Input table:
STAGE_NO
STAGE_ENTERED_DATE
0
2015-12-01 14:16:47
1
null
2
null
3
null
4
null
5
null
6
2017-02-12 0:00:00
7
2017-12-12 0:00:00
I want a new column that will give me the next stage_no where "stage_entered_date" is not-null.
This is the result that I am expecting:
STAGE_NO
STAGE_ENTERED_DATE
Next_Stage
0
2015-12-01 14:16:47
6
1
null
6
2
null
6
3
null
6
4
null
6
5
null
6
6
2017-02-12 0:00:00
7
7
2017-12-12 0:00:00
null
Disclaimer: Next_Stage column means next_stage where date is not null.
You can do this using the lead window function, ignoring nulls, and redefining nulls as the null in a different column using the IFF function:
with T1 as
(
select
COLUMN1::int as "STAGE_NO",
COLUMN2::timestamp as "STAGE_ENTERED_DATE"
from (values
('0','2015-12-01 14:16:47'),
('1',null),
('2',null),
('3',null),
('4',null),
('5',null),
('6','2017-02-12 0:00:00'),
('7','2017-12-12 0:00:00')
)
)
select STAGE_NO
,STAGE_ENTERED_DATE
,lead(iff(STAGE_ENTERED_DATE is not null, STAGE_NO, null))
ignore nulls over (partition by null order by STAGE_NO) as NEXT_STAGE
from T1
;
STAGE_NO
STAGE_ENTERED_DATE
NEXT_STAGE
0
2015-12-01 14:16:47.000000000
6
1
null
6
2
null
6
3
null
6
4
null
6
5
null
6
6
2017-02-12 00:00:00.000000000
7
7
2017-12-12 00:00:00.000000000
null
This will perform the stage calculation across the entire table. You probably have something like a customer, company, or some other "thing" that goes through these stages. You can specify what that is using a partition by clause in the window function. It's currently set to null, but you can simply change it to the column that defines the sets of rows for the phases.
Problem statement description :-
I have two tables - table1 and table2 . table1 contains data of quantity buy of id=7 and table2 contain data of quantity sold of same id=7. Both table1 and table2 is sorted according to date i.e from oldest to latest date and every time only 1 quantity is buy or sold.
table1:
table1
date_buy
id
qty_buy
rolling_sum_qty_buy
30-07-2019
7
1
1
20-10-2019
7
1
2
17-01-2020
7
1
3
15-02-2020
7
1
4
15-02-2020
7
1
5
15-02-2020
7
1
6
14-07-2021
7
1
7
19-09-2021
7
1
8
25-12-2021
7
1
9
30-12-2021
7
1
10
10-02-2022
7
1
11
15-03-2022
7
1
12
15-03-2022
7
1
13
14-06-2022
7
1
14
table2:-
table2
date_sold
id
qty_sold
rolling_sum_qty_sold
01-08-2019
7
1
1
15-09-2019
7
1
2
27-12-2019
7
1
3
01-02-2020
7
1
4
12-02-2020
7
1
5
25-07-2021
7
1
6
25-07-2021
7
1
7
28-08-2021
7
1
8
10-09-2021
7
1
9
12-09-2021
7
1
10
25-04-2022
7
1
11
-- SQL scrtpt of table1:
CREATE TABLE IF NOT EXISTS table1 (
`date_buy` DATETIME,
`id` INT,
`qty_buy` INT,
`rolling_sum_qty_buy` INT
);
INSERT INTO table1 VALUES
('2019-07-30 00:00:00',7,1,1),
('2019-10-20 00:00:00',7,1,2),
('2020-01-17 00:00:00',7,1,3),
('2020-02-15 00:00:00',7,1,4),
('2020-02-15 00:00:00',7,1,5),
('2020-02-15 00:00:00',7,1,6),
('2021-07-14 00:00:00',7,1,7),
('2021-09-19 00:00:00',7,1,8),
('2021-12-25 00:00:00',7,1,9),
('2021-12-30 00:00:00',7,1,10),
('2022-02-10 00:00:00',7,1,11),
('2022-03-15 00:00:00',7,1,12),
('2022-03-15 00:00:00',7,1,13),
('2022-06-14 00:00:00',7,1,14);
-- sql script of table2:
CREATE TABLE IF NOT EXISTS table2 (
`date_sold` DATETIME,
`id` INT,
`qty_sold` INT,
`rolling_sum_qty_sold` INT
);
INSERT INTO table2 VALUES
('2019-08-01 00:00:00',7,1,1),
('2019-09-15 00:00:00',7,1,2),
('2019-12-27 00:00:00',7,1,3),
('2020-02-01 00:00:00',7,1,4),
('2020-02-12 00:00:00',7,1,5),
('2021-07-25 00:00:00',7,1,6),
('2021-07-25 00:00:00',7,1,7),
('2021-08-28 00:00:00',7,1,8),
('2021-09-10 00:00:00',7,1,9),
('2021-09-12 00:00:00',7,1,10),
('2022-04-25 00:00:00',7,1,11);
-- Now, i want to join this two table on two condition
for every date i.e date_buy column in table1 i should get output where date i.e date_sold is greater than date_buy and i want first date i.e. date_sold which is greater than that particular date i.e date_buy.
i also want those rows from table1 in my output which does not get joined with table2
so that i can easily find out the remaining quantity because in table1 i have quantity buy and after joining with table2 i will get quantity sold, so the cases where i get null values then in that case i can assume that that much quantity is remaining.
--My output:-
Earlier when there was no date issue then i was simply using left join to join table1 and table2 on rolling sum condition and where there was null cases i was taking sum of qty to get remaining qty but right now i have that condition too so i cant use rolling_sum_cond column directly in join condition.
-- query which i was using and output which i was getting earlier
select * from table1
left join table2
on table1.rolling_sum_qty_buy=table2.rolling_sum_qty_sold
date_buy
id
qty_buy
rolling_sum_qty_buy
date_sold
id-2
qty_sold
rolling_sum_qty_sold
30-07-2019
7
1
1
01-08-2019
7
1
1
20-10-2019
7
1
2
15-09-2019
7
1
2
17-01-2020
7
1
3
27-12-2019
7
1
3
15-02-2020
7
1
4
01-02-2020
7
1
4
15-02-2020
7
1
5
12-02-2020
7
1
5
15-02-2020
7
1
6
25-07-2021
7
1
6
14-07-2021
7
1
7
25-07-2021
7
1
7
19-09-2021
7
1
8
28-08-2021
7
1
8
25-12-2021
7
1
9
10-09-2021
7
1
9
30-12-2021
7
1
10
12-09-2021
7
1
10
10-02-2022
7
1
11
25-04-2022
7
1
11
15-03-2022
7
1
12
NULL
NULL
NULL
NULL
15-03-2022
7
1
13
NULL
NULL
NULL
NULL
14-06-2022
7
1
14
NULL
NULL
NULL
NULL
and to find out remaining quantity , i was using null condition
query:-
with cte as
(
select * from table1
left join table2
on table1.rolling_sum_qty_buy=table2.rolling_sum_qty_sold
)
select sum(qty_buy) as remaining_qty
from cte
where cte.date_sold is null
remaining_qty
3
-- my expectation
now i have to use date condition also to get the output
-- Expected Output
date_buy
id
qty_buy
rolling_sum_qty_buy
date_sold
id
qty_sold
rolling_sum_qty_sold
30-07-2019
7
1
1
01-08-2019
7
1
1
20-10-2019
7
1
2
27-12-2019
7
1
3
17-01-2020
7
1
3
01-02-2020
7
1
4
15-02-2020
7
1
4
25-07-2021
7
1
6
15-02-2020
7
1
5
25-07-2021
7
1
7
15-02-2020
7
1
6
28-08-2021
7
1
8
14-07-2021
7
1
7
10-09-2021
7
1
9
19-09-2021
7
1
8
25-04-2022
7
1
11
25-12-2021
7
1
9
NULL
NULL
NULL
NULL
30-12-2021
7
1
10
NULL
NULL
NULL
NULL
10-02-2022
7
1
11
NULL
NULL
NULL
NULL
15-03-2022
7
1
12
NULL
NULL
NULL
NULL
15-03-2022
7
1
13
NULL
NULL
NULL
NULL
14-06-2022
7
1
14
NULL
NULL
NULL
NULL
-- Please help me to get the following output. Any help would be appreciated.
I am using postgresql.
That was a challenging one.
with recursive cte as
(
select t2.date_sold
,t2.rolling_sum_qty_sold
,true as is_match
,1 as last_rolling_sum_qty_buy
from t2 join t on t2.rolling_sum_qty_sold = t.rolling_sum_qty_buy
where t2.rolling_sum_qty_sold = 1
union all
select t2.date_sold
,t2.rolling_sum_qty_sold
,t2.date_sold >= t.date_buy
,cte.last_rolling_sum_qty_buy + case when t2.date_sold >= t.date_buy then 1 else 0 end
from t2
join cte on cte.rolling_sum_qty_sold + 1 = t2.rolling_sum_qty_sold
join t on t.rolling_sum_qty_buy = cte.last_rolling_sum_qty_buy + 1
)
select t.date_buy
,t.id
,t.qty_buy
,t.rolling_sum_qty_buy
,cte.date_sold
,cte.rolling_sum_qty_sold
from t left join cte on cte.last_rolling_sum_qty_buy = t.rolling_sum_qty_buy and is_match
date_buy
id
qty_buy
rolling_sum_qty_buy
date_sold
rolling_sum_qty_sold
2019-07-30
7
1
1
2019-08-01
1
2019-10-20
7
1
2
2019-12-27
3
2020-01-17
7
1
3
2020-02-01
4
2020-02-15
7
1
4
2021-07-25
6
2020-02-15
7
1
5
2021-07-25
7
2020-02-15
7
1
6
2021-08-28
8
2021-07-14
7
1
7
2021-09-10
9
2021-09-19
7
1
8
2022-04-25
11
2021-12-25
7
1
9
null
null
2021-12-30
7
1
10
null
null
2022-02-10
7
1
11
null
null
2022-03-15
7
1
12
null
null
2022-03-15
7
1
13
null
null
2022-06-14
7
1
14
null
null
Fiddle
I wish to use some sort of SQL array to subtract values from a certain row (QTYOnHand) that decreases that row value every time and throws it into a rolling calculation for the other rows. I've been thinking of some sort of Self Join/Temp Table solution, but not sure how to formulate. Also, All the results will be partitioned by the ItemID below. Help would be appreciated.
Here's some data, If I do a simple row by row subtraction I will get this: 17-3 = 14, 17-5 = 12 and so on.
(Item_ID) (ItemQty) (QTYOnHand) (QtyOnHand - ItemQty)
123 3 17 14
123 5 17 12
123 4 17 13
456 7 12 5
456 8 12 4
456 2 12 10
456 3 12 9
789 2 6 4
789 2 6 4
789 2 6 4
These are the results that I want, where I subtract every next value from the new QTYOnHand-ItemQty column value. Looks like 17-3 then 14 -5 then 9 -4 for Item_ID (123):
(Item_ID) (ItemQty) (QTYOnHand) (QtyOnHand - ItemQty)
123 3 17 14
123 5 17 9
123 4 17 5
456 7 12 5
456 8 12 -3
456 2 12 -5
456 3 12 -8
789 2 6 4
789 2 6 2
789 2 6 0
try the following:
;with cte as
(
select *, ROW_NUMBER() over (partition by Item_ID order by Item_ID) rn
from YourTable
)
, cte2 as
(
select Item_ID, ItemQty, QTYOnHand, Case when rn = 1 then QTYOnHand else 0 end - ItemQty as calc, rn
from cte
)
select Item_ID, ItemQty, QTYOnHand, sum(calc) over (partition by Item_ID order by rn) as [QtyOnHand - ItemQty]
from cte2 t1
Please find the db<>fiddle here.
How To Arrange Table Data in Parent_Id And Child_Id Wise Via Sql-Server Query?
My Query
select CLevel_Id,Category_Name,Parent_Id,Child_Id,Level_Id from Category_Level
order by Parent_Id asc
Current Output
CLevel_Id Category_Name Parent_Id Child_Id Level_Id
12 Jewelry 1 0 1
14 Rings 2 1 2
15 Men-Rings 3 2 3
17 Women-Rings 4 2 3
18 Earrings 5 1 2
20 Women-Earings 6 5 3
1013 Metal-Fashion 7 3 4
1015 Diamond-Fashion 8 4 4
1016 Semi-Set 9 6 4
Expected Output
CLevel_Id Category_Name Parent_Id Child_Id Level_Id
12 Jewelry 1 0 1
14 Rings 2 1 2
15 Men-Rings 3 2 3
1013 Metal-Fashion 7 3 4
17 Women-Rings 4 2 3
1015 Diamond-Fashion 8 4 4
18 Earrings 5 1 2
20 Women-Earings 6 5 3
1016 Semi-Set 9 6 4
please help me
use a Recursive CTE.
Assuming you have max 9 per level. Using single digit as the seq level. If you have more than 9, you will need to use 2 digits like 01, 02 etc
; with
rcte as
(
-- Anchor member, seq = 1
select *, seq = convert(varchar(100), '1')
from Category_Level
where Child_Id = 0
union all
-- recursive member, concatenate to the seq
select c.*, seq = convert(varchar(100),
r.seq
+ convert(varchar(10), row_number() over (partition by r.seq
order by c.Child_Id)))
from Category_Level c
inner join rcte r on c.Child_Id = r.Parent_Id
)
select *
from rcte
order by seq
/* RESULT
CLevel_Id Category_Name Parent_Id Child_Id Level_Id seq
----------- -------------------- ----------- ----------- ----------- -------
12 Jewelry 1 0 1 1
14 Rings 2 1 2 11
15 Men-Rings 3 2 3 111
1013 Metal-Fashion 7 3 4 1111
17 Women-Rings 4 2 3 112
1015 Diamond-Fashion 8 4 4 1121
18 Earrings 5 1 2 12
20 Women-Earings 6 5 3 121
1016 Semi-Set 9 6 4 1211
(9 rows affected)
*/
Closed. This question needs debugging details. It is not currently accepting answers.
Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question.
Closed 8 years ago.
Improve this question
I have a table with three columns named cid, orderdate, and priororderdate among others.
Here is how the table looks:
cid orderdate priororderdate position
12 NULL NULL 1
12 NULL NULL 2
12 NULL NULL 3
12 2014-08-08 23:25 NULL 1
12 2014-08-08 23:25 NULL 2
12 2014-08-08 23:25 NULL 3
12 2014-08-08 23:25 NULL 4
12 2014-09-06 17:19 2014-08-08 23:25 1
12 2014-09-06 17:19 2014-08-08 23:25 2
12 2014-09-06 17:19 2014-08-08 23:25 3
13 NULL NULL 1
13 NULL NULL 2
13 NULL NULL 3
The combination of the columns cid, orderdatetime, and priororderdatetime defines a unique fpid (a new column I want to create). Hence, the final result would be:
cid orderdate priororderdate position fpid
12 NULL NULL 1 1
12 NULL NULL 2 1
12 NULL NULL 3 1
12 2014-08-08 23:25 NULL 1 2
12 2014-08-08 23:25 NULL 2 2
12 2014-08-08 23:25 NULL 3 2
12 2014-08-08 23:25 NULL 4 2
12 2014-09-06 17:19 2014-08-08 23:25 1 3
12 2014-09-06 17:19 2014-08-08 23:25 2 3
12 2014-09-06 17:19 2014-08-08 23:25 3 3
13 NULL NULL 1 4
13 NULL NULL 2 4
13 NULL NULL 3 4
How can I create the fpid column?
You can do this using dense_rank() in a select query:
select t.*,
dense_rank() over (order by cid, orderdate, priororderdate) as fpid
from table t;
If you have the column fpid already in the table and want to update it:
with toupdate as (
select t.*,
dense_rank() over (order by cid, orderdate, priororderdate) as new_fpid
from table t
)
update toupdate
set fpid = new_fpid;
(If you want to add it, you can use an alter table statement.)
It's a little bit confusion that you say that fpid is unique, but looking at your desired output, it looks like you want to use ROW_NUMBER().
UPDATE tab2 t SET fpid =
(SELECT ROW_NUMBER () OVER (ORDER BY cid)
FROM tab2
GROUP BY cid, orderdate, priororderdate
WHERE t.cid = cid
AND t.orderdate = orderdate
AND t.priororderdate = priororderdate)