Oracle查询从多维表中获取关系数据集结果

Question

我有一个多维/非关系的数据表。我正在尝试编写一个动态写出所有列名称并相关排列数据的查询。

该示例是一个显示 5 本书的简单表格。这些列显示了书中页面的大小。我正在寻找的结果集将有 3 列：BOOK_ID、PAGE、PAGE_SIZE。我已经包含了简单的代码来构建表格。

我已经设法通过使用联合查询来解决问题，但这对于大量列来说是不合理的。该数据集有近 100 列。

CREATE TABLE 
    BOOK_PAGE_SIZE 
        ( 
          BOOK_ID VARCHAR2(5)
        , SIZE_PAGE_1 NUMBER 
        , SIZE_PAGE_2 NUMBER
        , SIZE_PAGE_3 NUMBER
        , SIZE_PAGE_4 NUMBER
        , SIZE_PAGE_5 NUMBER
        );


INSERT INTO BOOK_PAGE_SIZE  VALUES ('T7001',10,35,0,0,0);
INSERT INTO BOOK_PAGE_SIZE  VALUES ('T7002',45,84,78,0,0);
INSERT INTO BOOK_PAGE_SIZE  VALUES ('T7003',28,65,12,32,0);
INSERT INTO BOOK_PAGE_SIZE  VALUES ('T7004',94,74,69,21,76);
INSERT INTO BOOK_PAGE_SIZE  VALUES ('T7005',91,23,14,61,46);

结果集：

  BOOK_ID  PAGE_NUMBER  PAGE_SIZE
   T70001     Page 1       10
   T70001     Page 2       35
   T70001     Page 3        0
   T70001     Page 4        0
   T70001     Page 5        0
   T70002     Page 1       45
   T70002     Page 2       84
   T70002     Page 3       78
   T70002     Page 4        0
   T70002     Page 5        0
   T70003     Page 1       28
   T70003     Page 2       65
   T70003     Page 3       12
   T70003     Page 4       32
   T70003     Page 5        0
   T70004     Page 1       94
   T70004     Page 2       74
   T70004     Page 3       69
   T70004     Page 4       21
   T70004     Page 5       76
   T70005     Page 1       91
   T70005     Page 2       23
   T70005     Page 3       14
   T70005     Page 4       61
   T70005     Page 5       46

Answer 1

你可以使用unpivot：

select *
  from  
  (
   with book_page_size(book_id,size_page_1,size_page_2,size_page_3,size_page_4,size_page_5) as
   (
    select 'T7001', 10, 35,  0,  0,  0 from dual union all
    select 'T7002', 45, 84, 78,  0,  0 from dual union all
    select 'T7003', 28, 65, 12, 32,  0 from dual union all
    select 'T7004', 94, 74, 69, 21, 76 from dual union all
    select 'T7005', 91, 23, 14, 61, 46 from dual 
   )
   select *
     from book_page_size a
  ) 
  unpivot (page_size for page_number in (size_page_1 as 'Page 1',
                                         size_page_2 as 'Page 2',
                                         size_page_3 as 'Page 3',
                                         size_page_4 as 'Page 4',
                                         size_page_5 as 'Page 5'))
  order by book_id, page_number;

Demo

Answer 2

正如 Barbaros Özhan 回答的那样，UNPIVOT 看起来是完成这项工作的好工具，而且它需要的代码更少。此外，您可以使用 SQL 查询来生成您想要的查询！我经常这样做。我创建了一个包含 20 个 SIZE_PAGE* 列的表来演示。

select 'select book_id, ''Page ''||page_number as page_number, page_size from book_page_size' txt from dual union all
select 'unpivot (' from dual union all
select '  page_size for page_number in (' from dual union all
select '    ' || column_name || ' as ' || replace(column_name, 'SIZE_PAGE_') ||
case when lead(column_id) over(order by column_id) is not null
  then ','
end
from user_tab_columns
where table_name = 'BOOK_PAGE_SIZE'
and column_name != 'BOOK_ID'
union all
select ')) u' from dual union all
select 'order by u.book_id, u.page_number' from dual;

运行这个我得到以下查询：

select book_id, 'Page '||page_number as page_number, page_size from book_page_size
unpivot (
  page_size for page_number in (
    SIZE_PAGE_1 as 1,
    SIZE_PAGE_2 as 2,
    SIZE_PAGE_3 as 3,
    SIZE_PAGE_4 as 4,
    SIZE_PAGE_5 as 5,
    SIZE_PAGE_6 as 6,
    SIZE_PAGE_7 as 7,
    SIZE_PAGE_8 as 8,
    SIZE_PAGE_9 as 9,
    SIZE_PAGE_10 as 10,
    SIZE_PAGE_11 as 11,
    SIZE_PAGE_12 as 12,
    SIZE_PAGE_13 as 13,
    SIZE_PAGE_14 as 14,
    SIZE_PAGE_15 as 15,
    SIZE_PAGE_16 as 16,
    SIZE_PAGE_17 as 17,
    SIZE_PAGE_18 as 18,
    SIZE_PAGE_19 as 19,
    SIZE_PAGE_20 as 20
)) u
order by u.book_id, u.page_number

当我运行查询时，结果是：

BOOK_ID   PAGE_NUMBER  PAGE_SIZE   
BK001     Page 1               1 
BK001     Page 2               2 
BK001     Page 3               3 
BK001     Page 4               4 
BK001     Page 5               5 
BK001     Page 6               6 
BK001     Page 7               7 
BK001     Page 8               8 
BK001     Page 9               9 
BK001     Page 10             10 
BK001     Page 11             11 
BK001     Page 12             12 
BK001     Page 13             13 
BK001     Page 14             14 
BK001     Page 15             15 
BK001     Page 16             16 
BK001     Page 17             17 
BK001     Page 18             18 
BK001     Page 19             19 
BK001     Page 20             20 

Answer 3

你可以使用一些联合所有

    select  BOOK_ID,  'Page 1'  PAGE_NUMBER, SIZE_PAGE_1 PAGE_SIZE
    from  BOOK_PAGE_SIZE 
    union all  
    select  BOOK_ID,  'Page 2'  , SIZE_PAGE_2
    from  BOOK_PAGE_SIZE 
    union all  
    select  BOOK_ID,  'Page 3'  , SIZE_PAGE_3
    from  BOOK_PAGE_SIZE 
    union all  
    select  BOOK_ID,  'Page 4'  , SIZE_PAGE_4
    from  BOOK_PAGE_SIZE 
    union all  
    select  BOOK_ID,  'Page 5'  , SIZE_PAGE_5
    from  BOOK_PAGE_SIZE 
    order by BOOK_ID PAGE_NUMBER, PAGE_SIZE

但你不应该使用你应该规范化你的架构的列集