I have a table like this
TABLEMAIN
Q1 Name Group Zone Month Type
1 'N1' 'G1' 'Z1' 12 'T1'
4 'N1' 'G3' 'Z2' 12 'T6'
6 'N1' 'G1' 'Z5' 12 'T2'
3 'N2' 'G4' 'Z5' 12 'T4'
.
.
.
And I have something like this to get certain results
Query1:
select
(SUM(CASE Q1>=2 and Q1<=4 THEN 1 ELSE 0 END)) TOTAL,
(CASE WHEN Type = 'T1' THEN SUM(CASE WHEN Q1=4 THEN 1 ELSE 0 END)) T1TYPE,
(CASE WHEN Type = 'T1' THEN SUM(CASE WHEN Q1=4 THEN 1 ELSE 0 END)) T2TYPE,
Type,
**Zone,**
Month
from
TABLEMAIN
GROUP BY Type, **Zone,** Month;
Query2:
select
(SUM(CASE Q1>=2 and Q1<=4 THEN 1 ELSE 0 END)) TOTAL,
(CASE WHEN Type = 'T1' THEN SUM(CASE WHEN Q1=4 THEN 1 ELSE 0 END)) T1TYPE,
(CASE WHEN Type = 'T1' THEN SUM(CASE WHEN Q1=4 THEN 1 ELSE 0 END)) T2TYPE,
Type,
**Group,**
Month
from
TABLEMAIN
GROUP BY Type, **Group,** Month;
As you can see I group this table many times in many ways, but this part is the same in every query
select
(SUM(CASE Q1>=2 and Q1<=4 THEN 1 ELSE 0 END)) TOTAL,
(CASE WHEN Type = 'T1' THEN SUM(CASE WHEN Q1=4 THEN 1 ELSE 0 END)) T1TYPE,
(CASE WHEN Type = 'T1' THEN SUM(CASE WHEN Q1=4 THEN 1 ELSE 0 END)) T2TYPE,
Is there a better way to do this? I'm not sure if I can use a materialized view for this
Perhaps. You can do it all in one query, if you like by using grouping sets:
select SUM(CASE Q1>=2 and Q1<=4 THEN 1 ELSE 0 END) as TOTAL,
(CASE WHEN Type = 'T1' THEN SUM(CASE WHEN Q1=4 THEN 1 ELSE 0 END)) as T1TYPE,
(CASE WHEN Type = 'T1' THEN SUM(CASE WHEN Q1=4 THEN 1 ELSE 0 END)) as T2TYPE
Type, **Zone,**, **Group,** Month
from TABLEMAIN
GROUP BY GROUPING SETS((Type, **Zone,** Month), (Type, **Group,** Month));
This puts all the results in a single table.
I second with #GolezTrol comment. Would like to explain further.
SUBQUERY FACTORING is what you need. The WITH clause, or subquery factoring clause, is part of the SQL-99 standard and was added into the Oracle SQL syntax in Oracle 9.2. The WITH clause may be processed as an inline view or resolved as a temporary table. The advantage of the latter is that repeated references to the subquery may be more efficient as the data is easily retrieved from the temporary table, rather than being required by each reference.
WITH data AS(
<your subquery>
)
SELECT * FROM data
bla bla bla...
Related
I have a query that looks like this:
SELECT store_id,
(CASE WHEN txns_A>0 AND txns_B=0 THEN 'A Only' WHEN txns_A=0 AND txns_B>0 THEN 'B Only' END) A_B_indicator,
sum(1) cnt_customers,
sum(spend_A+spend_B)/sum(txns_A+txns_B) avg_receipt
FROM(
SELECT store_id, cust_id
SUM(CASE WHEN A_B_indicator='A' THEN spend else 0 end) spend_A,
SUM(CASE WHEN A_B_indicator='B' THEN spend else 0 end) spend_B,
SUM(CASE WHEN A_B_indicator='A' THEN spend else 0 end) txns_A,
SUM(CASE WHEN A_B_indicator='B' THEN spend else 0 end) txns_B
FROM table1
GROUP BY store_id, cust_id
) table2;
However, this generates an error because store_id is not in a GROUP BY clause. When I rewrite the query to include a GROUP BY store_id clause, it complains that the aggregate columns are not in the Group By. However, if I add them by rewriting the Group By to be Group BY 1,2,3,4, this also generates an error (Not yet supported place for UDAF Sum).
How can I rewrite this query to be error-free?
You can write this as:
SELECT store_id,
(CASE WHEN SUM(txns_A) > 0 AND SUM(txns_B) = 0 THEN 'A Only'
WHEN SUM(txns_A) = 0 AND SUM(txns_B) > 0 THEN 'B Only'
END) as A_B_indicator,
COUNT(*) as cnt_customers,
SUM(spend_A+spend_B)/sum(txns_A+txns_B) as avg_receipt
FROM (SELECT store_id, cust_id
SUM(CASE WHEN A_B_indicator='A' THEN spend else 0 end) as spend_A,
SUM(CASE WHEN A_B_indicator='B' THEN spend else 0 end) as spend_B,
SUM(CASE WHEN A_B_indicator='A' THEN spend else 0 end) as txns_A,
SUM(CASE WHEN A_B_indicator='B' THEN spend else 0 end) as txns_B
FROM table1
GROUP BY store_id, cust_id
) table2
GROUP BY store_id;
This question already has an answer here:
How to use an Alias in a Calculation for Another Field
(1 answer)
Closed 4 years ago.
select
category, count(category) as 'TotalCounts',
COUNT(case kind when 'avail'then 1 else null end) as 'avail',
Count(case kind when 'offers' then 1 else null end) as 'offers',
COUNT(CASE contactMethod WHEN 'SMS' then 1 else null END) as 'SMS',
COUNT(case contactMethod when 'call' then 1 else null end) as 'call',
CONVERT(varchar(254),COUNT (case when max_biz_status='A' OR
max_biz_status ='B' then 1 else null end) * 100 / count(category)) +'%'
as 'Percetange'
from reports
group by category
order by TotalCounts
Instead of calculating again in Convert method i want to use avail* 100 / TotalCounts like i did in order by when i used TotalCounts.
i tried:
CONVERT(varchar(254),avail * 100 / TotalCounts) +'%' as 'Percetange'
but i get 'invalid column name' for avail and TotalCounts
You can't do that because your TotalCounts column is made from your result set.
you can try to use a subquery to contain it then calculation.
if your mssql version support CONCAT function you can use it let the SQL clearer.
SELECT t1.*,CONCAT((max_biz_statusCnt * 100 /TotalCounts),'%')as 'Percetange'
FROM
(
select
category,
count(*) as 'TotalCounts',
COUNT(case kind when 'avail'then 1 else null end) as 'avail',
Count(case kind when 'offers' then 1 else null end) as 'offers',
COUNT(CASE contactMethod WHEN 'SMS' then 1 else null END) as 'SMS',
COUNT(case contactMethod when 'call' then 1 else null end) as 'call',
COUNT (case when max_biz_status='A' OR max_biz_status ='B' then 1 else null end) 'max_biz_statusCnt'
from reports
group by category
) t1
order by TotalCounts
You can't use avail or TotalCounts as you just created them, so they aren't in scope, using a common-table expression is one way to fix this:
WITH cte AS (
SELECT
category,
COUNT(category) AS TotalCounts,
COUNT(case kind WHEN 'avail' THEN 1 ELSE NULL END) AS avail,
COUNT(case kind WHEN 'offers' THEN 1 ELSE NULL END) AS offers,
COUNT(CASE contactMethod WHEN 'SMS' THEN 1 ELSE NULL END) AS SMS,
COUNT(case contactMethod WHEN 'call' THEN 1 ELSE NULL END) AS [call]
FROM
reports
GROUP BY
category)
SELECT
*,
CONVERT(varchar(254),avail * 100 / TotalCounts) +'%' AS Percetange --(sic)
FROM
cte
ORDER BY
TotalCounts;
Have a tableA like this:
I wanna receive a tableИ like this (group by startTime and endTime, count of Severity in cnt column and count of every type of Severity in a distinct column):
The simple count (cnt column) works fine. But with the other I tired CASE WHEN THEN logics and it seems not working (line 10 for example). Can you please assist me with SQL query in this case.
You need conditional aggregation :
select starttime, endtime, count(*),
sum(case when severity = 'low' then 1 else 0 end),
sum(case when severity = 'med' then 1 else 0 end),
sum(case when severity = 'high' then 1 else 0 end)
from table t
group by starttime, endtime;
Try below query: with case when
select starttime, endtime, count(severity) as cnt, count(case when severity='LOW' then 1 end) cnt_low,count(case when severity='MED' then 1 end) cnt_med,count(case when severity='HIGH' then 1 end) as cnt_high
from tablename
group by starttime, endtime
use case when and aggregate function sum
select startTime , endTime,count(*) as Cnt,
sum( case when Severity='MED' then 1 else 0 end) as cntMed,
sum( case when Severity='LOW' then 1 else 0 end) as cntLow,
sum( case when Severity='HIGH' then 1 else 0 end) as cntHIGH from yourtable
group by startTime , endTime
I want to do a query like:
select
count(asterisk) where acción='a'/count(asterisk) where acción='b' * 100
from
same_table
grouped by day
but I don't want use subquery, is it possible with joins?
I`m not sure the syntax is correct, but you can use something like this:
SELECT day,
SUM(CASE WHEN "acción" = 'a' THEN 1 ELSE 0 END) AS SUM_A,
SUM(CASE WHEN "acción" = 'b' THEN 1 ELSE 0 END) AS SUM_B,
SUM(CASE WHEN "acción" = 'a' THEN 1 ELSE 0 END) AS SUM_A / SUM(CASE WHEN "acción" = 'b' THEN 1 ELSE 0 END) * 100 AS result
FROM your_table
GROUP BY day
The concept is to actually sum the the values that you need, instead of count.
probably a very simple answer but i'm new to T-SQL so could do with some help!
I need a 3rd column that works out TotInc - (minus) TotEx to give me a TotalDisposableIncome
Here is my SQL:
--This gives me the Total Income and Total Expenditure on the same row
SELECT
SUM(CASE WHEN Type = '1' THEN Amount ELSE 0 END) as TotalInc,
SUM(CASE WHEN Type = '2' THEN Amount ELSE 0 END) as TotEx
FROM ClaimFinancials
Thanks!
You could use a Common Table Expression (CTE):
WITH T1 AS
(
SELECT
SUM(CASE WHEN Type = '1' THEN Amount ELSE 0 END) as TotalInc,
SUM(CASE WHEN Type = '2' THEN Amount ELSE 0 END) as TotEx
FROM ClaimFinancials
)
SELECT TotalInc, TotEx, TotalInc - TotEx AS TotalDisposableIncome
FROM T1
Or an ordinary subquery:
SELECT TotalInc, TotEx, TotalInc - TotEx AS TotalDisposableIncome
FROM
(
SELECT
SUM(CASE WHEN Type = '1' THEN Amount ELSE 0 END) as TotalInc,
SUM(CASE WHEN Type = '2' THEN Amount ELSE 0 END) as TotEx
FROM ClaimFinancials
) T1
You can't reference your column aliases elsewhere in your SELECT clause. Here is one alternative.
SELECT TotalInc, TotEx, TotInc - TotEx as TotalDisposable
FROM (
SELECT
SUM(CASE WHEN Type = '1' THEN Amount ELSE 0 END) as TotalInc,
SUM(CASE WHEN Type = '2' THEN Amount ELSE 0 END) as TotEx
FROM ClaimFinancials
) AS Total
There's more than one way to do it.
WITH T1 AS
(
SELECT
Type,
SUM(Amount as Total
FROM ClaimFinancials
)
SELECT
Inc.Total as TotalInc,
Ex.Total as TotEx,
Inc.Total - Ex.Total AS TotalDisposableIncome
FROM T1 Inc, T2 Ex
where T1.Type = 1 and T2.Type = 2
SELECT
SUM(CASE WHEN Type = '1' THEN Amount ELSE 0 END) as TotalInc,
SUM(CASE WHEN Type = '2' THEN Amount ELSE 0 END) as TotEx,
SUM(CASE
WHEN Type = '1' THEN Amount
WHEN Type = '2' Then -Amount
ELSE 0
END) AS TotalDisposableIncome
FROM ClaimFinancials