Filling the gap with previous data and newdate...

Question

input data
GLOBAL_NAME     PRODUCT_MODEL     TRX_TYPE     POS_DATE     QUANTITY
ABC          MAW3147NC     POS          3/17/2008     111
ABC          MAW3147NC     POS          4/14/2008     100
ABC          MAW3147NC     POS          5/26/2008     200
ABC          MAW3147NC     SHIPMENT     3/17/2008     222
ABC          MAW3147NC     SHIPMENT     4/7/2008     40
ABC          MAW3147NC     SHIPMENT     4/14/2008     80
ABC          MAW3147NC     SHIPMENT     4/21/2008     160
ABC          MAW3147NC     SHIPMENT     4/28/2008     162
ABC          MAW3147NC     SHIPMENT     5/19/2008     182
ABC          MAW3147NC     SHIPMENT     5/26/2008     262output
GLOBAL_NAME     PRODUCT_MODEL     TRX_TYPE     POS_DATE     QUANTITY
ABC          MAW3147NC     POS          3/17/2008     111
ABC          MAW3147NC     POS          3/24/2008     111 --> previous record values but pos_date should be next monday
ABC          MAW3147NC     POS          3/31/2008     111--> previous record values but pos_date should be next monday
ABC          MAW3147NC     POS          4/7/2008     111--> previous record values but pos_date should be next monday
ABC          MAW3147NC     POS          4/14/2008     100
ABC          MAW3147NC     POS          4/21/2008     100--> previous record values but pos_date should be next monday
ABC          MAW3147NC     POS          4/28/2008     100--> previous record values but pos_date should be next monday
ABC          MAW3147NC     POS          5/05/2008     200
ABC          MAW3147NC     SHIPMENT     3/17/2008     222
ABC          MAW3147NC     SHIPMENT     3/24/2008     222--> previous record values but pos_date should be next monday
ABC          MAW3147NC     SHIPMENT     3/31/2008     222--> previous record values but pos_date should be next monday
ABC          MAW3147NC     SHIPMENT     4/7/2008     40
ABC          MAW3147NC     SHIPMENT     4/14/2008     80
ABC          MAW3147NC     SHIPMENT     4/21/2008     160
ABC          MAW3147NC     SHIPMENT     4/28/2008     162
ABC          MAW3147NC     SHIPMENT     5/05/2008     162--> previous record values but pos_date should be next monday
ABC          MAW3147NC     SHIPMENT     5/12/2008     162--> previous record values but pos_date should be next monday
ABC          MAW3147NC     SHIPMENT     5/19/2008     182
ABC          MAW3147NC     SHIPMENT     5/26/2008     262all posdates are monday dates?
any ideas?

Answer 1

In other words that monday is missing from the original data set, so you are missing mondays and want to recover them by copying the data down from the last existing monday.
Here's some code that you can modify that will do just that. SEQ_WITH_GAPS and X correspond to the original data with gaps, while SEQ_WITH_NO_GAPS and COPY is the data you are looking for. You just need to define the source of your filler data to provide all the dates of interest and join it to your POS_DATE column and replicate the copy column for each of the columns of your original data that you want to copy.
WITH mydata AS
    ( SELECT level x, sum(level) over (order by level) seq_with_gaps
        FROM dual CONNECT BY level < 5
  , filler AS
    ( SELECT level seq_with_no_gaps FROM dual CONNECT BY level <= 12
SELECT seq_with_gaps
  , x
  , seq_with_no_gaps
  , last_value( x ignore nulls ) over( order by f.seq_with_no_gaps ) copy
   FROM mydata d
RIGHT JOIN filler f
     ON d.seq_with_gaps=f.seq_with_no_gaps
SEQ_WITH_GAPS    X                     SEQ_WITH_NO_GAPS    COPY                
1                1                     1                   1                   
                                       2                   1                   
3                2                     3                   2                   
                                       4                   2                   
                                       5                   2                   
6                3                     6                   3                   
                                       7                   3                   
                                       8                   3                   
                                       9                   3                   
10               4                     10                  4                   
                                       11                  4                   
                                       12                  4                   
12 rows selected