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
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;
I Have Query where I need to compare a amount field which has grouped by debit credit, I want to get the out put where the amount of credit is not equal to amount of debit the query is
select t_vocno,
sum(t_amt),
dc_type
from accotran
where f_yr = '1718'
and comp_cd = 'skl'
group by t_vocno,
dc_type
order by t_vocno
which gives output
1 215452.1600 D
1 215452.1600 C
2 207586.0000 D
2 207586.0000 C
3 248789.0000 D
3 248789.0000 C
I have very bid data so I want to put a having condition and get the data where debit <> credit
I have tried
select t_vocno,
sum(t_amt),
dc_type
from accotran
where f_yr = '1718'
and comp_cd = 'skl'
group by t_vocno,
dc_type
having case when dc_type= 'c' and t_vocno = t_vocno then sum(t_amt) end <>
case when dc_type= 'd' and t_vocno = t_vocno then sum(t_amt) end
order by t_vocno
You can GROUP BY just t_vocno and use conditional aggregation to calculate credit / debit sums:
select t_vocno,
sum(case when dc_type= 'c' then t_amt else 0 end) as c_sum,
sum(case when dc_type= 'd' then t_amt else 0 end) as d_sum
from accotran
where f_yr = '1718'
and comp_cd = 'skl'
group by t_vocno
having sum(case when dc_type= 'c' then t_amt else 0 end) <>
sum(case when dc_type= 'd' then t_amt else 0 end)
order by t_vocno
The below SQL query creates a table with n number of columns named in the next line.
...., curr_amount, tax_amount, ....
I am having a very tough time updating the below query to create a new column called total and position it exactly after tax_amount column and the total column should contain the values that are obtained after sum of curr_amount & tax_amount.
I have been working on this from more than one day but couldn't figure it out.
P.S. Still a noob here. Thanks alot for your time.
.
SELECT Isnull(t.total_month, 'Total') total_month,
t.tax_amount,
t.curr_amount,
t.usage_qty,
t.kh_qty,
t.bill_cnt
FROM (SELECT dbo.Sigmadf(bm.posted_date, 'YYYY-MM') total_month,
Sum(CASE
WHEN rr.usage_qty IS NULL THEN 0
ELSE Cast (rr.usage_qty AS NUMERIC(18, 2))
END) usage_qty,
Sum(CASE
WHEN bm.curr_amount IS NULL THEN 0
ELSE bm.curr_amount
END) curr_amount,
Sum(CASE
WHEN bm.adj_amount IS NULL THEN 0
ELSE bm.adj_amount
END) adj_amount,
Sum(CASE
WHEN bm.bal_fwd_amount IS NULL THEN 0
ELSE bm.bal_fwd_amount
END) bal_forward,
Sum(CASE
WHEN bm.tax_amount IS NULL THEN 0
ELSE bm.tax_amount
END) tax_amount,
Sum(CASE
WHEN bm.due_amount IS NULL THEN 0
ELSE bm.due_amount
END) due_amount,
Sum(CASE
WHEN bm.last_total_paid_amount IS NULL THEN 0
ELSE bm.last_total_paid_amount * -1
END) paid_amount,
Sum(CASE
WHEN bm.bill_print = 'Y' THEN 1
ELSE 0
END) pdf_cnt,
Sum(CASE
WHEN Isnull(bm.bill_handling_code, '0') = '0' THEN 1
ELSE 0
END) reg_cnt,
Sum(CASE
WHEN Isnull(bm.bill_handling_code, '0') = '1' THEN 1
ELSE 0
END) ftime_cnt,
Sum(CASE
WHEN Isnull(bm.bill_handling_code, '0') = '9999' THEN 1
ELSE 0
END) ltime_cnt,
Count(*) bill_cnt,
Sum(CASE
WHEN bill_status = '01' THEN 1
ELSE 0
END) canc_cnt,
Sum(CASE
WHEN bill_status = '01' THEN
CASE
WHEN rr.usage_qty IS NULL THEN 0
ELSE Cast (rr.usage_qty AS NUMERIC(18, 2))
END
ELSE 0
END) canc_usg,
Sum(CASE
WHEN vis.kh_qty IS NULL THEN 0
ELSE Cast(vis.kh_qty AS NUMERIC(18, 2))
END) kh_qty
FROM bill_master bm WITH (nolock)
INNER JOIN (SELECT bill_no,
Sum(CASE
WHEN vpb.recurr_charge_type IN ( 'T4',
'SLF' )
THEN
CASE
WHEN vpb.print_qty = 'Y'
AND vpb.usage_qty IS NOT NULL
THEN
Cast (vpb.usage_qty AS
NUMERIC(18, 2))
ELSE 0
END
ELSE 0
END) usage_qty
FROM v_print_bills_all vpb
GROUP BY bill_no) rr
ON rr.bill_no = bm.bill_no
LEFT OUTER JOIN vis_bill_master_cr vis WITH (nolock)
ON bm.bill_no = vis.bill_no
WHERE 1 = 1
AND dbo.Trunc(bm.posted_date) >= '20150101'
AND dbo.Trunc(bm.posted_date) <= '20151124'
AND bm.posted_date IS NOT NULL
AND bm.cust_id NOT IN (SELECT cc.code_type cust_id
FROM code_table cc WITH (nolock)
WHERE cc.code_tabname = 'RptExclCust'
AND cc.code_value = 'cust_id')
GROUP BY dbo.Sigmadf(bm.posted_date, 'YYYY-MM') WITH rollup)t
I must say that the explanation is not so clear.
From my understanding, you want the total of two columns.
So, wrap all your query between parenthesis, call it subQuery, and make the sum of the two columns on top:
SELECT subQuery.total_month as bill_date,
subQuery.curr_amount as amount,
subQuery.tax_amount tax,
subQuery.curr_amount + subQuery.tax_amount as [total],
...
FROM
(..your entire query here..) as subQuery
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.
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...