我有一个简单的查询:
WITH data(val1, val2, val3) AS
( SELECT 'a' ,'a-details' ,'1' FROM DUAL
UNION ALL
SELECT 'b' ,'b-details' ,'2' FROM DUAL
UNION ALL
SELECT 'c' ,'c-details' ,'3' FROM DUAL
)
SELECT NVL(val1,'Total Result'),
val2,
SUM(val3) tot
from data
group by rollup(val1, val2);
我得到的输出如下:
VAL1 VAL2 TOT
-------------------------------- -------------------------------- ----------
a a-details 1
a 1
b b-details 2
b 2
c c-details 3
c 3
Total Result 6
但我需要一个输出:
VAL1 VAL2 TOT
-------------------------------- -------------------------------- ----------
a a-details 1
b b-details 2
c c-details 3
Total Result 6
提前致谢。
答案 0 :(得分:9)
您可以使用GROUPING_ID
表达式来过滤所需的小计级别:
WITH data AS
( SELECT 'a' AS val1 ,'a-details' AS val2 , '1' AS val3 FROM DUAL
UNION ALL
SELECT 'b' ,'b-details' ,'2' FROM DUAL
UNION ALL
SELECT 'c' ,'c-details' ,'3' FROM DUAL
)
SELECT NVL(val1,'Total Result'),
val2,
SUM(val3) tot
from data
group by ROLLUP(val1, val2)
HAVING GROUPING_ID(val1, val2) IN (0, 3);
输出:
NVL(VAL1,'TOTALRESULT') VAL2 TOT ----------------------- --------- ---------- a a-details 1 b b-details 2 c c-details 3 Total Result 6
GROUPING_ID
为没有小计的行返回0,为第一级返回1,依此类推,我们可以看一下它返回的值:
WITH data AS
( SELECT 'a' AS val1 ,'a-details' AS val2 , '1' AS val3 FROM DUAL
UNION ALL
SELECT 'b' ,'b-details' ,'2' FROM DUAL
UNION ALL
SELECT 'c' ,'c-details' ,'3' FROM DUAL
)
SELECT NVL(val1,'Total Result'),
val2,
SUM(val3) tot,
GROUPING_ID(val1, val2) AS grp_id
from data
group by ROLLUP(val1, val2);
NVL(VAL1,'TOTALRESULT') VAL2 TOT GRP_ID ----------------------- --------- ---------- ---------- a a-details 1 0 a 1 1 b b-details 2 0 b 2 1 c c-details 3 0 c 3 1 Total Result 6 3
有关汇总及相关主题的更多信息:Tim Hall about Rollup and Cube
(修改强>)
关于评论。您可以使用GROUPING
功能:
GROUPING - 接受一个列作为参数,如果是,则返回“1” 该列包含由a作为小计的一部分生成的空值
ROLLUP
或CUBE
操作或“0”表示任何其他值,包括 存储空值。
返回值的示例:
WITH data AS
( SELECT 'a' AS val1 ,'a-details' AS val2 , '1' AS val3 FROM DUAL
UNION ALL
SELECT 'b' ,'b-details' ,'2' FROM DUAL
UNION ALL
SELECT 'c' ,'c-details' ,'3' FROM DUAL
)
SELECT NVL(val1,'Total Result'),
val2,
SUM(val3) tot,
grouping(val1),
grouping(val2)
from data
group by ROLLUP(val1, val2);
输出:
NVL(VAL1,'TOTALRESULT') VAL2 TOT GROUPING(VAL1) GROUPING(VAL2) ----------------------- --------- ---------- -------------- -------------- a a-details 1 0 0 a 1 0 1 b b-details 2 0 0 b 2 0 1 c c-details 3 0 0 c 3 0 1 Total Result 6 1 1
所以你的查询应该是这样的:
WITH data AS
( SELECT 'a' AS val1 ,'a-details' AS val2 , '1' AS val3 FROM DUAL
UNION ALL
SELECT 'b' ,'b-details' ,'2' FROM DUAL
UNION ALL
SELECT 'c' ,'c-details' ,'3' FROM DUAL
)
SELECT NVL(val1,'Total Result'),
val2,
SUM(val3) tot
from data
group by ROLLUP(val1, val2)
HAVING GROUPING(val1) = 1
OR (GROUPING(val1) + GROUPING(val2) = 0);
输出:
NVL(VAL1,'TOTALRESULT') VAL2 TOT ----------------------- --------- ---------- a a-details 1 b b-details 2 c c-details 3 Total Result 6
使用AskTom的GROUPING
函数的想法,here。
答案 1 :(得分:9)
我发现使用GROUPING SET子句指定所需的确切集合相当容易:
WITH data(val1, val2, val3) AS
( SELECT 'a' ,'a-details' ,'1' FROM DUAL
UNION ALL
SELECT 'b' ,'b-details' ,'2' FROM DUAL
UNION ALL
SELECT 'c' ,'c-details' ,'3' FROM DUAL
)
SELECT NVL(val1,'Total Result'),
val2,
SUM(val3) tot
from data
group by grouping sets ((val1, val2),());
我怀疑它更有效率,因为它直接指定要计算的水平。
http://sqlfiddle.com/#!4/8301d/3
CUBE和ROLLUP可以方便地自动生成大量聚合级别(例如,维度层次结构中的每个级别),如果您想从大型级别中消除一小部分级别,则可能存在使用GROUPING ID的情况CUBE生成的集合,但GROUPING SET精确设计用于指定特定的聚合级别。