| NO |
MONEY |
DAY |
| 1 |
23 |
1 |
| 1 |
43 |
2 |
| 1 |
-45 |
3 |
| 2 |
42 |
1 |
| 2 |
-10 |
2 |
| 2 |
50 |
3 |
| 3 |
100 |
8 |
为了符合阅读习惯,最终报表希望是如下格式:
| NO |
MON |
TUE |
THR |
| 1 |
23 |
43 |
-45 |
| 2 |
42 |
-10 |
50 |
| 3 |
|
|
|
------------------------
咱们一步步来实现:
1.运用DECODE转换行为列
SQL:
SELECT NO,
DECODE(DAY,1,MONEY,) DAY1,
DECODE(DAY,2,MONEY,) DAY2,
DECODE(DAY,3,MONEY,) DAY3
FROM TEMP
结果:
| NO |
DAY1 |
DAY2 |
DAY3 |
| 1 |
23 |
|
|
| 1 |
|
43 |
|
| 1 |
|
|
-45 |
| 2 |
42 |
|
|
| 2 |
|
-10 |
|
| 2 |
|
|
50 |
| 3 |
|
|
|
2.按NO字段分组,并更改列名
SQL:
SELECT NO, MAX(DAY1) MON, MAX(DAY2) TUE, MAX(DAY3) THR
FROM (SELECT NO,
DECODE(DAY, 1, MONEY,) DAY1,
DECODE(DAY, 2, MONEY,) DAY2,
DECODE(DAY, 3, MONEY,) DAY3
FROM TEMP)
GROUP BY NO;
结果:
| NO |
MON |
TUE |
THR |
| 1 |
23 |
43 |
-45 |
| 2 |
42 |
-10 |
50 |
| 3 |
|
|
|
------------------------
重难点归纳:
1.DECODE缺省值设置
DECODE语法如下:decode(条件,值1,翻译值1,值2,翻译值2,...值n,翻译值n,缺省值)
如果缺省值由(两个单引号)改为0,即SQL:
SELECT NO, MAX(DAY1) MON, MAX(DAY2) TUE, MAX(DAY3) THR
FROM (SELECT NO,
DECODE(DAY, 1, MONEY,0) DAY1,
DECODE(DAY, 2, MONEY,0) DAY2,
DECODE(DAY, 3, MONEY,0) DAY3
FROM TEMP)
GROUP BY NO;
结果如下(所有值为负与空值都被赋为0):
| NO |
MON |
TUE |
THR |
| 1 |
23 |
43 |
0 |
| 2 |
42 |
0 |
50 |
| 3 |
0 |
0 |
0 |
2.列缺省值设置(DAY值为8的显示为undefined)
SQL:
SELECT NO,MONEY,
DECODE(DAY,1,MON,2,TUE,3,THR,undefined) DAY
FROM TEMP
结果:
| NO |
MONEY |
DAY |
| 1 |
23 |
MON |
| 1 |
43 |
TUE |
| 1 |
-45 |
THR |
| 2 |
42 |
MON |
| 2 |
-10 |
TUE |
| 2 |
50 |
THR |
| 3 |
100 |
undefined |
3.行列转化在表单内数据量较大的情况下消耗较大
原因:
1.扫描目标数据时间开销大 。
2.GROUP BY时,数据冗余带来的多行合并 。
优点:
表结构稳定:DAY增加新值只需增加记录,无需新增新列!
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