具有动态参数的Oracle Lag函数

时间:2015-12-08 16:08:20

标签: sql oracle window-functions

我有一个具体的问题。我有一个包含无效值的表。 我需要将无效值(此处为0)替换为大于0的先前值。

困难在于,对我来说使用更新或插入是不合适的(光标和更新会这样做。)我唯一的方法是使用Select语句。

当我使用lag(col1, 1) - 函数时,我只得到一个具有正确值的列。

select col1, col2 realcol2,  
(case 
  when col2 = 0 then 
    lag(col2,1,1) over (partition by col1 order by col1 )
  else
   col2
  end ) col2,     
col3 realcol3,
(case 
  when col3 = 0 then 
    lag(col3,1,1) over (partition by col1 order by col1 )
  else
   col3
  end ) col3
from test_table 

TEST_TABLE的内容:

---------------------------
 Col1 | Col2 | Col3 | Col4
---------------------------
  A   |  0   |  1   |  5
  B   |  0   |  4   |  0
  C   |  2   |  0   |  0
  D   |  0   |  0   |  0
  E   |  3   |  5   |  0
  F   |  0   |  3   |  0
  G   |  0   |  3   |  1
  A   |  0   |  1   |  5
  E   |  3   |  5   |  0

预期查询结果:

---------------------------
 Col1 | Col2 | Col3 | Col4
---------------------------
  A   |  0   |  1   |  5
  B   |  0   |  4   |  5
  C   |  2   |  4   |  5
  D   |  2   |  4   |  5
  E   |  3   |  5   |  5
  F   |  3   |  3   |  5
  G   |  3   |  3   |  1
  A   |  3   |  1   |  5
  E   |  3   |  5   |  5

3 个答案:

答案 0 :(得分:7)

我假设其他列col0包含明显的数据排序条件,因为您的col1示例数据并未真正正确排序(重复,{{1}的尾随值}和A)。

出于这些目的,我喜欢E条款。以下查询产生预期结果:

MODEL

结果:

WITH t(col0, col1, col2, col3, col4) AS (
  SELECT 1, 'A', 0, 1, 5 FROM DUAL UNION ALL
  SELECT 2, 'B', 0, 4, 0 FROM DUAL UNION ALL
  SELECT 3, 'C', 2, 0, 0 FROM DUAL UNION ALL
  SELECT 4, 'D', 0, 0, 0 FROM DUAL UNION ALL
  SELECT 5, 'E', 3, 5, 0 FROM DUAL UNION ALL
  SELECT 6, 'F', 0, 3, 0 FROM DUAL UNION ALL
  SELECT 7, 'G', 0, 3, 1 FROM DUAL UNION ALL
  SELECT 8, 'A', 0, 1, 5 FROM DUAL UNION ALL
  SELECT 9, 'E', 3, 5, 0 FROM DUAL
)
SELECT * FROM t
MODEL
  DIMENSION BY (row_number() OVER (ORDER BY col0) rn)
  MEASURES (col1, col2, col3, col4)
  RULES (
    col2[any] = DECODE(col2[cv(rn)], 0, NVL(col2[cv(rn) - 1], 0), col2[cv(rn)]),
    col3[any] = DECODE(col3[cv(rn)], 0, NVL(col3[cv(rn) - 1], 0), col3[cv(rn)]),
    col4[any] = DECODE(col4[cv(rn)], 0, NVL(col4[cv(rn) - 1], 0), col4[cv(rn)])
  )

SQLFiddle

关于MODEL子句与基于窗口函数的方法的说明

虽然上面看起来很酷(或者可怕,取决于你的观点),但你肯定更喜欢使用基于窗口函数的appraoch,而nop77svk (using LAST_VALUE() IGNORE NULLS)MT0 (using LAG() IGNORE NULLS)则通过其他优雅答案公开。 I've explained these answers more in detail in this blog post

答案 1 :(得分:5)

假设您希望按照原始数据顺序(无论可能是什么)之前的值,那么您的查询可能如下所示:

with preserve_the_order$ as (
    select X.*,
        rownum as original_order$
    from test_table X
)
select X.col1,
    nvl(last_value(case when col2 > 0 then col2 end) ignore nulls over (order by original_order$ rows between unbounded preceding and current row), col2) as col2,
    nvl(last_value(case when col3 > 0 then col3 end) ignore nulls over (order by original_order$ rows between unbounded preceding and current row), col3) as col3,
    nvl(last_value(case when col4 > 0 then col4 end) ignore nulls over (order by original_order$ rows between unbounded preceding and current row), col4) as col4
from preserve_the_order$ X
order by original_order$
;

结果:

COL1       COL2       COL3       COL4
---- ---------- ---------- ----------
A             0          1          5
B             0          4          5
C             2          4          5
D             2          4          5
E             3          5          5
F             3          3          5
G             3          3          1
A             0          1          5
E             3          5          5

答案 2 :(得分:3)

SELECT col1,
       CASE col2 WHEN 0 THEN NVL( LAG( CASE col2 WHEN 0 THEN NULL ELSE col2 END ) IGNORE NULLS OVER ( ORDER BY NULL ), 0 ) ELSE col2 END AS col2,
       CASE col3 WHEN 0 THEN NVL( LAG( CASE col3 WHEN 0 THEN NULL ELSE col3 END ) IGNORE NULLS OVER ( ORDER BY NULL ), 0 ) ELSE col3 END AS col3,
       CASE col4 WHEN 0 THEN NVL( LAG( CASE col4 WHEN 0 THEN NULL ELSE col4 END ) IGNORE NULLS OVER ( ORDER BY NULL ), 0 ) ELSE col4 END AS col4
FROM   table_name;

<强>结果

COL1       COL2       COL3       COL4
---- ---------- ---------- ----------
A             0          1          5 
B             0          4          5 
C             2          4          5 
D             2          4          5 
E             3          5          5 
F             3          3          5 
G             3          3          1 
A             3          1          5 
E             3          5          5