I have to write a sql script, to identify a duplicate values, once I identify the duplicate, I have to increment the value by one there onwards in subsequent rows.
Here's my data:
Id ParentId Status SortOrder
15436 8918 1 0
10288 8918 1 1
13162 8918 1 2
18447 8918 1 2
19257 8918 1 3
26911 8918 1 4
25578 8918 1 5
I think this is what you want. If not, it would help if you added your desired results in your question. Try this out:
DECLARE #yourTable TABLE(Id INT,ParentId INT, [Status] INT,SortOrder INT);
INSERT INTO #yourTable
VALUES (15436,8918,1,0),
(10288,8918,1,1),
(13162,8918,1,2),
(18447,8918,1,2),
(19257,8918,1,3),
(26911,8918,1,4),
(25578,8918,1,5);
SELECT ID,
ParentID,
[Status],
SortOrder,
[NewSortOrder] = ROW_NUMBER() OVER (PARTITION BY ParentID ORDER BY sortOrder,ID) - 1
FROM #yourTable
Results:
ID ParentID Status SortOrder NewSortOrder
----------- ----------- ----------- ----------- --------------------
15436 8918 1 0 0
10288 8918 1 1 1
13162 8918 1 2 2
18447 8918 1 2 3
19257 8918 1 3 4
26911 8918 1 4 5
25578 8918 1 5 6
Related
I need to expand the indicator (currently on daily basis) to a larger group (groups multiple consecutive days into one grp). I have following type of data:
id date grp new_ind traditional_ind
--------------------------------------------------
1 02-01-2021 1 1 0
1 02-02-2021 1 0 1
1 02-03-2021 1 0 0
1 02-04-2021 1 null null
1 02-06-2021 2 0 1
1 02-07-2021 2 0 0
2 02-01-2021 1 null null
where new_ind and traditional_ind are mutually exclusive. With this, I am trying to create new indicator that expands the indicators that are currently on daily level to grp level, that will look like:
id date grp new_ind traditional_ind final_type
----------------------------------------------------------------
1 02-01-2021 1 1 0 new
1 02-02-2021 1 0 1 new
1 02-03-2021 1 0 0 new
1 02-04-2021 1 null null new
1 02-06-2021 2 0 1 traditional
1 02-07-2021 2 0 0 traditional
2 02-01-2021 1 null null none
basically,
if new_ind was ever 1, I want to flag entire grp as 'new'
if new_ind=0 and if traditional_ind is ever 1, flag entire grp as 'traditional'
if both indicators were null, then flag entire grp as 'none'
so that each id and grp can have single value of final_type.
I've tried:
max(case when new_ind = 1 then 'New'
when traditional_ind = 1 then 'Traditional'
else 'None' end) over (partition by id, grp) as final_type
but this wouldn't recognize when new_ind=1 then 'New' and flag all of new_ind = 1 as 'None' (but show traditional correctly):
id date grp new_ind traditional_ind final_type
----------------------------------------------------------------
1 02-01-2021 1 1 0 none
1 02-02-2021 1 0 1 none
1 02-03-2021 1 0 0 none
1 02-04-2021 1 null null none
1 02-06-2021 2 0 1 traditional
1 02-07-2021 2 0 0 traditional
2 02-01-2021 1 null null none
But if I remove else statement and only run:
max(case when new_ind = 1 then 'New'
when traditional_ind = 1 then 'Traditional'
end) over (partition by id, grp) as final_type
then this does accurately expand indicator as I hope, just returns null values (which I need to show as 'None' instead of nulls):
id date grp new_ind traditional_ind final_type
----------------------------------------------------------------
1 02-01-2021 1 1 0 new
1 02-02-2021 1 0 1 new
1 02-03-2021 1 0 0 new
1 02-04-2021 1 null null new
1 02-06-2021 2 0 1 traditional
1 02-07-2021 2 0 0 traditional
2 02-01-2021 1 null null null
Can anyone help identify issue with my max case when statement?
I think something like this should work:
WITH final_types AS (
SELECT
id,
grp,
( case
when bool_or(new_ind = 1) then 'New'
when bool_or(traditional_ind = 1) then 'Traditional'
else 'None'
end
) AS final_type
FROM your_table
GROUP BY id, grp
)
SELECT
t1.*,
t2.final_type
FROM your_table t1
JOIN final_types t2 ON t1.id = t2.id AND t1.grp = t2.grp
Say I had an example like so, where Im transposing columns into rows with UNPIVOT.
DECLARE #pvt AS TABLE (VendorID int, Emp1 int, Emp2 int, Emp3 int, Emp4 int, Emp5 int);
INSERT INTO #pvt (VendorId,Emp1,Emp2,Emp3,Emp4,Emp5) VALUES (1,4,3,5,4,4);
INSERT INTO #pvt (VendorId,Emp1,Emp2,Emp3,Emp4,Emp5) VALUES (2,4,1,5,5,5);
INSERT INTO #pvt (VendorId,Emp1,Emp2,Emp3,Emp4,Emp5) VALUES (3,4,3,5,4,4);
INSERT INTO #pvt (VendorId,Emp1,Emp2,Emp3,Emp4,Emp5) VALUES (4,4,2,5,5,4);
INSERT INTO #pvt (VendorId,Emp1,Emp2,Emp3,Emp4,Emp5) VALUES (5,5,1,5,5,5);
--Unpivot the table.
SELECT VendorID, Employee, Orders
FROM
(SELECT VendorID, Emp1, Emp2, Emp3, Emp4, Emp5
FROM #pvt) p
UNPIVOT
(Orders FOR Employee IN
(Emp1, Emp2, Emp3, Emp4, Emp5)
)AS unpvt;
GO
Which produces results like this
VendorID Employee Orders
1 Emp1 4
1 Emp2 3
1 Emp3 5
1 Emp4 4
1 Emp5 4
2 Emp1 4
2 Emp2 1
2 Emp3 5
2 Emp4 5
2 Emp5 5
3 Emp1 4
3 Emp2 3
3 Emp3 5
3 Emp4 4
3 Emp5 4
However, I want to include an "incremental date like so that it repeats in a group for each Vendor and the results would be like this
VendorID Employee Orders OrderDate
1 Emp1 4 01/01/2014
1 Emp2 3 02/01/2014
1 Emp3 5 03/01/2014
1 Emp4 4 04/01/2014
1 Emp5 4 05/01/2014
2 Emp1 4 ..
2 Emp2 1
2 Emp3 5
2 Emp4 5
2 Emp5 5
3 Emp1 4
3 Emp2 3
3 Emp3 5
3 Emp4 4
3 Emp5 4
The kicker is that I want to try to do this without resorting to a loop since the transposed results are going to be about 100K records. Is there a way to generate that date field like that without looping over the results?
[edit]
I think, but not sure yet, that [this]1 post might help, using ROW NUMBER
You can use:
Dateadd(DAY, row_number() over( partition by VendorId Order by Employee), #stardate)
According to your example you can partition by vendorId and order by Employee. But you can change just like a regular order by.
Recently i needed to implement a way to allow for Table Records to be Ranked.
Initially i deployed an Update statement to seed the ranks:
;with cte as (
select
t.id,
Rank() Over (
Partition by t.field2
Order by t.id
) as [Rank],
t.index,
t.field2,
t.field3 ,
t.field4
from dbo.Table t
where t.field2 = #fldValue
) Update cte
set index = [Rank]
But now i need to be able to have the end-user re-order the ranks. Any suggestions on how to allow an end-user to take Rank value 92 to Rank value 15 and have everything be re-ranked appropriately.
I had thought about doing this via cursor but am trying to do this via Set based operation.
My first goto was to do a Procedural based operation but need to get more inline with Set based operation.
Table Schema
Table:
id bigint
field2 int
field3 int ---> This field will be the key pivoting column for ranking
field4 int
Data:
id field2 field3 field4
1 0 1 1
2 0 1 1
3 0 1 1
4 0 1 2
5 0 1 2
6 0 1 1
7 0 1 1
8 0 1 1
9 0 1 1
10 0 1 2
11 0 1 2
12 0 1 1
13 0 1 1
14 0 1 1
15 0 1 2
16 0 1 1
17 0 1 2
18 0 1 2
19 0 1 1
My table has a parent/child relationship, along the lines of parent.id,id. There is also a column that contains a quantity, and another ID representing a grand-parent, like so:
id parent.id qty Org
1 1 1 100
2 1 0 100
3 1 4 100
4 4 1 101
5 4 2 101
6 6 1 102
7 6 0 102
8 6 1 102
What this is supposed to show is ID 1 is the parent, and ID 2 and 3 are children which belongs to ID 1, and ID 1, 2, and 3 all belong to the grandparent 100.
I would like to know if any child or parent has QTY = 0, what are all the other id's associated to that parent, and what are all the other parents associated with that grandparent?
For example, I would want to see a report that shows me this:
Org id parent.id qty
100 1 1 1
100 2 1 0
100 3 1 4
102 6 6 1
102 7 6 0
102 8 6 1
Much appreciate any help you can offer to build a MS SQL 2000 (yeah, I know) query to handle this.
Try this
select * from tablename a
where exists (select 1 from tablename x
where x.parent_id = a.parent_id and qty = 0)
Example:
;with cte as
( select 1 id,1 parent_id, 1 qty, 100 org
union all select 2,1,0,100
union all select 3,1,4,100
union all select 4,4,1,101
union all select 5,4,2,101
union all select 6,6,1,102
union all select 7,6,0,102
union all select 8,6,1,102
)
select * from cte a
where exists (select 1 from cte x
where x.parent_id = a.parent_id and qty = 0)
SQL DEMO HERE
Is there a way to read records recursively in similar table and order by depth level?
#table:
id int | parent int | value string
--------------------------------------------
1 -1 some
2 1 some2
3 2 some3
4 2 some4
5 3 some5
6 4 some6
7 3 some5
8 3 some5
9 8 some5
10 8 some5
So is there a way to recursively select where result table would look like this.
select * from #table where id=3
id int | parent int | value string | depth
--------------------------------------------------------
3 2 some3 0
5 3 some5 1
7 3 some5 1
8 3 some5 1
9 8 some5 2
10 8 some5 2
So if I choose id=3 I would see recursion for id=3 and children
Thank you
;with C as
(
select id,
parent,
value,
0 as depth
from YourTable
where id = 3
union all
select T.id,
T.parent,
T.value,
C.depth + 1
from YourTable as T
inner join C
on T.parent = C.id
)
select *
from C
SE-Data
You can accomplish using CTEs, in particular rCTEs.
See this, and this for more information.
Example to follow:
WITH sampleCTE (id, parent, value, depth)
AS (
-- Anchor definition
SELECT id
, parent
, value
, 0
FROM #table
WHERE id = #targetId
-- Recursive definition
UNION ALL
SELECT child.id
, child.parent
, child.value
, sampleCTE.depth + 1
FROM #table child
INNER JOIN sampleCTE ON sampleCTE.id = child.parent
)