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