I have this SQL query
SELECT COUNT(*)*100/(SELECT COUNT(*) FROM tickets WHERE status = 'closed')
FROM tickets
WHERE closed_at <= due_at
UNION
SELECT COUNT(*)*100/(SELECT COUNT(*) FROM tickets WHERE status = 'closed')
FROM tickets
WHERE closed_at > due_at;
and it returns this
ROW 1 - 35
ROW 2 - 47
but I need the return like this:
1 | 2 |
35 47
I need the returns in columns, not rows.
Thanks.
Use conditional aggregation. I would recommend:
SELECT (SUM(CASE WHEN closed_at <= due_at THEN 100.0 ELSE 0 END) /
SUM(CASE WHEN status = 'closed' THEN 1 ELSE 0 END)
),
(SUM(CASE WHEN closed_at > due_at THEN 100.0 ELSE 0 END) /
SUM(CASE WHEN status = 'closed' THEN 1 ELSE 0 END)
)
FROM tickets ;
It seems strange that you are filtering on status = 'closed' in the denominator, but not in the numerator. If status = closed should be the filter for both, then you can simplify this to:
SELECT AVG(CASE WHEN closed_at <= due_at THEN 100.0 ELSE 0 END),
AVG(CASE WHEN closed_at > due_at THEN 100.0 ELSE 0 END)
FROM tickets
WHERE status = 'closed';
Related
Currently I am getting Blank columns But I want 0 Here as shown in the image. Click here for the Image. Below is my query and I want all the columns to display 0 when sum returned is 0.
SELECT COUNT(*) AS Inserted,
SUM(CASE WHEN status = 0 THEN 1 ELSE 0 END) AS Pending,
SUM(CASE WHEN status = 1 THEN 1 ELSE 0 END) AS Completed,
SUM(CASE WHEN status = 2 THEN 1 ELSE 0 END) AS Failure
FROM [dbo].[ETIME_TIMECARD]
where cast(CreateDateTime as date) = CAST(GETDATE() AS DATE)
Group By cast(CreateDateTime as date)
You're getting no results because your WHERE isn't returning any results and you have a GROUP BY with nothing to group on. In truth, the GROUP BY appears to not be required.
SELECT COUNT(*) AS Inserted,
ISNULL(SUM(CASE WHEN status = 0 THEN 1 ELSE 0 END),0) AS Pending,
ISNULL(SUM(CASE WHEN status = 1 THEN 1 ELSE 0 END),0) AS Completed,
ISNULL(SUM(CASE WHEN status = 2 THEN 1 ELSE 0 END),0) AS Failure
FROM [dbo].[ETIME_TIMECARD]
WHERE CreateDateTime >= CAST(GETDATE() AS date)
AND CreateDateTime < CAST(DATEADD(DAY, 1, GETDATE()) AS date);
Though, personally, I would switch to a COUNT as you clearly are counting, and then you don't need to ISNULL, as a COUNT will not return NULL:
SELECT COUNT(*) AS Inserted,
COUNT(CASE status WHEN 0 THEN 1 END) AS Pending,
COUNT(CASE status WHEN 1 THEN 1 END) AS Completed,
COUNT(CASE status WHEN 2 THEN 1 END) AS Failure
FROM [dbo].[ETIME_TIMECARD]
WHERE CreateDateTime >= CAST(GETDATE() AS date)
AND CreateDateTime < CAST(DATEADD(DAY, 1, GETDATE()) AS date);
How to make persen_sukses or persen_gagal only get 2 decimal ?
I try use round but get some error.
May be anyone can help me.
Here is my sql
SELECT * ,(CASE WHEN all_trx.trx_gagal = 0 THEN 100 WHEN all_trx.trx_sukses = 0 THEN 0 ELSE (CAST(all_trx.trx_sukses AS float)/CAST(all_trx.trx_total AS float)*100) END) AS persen_sukses,
(CASE WHEN all_trx.trx_sukses = 0 THEN 100 WHEN all_trx.trx_gagal = 0 THEN 0 ELSE (CAST(all_trx.trx_gagal AS float)/CAST(all_trx.trx_total AS float)*100) END) AS persen_gagal
FROM
(SELECT kode_produk AS Produk,
COUNT(CASE WHEN status = '20' THEN 1 END) AS trx_sukses,
COUNT(CASE WHEN status > '20' THEN 1 END) AS trx_gagal,
COUNT(CASE WHEN status >= '20' THEN 1 END) AS trx_total
FROM transaksi WHERE CAST(tgl_entri AS DATE) = CAST(GETDATE() AS DATE) GROUP BY kode_produk)
AS all_trx
SELECT *
,(CASE
WHEN all_trx.trx_gagal = 0 THEN 100
WHEN all_trx.trx_sukses = 0 THEN 0
--ELSE (CAST(all_trx.trx_sukses AS float)/CAST(all_trx.trx_total AS float)*100)
ELSE CAST(all_trx.trx_sukses*100.0 / all_trx.trx_total as numeric(18,2) )
END) AS persen_sukses
,(CASE
WHEN all_trx.trx_sukses = 0 THEN 100
WHEN all_trx.trx_gagal = 0 THEN 0
--ELSE (CAST(all_trx.trx_gagal AS float)/CAST(all_trx.trx_total AS float)*100)
ELSE CAST(all_trx.trx_gagal*100.0 / all_trx.trx_total as numeric(18,2) )
END) AS persen_gagal
FROM
(
SELECT
kode_produk AS Produk,
COUNT(CASE WHEN status = '20' THEN 1 END) AS trx_sukses,
COUNT(CASE WHEN status > '20' THEN 1 END) AS trx_gagal,
COUNT(CASE WHEN status >= '20' THEN 1 END) AS trx_total
FROM transaksi
WHERE CAST(tgl_entri AS DATE) = CAST(GETDATE() AS DATE)
GROUP BY kode_produk
) AS all_trx
Dear i am able to fix the issue in your query, Pleae note the only change i did is ELSE part of Case Statement. I executed the query and now returning the value upto two decimal places only. If you have to increase or decrease the digits after the decimal sign update the value of numeric(18,2) here 2 is number of digit after decimal.
I have a sql table having columns Name, VisitingDate, StayTime
I want a query which can give me data in which in 1 column I can get data of thismonthvisit and other column I can get data of lastmonthvisit and in 3rd column I can data of summation of StayTime of particular person .
Database Table : --
Name
VisitingDate
StayTime(in minutes)
A
2021-04-20
5
A
2021-04-21
15
A
2021-03-20
10
B
2021-03-20
5
Result Wanted : --
Name
Thismonthvisit
TotalStayTimeThismonth(in minutes)
LastmonthVisit
TotalStayTimelastmonth(in minutes)
A
2
20
1
10
B
0
0
1
5
Here is what you are looking for :
select name,
SUM(CASE WHEN FORMAT(VisitingDate, 'YYYYMM') = FORMAT(getdate(),'YYYYMM') THEN 1 ELSE 0 END) AS ThisMonthVisit,
SUM(CASE WHEN FORMAT(VisitingDate, 'YYYYMM') = FORMAT(getdate(),'YYYYMM') THEN StayTime ELSE 0 END) AS TotalStayTimeThisMonth,
SUM(CASE WHEN FORMAT(VisitingDate, 'YYYYMM') = FORMAT(dateadd(month, -1, getdate()),'YYYYMM') THEN 1 ELSE 0 END) AS LastMonthVisit,
SUM(CASE WHEN FORMAT(VisitingDate, 'YYYYMM') = FORMAT(dateadd(month, -1, getdate()),'YYYYMM') THEN StayTime ELSE 0 END) AS TotalStayTimeLastMonth
from MyTable
where FORMAT(VisitingDate, 'YYYYMM') > FORMAT(dateadd(month, -2, getdate()),'YYYYMM')
group by Name
SEE DEMO HERE
You can use aggregation:
select name,
sum(case when month(visitingdate) = month(getdate())
then 1 else 0
end) as cnt_thismonth,
sum(case when month(visitingdate) = month(getdate())
then staytime else 0
end) staytime_thismonth,
sum(case when month(visitingdate) <> month(getdate())
then 1 else 0
end) as cnt_lastmonth,
sum(case when month(visitingdate) <> month(getdate())
then staytime else 0
end) staytime_lastmonth
from t
where visitingdate >= dateadd(month, -1, datefromparts(year(getdate()), month(getdate()), 1))
group by name;
I have a table in MS SQL DB which contains transactions of any company, there are two columns
sub_cat_code
total_amount
The total_amount contain sometimes positive and sometimes negative value. Where positive values indicates the sale and negative value indicates Returns.
Now, I need to find the percentage of sales and percentage of return using following query, in percentage of return column every value coming same. any help would be appreciable.
Select prod_subcat_code ,
(sum(total_amt)*100 /(select sum(total_amt) from transection)) as
Sale_pers,
((select sum(total_amt) from transection where total_amt<0)*100/(select
sum(total_amt) from transection)) as return_sale
from transection
group by prod_subcat_code
order by Sale_pers desc
Use a CTE which returns the total sales and total returns of the table:
with cte as (
select
sum(case when total_amount > 0 then total_amount else 0 end) total_sales,
sum(case when total_amount < 0 then total_amount else 0 end) total_returns
from transection
)
select prod_subcat_code ,
100.0 * sum(case when total_amount > 0 then total_amount else 0 end) / (select total_sales from cte) as sale_perc,
100.0 * sum(case when total_amount < 0 then total_amount else 0 end) / (select total_returns from cte) as return_perc
from transection
group by prod_subcat_code
See the demo.
If I understand correctly, you just want to divide two aggregated values:
Select prod_subcat_code,
sum(total_amt) as net_sales,
sum(case when total_amt > 0 then total_amt else 0 end) as sales,
sum(case when total_amt < 0 then total_amt else 0 end) as returns,
(sum(case when total_amt > 0 then total_amt else 0 end) /
nullif(sum(total_amt), 0)
) as sales_ratio,
(sum(case when total_amt < 0 then total_amt else 0 end) /
nullif(sum(total_amt), 0)
) as return_ratio
from transection
group by prod_subcat_code;
You may want change your query to this for desired result:
Select prod_subcat_code,
sum(case when total_amt > 0 then total_amt else 0 end) as sales,
(sum(case when total_amt > 0 then total_amt else 0 end) /
(sum(total_amt)) ) * 100 as sales_Percent,
sum(case when total_amt < 0 then total_amt else 0 end) as [returns],
(sum(case when total_amt < 0 then total_amt else 0 end) /
(sum(total_amt)) ) * 100 as Return_Percent
from transection
group by prod_subcat_code
order by sales_Percent desc
Hope it will help you,
SELECT prod_subcat_code
,(SUM(CASE WHEN total_amt > 0 THEN total_amt END)/sum(total_amt))*100 AS Sales_Percentage
,(SUM(CASE WHEN total_amt < 0 THEN total_amt END)/sum(total_amt))*100 AS Return_Percentage
FROM transection
GROUP BY prod_subcat_code;
I'm trying to create a cohort query using SQL.
Usually with cohort analysis we look at users and check if a user who performed a specific action at a specific time and count if that user performs the same action over time.
WITH by_week
AS (SELECT
user_id,
TD_DATE_TRUNC('week', login_time) AS login_week
FROM logins
GROUP BY 1, 2),
with_first_week
AS (SELECT
user_id,
login_week,
FIRST_VALUE(login_week) OVER (PARTITION BY user_id ORDER BY login_week) AS first_week
FROM by_week),
with_week_number
AS (SELECT
user_id,
login_week,
first_week,
(login_week - first_week) / (24 * 60 * 60 * 7) AS week_number
FROM with_first_week)
SELECT
TD_TIME_FORMAT(first_week, 'yyyy-MM-dd') AS first_week,
SUM(CASE WHEN week_number = 1 THEN 1 ELSE 0 END) AS week_1,
SUM(CASE WHEN week_number = 2 THEN 1 ELSE 0 END) AS week_2,
SUM(CASE WHEN week_number = 3 THEN 1 ELSE 0 END) AS week_3,
SUM(CASE WHEN week_number = 4 THEN 1 ELSE 0 END) AS week_4,
SUM(CASE WHEN week_number = 5 THEN 1 ELSE 0 END) AS week_5,
SUM(CASE WHEN week_number = 6 THEN 1 ELSE 0 END) AS week_6,
SUM(CASE WHEN week_number = 7 THEN 1 ELSE 0 END) AS week_7,
SUM(CASE WHEN week_number = 8 THEN 1 ELSE 0 END) AS week_8,
SUM(CASE WHEN week_number = 9 THEN 1 ELSE 0 END) AS week_9
FROM with_week_number
GROUP BY 1
ORDER BY 1
But let say now I don't care that much about first time/user-level analysis and I only want to see if my login action increases over time (i.e I want to add up logins of the first cohort during week 2 with logins of the second cohort in week 1). Is there a simple/elegant way to do this?
Edit:
Giving an example below
WeekStart Week1 Week2 Week 3
2017/05/03 66 **53** **49**
2017/05/10 (**53**+74) (**49**+70) **65**
2017/05/17 (**49**+ 70 + 45) (**65** + 80) etc.
I think you need to group by login_week instead of first_week so you count all logins during the given week in every row, not by cohort, and then you have to use >= instead of = so it will sum up this week's cohort with all older cohorts in any given row.
WITH
by_week AS (
SELECT
user_id,
TD_DATE_TRUNC('week', login_time) AS login_week
FROM logins
GROUP BY 1, 2
)
,with_first_week AS (
SELECT
user_id,
login_week,
FIRST_VALUE(login_week) OVER (PARTITION BY user_id ORDER BY login_week) AS first_week
FROM by_week
)
,with_week_number AS (
SELECT
user_id,
login_week,
first_week,
(login_week - first_week) / (24 * 60 * 60 * 7) AS week_number
FROM with_first_week
)
SELECT
TD_TIME_FORMAT(login_week, 'yyyy-MM-dd') AS login_week,
SUM(CASE WHEN week_number>= 1 THEN 1 ELSE 0 END) AS week_1,
SUM(CASE WHEN week_number>= 2 THEN 1 ELSE 0 END) AS week_2,
SUM(CASE WHEN week_number>= 3 THEN 1 ELSE 0 END) AS week_3,
SUM(CASE WHEN week_number>= 4 THEN 1 ELSE 0 END) AS week_4,
SUM(CASE WHEN week_number>= 5 THEN 1 ELSE 0 END) AS week_5,
SUM(CASE WHEN week_number>= 6 THEN 1 ELSE 0 END) AS week_6,
SUM(CASE WHEN week_number>= 7 THEN 1 ELSE 0 END) AS week_7,
SUM(CASE WHEN week_number>= 8 THEN 1 ELSE 0 END) AS week_8,
SUM(CASE WHEN week_number>= 9 THEN 1 ELSE 0 END) AS week_9
FROM with_week_number
GROUP BY 1
ORDER BY 1;