[英]SQL select two same column on same table but with different ORDER
这是一个选项:它将名字和姓氏拆分为两个使用row_number
分析函数的子查询。 然后它用于join
行。
第 1 - 6 行代表您的样本数据。 您真正需要的查询从第 7 行开始。
SQL> with test (last_name, first_name) as
2 (select 'L1one' , 'F1one' from dual union all
3 select 'L2two' , 'F2two' from dual union all
4 select 'L3three', 'F3hthree' from dual union all
5 select 'L4four' , 'F4four' from dual
6 ),
7 ln as
8 (select last_name,
9 row_Number() over (order by last_name) rn
10 from test
11 ),
12 fn as
13 (select first_name,
14 row_number() over (order by first_name desc) rn
15 from test
16 )
17 select l.last_name, f.first_name
18 from ln l join fn f on f.rn = l.rn
19 order by l.last_name
20 /
LAST_NA FIRST_NA
------- --------
L1one F4four
L2two F3hthree
L3three F2two
L4four F1one
SQL>
[编辑:两个姓氏? 我还以为是笔误]
如果是这样,自加入是更好的选择:
SQL> with test (last_name, first_name) as
2 (select 'L1one' , 'F1one' from dual union all
3 select 'L2two' , 'F2two' from dual union all
4 select 'L3three', 'F3hthree' from dual union all
5 select 'L4four' , 'F4four' from dual
6 ),
7 temp as
8 (select last_name,
9 row_number() over (order by last_name asc) rna,
10 row_number() over (order by last_name desc) rnd
11 from test
12 )
13 select a.last_name, d.last_name
14 from temp a join temp d on a.rna = d.rnd
15 order by a.last_name;
LAST_NA LAST_NA
------- -------
L1one L4four
L2two L3three
L3three L2two
L4four L1one
SQL>
这是一种方法。 在单个子查询中,根据升序分配序数 ( rn
),但也要跟踪总行数。 然后跟着加入。
with
test (last_name, first_name) as (
select 'L1one' , 'F1one' from dual union all
select 'L2two' , 'F2two' from dual union all
select 'L3three', 'F3hthree' from dual union all
select 'L4four' , 'F4four' from dual
)
, prep (last_name, rn, ct) as (
select last_name, row_number() over (order by last_name), count(*) over ()
from test
)
select a.last_name as last_name_asc, b.last_name as last_name_desc
from prep a inner join prep b on a.rn + b.rn = a.ct + 1
;
LAST_NAME_ASC LAST_NAME_DESC
-------------- --------------
L1one L4four
L2two L3three
L3three L2two
L4four L1one
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