Here's the Query
SELECT
MAX (Supplier.SupplierName) as Supplier,
MAX (Department.Name) as Department,
MAX (Category.Name) as Category,
MAX (ItemClass.ItemLookupCode) as Matrix,
MAX (Item.ItemLookupCode) as ItemLookupCode,
MAX (Item.Description) as Description,
SUM (TransactionEntry.Quantity) as QtySold,
MAX (Item.Cost) as Cost,
MAX (Item.Price) as Price,
MAX (TransactionEntry.Price) as SoldPrice,
SUM (TransactionEntry.Price * TransactionEntry.Quantity) as TotalSale,
MAX (Item.Quantity) as OnHand
FROM TransactionEntry
INNER JOIN [Transaction] WITH(NOLOCK)
ON TransactionEntry.TransactionNumber = [Transaction].TransactionNumber AND TransactionENtry.ItemType <> 9 AND TransactionEntry.StoreID = [Transaction].StoreID
INNER JOIN Batch WITH(NOLOCK)
ON [Transaction].BatchNumber = Batch.BatchNumber AND [Transaction].StoreID = Batch.StoreID
LEFT JOIN Item WITH(NOLOCK)
ON TransactionEntry.ItemID = Item.ID
LEFT JOIN Department WITH(NOLOCK)
ON Item.DepartmentID = Department.ID
LEFT JOIN Category WITH(NOLOCK)
ON Item.CategoryID = Category.ID
LEFT JOIN Supplier WITH(NOLOCK)
ON Item.SupplierID = Supplier.ID
LEFT JOIN ReasonCode AS ReasonCodeDiscount WITH(NOLOCK)
ON TransactionEntry.DiscountReasonCodeID = ReasonCodeDiscount.ID
LEFT JOIN ReasonCode AS ReasonCodeTaxChange WITH(NOLOCK)
ON TransactionEntry.TaxChangeReasonCodeID = ReasonCodeTaxChange.ID
LEFT JOIN ReasonCode AS ReasonCodeReturn WITH(NOLOCK)
ON TransactionEntry.ReturnReasonCodeID = ReasonCodeReturn.ID
LEFT JOIN Store ON [Transaction].StoreID = Store.ID
LEFT JOIN ItemClassComponent WITH(NOLOCK)
ON Item.ID = ItemClassComponent.ItemID
LEFT JOIN ItemClass WITH(NOLOCK)
ON ItemClassComponent.ItemClassID = ItemClass.ID
WHERE DATEDIFF(week, [Transaction].Time, GETDATE()) = 1 AND
Supplier.SupplierName = 'Name'
GROUP BY Item.ItemLookupCode
Here's the query and how do I add summary row for total numbers for some of the column? I tried several things but could not find anything...
Please help!!!!
http://i29.photobucket.com/albums/c259/xkrntamax/Capture_zps511d8kun.jpg
You are probably looking for grouping sets or with rollup:
Change the group by clause to:
GROUP BY GROUPING SETS ((Item.ItemLookupCode), ())
Related
I'm trying to get a report for figures from multiple transaction tables. Each table has a foreign key that is a lookup for the day it was taken on, and what location it was taken at called Site_Lookup_Id. It's giving me figures that are much larger than they should be.
#Site_Lookup_Ids dbo.Id_List READONLY
SELECT SL.Site_Lookup_Id, D.[Start],SUM(I.Amount) AS Income,
SUM(P.Amount) AS Payouts,SUM(DP.Amount) AS Deposit
FROM CashUp_Site_Lookup SL
INNER JOIN #Site_Lookup_Ids IDs ON Ids.Id = SL.Site_Lookup_Id
INNER JOIN CashUp_Day D ON SL.Day_Id = D.Day_Id
LEFT JOIN CashUp_Deposit DP ON DP.Redeemed_Site_Lookup_Id = SL.Site_Lookup_Id
AND DP.No_Show != 1
LEFT JOIN CashUp_Income I ON I.Site_Lookup_Id = SL.Site_Lookup_Id
LEFT JOIN CashUp_Payout P ON P.Site_Lookup_Id = SL.Site_Lookup_Id
GROUP BY SL.Site_Lookup_Id, D.[Start]
Not all sums will have a value as some days no transactions for a given table will be taken on the day - In this the value should be zero.
The issue is that running this gives me crazy high values - £7500 for income against one day, when if I do a simple check it's £40 for that day like so.
SELECT SUM(Amount) FROM Cashup_Income WHERE Site_Lookup_Id IN (values...)
Maybe something like...
It really depends on the relationships and when you want the values to be summed.
SELECT SL.Site_Lookup_Id
, D.[Start]
, SUM(I.Amount) over (partition by Key of I table) AS Income
, SUM(P.Amount) over (partition by Key of P table) AS Payouts
, SUM(DP.Amount) over (partition by Key of DP Table) AS Deposit
FROM CashUp_Site_Lookup SL
INNER JOIN #Site_Lookup_Ids IDs ON Ids.Id = SL.Site_Lookup_Id
INNER JOIN CashUp_Day D ON SL.Day_Id = D.Day_Id
LEFT JOIN CashUp_Deposit DP ON DP.Redeemed_Site_Lookup_Id = SL.Site_Lookup_Id
AND DP.No_Show != 1
LEFT JOIN CashUp_Income I ON I.Site_Lookup_Id = SL.Site_Lookup_Id
LEFT JOIN CashUp_Payout P ON P.Site_Lookup_Id = SL.Site_Lookup_Id
GROUP BY SL.Site_Lookup_Id, D.[Start]
The problem stems from the fact that your tables are 1:M Causing values to repeat. These repeated values are then getting added to your sum. The joins cause this issue. So I think you can sum using a partition to eliminate the duplicates or:
Use derived tables or a CTE and sum the values BEFORE you join.
Using CTE's (Common Table Expressions)
WITH DP AS (SELECT sum(Amount) As Deposit
, Redeemed_Site_Lookup_ID
FROM CashUp_Deposit
WHERE No_Show !=1
GROUP BY Redeemed_Site_Lookup_ID),
I AS (SELECT sum(Amount) as Income
, Site_Lookup_Id
FROM CashUp_Income
GROUP BY Site_Lookup_Id),
P AS (SELECT sum(Amount) as Payouts
, Site_Lookup_Id
FROM CashUp_Payout
GROUP BY Site_Lookup_Id)
SELECT SL.Site_Lookup_Id
, D.[Start]
, Income
, Payouts
, Deposit
FROM CashUp_Site_Lookup SL
INNER JOIN #Site_Lookup_Ids IDs
ON Ids.Id = SL.Site_Lookup_Id
INNER JOIN CashUp_Day D
ON SL.Day_Id = D.Day_Id
LEFT JOIN DP
ON DP.Redeemed_Site_Lookup_Id = SL.Site_Lookup_Id
LEFT JOIN I
ON I.Site_Lookup_Id = SL.Site_Lookup_Id
LEFT JOIN P
ON P.Site_Lookup_Id = SL.Site_Lookup_Id
Presumably, you are generating a Cartesian product with your joins. Because you have no filtering, do the aggregation before the joins:
LEFT JOIN
(SELECT DP.Redeemed_Site_Lookup_Id, SUM(DP.Amount) AS Deposit
FROM CashUp_Deposit DP
WHERE DP.No_Show != 1
GROUP BY DP.Redeemed_Site_Lookup_Id
) DP
ON DP.Redeemed_Site_Lookup_Id = SL.Site_Lookup_Id LEFT JOIN
(SELECT I.Site_Lookup_Id, SUM(I.Amount) AS Income
FROM CashUp_Income I
GROUP BY I.Site_Lookup_Id
) I
ON I.Site_Lookup_Id = SL.Site_Lookup_Id LEFT JOIN
(SELECT P.Site_Lookup_Id, SUM(P.Amount) AS Payout
FROM CashUp_Payout P
GROUP BY I.Site_Lookup_Id
) P
ON P.Site_Lookup_Id = SL.Site_Lookup_Id
Then adjust the rest of your query to remove the GROUP BY and SUM()s.
Select
Sales_Detail.Serial_No
,Sales_Detail.Tax_Percentage
,Card_Amount
,Cash_Amount
,ISNULL((Select Count(DISTINCT Tax_Percentage) From Sales_Detail
Left Join Sales_Master ON
Sales_Master.Serial_No=Sales_Detail.Serial_No
Where Sales_Master.Invoice_Date = '14-Feb-2019'
And IsSaved='True'And IsCancelled = 'False'
And Card_Amount >0 Or Sales_Master.Cash_Amount>0
And Sales_Detail.Serial_No=10467),1) As Count_Tax
From Sales_Detail
Inner Join Item_Master On Sales_Detail.Item_ID = Item_Master.Item_ID
Inner Join Item_Brand On Item_Master.Brand_ID = Item_Brand.Brand_ID
Inner Join Sales_Master On Sales_Detail.Serial_No=Sales_Master.Serial_No
left Join Customer C on C.Customer_ID =Sales_Master.Customer_ID
Inner Join Tax On Tax.Tax_Percentage=Sales_Detail.Tax_Percentage
Where Sales_Master.Invoice_Date = '14-Feb-2019' And IsSaved = 'True'
And IsCancelled = 'False'
order by Sales_Detail.SGST_Percentage ,Tax_Percentage
While taking count from above query.
I'm getting count as 2 for all row .Why is it so??
If above select in the query expected the output count as 2 for all rows ,
But actually I want to set count as 1 for serial No 10467 and count as 2 for serial No 10468.
Select
Count(DISTINCT Tax_Percentage)
From Sales_Detail
Left Join Sales_Master ON Sales_Master.Serial_No=Sales_Detail.Serial_No
Where Sales_Master.Invoice_Date = '14-Feb-2019'
And IsSaved='True'And IsCancelled = 'False'
And Card_Amount >0 Or Sales_Master.Cash_Amount>0
And Sales_Detail.Serial_No=10467
enter image description here
In your select you are hardcoding the Searial_No And Sales_Detail.Serial_No=10467 so for each row you will get the same value.
Change your like following.
Select
Sales_Detail.Serial_No
,Sales_Detail.Tax_Percentage
,Card_Amount
,Cash_Amount
,ISNULL((Select Count(DISTINCT Tax_Percentage) From Sales_Detail SD
Left Join Sales_Master ON
Sales_Master.Serial_No=SD.Serial_No
Where Sales_Master.Invoice_Date = '14-Feb-2019'
And IsSaved='True'And IsCancelled = 'False'
And Card_Amount >0 Or Sales_Master.Cash_Amount>0
And SD.Serial_No=Sales_Detail.Serial_No
),1) As Count_Tax
From Sales_Detail
Inner Join Item_Master On Sales_Detail.Item_ID = Item_Master.Item_ID
Inner Join Item_Brand On Item_Master.Brand_ID = Item_Brand.Brand_ID
Inner Join Sales_Master On Sales_Detail.Serial_No=Sales_Master.Serial_No
left Join Customer C on C.Customer_ID =Sales_Master.Customer_ID
Inner Join Tax On Tax.Tax_Percentage=Sales_Detail.Tax_Percentage
Where Sales_Master.Invoice_Date = '14-Feb-2019' And IsSaved = 'True'
And IsCancelled = 'False'
order by Sales_Detail.SGST_Percentage ,Tax_Percentage
Suggestion : As a good practice always use alias names for your table so that it can be easily used at multiple places without confusion.
I'm working on another SQL query, trying to group a collection of records while doing a count and joining tables. See below for goal, current query, and attached scripts for building and populating tables.
Show all customers who have checked more books than DVDs. Display
customer name, total book checkouts and total DVD checkouts. Sort
results by customer first name and last name.
SELECT C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME, COUNT(T.TRANSACTION_ID)
FROM customer C
INNER JOIN library_card LC ON C.CUSTOMER_ID = LC.CUSTOMER_ID
INNER JOIN transaction T ON LC.LIBRARY_CARD_ID = T.LIBRARY_CARD_ID
INNER JOIN physical_item P ON T.PHYSICAL_ITEM_ID = P.PHYSICAL_ITEM_ID
INNER JOIN catalog_item CT ON P.CATALOG_ITEM_ID = CT.CATALOG_ITEM_ID
GROUP BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME
ORDER BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME;
Run first: https://drive.google.com/open?id=1PYAZV4KIfZtxP4eQn35zsczySsxDM7ls
Run second: https://drive.google.com/open?id=1pAzWmJqvD3o3n6YJqVUM6TtxDafKGd3f
EDIT
With some help from Mr. Barbaros I've come up with the below query, which is closer. However, this query isn't returning any results for DVDs, which leads me to believe it's a join issue.
SELECT C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME, COUNT(CT1.TYPE) AS BOOK_COUNT, COUNT(CT2.TYPE) AS DVD_COUNT
FROM customer C
INNER JOIN library_card LC ON C.CUSTOMER_ID = LC.CUSTOMER_ID
INNER JOIN transaction T ON LC.LIBRARY_CARD_ID = T.LIBRARY_CARD_ID
INNER JOIN physical_item P ON T.PHYSICAL_ITEM_ID = P.PHYSICAL_ITEM_ID
INNER JOIN catalog_item CT1 ON P.CATALOG_ITEM_ID = CT1.CATALOG_ITEM_ID AND CT1.TYPE = 'BOOK'
LEFT OUTER JOIN catalog_item CT2 ON P.CATALOG_ITEM_ID = CT2.CATALOG_ITEM_ID AND CT2.TYPE = 'DVD'
GROUP BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME, CT1.TYPE, CT2.TYPE
ORDER BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME;
Use "conditional aggregates" (use a case expression inside the aggregate function)
SELECT
C.CUSTOMER_FIRSTNAME
, C.CUSTOMER_LASTNAME
, COUNT( CASE WHEN CT.TYPE = 'BOOK' THEN T.TRANSACTION_ID END ) books
, COUNT( CASE WHEN CT.TYPE = 'DVD' THEN T.TRANSACTION_ID END ) dvds
FROM customer C
INNER JOIN library_card LC ON C.CUSTOMER_ID = LC.CUSTOMER_ID
INNER JOIN transaction T ON LC.LIBRARY_CARD_ID = T.LIBRARY_CARD_ID
INNER JOIN physical_item P ON T.PHYSICAL_ITEM_ID = P.PHYSICAL_ITEM_ID
INNER JOIN catalog_item CT ON P.CATALOG_ITEM_ID = CT.CATALOG_ITEM_ID
GROUP BY
C.CUSTOMER_FIRSTNAME
, C.CUSTOMER_LASTNAME
HAVING
COUNT( CASE WHEN CT.TYPE = 'BOOK' THEN T.TRANSACTION_ID END )
> COUNT( CASE WHEN CT.TYPE = 'DVD' THEN T.TRANSACTION_ID END )
ORDER BY
C.CUSTOMER_FIRSTNAME
, C.CUSTOMER_LASTNAME
;
You can use catalog_item table twice( think of as seperate tables for books and dvds ), and compare by HAVING clause as :
SELECT C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME,
COUNT(CT1.CATALOG_ITEM_ID) as "Book Checkout",
COUNT(CT2.CATALOG_ITEM_ID) as "DVD Checkout"
FROM customer C
INNER JOIN library_card LC ON C.CUSTOMER_ID = LC.CUSTOMER_ID
INNER JOIN transaction T ON LC.LIBRARY_CARD_ID = T.LIBRARY_CARD_ID
INNER JOIN physical_item P ON T.PHYSICAL_ITEM_ID = P.PHYSICAL_ITEM_ID
LEFT JOIN catalog_item CT1 ON P.CATALOG_ITEM_ID = CT1.CATALOG_ITEM_ID AND CT1.TYPE = 'BOOK'
LEFT JOIN catalog_item CT2 ON P.CATALOG_ITEM_ID = CT2.CATALOG_ITEM_ID AND CT1.TYPE = 'DVD'
GROUP BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME
HAVING COUNT(CT1.CATALOG_ITEM_ID) > COUNT(CT2.CATALOG_ITEM_ID)
ORDER BY C.CUSTOMER_FIRSTNAME, C.CUSTOMER_LASTNAME;
CUSTOMER_FIRSTNAME CUSTOMER_LASTNAME Book Checkout DVD Checkout
------------------ ----------------- ------------- -------------
Deena Pilgrim 3 1
Emile Cross 5 2
Please try to remove ,CT1.TYPE, CT2.TYPE on your group by clause.
I have couple of tables which stores amount and I want to group by and get sum - reason for the mutiple tables are nhibernate descriminators.
I am using Union all and works but query is very big.
I am using following query
SELECT CustomerAccountNumber,
vc.CustomerName,
SUM(PermAmount) AS PermAmount,
SUM(FreetextAmount) AS FreetextAmount,
(SUM(PermAmount) + SUM(FreetextAmount)) AS TotalAmountByCustomer
FROM
(
SELECT pp.CustomerAccountNumber,
pl.Amount AS PermAmount,
0 AS FreetextAmount
FROM dbo.PermanentPlacementTransactionLine pl
INNER JOIN dbo.TransactionLine tl ON pl.TransactionLineId = tl.Id
INNER JOIN dbo.PermanentPlacement pp ON pl.PermanentPlacementId = pp.Id
WHERE tl.CurrentStatus = 1
GROUP BY pp.CustomerAccountNumber,
pl.Amount,
tl.Id
UNION ALL
SELECT ft.CustomerAccountNumber,
0 AS PermAmount,
ft.Amount AS FreetextAmount
FROM dbo.FreeTextTransactionLine fttl
INNER JOIN dbo.TransactionLine tl ON fttl.TransactionLineId = tl.Id
INNER JOIN dbo.[FreeText] ft ON fttl.FreeTextId = ft.Id
WHERE tl.CurrentStatus = 1
GROUP BY ft.CustomerAccountNumber,
ft.Amount,
tl.Id
) WIPSummary
INNER JOIN dbo.vw_Customer vc ON WIPSummary.CustomerAccountNumber = vc.CustomerAccount
GROUP BY CustomerAccountNumber,
vc.CustomerName;
is there any elegant way of displaying amount in separate columns ?
I can use partition by if it was same table and want to display row by row.
Try these query, is easy to understand and probably faster than yours.
I assume that the values are unique in your view
WITH cte_a
AS (SELECT pp.customeraccountnumber
,Sum(pl.amount) AS PermAmount
,0 AS FreetextAmount
FROM dbo.permanentplacementtransactionline pl
INNER JOIN dbo.transactionline tl
ON pl.transactionlineid = tl.id
INNER JOIN dbo.permanentplacement pp
ON pl.permanentplacementid = pp.id
WHERE tl.currentstatus = 1
GROUP BY pp.customeraccountnumber),
cte_b
AS (SELECT ft.customeraccountnumber
,0 AS PermAmount
,Sum(ft.amount) AS FreetextAmount
FROM dbo.freetexttransactionline fttl
INNER JOIN dbo.transactionline tl
ON fttl.transactionlineid = tl.id
INNER JOIN dbo.[freetext] ft
ON fttl.freetextid = ft.id
WHERE tl.currentstatus = 1
GROUP BY ft.customeraccountnumber)
SELECT vc.customeraccountnumber
,vc.customername
,Isnull(A.permamount, 0) AS PermAmount
,Isnull(B.freetextamount, 0) AS FreetextAmount
,Isnull(A.permamount, 0)
+ Isnull(B.freetextamount, 0) AS TotalAmountByCustomer
FROM dbo.vw_customer vc
LEFT JOIN cte_a a
ON vc.customeraccount = A.customeraccountnumber
LEFT JOIN cte_b b
ON vc.customeraccount = A.customeraccountnumber
if no table structures and sample data, that is the best I can do to help you.
The following query returns 550 records, which I am then grouping by some columns in the controller via linq. However, how can I achieve the "group by" logic in the SQL query itself? Additionally, post-grouping, I need to show only 150 results to the user.
Current SQL query:
SELECT DISTINCT
l.Id AS LoadId
, l.LoadTrackingNumber AS LoadDisplayId
, planningType.Text AS PlanningType
, loadStatus.Id AS StatusId
, loadWorkRequest.Id AS LoadRequestId
, loadStatus.Text AS Status
, routeIds.RouteIdentifier AS RouteName
, planRequest.Id AS PlanId
, originPartyRole.Id AS OriginId
, originParty.Id AS OriginPartyId
, originParty.LegalName AS Origin
, destinationPartyRole.Id AS DestinationId
, destinationParty.Id AS DestinationPartyId
, destinationParty.LegalName AS Destination
, COALESCE(firstSegmentLocation.Window_Start, originLocation.Window_Start) AS StartDate
, COALESCE(firstSegmentLocation.Window_Start, originLocation.Window_Start) AS BeginDate
, destLocation.Window_Finish AS EndDate
AS Number
FROM Domain.Loads (NOLOCK) AS l
INNER JOIN dbo.Lists (NOLOCK) AS loadStatus ON l.LoadStatusId = loadStatus.Id
INNER JOIN Domain.Routes (NOLOCK) AS routeIds ON routeIds.Id = l.RouteId
INNER JOIN Domain.BaseRequests (NOLOCK) AS loadWorkRequest ON loadWorkRequest.LoadId = l.Id
INNER JOIN Domain.BaseRequests (NOLOCK) AS planRequest ON planRequest.Id = loadWorkRequest.ParentWorkRequestId
INNER JOIN Domain.Schedules AS planSchedule ON planSchedule.Id = planRequest.ScheduleId
INNER JOIN Domain.Segments (NOLOCK) os on os.RouteId = routeIds.Id AND os.[Order] = 0
INNER JOIN Domain.LocationDetails (NOLOCK) AS originLocation ON originLocation.Id = os.DestinationId
INNER JOIN dbo.EntityRoles (NOLOCK) AS originPartyRole ON originPartyRole.Id = originLocation.DockRoleId
INNER JOIN dbo.Entities (NOLOCK) AS originParty ON originParty.Id = originPartyRole.PartyId
INNER JOIN Domain.LocationDetails (NOLOCK) AS destLocation ON destLocation.Id = routeIds.DestinationFacilityLocationId
INNER JOIN dbo.EntityRoles (NOLOCK) AS destinationPartyRole ON destinationPartyRole.Id = destLocation.DockRoleId
INNER JOIN dbo.Entities (NOLOCK) AS destinationParty ON destinationParty.Id = destinationPartyRole.PartyId
INNER JOIN dbo.TransportationModes (NOLOCK) lictm on lictm.Id = l.LoadInstanceCarrierModeId
INNER JOIN dbo.EntityRoles (NOLOCK) AS carrierPartyRole ON lictm.CarrierId = carrierPartyRole.Id
INNER JOIN dbo.Entities (NOLOCK) AS carrier ON carrierPartyRole.PartyId = carrier.Id
INNER JOIN dbo.EntityRoles (NOLOCK) AS respPartyRole ON l.ResponsiblePartyId = respPartyRole.Id
INNER JOIN dbo.Entities (NOLOCK) AS respParty ON respPartyRole.PartyId = respParty.Id
INNER JOIN Domain.LoadOrders (NOLOCK) lo ON lo.LoadInstanceId = l.Id
INNER JOIN Domain.Orders (NOLOCK) AS o ON lo.OrderInstanceId = o.Id
INNER JOIN Domain.BaseRequests (NOLOCK) AS loadRequest ON loadRequest.LoadId = l.Id
--Load Start Date
LEFT JOIN Domain.Segments (NOLOCK) AS segment ON segment.RouteId = l.RouteId AND segment.[Order] = 0
LEFT JOIN Domain.LocationDetails (NOLOCK) AS firstSegmentLocation ON firstSegmentLocation.Id = segment.DestinationId
LEFT JOIN dbo.Lists (NOLOCK) AS planningType ON l.PlanningTypeId = planningType.Id
LEFT JOIN dbo.EntityRoles (NOLOCK) AS billToRole ON o.BillToId = billToRole.Id
LEFT JOIN dbo.Entities (NOLOCK) AS billTo ON billToRole.PartyId = billTo.Id
WHERE o.CustomerId in (34236) AND originLocation.Window_Start >= '07/19/2015 00:00:00' AND originLocation.Window_Start < '07/25/2015 23:59:59' AND l.IsHistoricalLoad = 0
AND loadStatus.Id in (285, 286,289,611,290)
AND loadWorkRequest.ParentWorkRequestId IS NOT NULL
AND routeIds.RouteIdentifier IS NOT NULL
AND (planSchedule.EndDate IS NULL OR (planSchedule.EndDate is not null and CAST(CONVERT(varchar(10), planSchedule.EndDate,101) as datetime) > CAST(CONVERT(varchar(10),GETDATE(),101) as datetime))) ORDER BY l.Id DESC
linq:
//Get custom grouped data
var loadRequest = (from lq in returnList
let loadDisplayId = lq.LoadDisplayId
let origin = lq.OriginId //get this origin for route
let destination = lq.DestinationId // get this destination for route
group lq by new
{
RouteId = lq.RouteName,
PlanId = lq.PlanId,
Origin = lq.OriginId,
Destination = lq.DestinationId
}
into grp
select new
{
RouteId = grp.Key.RouteId,
PlanId = grp.Key.PlanId,
Origin = grp.Key.Origin,
Destination = grp.Key.Destination,
Loads = (from l in grp select l)
}).OrderBy(x => x.Origin).ToList();
I'm guessing you want to Group By column 1 but include columns 2 and 3 in your Select. Using a Group By you cannot do this. However, you can do this using a T-SQL Windowing function using the OVER() operator. Since you don't say how you want to aggregate, I cannot provide an example. But look at T-SQL Windowing functions. This article might help you get started.
One important thing you need to understand about GROUP BY is that you must assume that there are multiple values in every column outside of the GROUP BY list. In your case, you must assume that for each value of Column1 there would be multiple values of Column2 and Column3, all considered as a single group.
If you want your query to process any of these columns, you must specify what to do about these multiple values.
Here are some choices you have:
Pick the smallest or the largest value for a column in a group - use MIN(...) or MAX(...) aggregator for that
Count non-NULL items in a group - use COUNT(...)
Produce an average of non-NULL values in a group - use AVG(...)
For example, if you would like to find the smallest Column2 and an average of Column3 for each value of Column1, your query would look like this:
select
Column1, MIN(Column2), AVG(Column3)
from
TableName
group by
Column1