我在编写表达式时遇到问题，该表达式将显示订单之间差距不超过一年的产品。因此，我可以将它们归类为常规订单。澄清我不想退回一年内订购超过一次的产品。
这是我的两张桌子：
SALES FACT TABLE
TIME_KEY PRODUCT_KEY BRANCH_KEY LOCATION_KEY POUNDS_SOLD AVG_SALES UNITS_SOLD
----------------------------- ----------- ---------- ------------ ----------- ---------- ----------
22-DEC-13 08.31.18.442000000 2 B1 L19 21542.39 10821.2 100
21-DEC-10 21.19.37.182000000 3 B8 L5 65487 32793.5 100
13-SEP-13 06.36.03.720000000 7 B2 L15 78541.84 39470.92 400
24-JUN-13 12.21.45.186000000 1 B7 L13 94115 47167.5 220
18-SEP-07 12.58.06.873000000 8 B2 L2 54000 27250 500
11-FEB-11 18.06.08.475000000 8 B9 L6 11123 5636.5 150
28-SEP-13 15.06.20.153000000 6 B3 L16 45896.31 23008.16 120
22-DEC-08 19.34.48.490000000 5 B6 L3 87451.01 43875.51 300
23-JUL-13 20.08.51.173000000 6 B6 L14 69542 34971 400
20-DEC-13 22.47.24.962000000 9 B4 L17 21584.39 10872.2 160
21-DEC-06 19.11.50.472000000 5 B10 L1 10000 27250 500
13-MAR-13 14.13.58.555000000 1 B2 L11 62413 31256 99
06-MAR-13 18.15.40.365000000 4 B6 L10 94785 47542.5 300
20-DEC-13 23.35.12.683000000 2 B5 L18 52359.19 26289.6 220
15-MAR-13 19.11.58.459000000 4 B9 L12 66499.84 33299.92 100
19-DEC-11 13.17.34.443000000 9 B2 L7 51449 26049.5 650
14-FEB-12 10.20.20.787000000 10 B5 L8 66589 33394.5 200
19-DEC-09 10.09.41.844000000 3 B7 L4 99125 49687.5 250
22-MAR-12 19.36.24.790000000 10 B2 L9 62331.66 31765.83 1200
11-JAN-14 19.18.58.595000000 7 B8 L20 35214.85 17667.43 120
PRODUCT DIMENSION TABLE
PRODUCT_KEY PRODUCT_NAME BRAND TYPE SUPPLIER_TYPE
----------- ------------------------- -------------------- ---------- ----------------
1 SVF1521P2EB SONY LAPTOP WHOLESALER
2 15-A003SA COMPAQ LAPTOP WHOLESALER
3 15-N271SA HP LAPTOP RETAIL
4 15-N290SA HP LAPTOP RETAIL
5 E6400 DELL LAPTOP RETAIL
6 SVF1521C2EB SONY LAPTOP WHOLESALER
7 SVF1532K4EB SONY LAPTOP WHOLESALER
8 C50-A-1CK TOSHIBA LAPTOP WHOLESALER
9 NX.MF8EK.001 ACER LAPTOP RETAIL
10 NP915S3G-K01UK SAMSUNG LAPTOP RETAIL
我假设要达到所需的输出，我需要比较日期等，但我正在努力。
答案 0 :(得分：1)
这对你有帮助吗？
select * from (
select
--row_number() over ( partition by product_key order by time_key ) as rn
--,lead(time_key) over ( partition by product_key order by time_key ) as l
lead(time_key) over ( partition by product_key order by time_key ) - time_key as diff
,a.*
from
(
select sysdate as TIME_KEY, 0 as PRODUCT_KEY, 'XX' as BRANCH_KEY, 'XX' as LOCATION_KEY, 0 as POUNDS_SOLD, 0 as AVG_SALES, 0 as UNITS_SOLD from dual union all
select to_date('22-DEC-13 08.31.18','DD-MON-YY HH24.MI.SS'), 2, 'B1', 'L19', 21542.39, 10821.2, 100 from dual union all
select to_date('21-DEC-10 21.19.37','DD-MON-YY HH24.MI.SS'), 3, 'B8', 'L5 ', 65487, 32793.5, 100 from dual union all
select to_date('13-SEP-13 06.36.03','DD-MON-YY HH24.MI.SS'), 7, 'B2', 'L15', 78541.84, 39470.92, 400 from dual union all
select to_date('24-JUN-13 12.21.45','DD-MON-YY HH24.MI.SS'), 1, 'B7', 'L13', 94115, 47167.5, 220 from dual union all
select to_date('18-SEP-07 12.58.06','DD-MON-YY HH24.MI.SS'), 8, 'B2', 'L2 ', 54000, 27250, 500 from dual union all
select to_date('11-FEB-11 18.06.08','DD-MON-YY HH24.MI.SS'), 8, 'B9', 'L6 ', 11123, 5636.5, 150 from dual union all
select to_date('28-SEP-13 15.06.20','DD-MON-YY HH24.MI.SS'), 6, 'B3', 'L16', 45896.31, 23008.16, 120 from dual union all
select to_date('22-DEC-08 19.34.48','DD-MON-YY HH24.MI.SS'), 5, 'B6', 'L3 ', 87451.01, 43875.51, 300 from dual union all
select to_date('23-JUL-13 20.08.51','DD-MON-YY HH24.MI.SS'), 6, 'B6', 'L14', 69542, 34971, 400 from dual union all
select to_date('20-DEC-13 22.47.24','DD-MON-YY HH24.MI.SS'), 9, 'B4', 'L17', 21584.39, 10872.2, 160 from dual union all
select to_date('21-DEC-06 19.11.50','DD-MON-YY HH24.MI.SS'), 5, 'B10', 'L1 ', 10000, 27250, 500 from dual union all
select to_date('13-MAR-13 14.13.58','DD-MON-YY HH24.MI.SS'), 1, 'B2', 'L11', 62413, 31256, 99 from dual union all
select to_date('06-MAR-13 18.15.40','DD-MON-YY HH24.MI.SS'), 4, 'B6', 'L10', 94785, 47542.5, 300 from dual union all
select to_date('20-DEC-13 23.35.12','DD-MON-YY HH24.MI.SS'), 2, 'B5', 'L18', 52359.19, 26289.6, 220 from dual union all
select to_date('15-MAR-13 19.11.58','DD-MON-YY HH24.MI.SS'), 4, 'B9', 'L12', 66499.84, 33299.92, 100 from dual union all
select to_date('19-DEC-11 13.17.34','DD-MON-YY HH24.MI.SS'), 9, 'B2', 'L7 ', 51449, 26049.5, 650 from dual union all
select to_date('14-FEB-12 10.20.20','DD-MON-YY HH24.MI.SS'), 10, 'B5', 'L8 ', 66589, 33394.5, 200 from dual union all
select to_date('19-DEC-09 10.09.41','DD-MON-YY HH24.MI.SS'), 3, 'B7', 'L4 ', 99125, 49687.5, 250 from dual union all
select to_date('22-MAR-12 19.36.24','DD-MON-YY HH24.MI.SS'), 10, 'B2', 'L9 ', 62331.66, 31765.83, 1200 from dual union all
select to_date('11-JAN-14 19.18.58','DD-MON-YY HH24.MI.SS'), 7, 'B8', 'L20', 35214.85, 17667.43, 120 from dual
) a ) where diff >= 365;