In SQL Server 2005, I have an order details table with an order id and a product id. I want to write a sql statement that finds all orders that have all the items within a particular order. So, if order 5 has items 1, 2, and 3, I would want all other orders that also have 1, 2, and 3. Also, if order 5 had 2 twice and 3 once, I'd want all other orders with two 2s and a 3.
My preference is that it return orders that match exactly, but orders that are a superset are acceptable if that's much easier / performs much better.
I tried a self-join like the following, but that found orders with any of the items rather than all of the items.
SELECT * FROM Order O1
JOIN Order O2 ON (O1.ProductId = O2.ProductId)
WHERE O2.OrderId = 5
This also gave me duplicates if order 5 contained the same item twice.
If the OrderDetails table contains a unique constraint on OrderId and ProductId, then you can do something like this:
Select ...
From Orders As O
Where Exists (
Select 1
From OrderDetails As OD1
Where OD1.ProductId In(1,2,3)
And OD1.OrderId = O.Id
Group By OD1.OrderId
Having Count(*) = 3
)
If it is possible to have the same ProductId on the same Order multiple times, then you could change the Having clause to Count(Distinct ProductId) = 3
Now, given the above, if you want the situation where each order has the same signature with duplicate product entries, that is trickier. To do that you would need the signature of order in question over the products in question and then query for that signature:
With OrderSignatures As
(
Select O1.Id
, (
Select '|' + Cast(OD1.ProductId As varchar(10))
From OrderDetails As OD1
Where OD1.OrderId = O1.Id
Order By OD1.ProductId
For Xml Path('')
) As Signature
From Orders As O1
)
Select ...
From OrderSignatures As O
Join OrderSignatures As O2
On O2.Signature = O.Signature
And O2.Id <> O.Id
Where O.Id = 5
This sort of thing is very difficult to do in SQL, as SQL is designed to generate its result set by, at the most basic level, comparing a set of column values on a single row each to another value. What you're trying to do is compare a single column value (or set of column values) on multiple rows to another set of multiple rows.
In order to do this, you'll have to create some kind of order signature. Strictly speaking, this isn't possible to do using query syntax alone; you'll have to use some T-SQL.
declare #Orders table
(
idx int identity(1, 1),
OrderID int,
Signature varchar(MAX)
)
declare #Items table
(
idx int identity(1, 1),
ItemID int,
Quantity int
)
insert into #Orders (OrderID) select OrderID from [Order]
declare #i int
declare #cnt int
declare #j int
declare #cnt2 int
select #i = 0, #cnt = max(idx) from #Orders
while #i < #cnt
begin
select #i = #i + 1
declare #temp varchar(MAX)
delete #Items
insert into #Items (ItemID, Quantity)
select
ItemID,
Count(ItemID)
from OrderItem oi
join #Orders o on o.idx = #i and o.OrderID = oi.OrderID
group by oi.ItemID
order by oi.ItemID
select #j = min(idx) - 1, #cnt2 = max(idx) from #Items
while #j < #cnt2
begin
select #j = #j + 1
select #temp = isnull(#temp + ', ','') +
'(' +
convert(varchar,i.ItemID) +
',' +
convert(varchar, i.Quantity) +
')'
from #Items i where idx = #j
end
update #Orders set Signature = #temp where idx = #i
select #temp = null
end
select
o_other.OrderID
from #Orders o
join #Orders o_other on
o_other.Signature = o.Signature
and o_other.OrderID <> o.OrderID
where o.OrderID = #OrderID
This assumes (based on the wording of your question) that ordering multiple of the same item in an order will result in multiple rows, rather than using a Quantity column. If the latter is the case, just remove the group by from the #Items population query and replace Count(ItemID) with Quantity.
I think this should work. I'm using 108 as an example OrderID, so you'll have to replace that twice below or use a variable.
WITH TempProducts(ProductID) AS
(
SELECT DISTINCT ProductID FROM CompMarket
WHERE OrderID = 108
)
SELECT OrderID FROM CompMarket
WHERE ProductID IN (SELECT ProductID FROM TempProducts)
AND OrderID != 108
GROUP BY OrderID
HAVING COUNT(DISTINCT ProductID) >= (SELECT COUNT(ProductID) FROM TempProducts)
This uses a CTE to get a list of an Order's Products, then selects all order IDs that have products that are all in this list. To make sure that the Orders returned have all the products, this compares the Count of the CTE to the Counts of the returned Order's Products.
Related
I have a table named Blacklist and table named Order.
Both have CustomerId column.
Stored Procedure ExecOrder manipulates Order table.
My goal is to exclude Orders that have Blacklisted CustomerId (meaning : Order's CustomerId is in Blacklist table).
I edited ExecOrder SP like this:
DECLARE #Temp TABLE
(
CustomerId UNIQUEIDENTIFIER
);
INSERT INTO #Temp
SELECT RightSide
FROM Blacklist
WHERE LeftSide = #CustomerId;
BEGIN
DECLARE db_cursor CURSOR
FOR SELECT OrderId
FROM dbo.[Order] ord
LEFT OUTER JOIN #Temp t ON t.CustomerId <> ord.CustomerId AND ord.CustomerId <> #CustomerId
WHERE AssetId = #BaseAsset
AND CurrencyId = #QuoteAsset
AND OrderTypeId <> #OrderType
AND [QuotePrice] <= #QuotePrice
AND OrderStatusId = 10
AND Amount > ISNULL(AmountFilled, 0)
AND OrderId < #OrderId
AND OrderBookId = #OrderBookId
AND DeliveryStart = #DeliveryPeriodStart
AND DeliveryEnd = #DeliveryPeriodEnd
AND #MinAmount <= Amount - ISNULL(AmountFilled, 0)
ORDER BY OrderDate;
END;
#Temp table returns correct list of CustomerIds.
Problem is that blacklisted orders are not excluded.
Your #Temp table is holding blacklisted customers.
-- contains blacklisted customer
INSERT INTO #Temp
SELECT RightSide
FROM Blacklist
WHERE LeftSide = #CustomerId;
Now, you need to select orders of customers not existing in #Temp table.
-- You need to select orders, where customerId not exists in #Temp table
SELECT OrderId
FROM dbo.[Order] ord
WHERE NOT EXISTS(SELECT 1 from #Temp WHERE customerId = ord.CustomerId) ...
You should connect with blacklist and take only where connected blacklist not existst:
LEFT OUTER JOIN #Temp t ON t.CustomerId <> ord.CustomerId AND ord.CustomerId <> #CustomerId
Change to:
LEFT OUTER JOIN #Temp t ON t.CustomerId = ord.CustomerId OR ord.CustomerId = #CustomerId
Next you should check if it is empty:
WHERE ... AND t.CustomerId IS NULL
I have a customers table and an orders table. I want to display the customer and all of his/her order dates on one row, rather than multiple rows. Here is what I have and what I'm looking for:
Basic code to get results:
select customerid, name, orderdate
from customer_table c inner join
order_table o
on c.customerid = o.customerid
this will work at the most you cant show it on different columns having nulls:
select customer_id,name,LISTAGG(orderdate, ', ') WITHIN GROUP (ORDER BY orderdate)
from(select customerid, name, orderdate
from customer_table c inner join
order_table o
on c.customerid = o.customerid );
You can use the following because you're bound by the 12 order limit. If you expand to an unknown number of orders with no upper limit, then you would need to use dynamic SQL and even then it would be tricky, because you would also need to dynamically create unique column names.
This query batches by customer and sets the order values. They will be in dated order and set as NULL if there's no more orders. It kinda assumes that at least one customer has 12 orders. You'll get a column of all NULLS if that's not the case
IF OBJECT_ID('tempdb..#Results') IS NOT NULL DROP TABLE #Results
IF OBJECT_ID('tempdb..#sortedRows') IS NOT NULL DROP TABLE #SortedRows
DECLARE #CustomerList TABLE(CustomerID INT, RowNo INT);
INSERT INTO #CustomerList SELECT DISTINCT CustomerID, ROW_NUMBER() OVER(ORDER BY CustomerID) RowNo FROM Customer_Table (NOLOCK)
DECLARE #Count INT = (SELECT COUNT(DISTINCT CustomerID) RowNumber FROM #CustomerList)
DECLARE #Counter INT = 0
DECLARE #CustToProcess INT
CREATE TABLE #Results(CustomerID INT, [Name] VARCHAR(50), OrderDate1 DATETIME,
OrderDate2 DATETIME, OrderDate3 DATETIME, OrderDate4 DATETIME, OrderDate5 DATETIME,
OrderDate6 DATETIME, OrderDate7 DATETIME, OrderDate8 DATETIME, OrderDate9 DATETIME,
OrderDate10 DATETIME, OrderDate11 DATETIME, OrderDate12 DATETIME)
INSERT INTO #Results(CustomerID, Name) SELECT DISTINCT CustomerID, Name FROM Customer_Table
SELECT ROW_NUMBER() OVER(PARTITION BY c.CustomerID ORDER BY OrderDate) RowNo,
c.CustomerID, c.Name, t.OrderDate INTO #SortedRows
FROM Customer_Table c (NOLOCK) JOIN Order_Table t ON c.CustomerID = t.CustomerID
WHILE #Counter < #Count
BEGIN
SET #Counter += 1
SET #CustToProcess = (SELECT CustomerID FROM #CustomerList WHERE RowNo = #Counter)
PRINT #CustToProcess
SELECT * INTO #RowsForProcessing FROM #SortedRows WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate1 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 1) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate2 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 2) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate3 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 3) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate4 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 4) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate5 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 5) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate6 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 6) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate7 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 7) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate8 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 8) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate9 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 9) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate10 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 10) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate11 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 11) WHERE CustomerID = #CustToProcess
UPDATE #Results SET OrderDate12 = (SELECT OrderDate FROM #RowsForProcessing WHERE Rowno = 12) WHERE CustomerID = #CustToProcess
DROP Table #RowsForProcessing
END
SELECT * FROM #Results
Try this if you use MS SQL Server:
-- 1st, get the number of columns
declare #columnnumber int = 1
select #columnnumber = max(a.count)
from (
select c.cid,c.name, count(o.orderdate) as count
from
customer_table c
join order_table o
on c.cid = o.cid
group by c.cid,c.name)a
print #columnnumber
-- Compose the column names for Pivot
declare #columnname varchar(max) = ''
declare #int int = 1
while #int <= #columnnumber
begin
set #columnname = #columnname + '[date' + cast(#int as varchar(10))+ '],'
set #int = #int + 1
end
set #columnname = '('+left(#columnname,len(#columnname)-1)+')'
print #columnname
--Pivot !!! + Dynamic SQL
declare #str varchar(max)
set #str =
'SELECT *
FROM
(SELECT c.cid,c.name, o.orderdate,concat(''date'',row_number() over (partition by c.cid,c.name order by o.orderdate)) rnk
FROM customer_table c
join order_table o
on c.cid = o.cid) AS s
PIVOT
(
min(s.orderdate)
FOR s.rnk IN '+ #columnname+
' ) AS PivotTable'
print #str
execute (#str)
Please change the column name. I used cid as your customerid.
Output:
cid name date1 date2 date3
12 John 2017-03-04 2017-05-26 2017-12-01
4 Nancy 2017-02-01 NULL NULL
Like others said, it's in principle impossible (in pure SQL) to generate this not knowing how many orders you have for a single customer.
I like #nikhil-sugandh's answer, it works great if you are OK with having all orders comma-separated in a single column.
If you insist on having multiple columns, you can build on that answer, by replacing LISTAGG with ARRAY_AGG and postprocessing it. It will be MUCH more efficient than e.g. the proposed solution with multiple joins. You can also use ARRAY_SLICE to handle cases when there are more orders than you are prepared for.
Example (note, I added an extra order to demonstrate handling more-than-expected orders
create or replace table customer_table(customerId int, name varchar)
as select * from values
(12,'John'),(4,'Nancy');
create or replace table order_table(orderId int, customerId int, orderDate date)
as select * from values
(1,12,'3/4/2017'),(2,12,'5/26/2017'),(3,12,'12/1/2017'),(4,4,'2/1/2017'),(5,12,'1/1/2019');
with subq as (
select c.customerid, name,
array_agg(orderdate) within group (order by orderdate) as orders
from customer_table c
inner join order_table o on c.customerid = o.customerid
group by c.customerid, c.name
)
select customerid, name,
orders[0]::date AS order1, orders[1]::date AS order2,
array_to_string(array_slice(orders, 2, 999), ' , ') AS overflow
from subq;
------------+-------+------------+------------+-------------------------+
CUSTOMERID | NAME | ORDER1 | ORDER2 | OVERFLOW |
------------+-------+------------+------------+-------------------------+
4 | Nancy | 2017-02-01 | [NULL] | |
12 | John | 2017-03-04 | 2017-05-26 | 2017-12-01 , 2019-01-01 |
------------+-------+------------+------------+-------------------------+
first create a view like this:
create view order_view as
select
count(*) over (partition by customerId order by orderDate) as ord,
CustomerId,
orderdate
from order_table
then you can use this query:
select c.customerid,
o1.orderdate,
o2.orderdate
o3.orderdate
.
.
.
o12.orderdate
from customer_table c
left join order_view o1
on c.customerid = o1.customerid and ord = 1
left join order_view o2
on c.customerid = o2.customerid and ord = 2
left join order_view o3
on c.customerid = o3.customerid and ord = 3
.
.
.
left join order_view o12
on c.customerid = o12.customerid and ord = 12
I have the below query that takes a TagId list from table variable and returns the list.
But I need to add that CategoryId WHERE condition only if #Tags has the records.
Is it possible to add a WHERE Condition only if my table variable has records otherwise run the same query with 1=1(Always true) and skip the category filter?
DECLARE #TagIdList NVARCHAR(100) = '22,25,47'
DECLARE #Tags TABLE (TagId INT);
WITH CSVtoTable
AS (
SELECT CAST('<XMLRoot><RowData>' + REPLACE(t.val, ',', '</RowData><RowData>') + '</RowData></XMLRoot>' AS XML) AS x
FROM (
SELECT #TagIdList
) AS t(val)
)
INSERT INTO #Tags (TagId)
SELECT m.n.value('.[1]', 'varchar(8000)') AS TagId
FROM CSVtoTable
CROSS APPLY x.nodes('/XMLRoot/RowData') m(n)
SELECT BookingId
,C.CategoryName
FROM Booking B
INNER JOIN Category C ON C.CategoryId = B.CategoryId
WHERE (
b.IsDeleted = 0
OR b.IsDeleted IS NULL
)
-- Add the below where condition only if #Tags has records, else use 1=1
AND C.CategoryId IN (
SELECT DISTINCT CategoryId
FROM CategoryXTag con
WHERE TagId IN (
SELECT TagId
FROM #Tags
)
)
Ultimately you only need to change the end of your query. If performance is an issue you might want to consider using two branches of an if block for each of the two cases even though it's technically possible to squeeze the logic into a single query that doesn't generally optimize as well.
AND
(
C.CategoryId IN (
SELECT CategoryId
FROM CategotryXTag
WHERE TagId IN (
SELECT TagId
FROM #Tags
)
)
OR
(SELECT COUNT(*) FROM #Tags) = 0
)
declare int #tagcount = (select count(*) from #Tags);
SELECT BookingId, C.CategoryName
FROM Booking B
INNER JOIN Category C
ON C.CategoryId = B.CategoryId
AND isnull(b.IsDeleted, 0) = 0
INNER JOIN CategoryXTag con
ON C.CategoryId = con.CategoryId
INNER JOIN #Tags tags
ON tags.TagID = con.TagID
OR #tagcount = 0;
if #tags is empty you might need to put one record in it with a value that would never by used and then or that value
if(#tagcount = 0) insert into #tags values (-100);
or tags.TagID = -100;
You don't need to modify your where clause. Instead, you achieve the same logic by filling #Tags with every TagId from CategoryXTag before running your final query if #Tags is empty after the initial insert:
if ((select count(*) from #Tags) = 0)
insert into #Tags
select distinct TagId
from CategoryXTag;
I'd declare a variable for the #Tags table:
declare #needTagsFilter bit
set #needTagsFilter = case when exists(select 1 from #Tags) then 1 else 0 end
and change the where clause like
AND (
(#needTagsFilter = 0) OR
(C.CategoryId IN (
SELECT DISTINCT CategoryId
FROM CategoryXTag con
WHERE TagId IN (
SELECT TagId
FROM #Tags
)
)
)
COUNT(*) is slower then exists. The downside of adding the count/exists directly to your original query is that SQL server might execute it for all rows.
I have a weird situation and not too sure how to approach it.
I have 2 separate tables:
Table A is submissions
id
submitterQID
nomineeQID
story
Table B is employees
QID
Name
Department
I am trying to get the total number of submissions grouped by department as well as the total number of nominations.
This is what my Stored procedure looks like:
BEGIN
SELECT TOP 50 count(A.[nomineeQID]) AS totalNominations,
count(A.[subQID]) AS totalSubmissions,
B.[DepartmentDesc] AS department
FROM empowermentSubmissions AS A
JOIN empTable AS B
ON B.[qid] = A.[nomineeQID]
WHERE A.[statusID] = 3
AND A.[locationID] = #locale
GROUP BY B.[Department]
ORDER BY totalNominations DESC
FOR XML PATH ('data'), TYPE, ELEMENTS, ROOT ('root');
END
This issue with this is that the JOIN is joining by the nomineeQID only and not the subQID as well.
My end result I am looking for is:
Department Customer Service has 25 submissions and 90 nominations
ORDERED BY the SUM of both counts...
I tried to just JOIN again on the subQID but was told I cant join on the same table twice.
Is there an easier way to accomplish this?
This is a situaton where you'll need to gather your counts independently of each other. Using two left joins will cause some rows to be counted twice in the first left join when the join condition is met for both. Your scenario can be solved using either correlated subqueries or an outer apply gathering the counts on different criteria. I did not present a COUNT(CASE ... ) option here, because you don't have an either-or scenario in the data, you have two foreign keys to the employees table. So, setting up sample data:
declare #empowermentSubmissions table (submissionID int primary key identity(1,1), submissionDate datetime, nomineeQID INT, submitterQID INT, statusID INT, locationID INT)
declare #empTable table (QID int primary key identity(1,1), AreaDesc varchar(10), DepartmentDesc varchar(20))
declare #locale INT = 0
declare #n int = 1
while #n < 50
begin
insert into #empTable (AreaDesc, DepartmentDesc) values ('Area ' + cast((#n % 2)+1 as varchar(1)), 'Department ' + cast((#n % 4)+1 as varchar(1)))
set #n = #n + 1
end
set #n = 1
while #n < 500
begin
insert into #empowermentSubmissions (submissionDate, nomineeQID, submitterQID, StatusID, locationID) values (dateadd(dd,-(cast(rand()*600 as int)),getdate()), (select top 1 QID from #empTable order by newid()), (select top 1 QID from #empTable order by newid()), 3 + (#n % 2) - (#n % 3), (#n % 2) )
set #n = #n + 1
end
And now the OUTER APPLY option:
SELECT TOP 50 E.DepartmentDesc, SUM(N.Nominations) Nominations, SUM(S.TotalSubmissions) TotalSubmissions
FROM #empTable E
OUTER APPLY (
SELECT COUNT(submissionID) Nominations
FROM #empowermentSubmissions A
WHERE A.statusID = 3
AND A.nomineeQID = E.QID
AND A.locationID = #locale
) N
OUTER APPLY (
SELECT COUNT(submissionID) TotalSubmissions
FROM #empowermentSubmissions A
WHERE A.statusID = 3
AND A.submitterQID = E.QID
AND A.locationID = #locale
) S
GROUP BY E.DepartmentDesc
ORDER BY SUM(Nominations) + SUM(TotalSubmissions) DESC
I have the below stored procedure and would like to only have one SQL statement. At the moment you can see there are two statements, one for the actual paging and one for a count of the total records which needs to be return to my app for paging.
However, the below is inefficient as I am getting the total rows from the first query:
COUNT(*) OVER(PARTITION BY 1) as TotalRows
How can I set TotalRows as my output parameter?
ALTER PROCEDURE [dbo].[Nop_LoadAllOptimized]
(
#PageSize int = null,
#PageNumber int = null,
#WarehouseCombinationID int = null,
#CategoryId int = null,
#OrderBy int = null,
#TotalRecords int = null OUTPUT
)
AS
BEGIN
WITH Paging AS (
SELECT rn = (ROW_NUMBER() OVER (
ORDER BY
CASE WHEN #OrderBy = 0 AND #CategoryID IS NOT NULL AND #CategoryID > 0
THEN pcm.DisplayOrder END ASC,
CASE WHEN #OrderBy = 0
THEN p.[Name] END ASC,
CASE WHEN #OrderBy = 5
THEN p.[Name] END ASC,
CASE WHEN #OrderBy = 10
THEN wpv.Price END ASC,
CASE WHEN #OrderBy = 15
THEN wpv.Price END DESC,
CASE WHEN #OrderBy = 20
THEN wpv.Price END DESC,
CASE WHEN #OrderBy = 25
THEN wpv.UnitPrice END ASC
)),COUNT(*) OVER(PARTITION BY 1) as TotalRows, p.*, pcm.DisplayOrder, wpv.Price, wpv.UnitPrice FROM Nop_Product p
INNER JOIN Nop_Product_Category_Mapping pcm ON p.ProductID=pcm.ProductID
INNER JOIN Nop_ProductVariant pv ON p.ProductID = pv.ProductID
INNER JOIN Nop_ProductVariant_Warehouse_Mapping wpv ON pv.ProductVariantID = wpv.ProductVariantID
WHERE pcm.CategoryID = #CategoryId
AND (wpv.Published = 1 AND pv.Published = 1 AND p.Published = 1 AND p.Deleted = 0 AND pv.Deleted = 0 and wpv.Deleted = 0)
AND wpv.WarehouseID IN (select WarehouseID from Nop_WarehouseCombination where UserWarehouseCombinationID = #WarehouseCombinationID)
)
SELECT TOP (#PageSize) * FROM Paging PG
WHERE PG.rn > (#PageNumber * #PageSize) - #PageSize
SELECT #TotalRecords = COUNT(p.ProductId) FROM Nop_Product p
INNER JOIN Nop_Product_Category_Mapping pcm ON p.ProductID=pcm.ProductID
INNER JOIN Nop_ProductVariant pv ON p.ProductID = pv.ProductID
INNER JOIN Nop_ProductVariant_Warehouse_Mapping wpv ON pv.ProductVariantID = wpv.ProductVariantID
WHERE pcm.CategoryID = #CategoryId
AND (wpv.Published = 1 AND pv.Published = 1 AND p.Published = 1 AND p.Deleted = 0 AND pv.Deleted = 0 and wpv.Deleted = 0)
AND wpv.WarehouseID IN (select WarehouseID from Nop_WarehouseCombination where UserWarehouseCombinationID = #WarehouseCombinationID)
END
I think I understand your issue here. Have you considered that the Count could be done BEFORE the CTE
and then passed in as value to the CTE as a variable.
i.e, set the value for #TotalRecords up front, pass it in, and so the CTE will use this count rather than executing the count a second time?
Does this make sense, or have I missed your point here.
no problem friend, highly possible i missed a trick here. However without the schema and data its tricky to test what I am suggesting. In the absence of someone giving a better answer, I've put this test script with data together to demo what I am talking about. If this isn't what you want then no problem. If it is just plain missing the point again, then I'll take that on the chin.
Declare #pagesize as int
Declare #PageNumber as int
Declare #TotalRowsOutputParm as int
SET #pagesize = 3
SET #PageNumber = 2;
--create some test data
DECLARE #SomeData table
(
[ID] [int] IDENTITY(1,1) NOT NULL,
[SomeValue] [nchar](10) NULL
)
INSERT INTO #SomeData VALUES ('TEST1')
INSERT INTO #SomeData VALUES ('TEST2')
INSERT INTO #SomeData VALUES ('TEST3')
INSERT INTO #SomeData VALUES ('TEST4')
INSERT INTO #SomeData VALUES ('TEST5')
INSERT INTO #SomeData VALUES ('TEST6')
INSERT INTO #SomeData VALUES ('TEST7')
INSERT INTO #SomeData VALUES ('TEST8')
INSERT INTO #SomeData VALUES ('TEST9')
INSERT INTO #SomeData VALUES ('TEST10');
--Get total count of all rows
Set #TotalRowsOutputParm = (SELECT COUNT(SomeValue) FROM #SomeData p) ;
WITH Paging AS
(
SELECT rn = (ROW_NUMBER() OVER (ORDER BY SomeValue ASC)),
#TotalRowsOutputParm as TotalRows, p.*
FROM [SomeData] p
)
SELECT TOP (#PageSize) * FROM Paging PG
WHERE PG.rn > (#PageNumber * #PageSize) - #PageSize
PRINT #TotalRowsOutputParm
I don't think you can do it without running the query twice if you want to assign it to a variable
however, can't you just add another column and do something like this instead?
;WITH Paging AS (select *,ROW_NUMBER() OVER(ORDER BY name) AS rn FROM sysobjects)
SELECT (SELECT MAX(rn) FROM Paging) AS TotalRecords,* FROM Paging
WHERE rn < 10
Or in your case
SELECT TOP (#PageSize) *,(SELECT MAX(PG.rn) FROM Paging) AS TotalRecords
FROM Paging PG
WHERE PG.rn > (#PageNumber * #PageSize) - #PageSize
Then from the front end grab that column
In the end I decided just to use two different SQL statements, one for count, one for select.
The "COUNT(*) OVER(PARTITION BY 1) as TotalRows" actually was pretty expensive and it turned out much quicker to just use two different statements.
Thank you everyone who helped with this question.