I want to print only the IDs which have flag=1 but not have a group value as 0
(i.e print only flag = 1 in all visit)
Sample:
ID Val Flag
123 12 0
123 15 0
123 25 1
123 48 0
321 78 1
321 56 1
456 23 0
456 54 0
789 78 1
Expected Result:
ID
321
789
You can try the below -
select id
from tablename
group by id
having min(flag)=max(flag) and min(flag)=1
You could do the following:
SELECT ID
FROM tablename
WHERE flag != 0
Related
i have the following codes which displays the following result
select distinct
srcaccountid,
srccharid,
srccharname,
action,
itemname,
sum(itemcount) over (partition by srccharname, itemname)
as total_count,
sum(price) over(partition by srccharname, itemname)
as total_price
from
itemlog
where
action = 6
and logtime >='2023-02-13'
order by
total_count desc,
srcaccountid
the result is as follows
srcaccountid srccharid srccharname action itemname total_count total_price
1 21 abc 6 dog 2222 231
2 22 sdd 6 cat 1234 122
1 21 abc 6 cat 324 77
1 21 abc 6 mouse 122 32
2 22 sdd 6 mouse 12 3
i will like the result to show as follow
srcaccountid srccharid srccharname action itemname total_count
total_price
1 21 abc 6 dog 2222 231
1 21 abc 6 cat 324 77
1 21 abc 6 mouse 122 32
2 22 sdd 6 cat 1234 122
2 22 sdd 6 mouse 12 3
i cant seem to be able to show the highest sales amount while grouping the ids together and not splitting them up
Change the order by. Put the srcaccountid first.
order by
srcaccountid,
total_count desc
I am making a select from a table that has alums, but those alums can have a "level" being 01, 02, 03, 04, 05 or 99 and if I select a distinct(code) there will be 2 or 3 files of the same "code" with different "level". I want to be able to ONLY get the "code" with the higher "level" anytime.
Example of my code:
select
Level,
count(Code) as Atendee,
count(CASE WHEN CodPlace = 01 THEN (Atendee) ELSE null END ) as AtendeeCho,
count(CASE WHEN CodPlace = 02 THEN (Atendee) ELSE null END ) as AtendeeSB,
count(CASE WHEN CodPlace = 14 THEN (Atendee) ELSE null END ) as AtendeeIca
from #TempoPar
group by Level
order by Level
And here is the result:
Level Atendee AtendeeCho AtendeeSB AtendeeIca
1 3 2 0 1
2 0 0 0 0
3 2 2 0 0
99 1 1 0 0
Problem is that the one who is in AtendeeCho from level 1, 2 and 99 is the same person and he should only be on 99 or 3 if he wasn't on 99.
Thanks in advance!
Data example:
Code ( user) Level Career CodPlace
12345 1 9 01
12345 3 15 01
12346 1 10 14
12347 1 10 01
12345 3 15 01
12347 99 15 01
Now, this is what I require:
From the data sample:
Code ( user) Level Career CodPlace
12345 3 15 01
12346 1 10 14
12347 99 15 01
In the final output with the corrected data it should be:
Level Atendee AtendeeCho AtendeeSB AtendeeIca
1 1 0 0 1
2 0 0 0 0
3 1 1 0 0
99 1 1 0 0
I'm using SQL Server 2016.
I have the below table:
SKU Shop Week ShopPrioirty Replen Open_Stk Open_Stk Calc
111 100 1 1 0 17 NULL
111 200 1 2 2 NULL NULL
111 300 1 3 0 NULL NULL
111 400 1 4 0 NULL NULL
222 100 2 1 5 17 NULL
222 200 2 2 5 NULL NULL
222 300 2 3 5 NULL NULL
222 400 2 4 5 NULL NULL
This is the desired result:
SKU Shop Week ShopPrioirty Replen Open_Stk Open_Stk Calc
111 100 1 1 0 17 17
111 200 1 2 2 NULL 17
111 300 1 3 0 NULL 15
111 400 1 4 0 NULL 15
222 100 2 1 20 17 17
222 200 2 2 15 NULL 12
222 300 2 3 12 NULL 7
222 400 2 4 10 NULL 2
I need to update the 'Open_Stk Calc' based on the previous row:
'Open_Stk Calc' - IIF('Replen'<=IIF('Open_Stk'>=0,'Open_Stk',0),'Replen',0)
I am using a CTE to update a row based on a calculation of the previous rows. This is my SQL:
;WITH CTE AS
(
SELECT
SKU,
[Shop],
[Week],
[Store_Priority],
[Replen],
[Open_Stk],
[Open_Stk Calc],
FIRST_VALUE([Open_Stk]) OVER ( PARTITION BY [SKU] ,[Week] ORDER BY [Store_Priority] ROWS UNBOUNDED PRECEDING)
-
ISNULL(SUM(IIF([Replen] <= IIF([Open_Stk]>=0,[Open_Stk],0),[Replen],0))
OVER (PARTITION BY [SKU] ,[Week] ORDER BY [Store_Priority] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING), 0) AS CurrentStock
FROM [tblTEST])
UPDATE CTE
SET [Open_Stk Calc] = CurrentStock
However, this produces the following result:
SKU Shop Week ShopPrioirty Replen Open_Stk Open_Stk Calc
111 100 1 1 0 17 17
111 200 1 2 2 NULL 17
111 300 1 3 0 NULL 17
111 400 1 4 0 NULL 17
And not the desired result - where have I gone wrong?
As one can see in the MS documentation, the OVER clauses supports specific kind of functions:
Ranking functions
Aggregate functions
Analytic functions
NEXT VALUE FOR function
None of them include IIF, as Luis Cazares noted in their comment.
Your code indicates you do have a clue about what you are doing - maybe you forgot to put your IIF inside a SUM?
I have a data table like below:
Table 1:
ROWID PERSONID YEAR pidDifference TIMETOEVENT DAYSBETVISIT
10 111 2009 . 100 .
110 120 2009 9 10 .
231 120 2009 0 20 10
222 120 2010 0 40 20
221 222 2009 102 10 30
321 222 2009 0 30 20
213 222 2009 0 10 20
432 321 2009 99 10 0
211 432 2009 111 20 10
212 432 2009 0 20 0
I want to sum over the DAYSBETVISIT column only when the pidDifference value is 0 for each PERSONID. So I wrote the following proc sql statement.
proc sql;
create table table5 as
(
select rowid, YEAR, PERSONID, pidDifference, TIMETOEVENT, DAYSBETVISIT,
SUM(CASE WHEN PIDDifference = 0 THEN DaysBetVisit ELSE 0 END)
from WORK.Table4_1
group by PERSONID,TIMETOEVENT, YEAR
);
quit;
However, the result I got was not summing the DAYSBETVISIT values in rows where PIDDifference = 0 within the same PERSONID. It just output the same value as was present in DAYSBETVISIT in that specific row.
Column that I NEED (sumdays) but don't get with above statement (showing the resultant column using above statement as OUT:
ROWID PERSONID YEAR pidDifference TIMETOEVENT DAYSBETVISIT sumdays OUT
10 111 2009 . 100 . 0 0
110 120 2009 9 10 . 0 0
231 120 2009 0 20 10 30 10
222 120 2010 0 40 20 30 20
221 222 2009 102 10 30 0 0
321 222 2009 0 30 20 40 20
213 222 2009 0 10 20 40 20
432 321 2009 99 10 0 0 0
211 432 2009 111 20 10 0 0
212 432 2009 0 20 0 0 0
I do not know what I am doing wrong.
I am using SAS EG Version 7.15, Base SAS version 9.4.
For your example data it looks like you just need to use two CASE statements. One to define which values to SUM() and another to define whether to report the SUM or not.
proc sql ;
select personid, piddifference, daysbetvisit, sumdays
, case when piddifference = 0
then sum(case when piddifference=0 then daysbetvisit else 0 end)
else 0 end as WANT
from expect
group by personid
;
quit;
Results
pid
PERSONID Difference DAYSBETVISIT sumdays WANT
--------------------------------------------------------
111 . . 0 0
120 0 10 30 30
120 0 20 30 30
120 9 . 0 0
222 0 20 40 40
222 0 20 40 40
222 102 30 0 0
321 99 0 0 0
432 0 0 0 0
432 111 10 0 0
SAS proc sql doesn't support window functions. I find the re-merging aggregations to be a bit difficult to use, except in the obvious cases. So, use a subquery or join and group by:
proc sql;
create table table5 as
select t.rowid, t.YEAR, t.PERSONID, t.pidDifference, t.TIMETOEVENT, t.DAYSBETVISIT,
tt.sum_DaysBetVisit
from WORK.Table4_1 t left join
(select personid, sum(DaysBetVisit) as sum_DaysBetVisit
from WORK.Table4_1
group by personid
having min(pidDifference) = max(pidDifference) and min(pidDifference) = 0
) tt
on tt.personid = t.personid;
Note: This doesn't handle NULL values for pidDifference. If that is a concern, you can add count(pidDifference) = count(*) to the having clause.
I have the following table in an Oracle database:
InvoiceNumber InvoiceDate InvoiceCorrelative
------------- ----------- ------------------
123 02-03-2009 0
124 02-03-2009 0
125 02-04-2009 0
126 02-04-2009 0
127 02-04-2009 0
128 02-05-2009 0
129 02-06-2009 0
130 02-06-2009 0
... ... ...
And I want to set a value for the InvoiceCorrelative column in every row in order to have a sequence of numbers starting at 1 for each date. In the example above I want the table to look like this:
InvoiceNumber InvoiceDate InvoiceCorrelative
------------- ----------- ------------------
123 02-03-2009 1
124 02-03-2009 2
125 02-04-2009 1
126 02-04-2009 2
127 02-04-2009 3
128 02-05-2009 1
129 02-06-2009 1
130 02-06-2009 2
... ... ...
Is it possible to do it only using SQL statements?. I've been playing with rownum but didn't get anywhere.
Try:
ROW_NUMBER() OVER (PARTITION BY InvoiceDate ORDER BY InvoiceNumber)
Using Standard SQL,
Update TableName T Set
InvoiceCorrelative =
(Select Count(*) From TableName
Where InvoiceDate = T.InvoiceDate
And InvoiceNumber <= T.InvoiceNumber)