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SQL高级查询

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 SQL高级查询 

找出某一列里最大或最小的前几个,或是大于或小于某一个值(最大值或平均值)的数据
1:找出公司里收入最高的前三名员工: 

SQL> select rownum, last_name, salary 
 2  from (select last_name, salary 
 3        from s_emp 
 4        order by salary desc) 
 5  where rownum<=3; 

   ROWNUM LAST_NAME                     SALARY 
---------- ------------------------- ---------- 
        1 Velasquez                       4750 
        2 Ropeburn                        2945 
        3 Nguyen                        2897.5 


注意:请大家分析一下一下语句为什么不对: 

SQL> select rownum, last_name, salary 
 2  from s_emp 
 3  where rownum<=3 
 4  order by salary desc; 

   ROWNUM LAST_NAME                     SALARY 
---------- ------------------------- ---------- 
        1 Velasquez                       4750 
        3 Nagayama                        2660 
        2 Ngao                            2000 


2: 找出表中的某一行或某几行的数据: 

(1):找出表中第三行数据: 
用以下方法是不行的,因为rownum后面至可以用<或<=号,不可以用=,>号和其它的比较符号。 

SQL> select * from s_emp 
 2  where rownum=3; 

no rows selected 

SQL> select * from s_emp 
 2  where rownum between 3 and 5; 

no rows selected 

正确的方法如下: 

SQL> l 
 1  select last_name, salary 
 2  from (select rownum a, b.* 
 3        from s_emp b) 
 4* where a=3 
SQL> / 

LAST_NAME                     SALARY 
------------------------- ---------- 
Nagayama                        2660 

(2):找出第三行到第五行之间的数据: 
SQL> l 
 1  select last_name, salary 
 2  from (select rownum a, b.* 
 3        from s_emp b) 
 4* where a between 3 and 5 
SQL> / 

LAST_NAME                     SALARY 
------------------------- ---------- 
Nagayama                        2660 
Quick-To-See                    2755 
Ropeburn                        2945 

3:找出那些工资高于他们所在部门的平均工资的员工。 

(1):第一种方法: 
SQL> select last_name, dept_id, salary 
 2  from s_emp a 
 3  where salary>(select avg(salary) 
 4                from s_emp 
 5                where dept_id=a.dept_id); 

LAST_NAME                    DEPT_ID     SALARY 
------------------------- ---------- ---------- 
Velasquez                         50       4750 
Urguhart                          41       2280 
Menchu                            42       2375 
Biri                              43       2090 
Catchpole                         44       2470 
Havel                             45     2483.3 
Nguyen                            34     2897.5 
Maduro                            41       2660 
Nozaki                            42       2280 
Schwartz                          45       2090 

10 rows selected. 

(2):第二种方法: 
SQL> l 
 1  select a.last_name, a.salary, a.dept_id, b.avgsal 
 2  from s_emp a, (select dept_id, avg(salary) avgsal 
 3               from s_emp 
 4               group by dept_id) b 
 5  where a.dept_id=b.dept_id 
 6* and a.salary>b.avgsal 
SQL> / 

LAST_NAME                     SALARY    DEPT_ID     AVGSAL 
------------------------- ---------- ---------- ---------- 
Velasquez                       4750         50     3847.5 
Urguhart                        2280         41     2181.5 
Menchu                          2375         42 2055.16667 
Biri                            2090         43       1710 
Catchpole                       2470         44       1995 
Havel                         2483.3         45     2069.1 
Nguyen                        2897.5         34       2204 
Maduro                          2660         41     2181.5 
Nozaki                          2280         42 2055.16667 
Schwartz                        2090         45     2069.1 

10 rows selected. 

4:找出那些工资高于他们所在部门的manager的工资的员工。 

SQL> l 
 1  select id, last_name, salary, manager_id 
 2  from s_emp a 
 3  where salary>(select salary 
 4                from s_emp 
 5*               where id=a.manager_id) 
SQL> / 

       ID LAST_NAME                     SALARY MANAGER_ID 
---------- ------------------------- ---------- ---------- 
        6 Urguhart                        2280          2 
        7 Menchu                          2375          2 
        8 Biri                            2090          2 
        9 Catchpole                       2470          2 
       10 Havel                         2483.3          2 
       12 Giljum                          2831          3 
       13 Sedeghi                       2878.5          3 
       14 Nguyen                        2897.5          3 
       15 Dumas                           2755          3 
       16 Maduro                          2660          6 

10 rows selected. 

第一题:有两个表分别如下: 
表A(varchar(32) NAME,int GRADE) 
数据: 
ZHANGSHAN 80 
LISI      60 
WANGWU    84 

表B(varchar(32) NAME,int AGE) 
数据: 
ZHANGSHAN 26 
LISI      24 
WANGWU    26 
WUTIAN    26 

(1)写SQL语句得到如下查询结果: 
NAME      GRADE   AGE     
ZHANGSHAN 80      26 
LISI      60      24 
WANGWU    84      26 
WUTIAN    NULL    26 
疑问:这里的没有成绩的那个人的记录怎么得到呢? 

(2)写SQl语句根据名字(NAME)相同按年龄(AGE)分组得到不同年龄的人的平均成绩,并写出结果。 
疑问:按照名字相同,WUTIAN这个人没有成绩该不该把他统计在内呢? 

(3)有一个数据库表dept中有如下数据: 
id_no id_name 
1000  S1 
1001  S2 
1002  S3 
1003  S4 
1000  S5 
1000  S6 
1001  S7 
表中有id_no重复,如id_no为1000的有3条记录,如id_no为1001的有2条记录, 
现在要按照id_no给表建索引,需要删除id_no重复了的那些记录,但不能删掉所有拥有该id_no的记录,必需保留一条拥有该id_no的记录(如id_no为1000的只剩下一条记录) 

(1)请写出SQl语句(或SQL语句组),查询所有id_no重复的记录。 

(2)请写出SQl语句实现题目要求的结果。  

1: 
SQL> create table a 
 2  (name varchar2(32), 
 3  grade int); 
Table created. 
SQL> insert into a_t 
 2  values('&a',&b); 
Enter value for a: zhangshan 
Enter value for b: 80 
old   2: values('&a',&b) 
new   2: values('zhangshan',80) 

1 row created. 

SQL> / 
Enter value for a: lisi 
Enter value for b: 60 
old   2: values('&a',&b) 
new   2: values('lisi',60) 

1 row created. 

SQL> / 
Enter value for a: wangwu 
Enter value for b: 84 
old   2: values('&a',&b) 
new   2: values('wangwu',84) 

1 row created. 

SQL> commit; 

Commit complete. 

SQL> create table b_t 
 2  (name varchar2(32), 
 3  age int); 

Table created. 

SQL> insert into b_t 
 2  values('&a',&b); 
Enter value for a: zhangshan 
Enter value for b: 26 
old   2: values('&a',&b) 
new   2: values('zhangshan',26) 

1 row created. 

SQL> / 
Enter value for a: lisi 
Enter value for b: 24 
old   2: values('&a',&b) 
new   2: values('lisi',24) 

1 row created. 

SQL> / 
Enter value for a: wangwu 
Enter value for b: 26 
old   2: values('&a',&b) 
new   2: values('wangwu',26) 

1 row created. 

SQL> / 
Enter value for a: wutian 
Enter value for b: 26 
old   2: values('&a',&b) 
new   2: values('wutian',26) 

1 row created. 

SQL> commit; 

Commit complete. 

SQL> 
SQL> col grade null 'null' 
SQL> l 
 1  select b.name, a.grade, b.age 
 2  from a_t a,b_t b 
 3* where a.name(+)=b.name 
SQL> / 

NAME                                  GRADE        AGE 
-------------------------------- ---------- ---------- 
lisi                                     60         24 
wangwu                                   84         26 
wutian                           null               26 
zhangshan                                80         26 

SQL> 

2: 
SQL> l 
 1  select name, avg(grade), age 
 2  from (select b.name name, a.grade grade, b.age age 
 3  from a_t a,b_t b 
 4  where a.name(+)=b.name) 
 5* group by age, name 
SQL> / 

NAME                             AVG(GRADE)        AGE 
-------------------------------- ---------- ---------- 
lisi                                     60         24 
wangwu                                   84         26 
wutian                                              26 
zhangshan                                80         26 

SWUTIAN这个人没有成绩不把他统计在内 
3: 
1、当我们想要为一个表创建唯一索引时,如果该表有重复的记录,则无法创建成功。 
方法原理: 
1、Oracle中,每一条记录都有一个rowid,rowid在整个数据库中是唯一的, 
  rowid确定了每条记录是在ORACLE中的哪一个数据文件、块、行上。 

2、在重复的记录中,可能所有列的内容都相同,但rowid不会相同,所以只要确定出重复记录中 
  那些具有最大rowid的就可以了,其余全部删除。 

3、以下语句用到了3项技巧:rowid、子查询、别名。 

实现方法: 
SQL> create table a ( 
2 bm char(4), --编码 
3 mc varchar2(20) --名称 
4 ) 
5 / 

表已建立. 

SQL> insert into a values('1111','1111'); 
SQL> insert into a values('1112','1111'); 
SQL> insert into a values('1113','1111'); 
SQL> insert into a values('1114','1111'); 

SQL> insert into a select * from a; 

插入4个记录. 

SQL> commit; 
SQL> select rowid,bm,mc from a; 

ROWID BM MC 
------------------ ---- ------- 
000000D5.0000.0002 1111 1111 
000000D5.0001.0002 1112 1111 
000000D5.0002.0002 1113 1111 
000000D5.0003.0002 1114 1111 
000000D5.0004.0002 1111 1111 
000000D5.0005.0002 1112 1111 
000000D5.0006.0002 1113 1111 
000000D5.0007.0002 1114 1111 

查询到8记录. 


查出重复记录 
SQL> select rowid,bm,mc from a where a.rowid!=(select max(rowid) from a b where a.bm=b.bm and a.mc=b.mc); 

ROWID BM MC 
------------------ ---- -------------------- 
000000D5.0000.0002 1111 1111 
000000D5.0001.0002 1112 1111 
000000D5.0002.0002 1113 1111 
000000D5.0003.0002 1114 1111 

删除重复记录 
SQL> delete from a a where a.rowid!=(select max(rowid) from a b where a.bm=b.bm and a.mc=b.mc); 

删除4个记录. 

SQL> select rowid,bm,mc from a; 

ROWID BM MC 
------------------ ---- -------------------- 
000000D5.0004.0002 1111 1111 
000000D5.0005.0002 1112 1111 
000000D5.0006.0002 1113 1111 
000000D5.0007.0002 1114 1111 

其实方法有很多,用IN 或者用GROUP BY同样可以实现: 
1: 使用IN: 

A) 找出重复数据: 
SQL> l 
 1  select rowid, e.* from a e 
 2* where e.rowid>(select min(x.rowid) from a x where x.bm=e.bm and x.mc=e.mc); 
ROWID              BM   MC 
------------------ ---- -------------------- 
AAABdcAAGAAAAYyAAE 1111 1111 
AAABdcAAGAAAAYyAAF 1112 1111 
AAABdcAAGAAAAYyAAG 1113 1111 
AAABdcAAGAAAAYyAAH 1114 1111 

B) 删除重复数据: 
SQL> l 
 1  delete from a 
 2  where rowid in (select rowid from a e 
 3* where e.rowid>(select min(x.rowid) from a x where x.bm=e.bm and x.mc=e.mc)) 
SQL> / 

4 rows deleted. 

SQL> select * from a; 

BM   MC 
---- -------------------- 
1111 1111 
1112 1111 
1113 1111 
1114 1111 

SQL> 

2: 使用GROUP BY: 

A): 找出重复数据: 
SQL> l 
 1  select bm,mc 
 2  from a 
 3  group by bm,mc 
 4* having count(*)>1 
SQL> / 

BM   MC 
---- -------------------- 
1111 1111 
1112 1111 
1113 1111 
1114 1111 

SQL> 

B) 删除重复数据: 
SQL> delete from a 
 2  where (bm,mc) in (select bm,mc 
 3                    from a 
 4                    group by bm,mc 
 5                    having count(*)>1) 
 6  and rowid not in (select min(rowid) 
 7                    from a 
 8                    group by bm,mc 
 9                    having count(*)>1); 

4 rows deleted. 

SQL> select * from a; 

BM   MC 
---- -------------------- 
1111 1111 
1112 1111 
1113 1111 
1114 1111 

SQL> 

 

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