Given the following oracle database table:
group revision comment 1 1 1 1 2 2 1 null null 2 1 1 2 2 2 2 3 3 2 4 4 2 null null 3 1 1 3 2 2 3 3 3 3 null null
I want to shift the comment column one step down in relation to version, within its group, so that I get the following table:
group revision comment 1 1 null 1 2 1 1 null 2 2 1 null 2 2 1 2 3 2 2 4 3 2 null 4 3 1 null 3 2 1 3 3 2 3 null 3
I have the following query:
MERGE INTO example_table t1 USING example_table t2 ON ( (t1.revision = t2.revision+1 OR (t2.revision = ( SELECT MAX(t3.revision) FROM example_table t3 WHERE t3.group = t1.group ) AND t1.revision IS NULL) ) AND t1.group = t2.group) WHEN MATCHED THEN UPDATE SET t1.comment = t2.comment;
That does most of this (still need a separate query to cover revision = 1), but it is very slow.
So my question is, how do I use Max here as efficiently as possible to pull out the highest revision for each group?
I would use lag
not max
create table example_table(group_id number, revision number, comments varchar2(40));
insert into example_table values (1,1,1);
insert into example_table values (1,2,2);
insert into example_table values (1,3,null);
insert into example_table values (2,1,1);
insert into example_table values (2,2,2);
insert into example_table values (2,3,3);
insert into example_table values (2,4,null);
select * from example_table;
merge into example_table e
using (select group_id, revision, comments, lag(comments, 1) over (partition by group_id order by revision nulls last) comments1 from example_table) u
on (u.group_id = e.group_id and nvl(u.revision,0) = nvl(e.revision,0))
when matched then update set comments = u.comments1;
select * from example_table;