行列转换实例
表ttt有三个字段
seq
--
序列
jcxm
--
检查项目
zhi
--
值
数据分别如下:
seq jcxm zhi
--
----- -------- --------
11
1
0.50
11
2
0.21
11
3
0.25
12
1
0.24
12
2
0.30
12
3
0.22

实现功能
创建视图时移动行值为列值


create
view
v_view1
as
select
seq,
sum
(decode(jcxm,
1
, zhi)) 检测项目1,
sum
(decode(jcxm,
2
, zhi)) 检测项目2,
sum
(decode(jcxm,
3
, zhi)) 检测项目3
from
ttt
group
by
seq;

序号 检测项目1 检测项目2 检测项目3
11
0.50
0.21
0.25
12
0.24
0.30
0.22


技巧:
用THEN中的0和1来进行统计(
SUM
)

jcxm zhi
--
-- ----
a
1
b
1
a
3
d
2
e
4
f
5
a
5
d
3
d
6
b
5
c
4
b
3
求他的zhi既是1,也是3,也是5的jcxm
方法一
select
jcxm
from
ttt
group
by
jcxm
having
sum
(decode(zhi,
1
,
-
1
,
3
,
-
1
,
5
,
-
1
,
0
))
=
-
3
方法二
select
jcxm
from
ttt
group
by
jcxm
having
(
sign
(
sum
(decode(zhi,
1
,
-
1
,
0
)))
+
sign
(
sum
(decode(zhi,
3
,
-
1
,
0
)))
+
sign
(
sum
(decode(zhi,
5
,
-
1
,
0
)))
<=-
3
);

--
--------
a
b
说明:
sign
()函数根据某个值是0、正数还是负数,分别返回0、
1
、
-
1
所以可以用sign和decode来完成比较字段大小来区某个字段
select
decode(
sign
(字段1
-
字段2),
-
1
,字段3,字段4)
from
dual;

sign是一个对于写分析SQL有很强大的功能
下面我对sign进行一些总结:
但属性student取0和1以外的值,或者student取两个以上的标法值,问题就不会这么简单了
解决办法就是特征函数(
abs
(),
sign
())

常用的特征算法
[A=B]=
1
-
abs
(
sign
(A-B))
[A!=B]=
abs
(
sign
(A-B))
[A
<
B]=
1
-
sign
(
1
+
sign
(A-B))
不能用
-
sign
(A-B):因为如果不满足A
<
b则返回
-
1
,而不是0,这样就不能用在字段选择上了
[A
<
=B]=
sign
(
1
-
sign
(A-B))
[A
>
B]=
1
-
sign
(
1
-
sign
(A-B))
[A
>
=B]=
sign
(
1
+
sign
(A-B)))
[NOTα]=
1
-d [α]
[αANDb ]=d [α]
*
d [b ] (
6
)
[αOR b ]=
sign
(d [α]+d
[
b
]
)

例如:
A
<
B Decode(
Sign
(A
-
B),
-
1
,
1
,
0
)
A
<=
B Decode(
Sign
(A
-
B),
1
,
0
,
1
)
A
>
B Decode(
Sign
(A
-
B),
1
,
1
,
0
)
A
>=
B Decode(
Sign
(A
-
B),
-
1
,
0
,
1
)
A
=
B Decode( A, B,
1
,
0
)
A
between
B
and
C Decode(
Sign
(A
-
B),
-
1
,
0
,
Decode(
Sign
(A
-
C),
1
,
0
,
1
))
A
is
null
Decode(A,
null
,
1
,
0
)
A
is
not
null
Decode(A,
null
,
0
,
1
) A
in
(B1,B2,
,Bn) Decode(A,B1,
1
,B2,
1
,
,Bn,
1
,
0
)
nor LogA Decode( LogA,
0
,
1
,
0
)
(
1
-
Sign
(LogA))
LogA
and
LogB LogA
*
LogB
LogA
or
LogB LogA
+
LogB
LogA xor LogB Decode(
Sign
(LogA),
Sign
(LogB),
0
,
1
)
Mod(
Sign
(LogA),
Sign
(LogB),
2


>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>

[
NextPage
]
另外一个关于成绩的分析例子

SELECT
SUM
(
CASE
WHEN
cj
<
60
THEN
1
ELSE
0
END
)
as
"
not
passed",
SUM
(
CASE
WHEN
cj
BETWEEN
60
AND
79
THEN
1
ELSE
0
END
)
as
"passed",
SUM
(
CASE
WHEN
cj
BETWEEN
80
AND
89
THEN
1
ELSE
0
END
)
as
"good",
SUM
(
CASE
WHEN
cj
>=
90
THEN
1
ELSE
0
END
)
as
"Excellent"
FROM
cjtable;

decode用法2
表、视图结构转化
现有一个商品销售表sale,表结构为:
month
char
(
6
)
--
月份
sell
number
(
10
,
2
)
--
月销售金额
现有数据为:
200001
1000
200002
1100
200003
1200
200004
1300
200005
1400
200006
1500
200007
1600
200101
1100
200202
1200
200301
1300

想要转化为以下结构的数据:
year
char
(
4
)
--
年份
--
---------- ---------------------
--
-----------------
month1
number
(
10
,
2
)
--
1月销售金额
month2
number
(
10
,
2
)
--
2月销售金额
month3
number
(
10
,
2
)
--
3月销售金额
month4
number
(
10
,
2
)
--
4月销售金额
month5
number
(
10
,
2
)
--
5月销售金额
month6
number
(
10
,
2
)
--
6月销售金额
month7
number
(
10
,
2
)
--
7月销售金额
month8
number
(
10
,
2
)
--
8月销售金额
month9
number
(
10
,
2
)
--
9月销售金额
month10
number
(
10
,
2
)
--
10月销售金额
month11
number
(
10
,
2
)
--
11月销售金额
month12
number
(
10
,
2
)
--
12月销售金额
结构转化的SQL语句为:
create
or
replace
view
v_sale(
year
,month1,month2,month3,month4,month5,month6,month7,month8,month9,month10,month11,month12)
as
select
substrb(
month
,
1
,
4
),
sum
(decode(substrb(
month
,
5
,
2
),
'
01
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
02
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
03
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
04
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
05
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
06
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
07
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
08
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
09
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
10
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
11
'
,sell,
0
)),
sum
(decode(substrb(
month
,
5
,
2
),
'
12
'
,sell,
0
))
from
sale
group
by
substrb(
month
,
1
,
4
);

体会:要用decode
/
group
by
/
order
by
/
sign
/
sum来实现不同报表的生成
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
CASE应用

1
1
部门a
800
男
2
2
部门b
900
女
3
3
部门a
400
男
4
4
部门d
1400
女
5
5
部门e
1200
男
6
6
部门f
500
男
7
7
部门a
300
女
8
8
部门d
1000
男
9
9
部门d
1230
女
10
10
部门b
2000
女
11
11
部门c
2000
男
12
12
部门b
1200
男

SELECT
jcxm
as
部门,
COUNT
(seq)
as
人数,
SUM
(
CASE
SEX
WHEN
1
THEN
1
ELSE
0
END
)
as
男,
SUM
(
CASE
SEX
WHEN
2
THEN
1
ELSE
0
END
)
as
女,
SUM
(
CASE
SIGN
(zhi
-
800
)
WHEN
-
1
THEN
1
ELSE
0
END
)
as
小于800元,
SUM
((
CASE
SIGN
(zhi
-
800
)
*
SIGN
(zhi
-
1000
)

/**/
/*用*来实现<和>功能*/
WHEN
-
1
THEN
1
ELSE
0
END
)
+
(
CASE
zhi
WHEN
800
THEN
1
ELSE
0
END
))
as
从800至999,

/**/
/*注意别名不能以数字开头*/
SUM
((
CASE
SIGN
(zhi
-
1000
)
*
SIGN
(zhi
-
1200
)
WHEN
-
1
THEN
1
ELSE
0
END
)
+
(
CASE
zhi
WHEN
1000
THEN
1
ELSE
0
END
))
as
从1000元至1199元,
SUM
((
CASE
SIGN
(zhi
-
1200
)
WHEN
1
THEN
1
ELSE
0
END
)
+
(
CASE
zhi
WHEN
1200
THEN
1
ELSE
0
END
))
as
大于1200元
FroM
ttt
GROUP
BY
jcxm

部门名 人数 男 女 小于800元 从800至999 从1000元至1199元 大于1200元
部门a
3
2
1
2
1
0
0
部门b
3
1
2
0
1
0
2
部门c
1
1
0
0
0
0
1
部门d
3
1
2
0
0
1
2
部门e
1
1
0
0
0
0
1
部门f
1
1
0
1
0
0
0










































































































































































































































