How to extract random dates targets/sales data from monthly targets - sql

Question

I have monthly targets defined for the different category of items for the complete year.
Example:
January Target for A Category - 15,000
January Target for R Category - 10,000
January Target for O Category - 5,000
Actual Sales for A Category January - 18,400
Actual Sales for R Category January - 8,500
Actual Sales for O Category January - 3,821
The SQL query to compare actual sales with target will be simple as follows:
SELECT TO_CHAR (Sales_Date, 'MM') Sales_Month,
Sales_Category,
SUM (Sales_Value) Sales_Val_Monthly,
Target_Month,
Target_Category,
Target_Value
FROM Sales_Data, Target_Data
WHERE TO_CHAR (Sales_Date, 'MM') = Target_Month
AND Sales_Category = Target_Category
GROUP BY TO_CHAR (Sales_Date, 'MM'),
Target_Month,
Target_Category,
Sales_Category,
Target_Value;
Now I have a requirement that user will input FROM_DATE and TILL_DATE in the report parameter and the starting/ending date can be random, it will not represent a complete month or week, the start date can be 12/01/2018 and end date can be 15/01/2018, i.e., data for 4 days. The result should calculate the actual data for 4 days, calculate the target for 4 days considering the fact that there will be 6 working days (Sunday is a holiday) and if the date range includes Sunday, it should not be considered.
Also, the number of days in a month should be considered and the date parameters may contain some days from one month and some days from another month or maybe more than one month.
Target_Table (Target_Data)
Target_Year Target_Month Target_Category Target_Value
2018 01 A 15000
2018 02 A 8500
2018 03 A 9500
2018 01 R 15000
2018 02 R 8500
2018 03 R 9500
2018 01 O 15000
2018 02 O 8500
2018 03 O 9500
Sales Table (Sales_Data)
Inv_Txn Inv_No Sales_Date Item_Code Sales_Category Qty Rate Sales_Value Inv_Locn Inv_SM_ID
A21 2018000001 02/01/2018 XXXX A 2 5.5 11 O001 XXXX
R32 2018000001 27/02/2018 XXXX R 3 9.5 28.5 O305 XXXX
O98 2018000001 12/03/2018 XXXX O 12 12.5 150 O901 XXXX
U76 2018000001 18/01/2018 XXXX A 98 5.5 539 O801 XXXX
B87 2018000001 19/02/2018 XXXX R 2 9.5 19 O005 XXXX
A21 2018000002 13/03/2018 XXXX R 45 9.5 427.5 O001 XXXX
B87 2018000002 14/03/2018 XXXX O 12 12.5 150 O005 XXXX
Desired Output (From Date: 27/02/2018 Till Date: 06/03/2018)
Target_Category Target_Value Sales_Value
A 87.52 21.88
A 96.25 24.06
A 74.25 18.56
R 100.25 25.06
R 800.2 200.05
R 25.1 6.28
O 75.5 18.88
O 98.1 24.53
O 25.5 6.38

Answer 1

The first step might be to see whether we can get the number of Sundays in a given month. As it turns out, we can - and we don't have to use any SQL tricks or PL/SQL:
SELECT EXTRACT( DAY FROM LAST_DAY(SYSDATE) ) AS month_day_cnt
, CEIL( ( LAST_DAY(TRUNC(SYSDATE, 'MONTH')) - NEXT_DAY(TRUNC(SYSDATE, 'MONTH')-1, 'SUN') + 1 ) / 7 ) AS sunday_cnt
FROM dual;
This will give us the number of days in a given month as well as the number of Sundays. All we need to do is subtract the latter number from the former to get the number of working days. We can work that into your initial query (by the way, I suggest using TRUNC() instead of TO_CHAR() since your users might want a date range that spans more than one calendar year):
SELECT TRUNC(s.Sales_Date, 'MONTH') AS Sales_Month
, EXTRACT( DAY FROM LAST_DAY( TRUNC(s.Sales_Date, 'MONTH') ) ) - CEIL( ( LAST_DAY(TRUNC(s.Sales_Date, 'MONTH')) - NEXT_DAY(TRUNC(s.Sales_Date, 'MONTH')-1, 'SUN') + 1 ) / 7 ) AS working_day_cnt
, s.Sales_Category, SUM(s.Sales_Value) AS Sales_Val_Monthly
, t.Target_Value -- Target_Month and Target_Category are superfluous
FROM Sales_Data s INNER JOIN Target_Data t
ON TO_CHAR(s.Sales_Date, 'MM') = t.Target_Month
AND TO_CHAR(s.Sales_Date, 'YYYY') = t.Target_Year
AND s.Sales_Category = t.Target_Category
GROUP BY TRUNC(s.Sales_Date, 'MONTH'), Sales_Category, Target_Value;
Now given a start date and an end date, we can generate the number of working days for all the months in between those dates as follows:
SELECT TRUNC(range_dt, 'MONTH'), COUNT(*) FROM (
SELECT start_dt + LEVEL - 1 AS range_dt
FROM dual
CONNECT BY start_dt + LEVEL - 1 < end_dt
) WHERE TO_CHAR(range_dt, 'DY') != 'SUN'
GROUP BY TRUNC(range_dt, 'MONTH');
where start_dt and end_dt are parameters supplied by the user. Putting this all together, we'll have something like the following:
WITH rd ( range_month, range_day_cnt ) AS (
SELECT TRUNC(range_dt, 'MONTH'), COUNT(*) FROM (
SELECT start_dt + LEVEL - 1 AS range_dt
FROM dual
CONNECT BY start_dt + LEVEL - 1 < end_dt
) WHERE TO_CHAR(range_dt, 'DY') != 'SUN'
GROUP BY TRUNC(range_dt, 'MONTH')
)
SELECT range_month, Sales_Category, Sales_Val_Monthly
, range_day_cnt, working_day_cnt, Target_Value
, Target_Value*range_day_cnt/working_day_cnt AS prorated_target_value
FROM (
SELECT r.range_month, r.range_day_cnt
, EXTRACT( DAY FROM LAST_DAY( TRUNC(s.Sales_Date, 'MONTH') ) ) - CEIL( ( LAST_DAY(TRUNC(s.Sales_Date, 'MONTH')) - NEXT_DAY(TRUNC(s.Sales_Date, 'MONTH')-1, 'SUN') + 1 ) / 7 ) AS working_day_cnt
, s.Sales_Category, SUM(s.Sales_Value) AS Sales_Val_Monthly
, t.Target_Value -- Target_Month and Target_Category are superfluous
FROM rd INNER JOIN Sales_Data s
ON rd.range_month = TRUNC(s.Sales_Date, 'MONTH')
INNER JOIN Target_Data t
ON TO_CHAR(s.Sales_Date, 'MM') = t.Target_Month
AND TO_CHAR(s.Sales_Date, 'YYYY') = t.Target_Year
AND s.Sales_Category = t.Target_Category
WHERE s.Sales_Date >= TRUNC(start_dt)
AND s.Sales_Date < TRUNC(end_dt+1)
GROUP BY r.range_month, r.range_day_cnt, s.Sales_Category, t.Target_Value
) ORDER BY range_month;
If you have a table of public holidays, then those will have to be factored in somewhere as well - both in the rd common table expression and from the calculation of working days. If the above doesn't give you a start on that then I can take a look again in a bit and see how the other holidays might be worked in.

Answer 2

You can calculate the number of working days between two dates using below query. I added a nonworking date via a table named: holiday_dates and created a series of dates from 12/01/2018 to 15/01. I remove those dates that are either Sunday or holiday. Please let me know if it works for you. Thanks.
create table holiday_dates(holiday_dte date, holiday_desc varchar(100));
insert into holiday_dates values(TO_DATE('13/01/2018','DD-MM-YYYY'), 'Not a Working Day');
With tmp as (
select count(*) as num_of_working_days
from ( select rownum as rn
from all_objects
where rownum <= to_date('15/01/2018','DD-MM-YYYY') - to_date('12/01/2018','DD-MM-YYYY')+1 )
where to_char( to_date('12/01/2018','DD-MM-YYYY')+rn-1, 'DY' ) not in ( 'SUN' )
and not exists ( select null from holiday_dates where holiday_dte = trunc(to_date('12/01/2018','DD-MM-YYYY') + rn - 1)))
SELECT TO_CHAR (Sales_Date, 'MM') Sales_Month,
Sales_Category,
SUM (Sales_Value) Sales_Val_Monthly,
Target_Month,
Target_Category,
Target_Value,
tmp.num_of_working_days
FROM Sales_Data, Target_Data, tmp
WHERE Sales_Date between to_date('12/01/2018','DD-MM-YYYY') and to_date('15/01/2018','DD-MM-YYYY')
AND Sales_Category = Target_Category
GROUP BY TO_CHAR (Sales_Date, 'MM'),
Target_Month,
Target_Category,
Sales_Category,
Target_Value;