Need dependent column

Hi All,
Like all_dependencies is there any table to track the column usage also. (metadata)
Please share thoughts on hot to get this data for a view.
Thanks in advance,
VJ

That data isn't exposed in the (documented) data dictionary, at least not in 11.2. I wouldn't be surprised if it was available in some new data dictionary table/ column in 12.1. And, since Oracle can track column-level dependencies in 11.2, I would tend to wager that you could find this information somewhere in the x$ tables if you were sufficiently adventurous though I would strongly suggest against actually trying to pull information from undocumented tables.
Justin

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    12-JAN-11 PUR         1.000        10.000        37.425       374.250        10.000       374.250        37.425       374.25
    13-JAN-11 INV         1.000        -5.000        48.169      -240.845         5.000       133.405        37.425       187.125
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    15-JAN-11 INV         4.000       -10.000        32.600      -326.000        10.000       131.825        25.577       255.773
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    16-JAN-11 PUR         5.000        35.000        19.550       684.250        65.000      1262.675        21.333       1386.623
    18-JAN-11 INV         5.000        -8.000        28.000      -224.000        57.000      1038.675        21.333       1215.961
    22-JAN-11 INV         6.000       -12.000        32.600      -391.200        45.000       647.475        21.333       959.969
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    2) cost_of_sale = when qty is -nve (i.e. pcode = 'INV') then take (1 row)previous value of Avg.Price and multiply by sold qty of current row.
    3) bal_cost = when qty is +ve (i.e. pcode = 'PUR') then take (1 row)previous value bal_cost and add the trade_amt of current_row OR
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    4) avg.price = bal_cost / qty_on_hand
    just a link showing excel forumlas...http://www.flickr.com/photos/58335021@N07/5356642176/
    thank you..

    hii Etbin..thanks for your effort..but still the result is not as i want, above...
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           end cost_of_sale,  /* shown as an intermediate result - included in next case */
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                then lag(bal_cost) over (order by pdate) + lag(avg_price) over (order by pdate) * (- pqty)
                else lag(bal_cost) over (order by pdate) + trade_amt
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                then lag(bal_cost) over (order by pdate) + lag(avg_price) over (order by pdate) * (- pqty)
                else lag(bal_cost) over (order by pdate) + trade_amt
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    14/01/2011 PUR         3.000        15.000        21.628       324.420        20.000       457.825        22.891       343.369                     511.545        25.577
    15/01/2011 INV         4.000       -10.000        32.600      -326.000        10.000       131.825        22.891       228.913       228.913       572.281        57.228
    16/01/2011 PUR         4.000        20.000        22.330       446.600        65.000      1262.675        19.426       388.515                     675.513        10.393
    16/01/2011 PUR         5.000        35.000        19.550       684.250        65.000      1262.675        19.426       679.902                    1072.765        16.504
    18/01/2011 INV         5.000        -8.000        28.000      -224.000        57.000      1038.675        19.426       155.406       155.406       835.308        14.655
    22/01/2011 INV         6.000       -12.000        32.600      -391.200        45.000       647.475        18.222       218.668       233.109       388.515         8.634
    8 rows selected.any other thought..
    TY

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