让我们获得一些有趣的数据,这些数据在不同的属性上具有链接的重复项:
CREATE TABLE data ( ID, A, B, C ) AS
SELECT 1, 1, 1, 1 FROM DUAL UNION ALL -- Related to #2 on column A
SELECT 2, 1, 2, 2 FROM DUAL UNION ALL -- Related to #1 on column A, #3 on B & C, #5 on C
SELECT 3, 2, 2, 2 FROM DUAL UNION ALL -- Related to #2 on columns B & C, #5 on C
SELECT 4, 3, 3, 3 FROM DUAL UNION ALL -- Related to #5 on column A
SELECT 5, 3, 4, 2 FROM DUAL UNION ALL -- Related to #2 and #3 on column C, #4 on A
SELECT 6, 5, 5, 5 FROM DUAL; -- Unrelated
现在,我们可以使用分析函数获得一些关系(没有任何连接):
SELECT d.*,
LEAST(
FIRST_VALUE( id ) OVER ( PARTITION BY a ORDER BY id ),
FIRST_VALUE( id ) OVER ( PARTITION BY b ORDER BY id ),
FIRST_VALUE( id ) OVER ( PARTITION BY c ORDER BY id )
) AS duplicate_of
FROM data d;
这使:
ID A B C DUPLICATE_OF
-- - - - ------------
1 1 1 1 1
2 1 2 2 1
3 2 2 2 2
4 3 3 3 4
5 3 4 2 2
6 5 5 5 6
但这并没有说明#4与#5相关,#5与#2相关,然后与#1相关......
这可以通过分层查询找到:
SELECT id, a, b, c,
CONNECT_BY_ROOT( id ) AS duplicate_of
FROM data
CONNECT BY NOCYCLE ( PRIOR a = a OR PRIOR b = b OR PRIOR c = c );
但这会产生很多很多重复的行(因为它不知道从哪里开始层次结构,所以会依次选择每一行作为根) - 相反,您可以使用第一个查询为层次结构查询提供一个起点,当ID
and DUPLICATE_OF
值是相同的:
SELECT id, a, b, c,
CONNECT_BY_ROOT( id ) AS duplicate_of
FROM (
SELECT d.*,
LEAST(
FIRST_VALUE( id ) OVER ( PARTITION BY a ORDER BY id ),
FIRST_VALUE( id ) OVER ( PARTITION BY b ORDER BY id ),
FIRST_VALUE( id ) OVER ( PARTITION BY c ORDER BY id )
) AS duplicate_of
FROM data d
)
START WITH id = duplicate_of
CONNECT BY NOCYCLE ( PRIOR a = a OR PRIOR b = b OR PRIOR c = c );
这使:
ID A B C DUPLICATE_OF
-- - - - ------------
1 1 1 1 1
2 1 2 2 1
3 2 2 2 1
4 3 3 3 1
5 3 4 2 1
1 1 1 1 4
2 1 2 2 4
3 2 2 2 4
4 3 3 3 4
5 3 4 2 4
6 5 5 5 6
由于搜索中出现 #4 的局部最小值,仍然有一些行是重复的...可以通过简单的方法将其删除GROUP BY
:
SELECT id, a, b, c,
MIN( duplicate_of ) AS duplicate_of
FROM (
SELECT id, a, b, c,
CONNECT_BY_ROOT( id ) AS duplicate_of
FROM (
SELECT d.*,
LEAST(
FIRST_VALUE( id ) OVER ( PARTITION BY a ORDER BY id ),
FIRST_VALUE( id ) OVER ( PARTITION BY b ORDER BY id ),
FIRST_VALUE( id ) OVER ( PARTITION BY c ORDER BY id )
) AS duplicate_of
FROM data d
)
START WITH id = duplicate_of
CONNECT BY NOCYCLE ( PRIOR a = a OR PRIOR b = b OR PRIOR c = c )
)
GROUP BY id, a, b, c;
给出输出:
ID A B C DUPLICATE_OF
-- - - - ------------
1 1 1 1 1
2 1 2 2 1
3 2 2 2 1
4 3 3 3 1
5 3 4 2 1
6 5 5 5 6