问题
I'll simplify the problem as much as possible:
I have an oracle table:
row_priority, col1, col2, col3
0, .1, 100, {null}
12, {null}, {null}, 3
24, .2, {null}, {null}
Desired result:
col1, col2, col3
.2, 100, 3
So according to the priority of the row, it overrides previous row values, if given.
I'm attempting to work out a solution using analytical functions over the table, but it just isn't behaving...
I try:
select last_value(col1 ignore nulls) over () col1,
last_value(col2 ignore nulls) over () col2,
last_value(col3 ignore nulls) over () col3
from (select * from THE_TABLE order by row_priority)
where rownum = 1
or the inverse:
select first_value(col1 ignore nulls) over () col1,
first_value(col2 ignore nulls) over () col2,
first_value(col3 ignore nulls) over () col3
from (select * from THE_TABLE order by row_priority desc)
where rownum = 1
And neither seem to ignore nulls. Any hints?
回答1:
You need to put rownum = 1 OUTSIDE the analytical query
SELECT *
FROM ( select last_value(col1 ignore nulls) over () col1,
last_value(col2 ignore nulls) over () col2,
last_value(col3 ignore nulls) over () col3
from (select * from THE_TABLE ORDER BY ROW_PRIORITY)
)
WHERE ROWNUM = 1
which results in (using your values above):
COL1 COL2 COL3
------ ------- ----
0.2 100 3
回答2:
The COALESCE function may be of help to you here. Perhaps like ...
select first_value(coalesce(col1,0) ignore nulls) over () col1,
first_value(coalesce(col2,0) ignore nulls) over () col2,
first_value(coalesce(col3,0) ignore nulls) over () col3
from THE_TABLE
回答3:
An alternative:
SELECT
MAX(col1) KEEP (DENSE_RANK LAST ORDER BY row_priority),
MAX(col2) KEEP (DENSE_RANK LAST ORDER BY row_priority),
MAX(col3) KEEP (DENSE_RANK LAST ORDER BY row_priority)
FROM the_table
The performance of this may be different from the analytic version; whether it is better or worse depends on your data and environment.
来源:https://stackoverflow.com/questions/261924/how-do-i-compress-this-oracle-resultset-into-values-according-to-row-priority-i