I have a table with following columns
Period, WIP_Close, WIP_Open, WIP_Add, WIP_Minus.
I need to update
WIP_Open = WIP_Close for previous period
and then
update WIP_Close = WIP_Open + WIP_Add - WIP_Minus.
Currently I am using cursor as follows:
declare y_curs cursor for select distinct period
from abc
order by period
declare #period as int
declare #old_period as int
set #old_period = 0
open y_curs
fetch y_curs into #period
while ##fetch_status = 0
begin
update f set f.wip_open = isnull(f1.wip_close,0)
from abc f join abc f1 on 1=1
where f.period = #period and f1.period=#old_period
update abc set wip_close = (isnull(wip_open,0) + wip_add - wip_minus) where period = #period
set #old_period = #period
fetch y_curs into #period
end
close y_curs
deallocate y_curs
This is working fine and giving correct result, however due to having more than 5 million records, it takes almost an hour to process.
Is there a better way where I can avoid cursor for better performance?
Thanks for any suggestions.
Regards
Sorry i don't have data to test this out. Setup a sample table and give it a try.
But maybe something like this:
WITH abc_Order (n,period,WIP_Close,WIP_Open,WIP_Add,WIP_Minus) AS (
select
ROW_NUMBER() OVER(
ORDER BY
period
) n,
n,period,WIP_Close,WIP_Open,WIP_Add,WIP_Minus
from abc
)
update curr
set
WIP_Open = prev.WIP_Close,
WIP_Close = prev.WIP_Close + curr.WIP_Add - curr.WIP_Minus
from abc_Order curr
inner join abc_Order prev on
curr.n = prev.n+1
Lets make some test data
DECLARE #MyTable TABLE
(
Period int IDENTITY,
WIP_Open int,
WIP_Close int,
WIP_Add int,
WIP_Minus int
)
the first record has the default opening data set.
INSERT INTO #MyTable
( WIP_Open, WIP_ADD, WIP_Minus )
VALUES
( 10, 1, 2 )
Now we have some plus / minus from inventory being added / sold
INSERT INTO #MyTable
( WIP_Add, WIP_Minus )
VALUES
( 2, 1 ),
( 5, 3 ),
( 6, 1 ),
( 1, 7 );
Now lets sum up all of the changes along with the original record to see the running total and get the closing for each record.
WITH T AS
(
SELECT
Period,
WIP_Open,
WIP_Add,
WIP_Minus,
SUM(ISNULL(WIP_Open, 0) + WIP_Add - WIP_Minus) OVER (ORDER BY Period) RunningWipClose
FROM #MyTable
)
SELECT * FROM T
here is the output:
Period WIP_Open WIP_Add WIP_Minus RunningWipClose
1 10 1 2 9
2 NULL 2 1 10
3 NULL 5 3 12
4 NULL 6 1 17
5 NULL 1 7 11
After this, you use lag function to set the null opens with the prev close.
Input -
period WIP_Close WIP_Open WIP_Add WIP_Minus
1 1 1 1 10
2 8 3 7 5
3 6 4 9 15
Output-
period WIP_Close WIP_Open WIP_Add WIP_Minus
1 1 1 1 10
2 3 1 7 5
3 -3 3 9 15
I guess you want to solve above problem.
Here is the solution.Let me know if you are not able to understand this.
SELECT * INTO #T
FROM
(
SELECT 1 period, 1 WIP_Close, 1 WIP_Open, 1 WIP_Add, 10 WIP_Minus UNION ALL
SELECT 2 period, 8 WIP_Close, 3 WIP_Open, 7 WIP_Add, 5 WIP_Minus UNION ALL
SELECT 3 period, 6 WIP_Close, 4 WIP_Open, 9 WIP_Add, 15 WIP_Minus ) TAB
SELECT * FROM #T
DECLARE #TopC INT = (SELECT TOP 1 WIP_Close FROM #T)
DECLARE #TopO INT = (SELECT TOP 1 WIP_Open FROM #T)
DECLARE #TopDIff INT = (SELECT TOP 1 WIP_Add - WIP_Minus FROM #T)
SELECT period,
#TopC + SUM(WIP_Add - WIP_Minus) OVER (ORDER BY period ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) - #TopDIff AS WIP_Close,
COALESCE(#TopC + SUM(WIP_Add - WIP_Minus) OVER (ORDER BY period ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING ) - #TopDIff,#TopO) AS WIP_Open,
WIP_Add,
WIP_Minus
FROM #T
Related
I want to print or display 1 to 10 or any max number in two column format using MS Sql-Server query.
Just like below attached screen shot image.
So please give any suggestion.
Using a couple of inline tallies would be way faster than a WHILE. This version will go up to 1000 integers (500 rows):
DECLARE #Start int = 1,
#End int = 99;
SELECT TOP(CONVERT(int,CEILING(((#End*1.) - #Start + 1)/2)))
(ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) - 1)*2 + #Start AS Number1,
CASE WHEN (ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) - 1)*2 + #Start +1 <= #End THEN (ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) - 1)*2 + #Start +1 END AS Number2
FROM (VALUES(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL))N1(N)
CROSS APPLY (VALUES(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL))N2(N)
CROSS APPLY (VALUES(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL))N3(N);
An alternative way that looks less messy with the CASE and TOP would be to use a couple of CTEs:
WITH Tally AS(
SELECT TOP(#End - #Start + 1)
ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) - 1 + #Start AS I
FROM (VALUES(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL))N1(N)
CROSS APPLY (VALUES(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL))N2(N)
CROSS APPLY (VALUES(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL))N3(N)),
Numbers AS(
SELECT I AS Number1,
LEAD(I) OVER (ORDER BY I) AS Number2
FROM Tally)
SELECT Number1,
Number2
FROM Numbers
WHERE Number1 % 2 = #Start % 2;
I like to use recursive queries for this:
with cte (num1, num2) as (
select 1, 2
union all
select num1 + 2, num2 + 2 from cte where num2 < 10
)
select * from cte order by num1
You control the maximum number with the inequality condition in the recursive member of the cte.
If you need to generate more than 100 rows, you need to add option(maxrecursion 0) at the very end of the query.
Assuming you are starting with a table with one column, you can use:
select min(number), max(number)
from sample_data
group by floor( (number - 1) / 2);
Alternatively, set-based solution using window functions:
use tempdb
;with sample_data as (
select 1 as val union all
select 2 union all
select 3 union all
select 4 union all
select 5 union all
select 6 union all
select 7 union all
select 8 union all
select 9 union all
select 10
)
, sample_data_split as
(
select
val
, 2- row_number() over (order by val) % 2 as columnid
, NTILE((select count(*) / 2 from sample_data) ) over (order by val) groupid
from sample_data
)
the intermediate result of sample_data_split is:
val columnid groupid
1 1 1
2 2 1
3 1 2
4 2 2
5 1 3
6 2 3
7 1 4
8 2 4
9 1 5
10 2 5
and then to get the resultset into a desired format:
select
min(case when columnid = 1 then val end) as column1
, min(case when columnid = 2 then val end) as column2
from sample_data_split
group by groupid
column1 column2
1 2
3 4
5 6
7 8
9 10
Those CTEs can be merged into a single SELECT:
select
min(case when columnid = 1 then val end) as column1
, min(case when columnid = 2 then val end) as column2
from
(
select
val
, 2- row_number() over (order by val) % 2 as columnid
, NTILE((select count(*) / 2 from sample_data) ) over (order by val) groupid
from sample_data
) d
group by groupid
The positive side of a such approach, that it scales well and has no upper boundary on how much rows to be processed
So I got this solution on it as below...
declare #t table
(
id int identity(1,1),
Number_1 int,
Number_2 int
)
declare #min int=1
declare #max int=10
declare #a int=0;
declare #id int=0
while(#min<=#max)
begin
if(#a=0)
begin
insert into #t
select #min,null
set #a=1
end
else if(#a=1)
begin
select top 1 #id=id from #t order by id desc
update #t set Number_2=#min where id=#id
set #a=0
end
set #min=#min+1
end
select Number_1,Number_2 from #t
I have the following data:
ID Days
----------------------- --------
1 5
1 10
1 15
2 5
2 13
2 15
I am trying to build out a range of numbers based on the days while grouping by their ID.
For ID Group 1: The range would start at 5 and end at 9. The next range would be 10-14, and then the final range would be 15-9999
For ID Group 2: The range would start at 5 and end at 12. The next range would be 13-14, and then the final range would be 15-9999
The resulting table would look something like this:
RangeStart RangeEnd RangeText ID
----------- ----------- --------- ----
5 9 5 - 9 1
10 14 10 - 14 1
15 9999 15 - 9999 1
5 12 5 - 12 2
13 14 13 - 14 2
15 9999 15 - 9999 2
I have attempted to use a CTE which works but only when I am not grouping by ID's.
Declare #RangeTable Table
(
ID Int,
RangeStart INT,
RangeEnd INT,
RangeText Varchar(50),
);with CTE as (
SELECT temp.Days,
rn = ROW_NUMBER() over(order by temp.Days asc),
temp.ID
FROM #TableWithDays temp)
INSERT #RangeTable
SELECT
ID= d1.ID,
RangeStart= ISNULL(d1.Days, 0),
RangeEnd = ISNULL(d2.Days- 1, 9999),
RangeText =
CASE WHEN (d1.Days = d2.Days - 1)
THEN CAST(d1.Days AS VARCHAR(100))
ELSE
ISNULL(CAST(d1.Days AS VARCHAR(100)),'0') + ISNULL(' - '+
CAST(d2.Days - 1 AS VARCHAR(100)),' - 9999')END
FROM
CTE d1 LEFT JOIN
CTE d2
ON d1.rn = d2.rn - 1
You can use a recursive CTE. This would be simpler with lead(), but that is not available. So:
with t as (
select t.*, t2.days as next_days
from #TableWithDays t outer apply
(select top (1) t2.*
from #TableWithDays t2
where t2.id = t.id and t2.days > t.days
order by t2.days desc
) t2
),
cte as (
select t.id, t.days, t.next_days
from t
union all
select cte.id, cte.days + 1, cte.next_days
from cte
where cte.days < cte.next_days or
(cte.days < 9999 and cte.next_days is null)
)
select *
from cte
with option (maxrecursion 0);
I have results like this
TimeDiffMin | OrdersCount
10 | 2
12 | 5
09 | 6
20 | 15
27 | 11
I would like the following
TimeDiffMin | OrdersCount
05 | 0
10 | 8
15 | 5
20 | 15
25 | 0
30 | 11
So you can see that i want the grouping of every 5 minutes and show the total order count in those 5 minutes. eg. 0-5 minutes 0 orders, 5-10 minutes 8 orders
any help would be appreciated.
current query:
SELECT TimeDifferenceInMinutes, count(OrderId) NumberOfOrders FROM (
SELECT AO.OrderID, AO.OrderDate, AON.CreatedDate AS CancelledDate, DATEDIFF(minute, AO.OrderDate, AON.CreatedDate) AS TimeDifferenceInMinutes
FROM
(SELECT OrderID, OrderDate FROM AC_Orders) AO
JOIN
(SELECT OrderID, CreatedDate FROM AC_OrderNotes WHERE Comment LIKE '%has been cancelled.') AON
ON AO.OrderID = AON.OrderID
WHERE DATEDIFF(minute, AO.OrderDate, AON.CreatedDate) <= 100 AND AO.OrderDate >= '2016-12-01'
) AS Temp1
GROUP BY TimeDifferenceInMinutes
Now, if you are open to a TVF.
I use this UDF to create dynamic Date/Time Ranges. You supply the range and increment
Declare #YourTable table (TimeDiffMin int,OrdersCount int)
Insert Into #YourTable values
(10, 2),
(12, 5),
(09, 6),
(20,15),
(27,11)
Select TimeDiffMin = cast(R2 as int)
,OrdersCount = isnull(sum(OrdersCount),0)
From (Select R1=RetVal,R2=RetVal+5 From [dbo].[udf-Range-Number](0,25,5)) A
Left Join (
-- Your Complicated Query
Select * From #YourTable
) B on TimeDiffMin >= R1 and TimeDiffMin<R2
Group By R1,R2
Order By 1
Returns
TimeDiffMin OrdersCount
5 0
10 6
15 7
20 0
25 15
30 11
The UDF if interested
CREATE FUNCTION [dbo].[udf-Range-Number] (#R1 money,#R2 money,#Incr money)
Returns Table
Return (
with cte0(M) As (Select cast((#R2-#R1)/#Incr as int)),
cte1(N) As (Select 1 From (Values(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) N(N)),
cte2(N) As (Select Top (Select M from cte0) Row_Number() over (Order By (Select NULL)) From cte1 a,cte1 b,cte1 c,cte1 d,cte1 e,cte1 f,cte1 g,cte1 h )
Select RetSeq=1,RetVal=#R1 Union All Select N+1,(N*#Incr)+#R1
From cte2
)
-- Max 100 million observations
-- Select * from [dbo].[udf-Range-Number](0,4,0.25)
You can do this using a derived table to first build up your time difference windows and then joining from that to sum up all the Orders that fall within that window.
declare #t table(TimeDiffMin int
,OrdersCount int
);
insert into #t values
(10, 2)
,(12, 5)
,(09, 6)
,(20,15)
,(27,11);
declare #Increment int = 5; -- Set your desired time windows here.
with n(n)
as
( -- Select 10 rows to start with:
select n from(values(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) as n(n)
),n2 as
( -- CROSS APPLY these 10 rows to get 10*10=100 rows we can use to generate incrementing ROW_NUMBERs. Use more CROSS APPLYs to get more rows:
select (row_number() over (order by (select 1))-1) * #Increment as StartMin
,(row_number() over (order by (select 1))) * #Increment as EndMin
from n -- 10 rows
cross apply n n2 -- 100 rows
--cross apply n n3 -- 1000 rows
--cross apply n n4 -- 10000 rows
)
select m.EndMin as TimeDiffMin
,isnull(sum(t.OrdersCount),0) as OrdersCount
from n2 as m
left join #t t
on(t.TimeDiffMin >= m.StartMin
and t.TimeDiffMin < m.EndMin
)
where m.EndMin <= 30 -- Filter as required
group by m.EndMin
order by m.EndMin
Query result:
TimeDiffMin OrdersCount
5 0
10 6
15 7
20 0
25 15
30 11
I have a scenario wherein I have
Id|rank| date
1 | 7 |07/08/2015
1 | 7 |09/08/2015
1 | 8 |16/08/2015
1 | 8 |17/08/2015
1 | 7 |19/08/2015
1 | 7 |15/08/2015
2 | 7 |01/08/2015
2 | 7 |02/08/2015
2 | 8 |16/08/2015
2 | 8 |17/08/2015
2 | 7 |26/08/2015
2 | 7 |28/08/2015
My desired solution is
1 | 7 |07/08/2015
1 | 8 |16/08/2015
1 | 7 |15/08/2015
2 | 7 |01/08/2015
2 | 8 |16/08/2015
2 | 7 |26/08/2015
i.e for each block of id and rank I want the minimum of date.
I have tried using while loop as there are thousands of records it is taking 2 hours to load.Is there any other way to do please suggest.
For each row give unique row number using necessary order. (As I get Id is more important than date and date is more important than rank).
Join resulting table to itself using row numbers shifted by one row (d1.RowNum = d2.RowNum+1).
Select only rows that are joined to "other block" rows (d1.Id <> d2.Id or d1.Rank <> d2.rank).
Depending on shifting direction and selected table either maximal or minimal date will be selected.
Don't forget "edge case" - row that due to shifting can't be joined (that's why not inner join and d1.RowNum = 1 condition used).
;WITH dataWithRowNums as (
select Id, Rank, Date,
RowNum = ROW_NUMBER() OVER (ORDER BY Id,date,rank)
from YourTable
)
select d1.Id, d1.Rank, d1.Date
from dataWithRowNums d1
left join dataWithRowNums d2
on d1.RowNum = d2.RowNum+1 and (d1.Id <> d2.Id or d1.Rank <> d2.rank)
where not d2.Id is null or d1.RowNum = 1
This code returns result bit different from yours:
Id Rank Date
1 7 2015-08-07
1 8 2015-08-16
1 7 2015-08-19 <-- you've got here 2015-08-15
2 7 2015-08-01
2 8 2015-08-16
2 7 2015-08-26
As block (Rank 8 Id 1) have started at 16/08 so row 15/08 for rank 7 is related to first block (rank7 Id1).
If you still need your sorting (so 15/08 rank 7 is related to second block (rank7 id1)) then you should provide your own RowSorting data and then ask here about another solution for another task )
Here is the query using row_number()
;WITH cte_rec
as (SELECT Id,Rank,Date
,ROW_NUMBER()OVER (partition by Id,Rank ORDER BY date) as RNO
FROM YourTable)
SELECT Id,Rank,Date
FROM cte_rec
WHERE RNO =1
This is what I have tried and is running as expected
create table #temp
(
iden int identity(1,1),
ID int,
[rank] int,
[date] date,
dr_id int,
rownum_id int,
grouprecord int
)
Insert into #temp(id,rank,date)
select 1 , 7 ,'07/08/2015'
union all select 1 , 7 ,'09/08/2015'
union all select 1 , 8 ,'08/16/2015'
union all select 1 , 8 ,'08/17/2015'
union all select 1 , 7 ,'08/19/2015'
union all select 1 , 7 ,'08/15/2015'
union all select 2 , 7 ,'08/01/2015'
union all select 2 , 7 ,'08/02/2015'
union all select 2 , 8 ,'08/16/2015'
union all select 2 , 8 ,'08/17/2015'
union all select 2 , 7 ,'08/26/2015'
union all select 2 , 7 ,'08/28/2015'
update t1
set dr_id = t2.rn
from #temp t1 inner join
(select iden, dense_rank() over(order by id) as rn from #temp) t2
on t1.iden = t2.iden
update t1
set rownum_id = t2.rn
from #temp t1 inner join
(select iden, row_number() over(partition by dr_id order by id) as rn from #temp) t2
on t1.iden = t2.iden
select *,row_number() over(order by iden)rn into #temp1 from
(
select t2.*
from #temp t1 inner join #temp t2
on (t1.dr_id = t2.dr_id or t2.dr_id = (t1.dr_id +1) ) and ( t1.rank<>t2.rank or t2.dr_id = (t1.dr_id +1) )
and t2.iden = t1.iden + 1
)a
declare #id int,#miniden int,#maxiden int,#maxid int
set #id = 1
select #maxid = max(iden) from #temp
while exists(select 1 from #temp1 where rn = #id)
begin
Select #miniden = iden from #temp1
where rn = #id
Select #maxiden = iden from #temp1
where rn = #id+1
update #temp
set grouprecord = #id +1
where iden between #miniden and #maxiden
IF(#maxiden IS NULL)
BEGIN
Update #temp
set grouprecord = #id +1
where iden between #miniden and #maxid
END
set #id = #id + 1
SET #miniden =NULL
SET #maxiden = NULL
end
UPDATE #TEMP
SET GROUPRECORD = 1
WHERE GROUPRECORD IS NULL
select min(date) as mindate,grouprecord from #temp
group by grouprecord
Thanks everyone the help :)
I Tried as shown below:
CREATE TABLE #TEMP
(
ID INT,
EmpID INT,
AMOUNT INT
)
INSERT INTO #TEMP VALUES(1,1,10)
INSERT INTO #TEMP VALUES(2,1,5)
INSERT INTO #TEMP VALUES(3,2,6)
INSERT INTO #TEMP VALUES(4,3,8)
INSERT INTO #TEMP VALUES(5,3,10)
.
.
.
SELECT * FROM #TEMP
ID EmpID AMOUNT
1 1 10
2 1 5
3 2 6
4 3 8
5 4 10
UPDATE #TEMP
SET AMOUNT = SUM(AMOUNT) - 11
Where EmpID = 1
Expected Output:
Table consists of employeeID's along with amount assigned to Employee I need to subtract amount from amount filed depending on employee usage. Amount "10" should be deducted from ID = 1 and amount "1" should be deducted from ID = 2.
Amount: Credits available for that particular employee depending on date.
So i need to reduce credits from table depending on condition first i need to subtract from old credits. In my condition i need to collect 11 rupees from empID = 1 so first i need to collect 10 rupee from ID=1 and 1 rupee from the next credit i.e ID=2. For this reason in my expected output for ID=1 the value is 0 and final output should be like
ID EmpID AMOUNT
1 1 0
2 1 4
3 2 6
4 3 8
5 4 10
Need help to update records. Check error in my update statement.
Declare #Deduct int = -11,
#CurrentDeduct int = 0 /*this represent the deduct per row */
update #TEMP
set #CurrentDeduct = case when abs(#Deduct) >= AMOUNT then Amount else abs(#Deduct) end
, #Deduct = #Deduct + #CurrentDeduct
,AMOUNT = AMOUNT - #CurrentDeduct
where EmpID= 1
I think you want the following: subtract amounts from 11 while remainder is positive. If this is true, here is a solution with recursive cte:
DECLARE #t TABLE ( id INT, amount INT )
INSERT INTO #t VALUES
( 1, 10 ),
( 2, 5 ),
( 3, 3 ),
( 4, 2 );
WITH cte
AS ( SELECT * , 17 - amount AS remainder
FROM #t
WHERE id = 1
UNION ALL
SELECT t.* , c.remainder - t.amount AS remainder
FROM #t t
CROSS JOIN cte c
WHERE t.id = c.id + 1 AND c.remainder > 0
)
UPDATE t
SET amount = CASE WHEN c.remainder > 0 THEN 0
ELSE -remainder
END
FROM #t t
JOIN cte c ON c.id = t.id
SELECT * FROM #t
Output:
id amount
1 0
2 0
3 1
4 2
Here I use 17 as start remainder.
If you use sql server 2012+ then you can do it like:
WITH cte
AS ( SELECT * ,
17 - SUM(amount) OVER ( ORDER BY id ) AS remainder
FROM #t
)
SELECT id ,
CASE WHEN remainder >= 0 THEN 0
WHEN remainder < 0
AND LAG(remainder) OVER ( ORDER BY id ) >= 0
THEN -remainder
ELSE amount
END
FROM cte
First you should get a cumulative sum on amount:
select
id,
amount,
sum(amount) over (order by id) running_sum
from #TEMP;
From here we should put 0 on rows before running_sum exceeds the value 11. Update the row where the running sum exceeds 11 and do nothing to rows after precedent row.
select
id,
amount
running_sum,
min(case when running_sum > 11 then id end) over () as decide
from (
select
id,
amount,
sum(amount) over (order by id) running_sum
from #TEMP
);
From here we can do the update:
merge into #TEMP t
using (
select
id,
amount
running_sum,
min(case when running_sum > 11 then id end) over () as decide
from (
select
id,
amount,
sum(amount) over (order by id) running_sum
from #TEMP
)
)a on a.id=t.id
when matched then update set
t.amount = case when a.id = a.decide then a.running_sum - 11
when a.id < a.decide then 0
else a.amount
end;
See an SQLDFIDDLE