Selecting the records

hey guys i need ur help. I have columns with values in a table like this
flag -- reading --amount
Y --10 --300
N --40 --NULL
N --50 --NULL
Y --50 --200
N --50 --NULL
now i have to calculate the split_amount for each individual READING based on first value of AMOUNT .The amount should be split till you find the next flag set to 'Y' .the output should show like this
flag -- reading-- amount-- split_amount
Y --10 --300 --30
N --40 NULL  120
N --50 NULL  150
Y --50 --200 -- 100
N --50 NULL  100
can anyone help with a select query

Hi,
(1) I see the ordering column now. "Date" is a reserved word, and you're simply asking for trouble if you name a column that way.
There seemes to be a new column, miles, in your latest posting. Provide the data for it, or explain.
(2) What are the results you want from that sample data?
(3) Your existing query is full of syntax errors. If you don't know how to fix them, post the error messages.
If the data is really what you posted, then why are you doing a GROUP BY? If the GROUP BY is necessary, include some examples of why it is needed in your sample data.
If you have to use both analytic and aggregate (GROUP BY) functions, I suggest you do them in separate queries.
For example, you can do a GROUP BY (without the analytic LAST_VALUE) in a sub-query, then use LAST_VALUE in the super-querry.
Type (all small letters) before and after code and ouput postings.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       

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