Here's an example of my table.
I need to do a query that shows those IDs who have 0 as a fee on one of two months (11 or 12) or both.
So from the example, I need to show ID 1,3,4 but not 2, like on the screenshot below.
I tried the query below:
SELECT
t1.id, t1.month, t1.fee, t2.id, t2.month, t2.fee
FROM
table t1, table t2
WHERE t1.id = t2.id
AND t1.month = '11'
AND t2.month = '12'
AND (t1.fee = 0 OR t2.fee = 0);
But with this query, I only see ID 1,3 but not ID 4. I guess it's because of t1.id = t2.id but no idea how to do otherwise.
You can use conditional aggregation. In Postgres, this can make use of the filter syntax:
SELECT t.id,
11 as month,
MAX(t.fee) FILTER (WHERE t.month = 11) as fee_11,
12 as month,
MAX(t.fee) FILTER (WHERE t.month = 12) as fee_12
FROM t
GROUP BY t.id
HAVING MAX(t.fee) FILTER (WHERE t.month = 11) = 0 OR
MAX(t.fee) FILTER (WHERE t.month = 12) = 0;
Note: The two month columns are redundant.
you need conditional aggregation
select id,month,max(case when month=11 then fee end) fee11,
max(case when month=12 then fee end) as fee12
from (
select * from table t1
where t1.id in ( select id from table where fee=0)
) a group by id,month
Sql ansi compliant query
SELECT id,
MAX(CASE WHEN MONTH = 11 THEN MONTH ELSE NULL END) AS month11,
MAX(CASE WHEN MONTH = 11 THEN fee ELSE NULL END) AS fee11,
MAX(CASE WHEN MONTH = 12 THEN MONTH ELSE NULL END) AS month12,
MAX(CASE WHEN MONTH = 12 THEN fee ELSE NULL END ) AS fee12
FROM t
GROUP BY id
HAVING ( MAX(CASE WHEN MONTH = 11 THEN fee ELSE NULL END) = 0 OR MAX(CASE WHEN MONTH = 12 THEN fee ELSE NULL END ) = 0 )
ORDER BY id
Related
I am trying to divide customers (contact_key) column who shopped in 2021 (A.TXN_MTH) into new and 'returning' with returning meaning that they had not shopped in the last 12 months (YYYYMM in X.Fiscal_mth_idnt column).
I am using CASE WHEN A.TXN_MTH = MIN(X.FISCAL_MTH_IDNT) THEN 'NEW' which is correct. The next case when should be when the max month before X.TXN_MTH is 12 or more months previous. I have added the 12 months part in the Where statement. Should I be nesting 3 CASE WHEN'S instead of WHERE?
SELECT
T.CONTACT_KEY
, A.TXN_MTH
, CASE WHEN A.TXN_MTH = MIN(X.FISCAL_MTH_IDNT) THEN 'NEW'
WHEN (MAX(CASE WHEN X.FISCAL_MTH_IDNT < A.TXN_MTH THEN X.FISCAL_MTH_IDNT ELSE NULL END)) THEN 'RETURNING'
END AS CUST_TYPE
FROM B_TRANSACTION T
INNER JOIN B_TIME X
ON T.TRANSACTION_DT_KEY = X.DATE_KEY
INNER JOIN A
ON A.CONTACT_KEY = T.CONTACT_KEY AND A.BU_KEY = T.BU_KEY
WHERE (MAX(CASE WHEN X.FISCAL_MTH_IDNT < A.TXN_MTH THEN X.FISCAL_MTH_IDNT ELSE NULL END)) < A.TXN_MTH - (date_format(add_months(concat_ws('-',substr(yearmonth,1,4),substr(yearmonth,5,2),'01'),-12),'yyyyMM')
GROUP BY
T.CONTACT_KEY
, TXN_MTH;
You have not described your tables, so assuming fiscal_mth_idnt is a DATE column then you can use the LAG analytic function to find the previous row's value:
SELECT contact_key,
txn_mth,
CASE
WHEN prev_fiscal_mth_idnt IS NULL
THEN 'NEW'
WHEN ADD_MONTHS(prev_fiscal_mth_idnt, 12) < fiscal_mth_idnt
THEN 'RETURNING'
ELSE 'CURRENT'
END AS cust_type
FROM (
SELECT T.CONTACT_KEY,
A.TXN_MTH,
yearmonth,
X.FISCAL_MTH_IDNT,
LAG(X.FISCAL_MTH_IDNT) OVER (
PARTITION BY T.CONTACT_KEY
ORDER BY X.FISCAL_MTH_IDNT
) AS prev_fiscal_mth_idnt
FROM B_TRANSACTION T
INNER JOIN B_TIME X
ON T.TRANSACTION_DT_KEY = X.DATE_KEY
INNER JOIN A
ON A.CONTACT_KEY = T.CONTACT_KEY AND A.BU_KEY = T.BU_KEY
)
WHERE yearmonth LIKE '2021%';
I'm trying to figure out if what I'm trying to do is possible. Instead of resorting to multiple queries on a table, I wanted to group the records by business date and id then group by the id and select one date for a field and another date for the other field.
SELECT
*
{AMOUNT FROM DATE}
{AMOUNT FROM OTHER DATE}
FROM (
SELECT
date,
id,
SUM(amount) AS amount
FROM
table
GROUP BY id, date
AS subquery
GROUP BY id
It seems that you're looking to do a pivot query. I usually use cross tabs for this. Based on the query you posted, it could look like:
SELECT
id,
SUM(CASE WHEN date = '20190901' THEN amount ELSE 0 END) AmountFromSept01,
SUM(CASE WHEN date = '20191001' THEN amount ELSE 0 END) AmountFromOct01
FROM (
SELECT
date,
id,
SUM(amount) AS amount
FROM
table
GROUP BY id, date
)AS subquery
GROUP BY id;
You could also use a CTE.
WITH CTE AS(
SELECT
date,
id,
SUM(amount) AS amount
FROM
table
GROUP BY id, date
)
SELECT
id,
SUM(CASE WHEN date = '20190901' THEN amount ELSE 0 END) AmountFromSept01,
SUM(CASE WHEN date = '20191001' THEN amount ELSE 0 END) AmountFromOct01
FROM CTE
GROUP BY id;
Or even be a rebel and do the operation directly.
SELECT
id,
SUM(CASE WHEN date = '20190901' THEN amount ELSE 0 END) AmountFromSept01,
SUM(CASE WHEN date = '20191001' THEN amount ELSE 0 END) AmountFromOct01
FROM CTE
GROUP BY id;
However, some people have tested for performance and found that pre-aggregating can improve performance.
If I understand you correctly, then you're just trying to pivot, but only with two particular dates:
select id,
date1 = sum(iif(date = '2000-01-01', amount, null)),
date2 = sum(iif(date = '2000-01-02', amount, null))
from [table]
group by id
I want to show top ten customers,sales,margin where customers is registred during this accounting year. The query takes about 65seconds to run and it is not accepted :-(
As you may see i am not good at sql and will be very happy for help to improve the query.
SELECT Top 10
AcTr.R3, Actor.Nm,
SUM(CASE WHEN AcTr.AcNo<='3999' THEN AcAm*-1 ELSE 0 END) AS Sales ,
SUM(AcAm*-1) AS TB
FROM AcTr, Actor
WHERE (Actor.CustNo = AcTr.R3) AND
(Actor.CustNo <> '0') AND
(Actor.CreDt >= '20180901') AND
(Actor.CreDt <= '20190430') AND
AcTr.AcYr = '2018' AND
AcTr.AcPr <= '8' AND
AcTr.AcNo>='3000' AND
AcTr.AcNo <= '4999'
GROUP BY AcTr.R3, Actor.Nm
ORDER BY Sales DESC
Welcome to the community. You have a good start, but future, it is more helpful if you can provide (as commented), the CREATE table declarations so users know the actual data types. Not always required, but helps.
As for your query layout, it is more common to show the JOIN syntax instead of WHERE showing relations between tables, but that comes in time and practice.
Indexes help and should be based on a combination of both WHERE/JOIN criteria AND Grouping fields. Also, if fields are numeric, then do not 'quote' them, just leave as numbers. For example, your AcYr, AcPr, AcNo. I would think that an account number really would be a string value vs number for accounting purposes.
I would suggest the following indexes on your tables
Table Index
Actr ( AcYr, AcPr, AcNo, R3 )
Actor ( CustNo, CreDt )
The Actr table I have the filtering criteria first and the R3 last to help optimize the GROUP BY. The Actor table by the customer number, then the CreDt (Create date??), and is it really a string, or is it a date field? If so, the date criteria would be something like '2018-09-01' and '2019-04-30'
select TOP 10
Actor.Nm,
PreSum.Sales,
PreSm.TB
from
( select
R3,
SUM(CASE WHEN AcTr.AcNo <= '3999'
THEN AcAm * -1 ELSE 0 END) AS Sales,
SUM( AcAm * -1) AS TB
from
Actr
where
AcTr.AcYr = 2018
AND AcTr.AcPr <= 8
AND AcTr.AcNo >= '3000'
AND AcTr.AcNo <= '4999'
GROUP BY
AcTr.R3 ) PreSum
JOIN Actor
on PreSum.R3 = Actor.CustNo
AND Actor.CustNo <> 0
AND Actor.CreDt >= '20180901'
AND Actor.CreDt <= '20190430'
order by
Sales DESC
Per latest inquiry / comment, wanting by year comparison and getting rid of the top 10 performers per a given time period.
select
Actor.Nm,
PreSum.Sales2018,
PreSum.Sales2019,
PreSum.TB2018,
PreSum.TB2019
from
( select
AcTr.R3,
SUM(CASE WHEN AcTr.AcYr = 2018
AND AcTr.AcNo <= '3999'
THEN AcAm * -1 ELSE 0 END) AS Sales2018,
SUM(CASE WHEN AcTr.AcYr = 2019 AND AcTr.AcNo <= '3999'
THEN AcAm * -1 ELSE 0 END) AS Sales2019,
SUM( CASE WHEN AcTr.AcYr = 2018
THEN AcAm * -1 else 0 end ) AS TB2018
SUM( CASE WHEN AcTr.AcYr = 2019
THEN AcAm * -1 else 0 end ) AS TB2019
from
Actr
where
AcTr.AcYr IN ( 2018, 2019 )
AND AcTr.AcPr <= 8
AND AcTr.AcNo >= '3000'
AND AcTr.AcNo <= '4999'
GROUP BY
AcTr.R3 ) PreSum
JOIN Actor
on PreSum.R3 = Actor.CustNo
AND Actor.CustNo <> 0
AND Actor.CreDt >= '20180901'
AND Actor.CreDt <= '20190430'
order by
Sales DESC
I have the following code which gives me production dates and production volumes for a thirty day period.
select
(case when trunc(so.revised_due_date) <= trunc(sysdate)
then trunc(sysdate) else trunc(so.revised_due_date) end) due_date,
(case
when (case when sp.pr_typ in ('VV','VD') then 'DVD' when sp.pr_typ in ('RD','CD')
then 'CD' end) = 'CD'
and (case when so.tec_criteria in ('PI','MC')
then 'XX' else so.tec_criteria end) = 'OF'
then sum(so.revised_qty_due)
end) CD_OF_VOLUME
from shop_order so
left join scm_prodtyp sp
on so.prodtyp = sp.prodtyp
where so.order_type = 'MD'
and so.plant = 'W'
and so.status_code between '4' and '8'
and trunc(so.revised_due_date) <= trunc(sysdate)+30
group by trunc(so.revised_due_date), so.tec_criteria, sp.pr_typ
order by trunc(so.revised_due_date)
The problem I have is where there is a date with no production planned, the date wont appear on the report. Is there a way of filling in the missing dates.
i.e. the current report shows the following ...
DUE_DATE CD_OF_VOLUME
14/04/2015 35,267.00
15/04/2015 71,744.00
16/04/2015 20,268.00
17/04/2015 35,156.00
18/04/2015 74,395.00
19/04/2015 3,636.00
21/04/2015 5,522.00
22/04/2015 15,502.00
04/05/2015 10,082.00
Note: missing dates (20/04/2015, 23/04/2015 to 03/05/2015)
Range is always for a thirty day period from sysdate.
How do you fill in the missing dates?
Do you need some kind of calendar table?
Thanks
You can get the 30-day period from SYSDATE as follows (I assume you want to include SYSDATE?):
WITH mydates AS (
SELECT TRUNC(SYSDATE) - 1 + LEVEL AS due_date FROM dual
CONNECT BY LEVEL <= 31
)
Then use the above to do a LEFT JOIN with your query (perhaps not a bad idea to put your query in a CTE as well):
WITH mydates AS (
SELECT TRUNC(SYSDATE) - 1 + LEVEL AS due_date FROM dual
CONNECT BY LEVEL <= 31
), myorders AS (
select
(case when trunc(so.revised_due_date) <= trunc(sysdate)
then trunc(sysdate) else trunc(so.revised_due_date) end) due_date,
(case
when (case when sp.pr_typ in ('VV','VD') then 'DVD' when sp.pr_typ in ('RD','CD')
then 'CD' end) = 'CD'
and (case when so.tec_criteria in ('PI','MC')
then 'XX' else so.tec_criteria end) = 'OF'
then sum(so.revised_qty_due)
end) CD_OF_VOLUME
from shop_order so
left join scm_prodtyp sp
on so.prodtyp = sp.prodtyp
where so.order_type = 'MD'
and so.plant = 'W'
and so.status_code between '4' and '8'
and trunc(so.revised_due_date) <= trunc(sysdate)+30
group by trunc(so.revised_due_date), so.tec_criteria, sp.pr_typ
order by trunc(so.revised_due_date)
)
SELECT mydates.due_date, myorders.cd_of_volume
FROM mydates LEFT JOIN myorders
ON mydates.due_date = myorders.due_date;
If you want to show a zero on "missing" dates instead of a NULL, use COALESCE(myorders.cd_of_volume, 0) AS cd_of_volume above.
what you can do is this :
creating a new table with all the days you need .
WITH DAYS AS
(SELECT TRUNC(SYSDATE) - ROWNUM DDD
FROM ALL_OBJECTS
WHERE ROWNUM < 365)
SELECT
DAYS.DDD
FROM
DAYS;
then full outer join between thoes table :
select DUE_DATE , CD_OF_VOLUME , DDD
from (
select
(case when trunc(so.revised_due_date) <= trunc(sysdate)
then trunc(sysdate) else trunc(so.revised_due_date) end) due_date,
(case
when (case when sp.pr_typ in ('VV','VD') then 'DVD' when sp.pr_typ in ('RD','CD')
then 'CD' end) = 'CD'
and (case when so.tec_criteria in ('PI','MC')
then 'XX' else so.tec_criteria end) = 'OF'
then sum(so.revised_qty_due)
end) CD_OF_VOLUME
from shop_order so
left join scm_prodtyp sp
on so.prodtyp = sp.prodtyp
where so.order_type = 'MD'
and so.plant = 'W'
and so.status_code between '4' and '8'
and trunc(so.revised_due_date) <= trunc(sysdate)+30
group by trunc(so.revised_due_date), so.tec_criteria, sp.pr_typ
order by trunc(so.revised_due_date)
) full outer join NEW_TABLE new on ( new .DDD = DUE_DATE )
where new .DDD between /* */ AND /* */ /* pick your own limit) */
you can get the gaps by using connect by and a left join:
assuming your schema is:
create table tbl(DUE_DATE date, CD_OF_VOLUME float);
insert into tbl values(to_date('14/04/2015','DD/MM/YYYY'),35267.00);
insert into tbl values(to_date('15/04/2015','DD/MM/YYYY'),71744.00);
insert into tbl values(to_date('16/04/2015','DD/MM/YYYY'),20268.00);
insert into tbl values(to_date('17/04/2015','DD/MM/YYYY'),35156.00);
insert into tbl values(to_date('18/04/2015','DD/MM/YYYY'),74395.00);
insert into tbl values(to_date('19/04/2015','DD/MM/YYYY'),3636.00);
insert into tbl values(to_date('21/04/2015','DD/MM/YYYY'),5522.00);
insert into tbl values(to_date('22/04/2015','DD/MM/YYYY'),15502.00);
insert into tbl values(to_date('04/05/2015','DD/MM/YYYY'),10082.00);
you can say:
with cte as
(
select (select min(DUE_DATE)-1 from tbl)+ level as dt
from dual
connect by level <= (select max(DUE_DATE)-min(DUE_DATE) from tbl)
)
select to_char(c.dt,'DD/MM/YYYY') gap,null volume
from cte c
left join tbl t on c.dt=t.DUE_DATE
where t.DUE_DATE is null
order by c.dt
Result:
GAP VOLUME
20/04/2015 (null)
23/04/2015 (null)
24/04/2015 (null)
25/04/2015 (null)
26/04/2015 (null)
27/04/2015 (null)
28/04/2015 (null)
29/04/2015 (null)
30/04/2015 (null)
01/05/2015 (null)
02/05/2015 (null)
03/05/2015 (null)
Notice: you can implement this in your original query, one simplest way is to wrap your query and use it as a subquery instead of tbl in above code snippet.
I need to complete the following but need to SUM on EntryValue where EntryType= 'C' - EntryType = 'D' but not sure where to include it.
SELECT SUM(EntryValue) AS EntryValue, Left(Warehouse,1) AS Branch
FROM GenJournalDetail INNER JOIN InvJournalCtl ON (GenJournalDetail.GlPeriod = InvJournalCtl.LedgPeriod) AND (GenJournalDetail.GlYear = InvJournalCtl.YearPostLedg) AND (GenJournalDetail.Journal = InvJournalCtl.GlJournal)
WHERE GenJournalDetail.GlCode = 'Z5207550' AND GlYear = '2011' AND GlPeriod = '10'
GROUP BY Left(InvJournalCtl.Warehouse,1)
Select it then group it;
SELECT SUM(EntryValue) AS EntryValueTotal, EntryType, Left(Warehouse,1) AS Branch
...
GROUP BY Left(InvJournalCtl.Warehouse,1), EntryType
Edit I didn't realise you wanted to deduct;
SELECT
SUM(CASE EntryType
WHEN 'C' THEN EntryValue
ELSE 0 END
)
-
SUM(CASE EntryType
WHEN 'D' THEN EntryValue
ELSE 0 END
) AS EntryValueTotal,
Left(Warehouse,1) AS Branch
FROM GenJournalDetail
INNER JOIN InvJournalCtl ON (GenJournalDetail.GlPeriod = InvJournalCtl.LedgPeriod) AND (GenJournalDetail.GlYear = InvJournalCtl.YearPostLedg) AND (GenJournalDetail.Journal = InvJournalCtl.GlJournal)
WHERE
GenJournalDetail.GlCode = 'Z5207550' AND GlYear = '2011' AND GlPeriod = '10'
GROUP BY Left(InvJournalCtl.Warehouse,1)
If you need to sum the column add it in the select and group:
SELECT SUM(EntryValue) AS TotEntry, ...
...
GROUP BY ...
you don't need to group an aggregated column; you need to filter query too?