How can one reference a calculated value from the previous row in a SQL query? In my case each row is an event that somehow manipulates the same value from the previous row.
The raw data looks like this:
Eventno Eventtype Totalcharge 3 ACQ 32 2 OUT NULL 1 OUT NULL
Lets say each Eventtype=OUT should half the previous row totalcharge in a column called Remaincharge:
Eventno Eventtype Totalcharge Remaincharge 3 ACQ 32 32 2 OUT NULL 16 1 OUT NULL 8
I've already tried the LAG analytic function but that does not allow me to get a calculated value from the previous row. Tried something like this:
LAG(remaincharge, 1, totalcharge) OVER (PARTITION BY ...) as remaincharge
But this didn't work because remaingcharge could not be found.
Any ideas how to achieve this? Would need a analytics function that can give me the the cumulative sum but given a function instead with access to the previous value.
Thank you in advance!
Update problem description
I'm afraid my example problem was to general, here is a better problem description:
What remains of totalcharge is decided by the ratio of outqty/(previous remainqty).
Eventno Eventtype Totalcharge Remainqty Outqty 4 ACQ 32 100 0 3 OTHER NULL 100 0 2 OUT NULL 60 40 1 OUT NULL 0 60
Eventno Eventtype Totalcharge Remainqty Outqty Remaincharge 4 ACQ 32 100 0 32 3 OTHER NULL 100 0 32 - (0/100 * 32) = 32 2 OUT NULL 60 40 32 - (40/100 * 32) = 12.8 1 OUT NULL 0 60 12.8 - (60/60 * 12.8) = 0
In your case you could work out the first value using the FIRST_VALUE() analytic function and the power of 2 that you have to divide by with RANK() in a sub-query and then use that. It's very specific to your example but should give you the general idea:
select eventno, eventtype, totalcharge
, case when eventtype <> 'OUT' then firstcharge
else firstcharge / power(2, "rank" - 1)
end as remaincharge
from ( select a.*
, first_value(totalcharge) over
( partition by 1 order by eventno desc ) as firstcharge
, rank() over ( partition by 1 order by eventno desc ) as "rank"
from the_table a
)
Here's a SQL Fiddle to demonstrate. I haven't partitioned by anything because you've got nothing in your raw data to partition by...
A variation on Ben's answer to use a windowing clause, which seems to take care of your updated requirements:
select eventno, eventtype, totalcharge, remainingqty, outqty,
initial_charge - case when running_outqty = 0 then 0
else (running_outqty / 100) * initial_charge end as remainingcharge
from (
select eventno, eventtype, totalcharge, remainingqty, outqty,
first_value(totalcharge) over (partition by null
order by eventno desc) as initial_charge,
sum(outqty) over (partition by null
order by eventno desc
rows between unbounded preceding and current row)
as running_outqty
from t42
);
Except it gives 19.2
instead of 12.8
for the third row, but that's what your formula suggests it should be:
EVENTNO EVENT TOTALCHARGE REMAININGQTY OUTQTY REMAININGCHARGE
---------- ----- ----------- ------------ ---------- ---------------
4 ACQ 32 100 0 32
3 OTHER 100 0 32
2 OUT 60 40 19.2
1 OUT 0 60 0
If I add another split so it goes from 60 to zero in two steps, with another non-OUT record in the mix too:
EVENTNO EVENT TOTALCHARGE REMAININGQTY OUTQTY REMAININGCHARGE
---------- ----- ----------- ------------ ---------- ---------------
6 ACQ 32 100 0 32
5 OTHER 100 0 32
4 OUT 60 40 19.2
3 OUT 30 30 9.6
2 OTHER 30 0 9.6
1 OUT 0 30 0
There's an assumption that the remaining quantity is consistent and you can effectively track a running total of what has gone before, but from the data you've shown that looks plausible. The inner query calculates that running total for each row, and the outer query does the calculation; that could be condensed but is hopefully clearer like this...
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