What is the shortest, fastest, easiest way to transpose the results of the query below? I want the 0-3 and 3-6 to show in the first column. Sorry but this is one of those things that will boggle me for days if I don't reach out. Thanks in advance.
SELECT SUM (CASE WHEN CMAPR BETWEEN 0 AND 3 THEN 1 ELSE 0 END) AS [0-3],
SUM (CASE WHEN CMAPR BETWEEN 3.01 AND 6 THEN 1 ELSE 0 END) AS [3-6]
FROM TBL
Current Results:
Use aggregation:
SELECT (CASE WHEN CMAPR >= 0 AND CMAPR <=3 THEN '0-3'
WHEN CMAPR <= 6 THEN '3-6'
ELSE 'Other'
END) AS grp, COUNT(*)
FROM tbl
GROUP BY (CASE WHEN CMAPR >= 0 AND CMAPR <=3 THEN '0-3'
WHEN CMAPR <= 6 THEN '3-6'
ELSE 'Other'
END);
The only downside is that this will not return a group if it has no rows.
You can simply unpivot your query by doing:
SELECT v.*
FROM (SELECT SUM (CASE WHEN CMAPR BETWEEN 0 AND 3 THEN 1 ELSE 0 END) AS [0-3],
SUM (CASE WHEN CMAPR BETWEEN 3.01 AND 6 THEN 1 ELSE 0 END) AS [3-6]
FROM TBL
) x CROSS APPLY
(VALUES ('[0-3]', [0-3]), ('[3-6]', [3-6])) v(which, val);
Related
The table that needs to be queried looks like this:
ID
UserID
ProductCodes
1
33
9999
2
456
3051
3
456
9999
4
456
3051
4
33
9999
How would I write a SQL query to find out which users have at least one productCodes = '9999' and also have more than 10 productCodes <> '9999'?
You can use GROUP BY and HAVING:
SELECT
UserID
FROM dbo.YourTable
GROUP BY
UserId
HAVING SUM(CASE WHEN ProductCodes = '9999' THEN 1 ELSE 0 END) >= 1
AND COUNT(DISTINCT ProductCodes) >= 11
;
Use Case or Intersect (case is more performant)
SELECT UserID, SUM (case when ProductCodes='9999' then 1 else 0 end) PC9999
, SUM (case when ProductCodes<>'9999' then 1 else 0 end) PCNot9999
FROM dbo.Users
WHERE ProductCodes='9999'
GROUP BY UserID
HAVING SUM (case when ProductCodes='9999' then 1 else 0 end)>0
AND SUM (case when ProductCodes<>'9999' then 1 else 0 end) >10
I ended up going with this. It allows us to get specific with how many times a '9999' product code has been used in comparison with other codes.
SELECT
UserID
FROM Session_Hst
GROUP BY
UserID
HAVING SUM(CASE WHEN ProductCodes = '9999' THEN 1 ELSE 0 END) >= 1
AND COUNT(CASE WHEN ProductCodes <> '9999' THEN 1 ELSE null END ) >= 10
;
I'm querying the bin table to get the total active bins, total counted bins and calculate the percent of bins counted. Here's my query:
SELECT bin.location_id
,SUM(CASE WHEN bin.delete_flag = 'N' THEN 1 ELSE 0 END) AS total_active
,SUM(CASE WHEN bin.date_last_counted > 0 THEN 1 ELSE 0 END) AS total_counted
--,(total_counted / total_active) as pct_counted
From bin
Group by bin.location_id
Order by bin.location_id
When I try to use the code to create my pct_counted, it tells me "invalid column name" for both of the columns I'm using to calculate that value. Data looks like below.
location_id total_active total_counted
2 11502 484
6 2281 108
15 1772 253
Can anyone help?
You need to repeat the expressions (or use a subquery or CTE). I would recommend:
SELECT bin.location_id,
SUM(CASE WHEN bin.delete_flag = 'N' THEN 1 ELSE 0 END) AS total_active,
SUM(CASE WHEN bin.date_last_counted > 0 THEN 1 ELSE 0 END) AS total_counted
(SUM(CASE WHEN bin.date_last_counted > 0 THEN 1.0 ELSE 0 END) /
SUM(CASE WHEN bin.delete_flag = 'N' THEN 1 END)
) AS as pct_counted
FROM bin
GROUP BY bin.location_id
ORDER BY bin.location_id;
Note that I removed the ELSE clause for the second expression. This avoids divide-by-zero. The 1.0 also ensures decimal division even if your database does integer division.
I would format the sub-query this way:
Select
a.location_id
total_counted/total_active as pct_counted
from(select
bin.location_id
,SUM(CASE WHEN bin.delete_flag = 'N' THEN 1 ELSE 0 END) AS total_active
,SUM(CASE WHEN bin.date_last_counted > 0 THEN 1 ELSE 0 END) AS total_counted
From bin
Group by bin.location_id
Order by bin.location_id) a
I've tried MAX CASE WHEN and CTE but for some reason can't exactly figure this out.
My data looks like this:
SELECT RC, isMHy, eligible
FROM test
RC isMHY eligible
190B05 0 1
190K00 1 0
There can be up to 4 rows in the table, I want to the results to look like this (12 columns in case there are 4 rows)
RC1 isMHY1 eligible1 RC2 isMHY2 eligible2
190B05 0 1 190K00 1 0
Any suggestions would be appreciated
You can use conditional aggregation with ROW_NUMBER() :
SELECT MAX(CASE WHEN s.rnk = 1 THEN s.rc END) as rc1,
MAX(CASE WHEN s.rnk = 1 THEN s.ismhy END) as ismhy1,
MAX(CASE WHEN s.rnk = 1 THEN s.eligible END) as eligible1,
MAX(CASE WHEN s.rnk = 2 THEN s.rc END) as rc2,
MAX(CASE WHEN s.rnk = 2 THEN s.ismhy END) as ismhy2,
MAX(CASE WHEN s.rnk = 2 THEN s.eligible END) as eligible2,
..........
FROM(
SELECT t.*,
ROW_NUMBER() OVER(ORDER BY SELECT 1) as rnk
FROM test t) s
if i have the following select two count cases:
COUNT(CASE WHEN STATUS ='Færdig' THEN 1 END) as completed_callbacks,
COUNT(CASE WHEN SOLVED_SECONDS /60 /60 <= 2 THEN 1 END) as completed_within_2hours
and i want to devide the two results with eachother how can i achieve this?
this is my attemt however that failed:
CASE(completed_callbacks / completed_within_2hours * 100) as Percentage
i know this is a rather simple question but i havnt been able to find the answer anywhere
You have to create a derived table:
SELECT completed_callbacks / completed_within_2hours * 100
FROM (SELECT Count(CASE
WHEN status = 'Færdig' THEN 1
END) AS completed_callbacks,
Count(CASE
WHEN solved_seconds / 60 / 60 <= 2 THEN 1
END) AS completed_within_2hours
FROM yourtable
WHERE ...)
Try this:
with x as (
select 'Y' as completed, 'Y' as completed_fast from dual
union all
select 'Y' as completed, 'N' as completed_fast from dual
union all
select 'Y' as completed, 'Y' as completed_fast from dual
union all
select 'N' as completed, 'N' as completed_fast from dual
)
select
sum(case when completed='Y' then 1 else 0 end) as count_completed,
sum(case when completed='N' then 1 else 0 end) as count_not_completed,
sum(case when completed='Y' and completed_fast='Y' then 1 else 0 end) as count_completed_fast,
case when (sum(case when completed='Y' then 1 else 0 end) = 0) then 0 else
((sum(case when completed='Y' and completed_fast='Y' then 1 else 0 end) / sum(case when completed='Y' then 1 else 0 end))*100)
end pct_completed_fast
from x;
Results:
"COUNT_COMPLETED" "COUNT_NOT_COMPLETED" "COUNT_COMPLETED_FAST" "PCT_COMPLETED_FAST"
3 1 2 66.66666666666666666666666666666666666667
The trick is to use SUM rather than COUNT, along with a decode or CASE.
select
COUNT(CASE WHEN STATUS ='Færdig' THEN 1 END)
/
COUNT(CASE WHEN SOLVED_SECONDS /60 /60 <= 2 THEN 1 END)
* 100
as
Percentage
the output i would like to display was accumulator of total EMPL_NUM. For example, the value show in the field TOTAL_FEBRUARY=TOTAL_JANUARY+TOTAL_FEBRUARY,while for the value exist in field TOTAL_MARCH=TOTAL_MARCH+TOTAL_JANUARY+TOTAL_FEBRUARY. I hope some of you can provide the solution for do it. Thank you very much. The coding is show as below:
SELECT
(CASE WHEN To_Char(A.EFFDT,'MM')=01 THEN 1
WHEN To_Char(A.EFFDT,'MM')=02 THEN 2
WHEN To_Char(A.EFFDT,'MM')=03 THEN 3
WHEN To_Char(A.EFFDT,'MM')=04 THEN 4
WHEN To_Char(A.EFFDT,'MM')=05 THEN 5
WHEN To_Char(A.EFFDT,'MM')=06 THEN 6
WHEN To_Char(A.EFFDT,'MM')=07 THEN 7
WHEN To_Char(A.EFFDT,'MM')=08 THEN 8
WHEN To_Char(A.EFFDT,'MM')=09 THEN 9
WHEN To_Char(A.EFFDT,'MM')=10 THEN 10
WHEN To_Char(A.EFFDT,'MM')=11 THEN 11
WHEN To_Char(A.EFFDT,'MM')=12 THEN 12
ELSE NULL END) AS MONTHS
,Count(*) AS EMPL_NUM
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=01 THEN 1 ELSE 0 END) AS TOTAL_JANUARY
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=02 THEN 1 ELSE 0 END) AS TOTAL_FEBRUARY
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=03 THEN 1 ELSE 0 END) AS TOTAL_MARCH
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=04 THEN 1 ELSE 0 END) AS TOTAL_APRIL
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=05 THEN 1 ELSE 0 END) AS TOTAL_MAY
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=06 THEN 1 ELSE 0 END) AS TOTAL_JUN
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=07 THEN 1 ELSE 0 END) AS TOTAL_JULY
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=08 THEN 1 ELSE 0 END) AS TOTAL_AUGUST
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=09 THEN 1 ELSE 0 END) AS TOTAL_SEPTEMBER
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=10 THEN 1 ELSE 0 END) AS TOTAL_OCTOBER
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=11 THEN 1 ELSE 0 END) AS TOTAL_NOVEMBER
,Sum(CASE WHEN To_Char(A.EFFDT,'MM')=12 THEN 1 ELSE 0 END) AS TOTAL_DECEMBER
FROM PS_JOB A
,PS_CITIZEN_PSSPRT B
,PS_CITIZENSHIP C
,PS_CITIZEN_STS_TBL D
WHERE A.HR_STATUS='A'
AND A.EFFDT=(SELECT Max(A1.EFFDT) FROM PS_JOB A1 WHERE A.EMPLID=A1.EMPLID AND A.EMPL_RCD=A1.EMPL_RCD AND A1.EFFDT<=SYSDATE)
AND A.EMPL_RCD=0
AND A.EFFSEQ=(SELECT Max(A2.EFFSEQ) FROM PS_JOB A2 WHERE A.EMPLID=A2.EMPLID AND A.EMPL_RCD=A2.EMPL_RCD AND A.EFFDT=A2.EFFDT)
AND A.EMPLID =B.EMPLID(+)
AND B.DEPENDENT_ID=' '
AND A.EMPLID=C.EMPLID
AND B.EMPLID=C.EMPLID
AND B.DEPENDENT_ID=C.DEPENDENT_ID
AND B.COUNTRY=C.COUNTRY
AND B.COUNTRY=D.COUNTRY
AND C.COUNTRY=D.COUNTRY
AND C.CITIZENSHIP_STATUS=D.CITIZENSHIP_STATUS
AND C.CITIZENSHIP_STATUS IN ('5','7')
AND To_Char(A.EFFDT,'YYYY')=2012
GROUP BY CASE WHEN To_Char(A.EFFDT,'MM')=01 THEN 1
WHEN To_Char(A.EFFDT,'MM')=02 THEN 2
WHEN To_Char(A.EFFDT,'MM')=03 THEN 3
WHEN To_Char(A.EFFDT,'MM')=04 THEN 4
WHEN To_Char(A.EFFDT,'MM')=05 THEN 5
WHEN To_Char(A.EFFDT,'MM')=06 THEN 6
WHEN To_Char(A.EFFDT,'MM')=07 THEN 7
WHEN To_Char(A.EFFDT,'MM')=08 THEN 8
WHEN To_Char(A.EFFDT,'MM')=09 THEN 9
WHEN To_Char(A.EFFDT,'MM')=10 THEN 10
WHEN To_Char(A.EFFDT,'MM')=11 THEN 11
WHEN To_Char(A.EFFDT,'MM')=12 THEN 12
ELSE NULL END
nter code here
Use <= operator when calculating SUM, e.g.:
Sum(CASE WHEN TO_NUMBER(To_Char(A.EFFDT,'MM')) <= 3 THEN 1 ELSE 0 END) AS TOTAL_MARCH
I think what you are asking for is a running total. Take a look at analytic functions (for example, the psoug site). If the core of your query is correct, do a regular aggregate in the inner query, then wrap that in an analytic function for the running total.
SELECT month
,SUM(month_count) OVER ( ROWS BETWEEN UNBOUNDED PRECEDING
AND CURRENT ROW )
AS running_total
FROM ( SELECT To_Char(A.EFFDT,'MM') AS month
,COUNT(*) AS month_count
FROM PS_JOB A
,PS_CITIZEN_PSSPRT B
,PS_CITIZENSHIP C
,PS_CITIZEN_STS_TBL D
WHERE A.HR_STATUS='A'
AND A.EFFDT=( SELECT Max(A1.EFFDT)
FROM PS_JOB A1
WHERE A.EMPLID=A1.EMPLID
AND A.EMPL_RCD=A1.EMPL_RCD
AND A1.EFFDT<=SYSDATE )
AND A.EMPL_RCD=0
AND A.EFFSEQ=( SELECT Max(A2.EFFSEQ)
FROM PS_JOB A2
WHERE A.EMPLID=A2.EMPLID
AND A.EMPL_RCD=A2.EMPL_RCD
AND A.EFFDT=A2.EFFDT )
AND A.EMPLID =B.EMPLID(+)
AND B.DEPENDENT_ID=' '
AND A.EMPLID=C.EMPLID
AND B.EMPLID=C.EMPLID
AND B.DEPENDENT_ID=C.DEPENDENT_ID
AND B.COUNTRY=C.COUNTRY
AND B.COUNTRY=D.COUNTRY
AND C.COUNTRY=D.COUNTRY
AND C.CITIZENSHIP_STATUS=D.CITIZENSHIP_STATUS
AND C.CITIZENSHIP_STATUS IN ('5','7')
AND To_Char(A.EFFDT,'YYYY')=2012
GROUP BY To_Char(A.EFFDT,'MM')
)
ORDER BY month