我订了桌子
form_id | procedure_id
----------+-------------
101 | 24
101 | 23
101 | 22
102 | 7
102 | 6
102 | 3
102 | 2
另一张桌子上
form_id | procedure_id
----------+-------------
101 | 42
101 | 45
102 | 5
102 | 3
102 | 7
102 | 12
102 | 13
预期产量
form_id o_procedure_id p_procedure_id
101 24 42
101 23 45
101 22 NULL
102 7 7
102 6 5
102 3 3
102 2 12
102 NULL 13
我尝试了以下查询:
with ranked as
(select
dense_rank() over (partition by po.form_id order by po.procedure_id) rn1,
dense_rank() over (partition by po.form_id order by pp.procedure_id) rn2,
po.form_id,
po.procedure_id,
pp.procedure_id
from ordered po,
performed pp where po.form_id = pp.form_id)
select ranked.* from ranked
--where rn1=1 or rn2=1
上面的查询返回的值具有repeat value ordered和procedure ID。
如何获得例外输出?
最佳答案
我不太确定您希望如何处理表两边的多个空值和/或空值。因此,我的示例假设第一个表是前导的,包含所有条目,而第二个表可能包含孔。查询并不漂亮,但我想它会按照您的预期:
select test1_sub.form_id, test1_sub.process_id as pid_1, test2_sub.process_id as pid_2 from (
select form_id,
process_id,
rank() over (partition by form_id order by process_id asc nulls last)
from test1) as test1_sub
left join (
select * from (
select form_id,
process_id,
rank() over (partition by form_id order by process_id asc nulls last)
from test2
) as test2_nonexposed
) as test2_sub on test1_sub.form_id = test2_sub.form_id and test1_sub.rank = test2_sub.rank;
关于postgresql - SQL连接和删除在两个单独的列中不同,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/14605436/