We have a table like below in an sql server 2005 db:
event_id staff_id weeks
1 1 NNNYYYYNNYYY
1 2 YYYNNNYYYNNN
2 1 YYYYYYYYNYYY
This is from a piece of timetabling software and is basically saying which staff members are assigned to an event (register) and the set of weeks they are teaching that register. So staff_id 1 isn't teaching the first 3 weeks of event 1 but is teaching the following 4....
Is there an easy way to convert that to an easier form such as:
event_id staff_id week
1 1 4
1 1 5
1 1 6
1 1 7
1 1 10
1 1 11
1 1 12
1 2 1
1 2 2
1 2 3
1 2 7
1 2 8
1 2 9
2 1 1
2 1 2
2 1 3
2 1 4
2 1 5
2 1 6
2 1 7
2 1 8
2 1 10
2 1 11
2 1 12
WITH cte AS
(
SELECT 1 AS [week]
UNION ALL
SELECT [week] + 1
FROM cte
WHERE [week] < 53
)
SELECT t.event_id, t.staff_id, cte.[week]
FROM your_table AS t
INNER JOIN cte
ON LEN(ISNULL(t.weeks, '')) >= cte.[week]
AND SUBSTRING(t.weeks, cte.[week], 1) = 'Y'
ORDER BY t.event_id, t.staff_id, cte.[week]
Related
I have a data (dt) in SQL like the following:
ID time_id act rd
11 1 1 1
11 2 4 1
11 3 7 0
12 1 8 1
12 2 2 0
12 3 4 1
12 4 3 1
12 5 4 1
13 1 4 1
13 2 1 0
15 1 3 1
16 1 8 0
16 2 8 0
16 3 8 0
16 4 8 0
16 5 8 0
and I want to take the subset of this data such that only ids (and their corresponding time_id, act, rd) that has time_id == 5 is retained. The desired output is the following
ID time_id act rd
12 1 8 1
12 2 2 0
12 3 4 1
12 4 3 1
12 5 4 1
16 1 8 0
16 2 8 0
16 3 8 0
16 4 8 0
16 5 8 0
I know I should use having clause somehow but have not been successful so far (returns me empty outputs). below is my attempt:
SELECT * FROM dt
GROUP BY ID
Having min(time_id) == 5;
This query:
select id from tablename where time_id = 5
returns all the ids that you want in the results.
Use it with the operator IN:
select *
from tablename
where id in (select id from tablename where time_id = 5)
You can use a correlated subquery with exists:
select t.*
from t
where exists (select 1 from t t2 where t2.id = t.id and t2.time_id = 5);
WITH temp AS
(
SELECT id FROM tab WHERE time_id = 5
)
SELECT * FROM tab t join temp tp on(t.id=tp.id);
check this query
select * from table t1 join (select distinct ID from table t where time_id = 5) t2 on t1.id =t2.id;
I have a big table like below:
id date count
1 201241 1
2 201241 2
3 201241 0
1 201242 5
2 201242 3
4 201242 4
3 201243 8
4 201243 2
...
How can I shift count column based on id and date columns.
id date shifted_count
1 201241 0
2 201241 0
3 201241 0
1 201242 1
2 201242 2
4 201242 0
3 201243 0
4 201243 4
...
I had some tries but they are incorrect:
;WITH CTE AS
(
SELECT count OVER(ORDER BY id , date ASC) shcount
FROM mytable
)
UPDATE mytable SET shifted_count = (SELECT shcount from CTE )
How to add an increment value (not summarize) with some condition on another column?
I'm using Oracle-like DBMS, named Tibero, for simple example i want to produce this data
ROWNUM GRP_STRT GRP_NO SLBY
1 1 1 1
2 1 1 1
3 1 1 1
4 1 1 1
5 1 1 1
6 1 2 0
7 1 2 0
8 1 3 1
9 1 3 1
10 1 3 1
11 1 4 0
12 1 5 1
Column SLBY is for Buy/Sell code (0=Buy, 1=Sell) then every changing type of transaction, column GRP_NO increasing (but it's not grouping by SLBY column)
SELECT CASE
WHEN ROWNUM = 1 THEN GRP_NO
WHEN ROWNUM <> 1 AND SLBY = LAG(SLBY,1) over (ORDER BY ROWNUM) THEN LAG(GRP_STRT,1) over (ORDER BY ROWNUM) - 1
WHEN ROWNUM <> 1 AND SLBY_DSTN_CD <> LAG(SLBY_DSTN_CD,1) over (ORDER BY ROWNUM) THEN LAG(GRP_STRT,1) over (ORDER BY ROWNUM) + 1
END TARGET_GROUPING
, A.*
FROM SOME_TABLE
I tried with that query but instead of getting what i want like in the picture above, I produced a GRP_NO like 1 1 1 1 1 2 1 1 1 1 2 1 1 1 (first change SLBY only)
Apologies for my bad english and bad explanation, I'll explain more if need further information, thanks for your help!
As far as I understood your problem,
You are trying to calculate GRP_NO from ROWNUM, GRP_STRT, GRP_NO, and SLBY.
I have created the following query for you.
You can check the logic and apply it in your code accordingly:
SELECT
RN,
GRP_STRT,
SUM(CASE
WHEN PREV_SLBY_DSTN_CD IS NULL
OR PREV_SLBY_DSTN_CD <> SLBY_DSTN_CD THEN 1
END) OVER(
ORDER BY
RN
) AS GRP_NO,
SLBY_DSTN_CD AS SLBY
FROM
(
SELECT
RN,
LAG(SLBY_DSTN_CD) OVER(
ORDER BY
RN
) AS PREV_SLBY_DSTN_CD,
SLBY_DSTN_CD,
GRP_STRT
FROM
(SELECT ROWNUM RN, .... FROM SOME_TABLE) A
)
This code is to generate the output as shown in question:
ROWNUM GRP_STRT GRP_NO SLBY
1 1 1 1
2 1 1 1
3 1 1 1
4 1 1 1
5 1 1 1
6 1 2 0
7 1 2 0
8 1 3 1
9 1 3 1
10 1 3 1
11 1 4 0
12 1 5 1
Cheers!!
I have a series of Ids, some of them activate a product on certain month and that product remains activated for an X period of time, while others do not activate the product.
I want to create a column which indicates in which month the user activates the product or a NULL if the user doesn't activate it.
I've tried using a partition like the following:
SELECT id, fl_testdrive, month_dt,
CASE WHEN fl_testdrive = 1 then min(month_dt) OVER(PARTITION BY id ORDER BY month_dt ROWS UNBOUNDED PRECEDING) else 0 end as month_testdrive
FROM Table_1
However, when I try this solution, in the column month_testdrive, I do not obtain the first month in which the user appears, indepently of if he/she activated that product in that month or on a later one.
This is what I get with my query
Id flag_testdrive month_dt month_testdrive
1 0 1 1
1 0 2 1
1 1 3 1
1 1 4 1
2 0 2 0
2 0 3 0
3 1 4 4
3 1 5 4
What I'd expect:
Id flag_testdrive month_dt month_testdrive
1 0 1 3
1 0 2 3
1 1 3 3
1 1 4 3
2 0 2 0
2 0 3 0
3 1 4 4
3 1 5 4
This solution is a second best but is also fine:
Id flag_testdrive month_dt month_testdrive
1 0 1 0
1 0 2 0
1 1 3 3
1 1 4 3
2 0 2 0
2 0 3 0
3 1 4 4
3 1 5 4
You want CASE expression inside MIN():
MIN(CASE WHEN fl_testdrive = 1 THEN month_dt ELSE 0 END) OVER(PARTITION BY id, flag_testdrive ORDER BY month_dt ROWS UNBOUNDED PRECEDING)
Here's an option for you:
DECLARE #Testdate TABLE(
id INT
,flag_testdrive INT
,month_dt INT
)
INSERT INTO #Testdate (
[id]
, [flag_testdrive]
, [month_dt]
)
VALUES(1,0,1)
,(1,0,2)
,(1,1,3)
,(1,1,4)
,(2,0,2)
,(2,0,3)
,(3,1,4)
,(3,1,5)
SELECT
*
,COALESCE((SELECT MIN([aa].[month_dt]) FROM #Testdate aa
WHERE aa.[id] = a.id
AND aa.[flag_testdrive] = 1), 0) AS month_testdrive
FROM #Testdate a
Return the minimum month_dt for a given id only if flag_testdrive=1, wrapped in coalesce to return 0 instead of NULL.
I want to query which replys last different values row number from current row.
NUMBER takes only 2 value.
Table A is given
ROWNUM NUMBER
1 1
2 1
3 1
4 1
5 -1
6 -1
7 1
8 1
9 -1
10 -1
11 -1
EXPECTED result FROM Table A by some query.
ROWNUM NUMBER LASTDIFFERENT
1 1 5
2 1 4
3 1 3
4 1 2
5 -1 3
6 -1 2
7 1 3
8 1 2
9 -1
10 -1
11 -1
This might fall into the category of "just because you can doesn't mean you should." I don't see any elegant solutions to your problem, but this is a working solution, at least for your sample data:
with switches as(
select
rownum, number,
case
when lag(number) over (order by rownum) = number then 0
else 1
end switch
from TableA
),
groups as (
select
rownum, number, sum (switch) over (order by rownum) group_id
from switches
)
select
rownum, number, -- group_id,
max (rownum) over (partition by group_id) - rownum + 2 as last_different
from groups
I ran this on your sample data and got these results:
rownum number last_different
1 1 5
2 1 4
3 1 3
4 1 2
5 -1 3
6 -1 2
7 1 3
8 1 2
9 -1 4
10 -1 3
11 -1 2