Dimension Table contents are different after cube copy - why?

To all,
I'm doing some work on a cube based on some bad dimensioning in it's original design.  We're running BI 3.50 - The original cube is INV_C01 - here is the table contents based upon SAP_INFOCUBE_DESIGNS report -
INV_C01            rows:    243,680    density:              0.0  %            
INV_C01            /BIC/DINV_C011      rows:        307    ratio:          0  %
INV_C01            /BIC/DINV_C012      rows:     17,617    ratio:          7  %
INV_C01            /BIC/DINV_C013      rows:         10    ratio:          0  %
INV_C01            /BIC/DINV_C014      rows:          9    ratio:          0  %
INV_C01            /BIC/DINV_C015      rows:         95    ratio:          0  %
INV_C01            /BIC/DINV_C016      rows:         40    ratio:          0  %
INV_C01            /BIC/DINV_C017      rows:          2    ratio:          0  %
INV_C01            /BIC/DINV_C018      rows:      1,737    ratio:          1  %
INV_C01            /BIC/DINV_C019      rows:      7,141    ratio:          3  %
INV_C01            /BIC/DINV_C01A      rows:      1,737    ratio:          1  %
INV_C01            /BIC/DINV_C01B      rows:      1,737    ratio:          1  %
INV_C01            /BIC/DINV_C01P      rows:          2    ratio:          0  %
INV_C01            /BIC/DINV_C01T      rows:         74    ratio:          0  %
INV_C01            /BIC/DINV_C01U      rows:         24    ratio:          0  %
INV_C01            /BIC/EINV_C01       rows:    243,680    ratio:        100  %
INV_C01            /BIC/FINV_C01       rows:          0    ratio:          0  %
The INV_C012 with a 7 % ratio (this is dev, production is much higher) is what I'm working to eliminate - it's too high.  I then made a copy of this cube and copied all the data to this copy with no structural changes.  I see this now in the copy -
INV_C01_C          rows:    194,720    density:              0.0  %           
INV_C01_C          /BIC/DINV_C01_C1    rows:        118    ratio:          0  %
INV_C01_C          /BIC/DINV_C01_C2    rows:      1,755    ratio:          1  %
INV_C01_C          /BIC/DINV_C01_C3    rows:         10    ratio:          0  %
INV_C01_C          /BIC/DINV_C01_C4    rows:          9    ratio:          0  %
INV_C01_C          /BIC/DINV_C01_C5    rows:         95    ratio:          0  %
INV_C01_C          /BIC/DINV_C01_C6    rows:         40    ratio:          0  %
INV_C01_C          /BIC/DINV_C01_C7    rows:          3    ratio:          0  %
INV_C01_C          /BIC/DINV_C01_C8    rows:      1,737    ratio:          1  %
INV_C01_C          /BIC/DINV_C01_C9    rows:      1,737    ratio:          1  %
INV_C01_C          /BIC/DINV_C01_CA    rows:      1,737    ratio:          1  %
INV_C01_C          /BIC/DINV_C01_CB    rows:      1,737    ratio:          1  %
INV_C01_C          /BIC/DINV_C01_CP    rows:          2    ratio:          0  %
INV_C01_C          /BIC/DINV_C01_CT    rows:         73    ratio:          0  %
INV_C01_C          /BIC/DINV_C01_CU    rows:         13    ratio:          0  %
INV_C01_C          /BIC/EINV_C01_C     rows:          0    ratio:          0  %
INV_C01_C          /BIC/FINV_C01_C     rows:    194,720    ratio:        100  %
Note that INV_C01_C2 now only has 1,755 rows, whereas the source cube has 17,617 rows.  Why is this?  I did a straight copy and the F table has approximately 50k less rows and this table is approx 10 percent of the source.
Any explaination would be appreciated.   Ken

Was data ever deleted from the first cube?  Either using selective deletion, or possilbly just the deletion of a Request.  Those dim IDs wouldn't be recreated in the cube copy. There is an RSRV test that checks for unused Dim IDs and can delete them if you want.
If you use the option to load packets in parallel, it can lead to multiple Dim IDs being created for the same characteristic combination.  There is an RSRV check for duplicate Dim IDs, which can eliminate the duplicate Dim IDs if you tell it to.
One other thin got keep in mind - SAP INFOCUBE_DESIGNS is using data from DB stats to provide the row counts, so if your DB stats for the dim table are not current, you could be seeing row counts that are old.

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