full join语句练习(一)

2014-11-24 07:53:19 · 作者: · 浏览: 10
full join语句练习
需求:将表 A,B,C 合并到一个结果集中
表A如图:
[html] 
N   D  
1   eeee  
3   dddd  
5   cccc  
7   bbbb  
9   aaaa  
11  dddd  
13  eeee  
15  wwww  
17  qqqq  
19  tttttt  
表B如图:
[html] 
N   E  
5   rrrrrr  
4   fffff  
3   ssssss  
2   jjjjjj  
1   kkkkkk  
7   uuuuuu  
表C如图:
[html] 
N   F  
5   oooo  
4   lllll  
3   hhss  
2   ddfj  
1   kdsfkkk  
7   sduuu  
8   ewrtwy  
12  sdgfsd  
22  dfgee  
要得到的结果集如图:

[html] 
N   D   E   F  
1   eeee    kkkkkk  kdsfkkk  
22          dfgee  
11  dddd           
13  eeee           
2       jjjjjj  ddfj  
5   cccc    rrrrrr  oooo  
4       fffff   lllll  
17  qqqq           
8           ewrtwy  
3   dddd    ssssss  hhss  
7   bbbb    uuuuuu  sduuu  
9   aaaa           
15  wwww           
19  tttttt         
12          sdgfsd  

两种思路:
1, full join
语句为:
[html] 
select  nvl(a.n,nvl(b.n,c.n)) as N,  
            a.d,b.e,c.f  
from A full join B on A.N=B.N   
       full join c on b.n=c.n;  

2, 先union all ,再列转行
语句为:
[html] 
select n ,max(case when nn='a' then d end) as d,  
          max(case when nn='b' then d end) as e,  
          max(case when nn='c' then d end) as f  
from (  
  select n,d as d,'a' as nn from a  
  union all  
  select n,e as d,'b' as nn from b  
  union all  
  select n,f as d,'c' as nn from c  
)  
group by n;  

实际的问题是我要将70个左右的窄表连接成一个宽表,full join 几乎都编译不过,为此我对比了下2种情况的执行计划
使用 full join 的语句
[html] 
explain plan for  
select  nvl(a.n,nvl(b.n,c.n)) as N,  
            a.d,b.e,c.f  
from A full join B on A.N=B.N full join c on b.n=c.n;  
select * from table(dbms_xplan.display());  
执行结果为
[html] 
Plan hash value: 2877137913  
   
--------------------------------------------------------------------------------  
| Id  | Operation               | Name | Rows  | Bytes | Cost (%CPU)| Time     |  
--------------------------------------------------------------------------------  
|   0 | SELECT STATEMENT        |      |    19 |  1197 |   122   (4)| 00:00:02 |  
|   1 |  VIEW                   |      |    19 |  1197 |   122   (4)| 00:00:02 |  
|   2 |   UNION-ALL             |      |       |       |            |          |  
|*  3 |    HASH JOIN OUTER   
| | 11 | 1342 | 61 (4)| 00:00:01 | | 4 | VIEW | | 11 | 825 | 57 (2)| 00:00:01 | | 5 | UNION-ALL | | | | | | |* 6 | HASH JOIN OUTER | | 10 | 60 | 29 (4)| 00:00:01 | | 7 | TABLE ACCESS FULL| A | 10 | 30 | 14 (0)| 00:00:01 | | 8 | TABLE ACCESS FULL| B | 5 | 15 | 14 (0)| 00:00:01 | |* 9 | HASH JOIN ANTI | | 1 | 6 | 29 (4)| 00:00:01 | | 10 | TABLE ACCESS FULL| B | 5 | 15 | 14 (0)| 00:00:01 | | 11 | TABLE ACCESS FULL| A | 10 | 30 | 14 (0)| 00:00:01 | | 12 | TABLE ACCESS FULL | C | 9 | 423 | 3 (0)| 00:00:01 | |* 13 | HASH JOIN ANTI | | 8 | 272 | 61 (4)| 00:00:01 | | 14 | TABLE ACCESS FULL | C | 9 | 189 | 3 (0)| 00:00:01 | | 15 | VIEW | | 11 | 143 | 57 (2)| 00:00:01 | | 16 | UNION-ALL | | | | | | |* 17 | HASH JOIN OUTER | | 10 | 60 | 29 (4)| 00:00:01 | | 18 | TABLE ACCESS FULL| A | 10 | 30 | 14 (0)| 00:00:01 | | 19 | TABLE ACCESS FULL| B | 5 | 15 | 14 (0)| 00:00:01 | |* 20 | HASH JOIN ANTI | | 1 | 6 | 29 (4)| 00:00:01 | | 21 | TABLE ACCESS FULL| B | 5 | 15 | 14 (0)| 00:00:01 | | 22 | TABLE ACCESS FULL| A | 10 | 30 | 14 (0)| 00:00:01 | -------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 3 - access("B"."N"="C"."N"(+)) 6 - access("A"."N"="B"."N"(+)) 9 - access("A"."N"="B"."N") 13 - access("B"."N"="C"."N") 17 - access("A"."N"="B"."N"(+)) 20 - access("A"."N"="B"."N") Note ----- - dynamic sampling used for this statement 使用union all 的语句 [html] explain plan for select n ,max(case when nn='a' then d end) as d, max(case when nn='b' then d end) as e, max(case when nn='c' then d end) as f from ( select n,d as d,'a' as nn from a union all select n,e as d,'b' as nn from b union all select n,f as d,'c' as nn from c ) group by n; select * from table(dbms_xplan.di