Question

我有透视格式的数据。它看起来像这样：

-----------------------------------------
| user_id |  org  |   position  | lang  |
-----------------------------------------
|   1001  |   USE |   Boss      | EN    |
|   1001  |   USD |   Bossa     | FI    |
|   1002  |   GWR |   Dim       | SV    |
|   1003  |   GGA |   DCS       | FI    |
|   1003  |   GCA |   DDD       | SV    |
-----------------------------------------

我希望将数据表示为：

-------------------------------------------------------------------------------------
| user_id | org_fi |  position_fi |   org_en | position_en  | org_sv  | position_sv |
-------------------------------------------------------------------------------------
|  1001   |   USD  |    Bossa     |   USE    |   Boss       |         |             |
|  1002   |        |              |          |              | GWR     |  Dim        |
|  1003   |   GGA  |    DCS       |          |              | GCA     |  DDD        |
-------------------------------------------------------------------------------------

我认为需要使用connect by命令进行数据透视查询。

这就是我试图做的事情：

SELECT user_id, 
    org, 
    position, 
    lang, 
    ROW_NUMBER () OVER (PARTITION BY lang, user_id ORDER BY ROWID) rn
 FROM source

但是，我不知道如何前进。

Answer 1

PIVOT应该可以正常工作 - SQL Fiddle demo _{（从bluefeets answer借来的架构）}

SELECT *
FROM   source
PIVOT (
        MIN(org) AS org,
        MIN(position) AS position
        FOR lang
        IN('EN' AS en, 'FI' AS fi, 'SV' AS sv)
      );

Answer 2

以下是一种以所需格式获取数据的方法：

SELECT user_id, 
  max(case when lang = 'FI' THEN org ELSE ' ' END) org_fi,
  max(case when lang = 'FI' THEN position ELSE ' ' END) position_fi,
  max(case when lang = 'EN' THEN org ELSE ' ' END) org_en,
  max(case when lang = 'EN' THEN position ELSE ' ' END) position_en,
  max(case when lang = 'SV' THEN org ELSE ' ' END) org_sv,
  max(case when lang = 'SV' THEN position ELSE ' ' END) position_sv
FROM source
group by user_id
order by user_id

请参阅SQL Fiddle with Demo

Answer 3

11gr2 PIVOT示例

SQL> create table t1
(
user_id number,
org varchar2(10),
position varchar2(10),
lang varchar2(10)
)
Table created.
SQL> insert into t1 values (1,'ABC','VVV','EN')
1 row created.
SQL> insert into t1 values (1,'DEF','WWW','FI')
1 row created.
SQL> insert into t1 values (2,'GHI','XXX','FI')
1 row created.
SQL> insert into t1 values (2,'JKL','YYY','SV')
1 row created.
SQL> insert into t1 values (3,'MNO','ZZZ','EN')
1 row created.
SQL> commit
Commit complete.
SQL> select * from t1

   USER_ID ORG        POSITION   LANG     
---------- ---------- ---------- ----------
         1 ABC        VVV        EN        
         1 DEF        WWW        FI       
         2 GHI        XXX        FI       
         2 JKL        YYY        SV       
         3 MNO        ZZZ        EN       

5 rows selected.
SQL> select * from t1
pivot(max(org) as org, max(position) as position for lang in ('EN' as "EN",'FI' as "FI",'SV' as "SV"))

   USER_ID EN_ORG     EN_POSITION FI_ORG     FI_POSITION SV_ORG     SV_POSITION
---------- ---------- ----------- ---------- ----------- ---------- -----------
         1 ABC        VVV         DEF        WWW                              
         2                        GHI        XXX         JKL        YYY       
         3 MNO        ZZZ                                                     

3 rows selected.

使用两列旋转数据

3 个答案: