Sql queries for date and year
Hi Friends,
I Have a view named - item_sales with 4 column
Item code
Item name
Transaction_YYYYMM (Date stored in YYYYMM format )
QTY_RECEIVED
QTY_SOLD
Sample data is
ITEM_CODE ITEM NAME TRANSACTION_YYYMM QTY_RECD QTY_SOLD
AX TSHIRT 201307 3000 2000
AX TSHIRT 201308 2000 500
AX TSHIRT 201309 1000 3000
CX XLSHIRT 201307 3000 2000
CX XLSHIRT 201308 3000 2500
CX XLSHIRT 201309 3000 2500
EVERY MONTH END I WILL RUN THIS QUERY TO FIND OUT THE BELOW DETAILS
1. TO FIND ITEM_NAME WISE - QTY_RECEIVED AND QTY_SOLD ( FOR CURRENT MONTH - EXAMPLE SEP )
2. TO FIND ITEM_NAME WISE - QTY_RECEIVED AND QTY_SOLD (FOR CURRENT YEAR EXAMPLE FROM JAN TO SEP )
OUTPUT FOR SEPTEMBER MONTH LOOK LIKE THIS
SEP-MONTH JAN TO SEP
ITEM_CODE ITEM_NAME QTY_RECEIVED QTY_SOLD QTY_RECEIVED QTY_SOLD
AX TSHIRT 1000 3000 6000 5500
CX XLSHIRT 3000 2000 9000 7000
Pls advise me how to write queries for this
Rdk
Just FYI, you *can* edit your own posts, you know
Rdk wrote:
Transaction_YYYYMM (Date stored in YYYYMM format )
First "problem". Don't store dates as string. Store them as dates. It will save you so much headache don't the road you won't believe it.
True, this is a view, so maybe not as critical - assuming the underlying *DATA* is actually a date.
1. TO FIND ITEM_NAME WISE - QTY_RECEIVED AND QTY_SOLD ( FOR CURRENT MONTH - EXAMPLE SEP )
2. TO FIND ITEM_NAME WISE - QTY_RECEIVED AND QTY_SOLD (FOR CURRENT YEAR EXAMPLE FROM JAN TO SEP )
So yeah, based on these requirements, I'd recommend you make that column a DATE, not a string. Dates are easier to parse for date-related logic - such as month by month as you need here.
Using that, here's one way to do it:
with w_data as (
select 'AX' item_code, 'TSHIRT ' item_name, to_date('20130701','yyyymmdd') trans_dt, 3000 qty_recd, 2000 qty_sold from dual union all
select 'AX' , 'TSHIRT ' , to_date('20130801','yyyymmdd') , 2000 , 500 from dual union all
select 'AX' , 'TSHIRT ' , to_date('20130901','yyyymmdd') , 1000 , 3000 from dual union all
select 'CX' , 'XLSHIRT' , to_date('20130701','yyyymmdd') , 3000 , 2000 from dual union all
select 'CX' , 'XLSHIRT' , to_date('20130801','yyyymmdd') , 3000 , 2500 from dual union all
select 'CX' , 'XLSHIRT' , to_date('20130901','yyyymmdd') , 3000 , 2500 from dual
w_base as (
select item_code, item_name, trans_dt, qty_recd, qty_sold,
sum(qty_recd) over (partition by item_code, trunc(trans_dt, 'MM')) mm_recd,
sum(qty_sold) over (partition by item_code, trunc(trans_dt, 'MM')) mm_sold,
sum(qty_recd) over (partition by item_code, trunc(trans_dt, 'YY')) yy_recd,
sum(qty_sold) over (partition by item_code, trunc(trans_dt, 'YY')) yy_sold,
row_number() over (partition by item_code order by trans_dt desc) rnum
from w_data d
Select item_code, item_name, mm_recd, mm_sold, yy_recd, yy_sold
from w_base
where rnum = 1
IT ITEM_NA MM_RECD MM_SOLD YY_RECD YY_SOLD
AX TSHIRT 1000 3000 6000 5500
CX XLSHIRT 3000 2500 9000 7000
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