Select Where Date Between - sql

I would like to SELECT a table calendar and combine the results with the days of the month.
I mean,
Table: Calendar
ID TEAM EMPLOYER START END
17 19 8 04/08/2014 18:01:00 11/08/2014 07:59:00
18 19 39 11/08/2014 18:01:00 18/08/2014 07:59:00
19 19 44 18/08/2014 18:01:00 25/08/2014 07:59:00
20 19 38 25/08/2014 18:01:00 01/09/2014 07:59:00
And I have a SELECT for the days of the month.
Select Days.Dt
From (Select Trunc(To_Date('2014', 'YYYY'), 'y') - 1 + Rownum Dt
From All_Objects
Where Rownum <= Add_Months(Trunc(To_Date('2014', 'YYYY'), 'y'), 12) -
Trunc(To_Date('2014', 'YYYY'), 'y')) Days
Where To_Char(Dt, 'mm/yyyy') = '08/2014'
What I want is something like this:
DAY EMPLOYER_END EMPLOYER_START
1 01/08/2014
2 02/08/2014
3 03/08/2014
4 04/08/2014 4
5 05/08/2014 4 4
6 06/08/2014 4 4
7 07/08/2014 4 4
8 08/08/2014 4 4
9 09/08/2014 4 4
10 10/08/2014 4 4
11 11/08/2014 4 39
12 12/08/2014 39 39
The employer starts at 18:01 (always) and end at 07:59 (always).
Does anyone know if it's possible?
And the way I can do that.
Thanks!

Your desired results do not match your sample data. However, I think you want something like this:
with dates as (
Select Days.Dt
From (Select Trunc(To_Date('2014', 'YYYY'), 'y') - 1 + Rownum Dt
From All_Objects
Where Rownum <= Add_Months(Trunc(To_Date('2014', 'YYYY'), 'y'), 12) -
Trunc(To_Date('2014', 'YYYY'), 'y')
) Days
Where To_Char(Dt, 'mm/yyyy') = '08/2014'
)
select d.dt,
sum(case when c.employer_start = d.ddt then 0 else 1 end) as employer_end,
sum(case when c.employer_end = d.dt then 1 else 0 end) as employer_start
from dates d left outer join
calendar c
on d.dt between c.employer_start and c.employer_end
group by d.dt
order by d.dt;

I guess this can be useful to you
WITH mindates AS
(SELECT TRUNC(MIN(startdate),'month') st_date,
TRUNC(MAX(enddate)) ed_date
FROM calendar
) ,
dates AS
(SELECT st_date+ rownum-1 AS dates_col
FROM mindates,
dual
CONNECT BY rownum <= (ed_date- st_date)+1
)
SELECT d.dates_col dates,
MIN((
CASE
WHEN d.dates_col=c.startdate
THEN NULL
ELSE c.employer
END)) AS employer_end,
MIN((
CASE
WHEN d.dates_col=c.enddate
THEN NULL
ELSE c.employer
END )) AS employer_start
FROM dates d
LEFT OUTER JOIN calendar c
ON d.dates_col BETWEEN c.startdate AND c.enddate
GROUP BY d.dates_col
ORDER BY d.dates_col;

Related

Calculate manual week number of year in Oracle SQL

i have a date column and along that i need to calculate another column in oracle for week number of they year, the weeks should be from sunday to saturday, starting first day of the year.
for example for current year
Week 1 : 1 Jan 2020 (Wednesday) - 4 Jan 2020(Saturday)
Week 2 : 5 Jan 2020 (Sunday) - 11 Jan 2020(Saturday)
. . . . .
Week 5 : 26 Jan 2020 (Sunday) - 1 Feb 2020 (Saturday)
and so on...
You need to write your own logic using a hierarchy query.
Something like the following:
SQL> SELECT WEEKNUMBER,
2 WEEK_START,
3 CASE WHEN WEEKNUMBER = 1 THEN FIRST_WEEKEND ELSE WEEK_START + 6 END AS WEEK_END
4 FROM
5 (SELECT
6 CASE
7 WHEN LEVEL = 1 THEN FIRST_DAY
8 ELSE FIRST_WEEKEND + ( LEVEL - 2 ) * 7 + 1
9 END AS WEEK_START,
10 FIRST_WEEKEND,
11 LEVEL AS WEEKNUMBER
12 FROM
13 ( SELECT
14 TRUNC(SYSDATE, 'YEAR') FIRST_DAY,
15 NEXT_DAY(TRUNC(SYSDATE, 'YEAR'), 'SATURDAY') FIRST_WEEKEND
16 FROM DUAL )
17 CONNECT BY
18 CASE WHEN LEVEL = 1 THEN FIRST_DAY
19 ELSE FIRST_WEEKEND + ( LEVEL - 2 ) * 7 + 1
20 END < ADD_MONTHS(TRUNC(SYSDATE, 'YEAR'), 12));
WEEKNUMBER WEEK_STAR WEEK_END
---------- --------- ---------
1 01-JAN-20 04-JAN-20
2 05-JAN-20 11-JAN-20
3 12-JAN-20 18-JAN-20
4 19-JAN-20 25-JAN-20
5 26-JAN-20 01-FEB-20
6 02-FEB-20 08-FEB-20
7 09-FEB-20 15-FEB-20
8 16-FEB-20 22-FEB-20
9 23-FEB-20 29-FEB-20
10 01-MAR-20 07-MAR-20
11 08-MAR-20 14-MAR-20
.......
.......
53 27-DEC-20 02-JAN-21
Cheers!!
One other option would be
with t as
(
select trunc(sysdate,'yyyy')+level-1 as day, to_char(trunc(sysdate,'yyyy')+level-1,'DY','NLS_DATE_LANGUAGE=AMERICAN') as weekday, level - 1 as lvl
from dual
connect by level <= 366
), t1 as
(
select case
when lvl = 0 then
day
else
case
when weekday = 'SUN' then
day
end
end as day1,
lvl
from t
), t2 as
(
select case
when weekday = 'SAT' then
day
end as day2,
lvl
from t
)
select concat( 'Week ', wk1) as week, day1, day2
from
(
select row_number() over (order by lvl) wk1, day1
from t1 where day1 is not null ) t1
left join
(
select row_number() over (order by lvl) wk2, day2
from t2 where day2 is not null ) t2
on wk2 = wk1
by using select .. from dual connect by level syntax and case..when expression to scan all the current year.
Demo

Count data per day between two dates

Hi i'm trying to count the total late remark per day between two dates inputs by the user.
for example:
ID NAME DATE_TIME REMARKS
1 Aa 2020-01-18 09:57:56 LATE
2 Aa 2020-01-18 10:57:56 LATE
3 Aa 2020-01-19 06:52:56
4 Aa 2020-01-19 09:57:56 LATE
5 Aa 2020-01-19 09:57:56 LATE
6 Aa 2020-01-21 09:57:56 Late
Expected result.
NAME DATE count
Aa 2020-01-18 2
Aa 2020-01-19 2
Aa 2020-01-20 0
Aa 2020-01-21 1
The Data type of DATE_TIME is varhcar2
this is my attemp but i dont know how to achive it.
Select Count(REMARKS) countBT from TBLACCESSLOGS WHERE To_date(DATE_TIME,'YYYY-MM-DD') between To_date('2020-02-18','YYYY-MM-DD') and To_date('2020-02-20','YYYY-MM-DD')
and i get error date format picture ends before converting entire input string pointing on DATE_TIME as i execute.
Hope someone help me with this.
Thank you in advance
Since you face the prospect that there may be missing dates within the range your looking for you need to generate an entry for each date in that range. You the join those dates with your table, counting the number of remarks column.
with date_parms as
(select to_date('&Start_Date','yyyy-mm-dd') start_date
, to_date('&End_Date','yyyy-mm-dd') end_date
from dual
)
, date_list as
(select start_date+lev-1 t_date
from date_parms
, ( select level lev
from dual
connect by level <= (select end_date - start_date + 1
from date_parms
)
)
)
select t_date "Date"
, name
, count(*) "Num Late"
from date_list dl
left join lates l on trunc(l.date_time) = dl.t_date and lower(l.remark) = 'late'
where 1=1 --lower(l.remark) = 'late'
group by trunc(t_time), name;
Note. Once the initial parameters (start and end dates) are converted to from strings to dates no further date-string manipulation is required.
Completely edited; this is a multi-step process, the real important SQL logic is in "THE_GOODS". THe generation of days is in "DAYS" and I took that from here: https://www.zetetic.net/blog/2009/2/12/generating-a-sequential-date-series-in-oracle.html -- I don't understand it much more than ctl-c/ctl-v.
"PERMS" makes the permutation of dates/names, then that is left-joined to THE_GOODS to get the counts. So for each combo of user and dates in range you get one row, and the count from THE_GOODS, or zero if there's no matching row.
to fiddle with it: http://sqlfiddle.com/#!4/42618/8
WITH DAYS AS
(SELECT TO_CHAR(TRUNC(TO_DATE('01-JAN-2020') + ROWNUM - 1, 'DD'), 'YYYY-MM-DD') AS ADAY
FROM (
SELECT ROWNUM FROM (
SELECT 1 FROM DUAL
CONNECT BY LEVEL <= (TO_DATE('08-JAN-2020') - TO_DATE('01-JAN-2020'))
)
)
),
THE_GOODS AS (
select name, to_char(DATE_TIME, 'YYYY-MM-DD') AS ADAY, count(*) AS HOW_MANY
from TBLACCESSLOGS
where trunc(DATE_TIME, 'DD') between to_date('2020-01-01', 'YYYY-MM-DD')
and to_date('2020-01-05', 'YYYY-MM-DD')
and remarks = 'LATE'
group by name, to_char(DATE_TIME, 'YYYY-MM-DD')
)
,
PERMS AS (
SELECT DISTINCT DAYS.ADAY, THE_GOODS.NAME
FROM DAYS
CROSS JOIN
THE_GOODS
)
SELECT p.NAME, p.ADAY, COALESCE(g.HOW_MANY, 0) AS HOWMANY
FROM PERMS p
LEFT JOIN THE_GOODS g
on p.ADAY = g.ADAY
and p.NAME = g.NAME
ORDER BY p.ADAY, g.NAME
Try this ..
SQL> select * from late_remarks;
ID NAME DATE_TIME REMARKS
-- -- ------------------- ----
1 Aa 2020-01-18 09:57:56 LATE
2 Aa 2020-01-18 10:57:56 LATE
3 Aa 2020-01-19 06:52:56
4 Aa 2020-01-19 09:57:56 LATE
5 Aa 2020-01-19 09:57:56 LATE
6 Aa 2020-01-21 09:57:56 LATE
6 rows selected.
SQL> with dates as (
2 select to_date('17-01-2020', 'DD-MM-YYYY') + level "DATE"
3 from dual
4 connect by level <= (to_date('21-01-2020', 'DD-MM-YYYY') - to_date('17-01-2020', 'DD-MM-YYYY'))
5 )
6 select 'Aa' name, d."DATE", count(lr.remarks) count from dates d
7 left outer join late_remarks lr
8 on d."DATE" = trunc(to_timestamp (lr.date_time, 'YYYY-MM-DD HH24:MI:SS'))
9 group by d."DATE"
10 order by d."DATE";
NAME DATE COUNT
-- --------- ----------
Aa 18-JAN-20 2
Aa 19-JAN-20 2
Aa 20-JAN-20 0
Aa 21-JAN-20 1
.. assuming name to be constant

Find out average loan taken by age group in specific ranges and display them in a table

Consider the following 2 tables:
customer( **c_id**, c_name, c_dob)
customer_loan_taken( **loan_no**, c_id, taken_date, loan_amount)
How to find out average loan taken by age group 20-25, 30-35, 40-45, and display them in a single table ?
The table contents are as follows:
customer table
C_ID C_NAME C_DOB
1 Jainam Jhaveri 17-FEB-93
2 Harsh Mehra 10-DEC-91
3 Mohit Desai 15-OCT-75
4 Raj Gupta 31-AUG-80
5 Yash Shah 24-NOV-85
6 Dishank Parikh 02-OCT-78
7 Chandni Jain 06-MAR-83
8 Bhavesh Prajapati 13-MAY-71
9 Priyank Khandelwal 18-JUN-86
10 Mihir Vora 11-NOV-95
customer_loan_taken table
LOAN_NO C_ID TAKEN_DAT LOAN_AMOUNT
1011 1 12-SEP-11 100000
1012 3 20-APR-10 200010
1013 4 15-OCT-12 150000
1014 5 04-JAN-13 2500005
1015 7 15-AUG-16 2600001
1016 8 21-DEC-16 3500000
1017 9 13-NOV-17 4000000
1018 10 05-MAR-18 1010100
This is working in Oracle 12c. The trick to figure out the age can differ on database as datediff is not working in oracle. So modify it accordingly
with customer( c_id, c_name, c_dob) as
(select 1,'A','31/01/1990' from dual union
select 2,'A','31/01/1980' from dual union
select 3,'C','31/01/1970' from dual union
select 4,'D','31/08/1990' from dual),
ag as
(select c.* ,
FLOOR(TRUNC(MONTHS_BETWEEN(SYSDATE, to_date(c_dob,'DD/MM/YYYY'))) /12) as age,
case when FLOOR(TRUNC(MONTHS_BETWEEN(SYSDATE, to_date(c_dob,'DD/MM/YYYY'))) /12) between 20 and 25 then '20-25' when
FLOOR(TRUNC(MONTHS_BETWEEN(SYSDATE, to_date(c_dob,'DD/MM/YYYY'))) /12) between 30 and 35 then '30-35' when
FLOOR(TRUNC(MONTHS_BETWEEN(SYSDATE, to_date(c_dob,'DD/MM/YYYY'))) /12) between 40 and 45 then '40-45'
end as agegroup from customer c
),
customer_loan_taken( loan_no, c_id, taken_date, loan_amount)
as
(
select 101,1,'01/01/1990',1000 from dual union
select 102,2,'01/01/1990',2000 from dual union
select 103,3,'01/01/1990',3000 from dual union
select 104,4,'01/01/1990',4000 from dual
)
select distinct(ag.agegroup),avg(loan_amount) from customer_loan_taken cl,ag
where ag.c_id=cl.c_id
group by ag.agegroup
;WITH cte AS (
SELECT CASE
WHEN DATEDIFF ("YY", c_dob, GETDATE()) > 20
AND DATEDIFF ("YY", c_dob, GETDATE()) <= 25 THEN '20-25'
WHEN DATEDIFF ("YY", c_dob, GETDATE()) > 25
AND DATEDIFF ("YY", c_dob, GETDATE()) <= 30 THEN '25-30'
WHEN DATEDIFF ("YY", c_dob, GETDATE()) > 30
AND DATEDIFF ("YY", c_dob, GETDATE()) <= 35 THEN '30-35'
END AS rangedate,
l.loan_amount
FROM customer
INNER JOIN customer_loan_taken l ON customer.c_id = l.c_id
)
SELECT rangedate,
AVG(loan_amount) average
FROM cte
GROUP BY rangedate
select avg(loan_amt) "LOAN_AVG",age_range from(
select l.loan_amount as loan_amt,
(case
when FLOOR((months_between(sysdate,to_CHAR(c.c_dob,'DD-MON-YYYY')))/12)
between 20 and 25 then '20-25'
when FLOOR((months_between(sysdate,to_CHAR(c.c_dob,'DD-MON-YYYY')))/12)
between 30 and 35 then '30-35'
when FLOOR((months_between(sysdate,to_CHAR(c.c_dob,'DD-MON-YYYY')))/12)
between 40 and 45 then '40-45'
else '46-90'
end) as age_range
from customer c,cust_loan_taken l
where c.C_ID=l.C_ID) a
group by age_range;

Count parts of total value as columns per row (pivot table)

I'm stuck with a seemingly easy query, but couldn't manage to get it working the last hours.
I have a table files that holds file names and some values like records in this file, DATE of creation (create_date), DATE of processing (processing_date) and so on. There can be multiple files for a create date in different hours and it is likely that they will not get processed in the same day of creaton, in fact it can even take up to three days or longer for them to get processed.
So let's assume I have these rows, as an example:
create_date | processing_date
------------------------------
2012-09-10 11:10:55.0 | 2012-09-11 18:00:18.0
2012-09-10 15:20:18.0 | 2012-09-11 13:38:19.0
2012-09-10 19:30:48.0 | 2012-09-12 10:59:00.0
2012-09-11 08:19:11.0 | 2012-09-11 18:14:44.0
2012-09-11 22:31:42.0 | 2012-09-21 03:51:09.0
What I want in a single query is to get a grouped column truncated to the day create_date with 11 additional columns for the differences between the processing_date and the create_date, so that the result should roughly look like this:
create_date | diff0days | diff1days | diff2days | ... | diff10days
------------------------------------------------------------------------
2012-09-10 | 0 2 1 ... 0
2012-09-11 | 1 0 0 ... 1
and so on, I hope you get the point :)
I have tried this and so far it works getting a single aggregated column for a create_date with a difference of - for example - 3:
SELECT TRUNC(f.create_date, 'DD') as created, count(1) FROM files f WHERE TRUNC(f.process_date, 'DD') - trunc(f.create_date, 'DD') = 3 GROUP BY TRUNC(f.create_date, 'DD')
I tried combining the single queries and I tried sub-queries, but that didn't help or at least my knowledge about SQL is not sufficient.
What I need is a hint so that I can include the various differences as columns, like shown above. How could I possibly achieve this?
That's basically the pivoting problem:
SELECT TRUNC(f.create_date, 'DD') as created
, sum(case TRUNC(f.process_date, 'DD') - trunc(f.create_date, 'DD')
when 0 then 1 end) as diff0days
, sum(case TRUNC(f.process_date, 'DD') - trunc(f.create_date, 'DD')
when 1 then 1 end) as diff1days
, sum(case TRUNC(f.process_date, 'DD') - trunc(f.create_date, 'DD')
when 2 then 1 end) as diff2days
, ...
FROM files f
GROUP BY
TRUNC(f.create_date, 'DD')
SELECT CreateDate,
sum(CASE WHEN DateDiff(day, CreateDate, ProcessDate) = 1 THEN 1 ELSE 0 END) AS Diff1,
sum(CASE WHEN DateDiff(day, CreateDate, ProcessDate) = 2 THEN 1 ELSE 0 END) AS Diff2,
...
FROM table
GROUP BY CreateDate
ORDER BY CreateDate
As you are using Oracle 11g you can also get desired result by using pivot query.
Here is an example:
-- sample of data from your question
SQL> create table Your_table(create_date, processing_date) as
2 (
3 select '2012-09-10', '2012-09-11' from dual union all
4 select '2012-09-10', '2012-09-11' from dual union all
5 select '2012-09-10', '2012-09-12' from dual union all
6 select '2012-09-11', '2012-09-11' from dual union all
7 select '2012-09-11', '2012-09-21' from dual
8 )
9 ;
Table created
SQL> with t2 as(
2 select create_date
3 , processing_date
4 , to_date(processing_date, 'YYYY-MM-DD')
- To_Date(create_date, 'YYYY-MM-DD') dif
5 from your_table
6 )
7 select create_date
8 , max(diff0) diff0
9 , max(diff1) diff1
10 , max(diff2) diff2
11 , max(diff3) diff3
12 , max(diff4) diff4
13 , max(diff5) diff5
14 , max(diff6) diff6
15 , max(diff7) diff7
16 , max(diff8) diff8
17 , max(diff9) diff9
18 , max(diff10) diff10
19 from (select *
20 from t2
21 pivot(
22 count(dif)
23 for dif in ( 0 diff0
24 , 1 diff1
25 , 2 diff2
26 , 3 diff3
27 , 4 diff4
28 , 5 diff5
29 , 6 diff6
30 , 7 diff7
31 , 8 diff8
32 , 9 diff9
33 , 10 diff10
34 )
35 ) pd
36 ) res
37 group by create_date
38 ;
Result:
Create_Date Diff0 Diff1 Diff2 Diff3 Diff4 Diff5 Diff6 Diff7 Diff8 Diff9 Diff10
--------------------------------------------------------------------------------
2012-09-10 0 2 1 0 0 0 0 0 0 0 0
2012-09-11 1 0 0 0 0 0 0 0 0 0 1

Oracle : break down multiple entries monthwise

i have data in table as below
start_date end_date amount
15-01-2012 25-01-2012 100
26-01-2012 10-02-2012 100
11-02-2012 29-02-2012 100
i want these entries to be break down monthwise as below
15-01 to 25-01 = 100
26-01 to 31-01 = 100/((10-02-2012 - 26-01-2012) +1 ) * ((31-01-2012 - 26-01-2012) + 1) = 37.5
so for period of 15-01-2012 to 31-01-2012 = 100 + 37.5 = 137.5
for month of february amount should be
01-02 to 10-02 = 100/((10-02-2012 - 26-01-2012) +1 ) * ((01-02-2012 - 10-02-2012) + 1) = 62.5
11-02 to 29-02 = 100
so for the february 01-02-2012 to 29-02-2012 = 62.5 + 100 = 162.5
so that final output should be
start_date end_date amount
15-01-2012 31-01-2012 137.5
01-02-2012 29-02-2012 162.5
is there any method to achieve this without using PLSQL
you can use a LAG function to determine the daily average between one row and a previous (sorted) row.
once you have a daily average, you can multiply by the number of days in the period.
all in the same sql statement.
I'm not sure how you want to calculate the values, but as a start, try to break the records monthly:
with dts as (select last_day(add_months(
to_date('20111201','yyyymmdd'),level)) ld,
add_months(
to_date('20111201','yyyymmdd'),level) sd
from dual connect by level < 12)
select case when start_date >= sd then start_date else sd end st_dt,
case when end_date <= ld then end_date else ld end en_dt, amount,
ld-sd days_in_month,
case when end_date <= ld then end_date else ld end-
case when start_date >= sd then start_date else sd end part
from t, dts
where (start_date >= sd and to_char(start_date, 'yyyymm') =
to_char(sd, 'yyyymm'))
or (end_date <= ld and to_char(end_date, 'yyyymm') =
to_char(ld, 'yyyymm'))
SQL> select * from q10315606;
START_DATE END_DATE AMOUNT
---------- ---------- ----------
2012-01-15 2012-01-25 100
2012-01-26 2012-02-10 100
2012-02-11 2012-02-29 100
SQL> with day_generator as
2 -- this block expands out every date in the entire date range
3 (
4 select min_start_date + level - 1 as date_value
5 from (select min(start_date) as min_start_date,
6 max(end_date) - min(start_date) + 1 as total_days
7 from q10315606
8 )
9 connect by level <= total_days
10 ),
11 range_averages as
12 -- this block generates a daily average for each date range
13 (
14 select start_date, end_date,
15 end_date - start_date + 1 as days_inclusive,
16 amount / (end_date - start_date + 1) as daily_amount
17 from q10315606
18 )
19 select start_date, end_date, sum(amount) as amount
20 from (
21 -- here we cast all the dates to the minimum and maximum value found in the month
22 select min(dg.date_value)
23 over (partition by last_day(dg.date_value) ) as start_date,
24 max(dg.date_value)
25 over (partition by last_day(dg.date_value) ) as end_date,
26 ra.daily_amount as amount
27 from range_averages ra,
28 day_generator dg
29 where dg.date_value between ra.start_date and ra.end_date
30 )
31 group by start_date, end_date
32* order by start_date, end_date
amusch#AGDEV:SQL> /
START_DATE END_DATE AMOUNT
---------- ---------- ----------
2012-01-15 2012-01-31 137.5
2012-02-01 2012-02-29 162.5
This is a try:
I had a join with months. If a row is on two months will be "duplicated", more precisely will by distributed on both months.
For every row*month I apply the formula amount/(days in current row) * (days in current month)
with months as
(select add_months('1-Jan-2012', level -1) as mon
from dual
connect by level < 12)
select mon, sum(amount)
from(
select
months.mon,
amount/(end_date - start_date +1)*
(case when trunc(start_date,'MM') = months.mon
then least(last_day(start_date), end_date) - start_date +1
else end_date - greatest(months.mon, start_date) +1
end) as amount
from your_table y
join months on
(months.mon between trunc(start_date,'MM') and trunc(end_date, 'MM'))
)
group by mon;
This code was tested and gives exactly your desired results.
I see A.B. Cade beat me to it, but here's my solution:
SQL> ALTER SESSION SET NLS_DATE_FORMAT = 'DD-MM-YYYY'
2 /
Session altered.
SQL> CREATE TABLE t (start_date DATE, end_date DATE, amount NUMBER);
Table created.
SQL> INSERT INTO t VALUES (TO_DATE('20120115','YYYYMMDD'),TO_DATE('20120125','YYYYMMDD'),100);
1 row created.
SQL> INSERT INTO t VALUES (TO_DATE('20120126','YYYYMMDD'),TO_DATE('20120210','YYYYMMDD'),100);
1 row created.
SQL> INSERT INTO t VALUES (TO_DATE('20120211','YYYYMMDD'),TO_DATE('20120229','YYYYMMDD'),100);
1 row created.
SQL>
Having set up some test data...
SQL> COL for_month FOR A9
SQL> COL pro_rated_start FOR A15
SQL> COL pro_rated_end FOR A13
SQL>
... and formatted some columns ...
SQL> WITH months AS (
2 SELECT TRUNC(MIN(start_date),'MM') min_start_month
3 , MONTHS_BETWEEN(TRUNC(MAX(end_date),'MM'),TRUNC(MIN(start_date),'MM')) + 1 mos
4 FROM t
5 )
6 , offset AS (
7 SELECT ROWNUM - 1 r
8 FROM (SELECT NULL
9 FROM DUAL
10 CONNECT BY LEVEL <= (SELECT mos FROM months))
11 )
12 , ranges AS (
13 SELECT ADD_MONTHS(months.min_start_month, offset.r) mo_start
14 , LAST_DAY(ADD_MONTHS(months.min_start_month, offset.r)) mo_end
15 FROM offset
16 , months
17 )
18 SELECT TO_CHAR(GREATEST(t.start_date,ranges.mo_start),'Mon YYYY') for_month
19 , MIN(GREATEST(t.start_date,ranges.mo_start)) pro_rated_start
20 , MAX(LEAST(t.end_date,ranges.mo_end)) pro_rated_end
21 , SUM(t.amount
22 * CASE
23 WHEN t.end_date < ranges.mo_end
24 AND t.start_date > ranges.mo_start
25 THEN 1
26 ELSE ((LEAST(t.end_date,ranges.mo_end)
27 - GREATEST(t.start_date,ranges.mo_start) + 1)
28 / (t.end_date - t.start_date + 1))
29 END) pro_rated_amount
30 FROM t
31 , ranges
32 WHERE t.start_date <= ranges.mo_end
33 AND t.end_date >= ranges.mo_start
34 GROUP BY TO_CHAR(GREATEST(t.start_date,ranges.mo_start),'Mon YYYY');
FOR_MONTH PRO_RATED_START PRO_RATED_END PRO_RATED_AMOUNT
--------- --------------- ------------- ----------------
Jan 2012 15-01-2012 31-01-2012 137.5
Feb 2012 01-02-2012 29-02-2012 162.5
SQL>