题是，计算结果大约需要30分钟，这很慢。
这是我正在执行的sql，它是我正在传递的贸易项的视图。
SELECT
dbo.PLSupplierAccount.SupplierAccountNumber, dbo.PLSupplierAccount.PLSupplierAccountID, dbo.PLSupplierAccount.SupplierAccountName,
dbo.PLSupplierAccount.SYSCurrencyID, dbo.PLSupplierAccount.MainTelephoneAreaCode, dbo.PLSupplierAccount.MainTelephoneCountryCode,
dbo.PLSupplierAccount.MainTelephoneSubscriberNumber, dbo.PLSupplierAccount.MainFaxCountryCode, dbo.PLSupplierAccount.MainFaxSubscriberNumber,
dbo.PLSupplierAccount.MainFaxAreaCode, dbo.PLSupplierContact.ContactName, dbo.PLSupplierContact.Description, dbo.PLSupplierContact.FirstName,
dbo.PLSupplierContact.MiddleName, dbo.PLSupplierContact.LastName, loc.AddressLine1, loc.AddressLine2, loc.AddressLine3, loc.AddressLine4, loc.PostCode,
loc.City, loc.County,
CAST(CASE WHEN loc.Country = 'Ireland' THEN 'IRL'
WHEN loc.Country = 'Great Britain'
THEN 'GBR'
ELSE 'ERR'
END AS nvarchar(3)) AS Country,
dbo.SYSCurrency.SYSCurrencyISOCodeID, dbo.SYSCurrency.SYSExchangeRateTypeID, dbo.SYSCurrency.Name AS CurrencyDescription,
dbo.SYSCurrency.Symbol AS CurrencySymbol
FROM
dbo.PLSupplierAccount
INNER JOIN
dbo.PLSupplierContact ON dbo.PLSupplierAccount.PLSupplierAccountID = dbo.PLSupplierContact.PLSupplierAccountID
INNER JOIN
dbo.PLSupplierLocation AS loc ON dbo.PLSupplierAccount.PLSupplierAccountID = loc.PLSupplierAccountID
AND dbo.PLSupplierContact.PLSupplierLocationID = loc.PLSupplierLocationID
INNER JOIN
dbo.SYSCurrency ON dbo.PLSupplierAccount.SYSCurrencyID = dbo.SYSCurrency.SYSCurrencyID
我的问题是如何更改上面的内容以包括一个子查询，该子查询的功能与上面的功能相同。
查找代码查询，下面又是另一个视图。
SELECT
dbo.StockItem.ItemID, dbo.StockItem.Code, dbo.StockItem.Name, dbo.StockItemSearchCatVal.SearchValueID, dbo.SearchValue.Name AS Expr1,
dbo.SearchCategory.Name AS Expr2
FROM
dbo.SearchCategory
INNER JOIN
dbo.SearchValue ON dbo.SearchCategory.SearchCategoryID = dbo.SearchValue.SearchCategoryID
INNER JOIN
dbo.StockItemSearchCatVal ON dbo.SearchCategory.SearchCategoryID = dbo.StockItemSearchCatVal.SearchCategoryID
AND dbo.SearchValue.SearchValueID = dbo.StockItemSearchCatVal.SearchValueID
INNER JOIN
dbo.StockItem ON dbo.StockItemSearchCatVal.ItemID = dbo.StockItem.ItemID
我只是觉得将其转换为子查询会得到更多好处，因此我将结果返回到.net，我正在使用filehelpers库将MapTradeItems的结果集输出到csv，因此可以做更多的事情在服务器上更好。
Obv，我需要某种临时表来遍历结果，但是对于每个循环，与.net相比，sql server中的速度要快得多。
这是我必须复制到csv的poco类。
[DelimitedRecord(",")]
public class TradeItemsExport
{
[FieldOrder(1)]
public string ItemCode { get; set; }
[FieldOrder(2)]
public string BarCode { get; set; }
[FieldOrder(3)]
public string Description { get; set; }
[FieldOrder(4)]
public string SupplierCode { get; set; }
[FieldOrder(5)]
public string SupplierStockCode { get; set; }
[FieldOrder(6)]
public string Product_Group_Code { get; set; }
[FieldOrder(7)]
public string Product_Group_Desc { get; set; }
[FieldOrder(8)]
public string SportCode { get; set; }
[FieldOrder(9)]
public string SportDesc { get; set; }
[FieldOrder(10)]
public string GenderCode { get; set; }
[FieldOrder(11)]
public string GenderDesc { get; set; }
[FieldOrder(12)]
public string ColourCode { get; set; }
[FieldOrder(13)]
public string ColourDesc { get; set; }
[FieldOrder(14)]
public string SizeCode { get; set; }
[FieldOrder(15)]
public string SizeDesc { get; set; }
[FieldOrder(16)]
public string CategoryCode { get; set; }
[FieldOrder(17)]
public string CategoryDesc { get; set; }
[FieldOrder(18)]
public string subcategorycode { get; set; }
[FieldOrder(19)]
public string subcategorydesc { get; set; }
[FieldOrder(20)]
public string BrandsCode { get; set; }
[FieldOrder(21)]
public string BrandsDesc { get; set; }
[FieldOrder(22)]
public Nullable<short> Vat { get; set; }
[FieldOrder(23)]
public decimal GrossWeight { get; set; }
[FieldOrder(24)]
public string CommodityCode { get; set; }
[FieldOrder(25)]
public decimal price_exVAT { get; set; }
[FieldOrder(26)]
public Nullable<decimal> price_incVAT { get; set; }
[FieldOrder(27)]
public Nullable<decimal> currentprice_exVAT { get; set; }
[FieldOrder(28)]
public Nullable<decimal> currentprice_incVAT { get; set; }
[FieldOrder(29)]
public System.DateTime creation_date { get; set; }
[FieldOrder(30)]
public Nullable<System.DateTime> Inactive_date { get; set; }
[FieldOrder(31)]
public int status { get; set; }
}