I am using SQL Server 2005.
How could I refactor this query?
SELECT Total, Installs, Service, tot.ls_chg_dte_ojb
FROM (SELECT COUNT(*) [Total], ls_chg_dte_ojb
FROM [COMPL_INST_SVC]
GROUP BY ls_chg_dte_ojb) tot
JOIN (SELECT COUNT(*) [Service], ls_chg_dte_ojb
FROM [COMPL_INST_SVC]
WHERE job_class_ojb = 'S'
GROUP BY ls_chg_dte_ojb) svc on svc.ls_chg_dte_ojb = tot.ls_chg_dte_ojb
JOIN (SELECT COUNT(*) [Installs], ls_chg_dte_ojb
FROM [COMPL_INST_SVC]
WHERE job_class_ojb in ('C', 'R')
GROUP BY ls_chg_dte_ojb) ins on ins.ls_chg_dte_ojb = tot.ls_chg_dte_ojb
It looks like the Total and Service counts are counting the same exact thing, so you'll need to fix that, but here's basically how you do the counts in a simpler way:
SELECT
COUNT(CASE WHEN job_class_ojb = 'S' THEN 1 END) AS [Total],
COUNT(CASE WHEN job_class_ojb = 'S' THEN 1 END) AS [Service],
COUNT(CASE WHEN job_class_ojb in ('C', 'R') THEN 1 END) AS [Installs]
FROM
[COMPL_INST_SVC]
Two of your sub-selects are the same. Ignoring the 'Service' one, try something along the lines of
SELECT
SUM(CASE WHEN job_class_ojb = 'S' THEN 1 ELSE 0 END) as Total,
SUM(CASE WHEN job_class_ojb = 'C' or
job_class_ojb = 'R' THEN 1 ELSE 0 END) as Installs
FROM COMPL_INST_SVC
I suspect that the Totals subquery should not include the WHERE job_class_ojb = 'S' condition - if so, I suggest:
SELECT COUNT(*) Total,
SUM(CASE WHEN job_class_ojb = 'S' THEN 1 ELSE 0 END) Service,
SUM(CASE WHEN job_class_ojb in ('C','R') THEN 1 ELSE 0 END) Installs,
ls_chg_dte_ojb
FROM COMPL_INST_SVC
GROUP BY ls_chg_dte_ojb
Related
I have two queries and I want to join them without creating a function. The first one gives me the result of my current balance. The result is 160€:
select sum(SESSIONS.PRICE) - sum(SESSIONS.AMOUNT) as v_diff
from SESSIONS
where SESSIONS.CLIENTS_ID =:P2002_ID
and SESSIONS.STATUS in (4,5);
The second query gives the extra payment. The result is 30€:
select sum(SESSIONS.AMOUNT) as v_extra_amount
from SESSIONS
where SESSIONS.CLIENTS_ID = :P2002_ID
and SESSIONS.STATUS = 1
and SESSIONS.PAYMENT_STATUS = 2;
So I want if it is possible one query to give me the amount of 130€! (160€ from the first one -30€ from the second).
Just use conditional aggregation:
select (sum(case when s.STATUS in (4, 5) then s.PRICE else 0 end) -
sum(case when s.STATUS in (4, 5) then s.AMOUNT else 0 end)
),
sum(case when s.STATUS = 2 then s.AMOUNT end)
into v_diff, v_extra_amount
from SESSIONS s
where s.CLIENTS_ID = :P2002_ID;
Or, if you want one value, just subtract:
select (sum(case when s.STATUS in (4, 5) then s.PRICE else 0 end) -
sum(case when s.STATUS in (4, 5) then s.AMOUNT else 0 end) -
sum(case when s.STATUS = 1 and s.PAYMENT_STATUS = 2 then s.AMOUNT end)
)
from SESSIONS s
where s.CLIENTS_ID = :P2002_ID;
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've two query from same table but by two condition but how can I make two column for this two conditional count.
SELECT Count(*) FROM TBL_FT WHERE STATUS = 'X';
SELECT Count(*) FROM TBL_FT WHERE STATUS = 'Y' and
LOGDATE>trunc(sysdate);
You can use conditional aggregation:
SELECT
COUNT(CASE WHEN STATUS = 'X' THEN 1 END),
COUNT(CASE WHEN STATUS = 'Y' AND LOGDATE > trunc(sysdate) THEN 1 END)
FROM TBL_FT
You can also add a WHERE clause:
WHERE STATUS IN ('X', 'Y');
you can use something like this -
SELECT SUM(CASE
WHEN STATUS = 'X' THEN
1
ELSE
0
END) FIRST_VAL,
SUM(CASE
WHEN STATUS = 'Y'
AND LOGDATE > TRUNC(SYSDATE) THEN
1
ELSE
0
END) second_val
FROM TBL_FT;
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 the below issues that I would like to address:
Is there a way to simplify the Total column?
The bottom row reads as null, I would like that to be "Total" as well.
Is it better to ROLLUP the way I have it, ROLLUP((status))? Or this is exactly same as ROLLUP(status)?
Below is my query:
SELECT
status AS "ROW LABELS",
COUNT(case when source = 'INTERNET' THEN 1 end) AS "INTERNET",
COUNT(case when source = 'SALES' THEN 1 end) AS "SALES",
COUNT(case when source = 'REP' THEN 1 end) AS "REP",
COUNT(case when source = 'COM' THEN 1 end) AS "COM",
(COUNT(case when source = 'INTERNET' THEN 1 end) +
COUNT(case when source = 'SALES' THEN 1 end) +
COUNT(case when source = 'REP' THEN 1 end) +
COUNT(case when source = 'COM' THEN 1 end)
) AS Total
FROM
SOMETABLE
GROUP BY ROLLUP((status))
order by 1;
Below is my data:
If by "simplify" you mean "make the calculation more succinct", then yes. The following will work:
COUNT(CASE WHEN source IN ('INTERNET', 'SALES', 'REP', 'COM') THEN 1 END)
Simply use nvl to convert the NULL to a value: NVL(status, 'TOTAL') AS row_labels
ROLLUP( (status) ) is the same as ROLLUP( status )