Although it does require an additional step -
select s.i
,min (s.val) over
(
partition by s.depth
,s.depth_val_seq
) as top_of_stack_val
from (select s.i
,s.val
,s.depth
,count (s.val) over
(
partition by s.depth
order by s.i
rows between unbounded preceding and current row
) as depth_val_seq
from (select s.i
,s.val
,sum (case s.op when 'I' then 1 else -1 end) over
(
order by s.i
rows between unbounded preceding and current row
) as depth
from stack_trace s
)
s
)
s
order by i
;
select s.i
,first_value (s.val) over
(
partition by s.depth
order by s.i
reset when s.op = 'I'
) as top_of_stack_val
from (select s.i
,s.val
,s.op
,sum (case s.op when 'I' then 1 else -1 end) over
(
order by s.i
rows unbounded preceding
) as depth
from stack_trace s
)
s
order by i
;
Personally I doubt that you will end up finding SQL that you can just use in all of SQL Server, Teradata, Postgres, and Oracle and that has acceptable performance if the table is at all large.
A SQL Server solution (demo) would be as follows
SELECT i,
SUBSTRING(MAX(FORMAT(i, 'D10') + val) OVER (PARTITION BY Pos ORDER BY i
ROWS UNBOUNDED PRECEDING), 11, 8000)
FROM (SELECT st.*,
sum(CASE WHEN op = 'I' THEN 1 ELSE -1 END)
OVER (ORDER BY i ROWS UNBOUNDED PRECEDING) AS pos
FROM stack_trace st) t1
ORDER BY i;
This is a nice puzzle.
As my main DBMS is Teradata I wrote a solution for it using Analytical functions (needs TD14.10+):
SELECT dt.*,
-- find the last item in the stack with the same position
Last_Value(val IGNORE NULLS)
Over (PARTITION BY pos
ORDER BY i) AS top_of_stack_val
FROM
(
SELECT st.*,
-- calculate the number of items in the stack
Sum(CASE WHEN op = 'I' THEN 1 ELSE -1 end)
Over (ORDER BY i
ROWS Unbounded Preceding) AS pos
FROM stack_trace AS st
) AS dt;
This solution works for Oracle, too, but PostgreSQL & SQL Server don't support the IGNORE NULLS
option for LAST_VALUE
and emulating it is quite complicated, e.g see Itzk Ben-Gan's The Last non NULL Puzzle
Edit: In fact it's not that complex, I forgot Itzik's 2nd solution, the old piggyback trick ;-)
Martin Smith's approach will work for all four DBMSes.
This is actually an interesting problem. What I would do is keep track of each elements position in the stack. You can do this using a cumulative sum:
select st.*,
sum(case when op = 'I' then 1 else -1 end) over (order by i) as pos
from stack_trace st;
Alas, at this point, I think you need a rather complicated join or subquery to figure out the most recent value that pos
refers to. Here is one method:
with st as (
select st.*,
sum(case when op = 'I' then 1 else -1 end) over (order by i) as pos
from stack_trace st
)
select st.*,
(select val
from st st2
where st2.i <= st.id and st2.pos = st.pos and
st2.val is not null
order by i desc
fetch first 1 row only
) as top_of_stack_val
from st;