数据文件位置调整

1、关闭数据库
shutdown immediate;
2、移动数据文件
mv /u01/ora10g/oradata/ggtarget /u02/ora10g/oradata
3、数据库至于nomount状态
startup nomount;
4、创建pfile
create pfile from spfile;
5、修改pfile中control_files
6、使用pfile把数据库至于mount状态
shutdown immediate;
startup mount pfile=/u01/ora10g/product/10.2.0/db_1/dbs/initggtarge.ora;
7、修改文件位置

--查询select name from v$datafile;
alter database rename file '/u01/ora10g/oradata/ggtarge/system01.dbf' to '/u02/ora10g/oradata/ggtarge/system01.dbf';
alter database rename file '/u01/ora10g/oradata/ggtarge/undotbs01.dbf' to '/u02/ora10g/oradata/ggtarge/undotbs01.dbf';
alter database rename file '/u01/ora10g/oradata/ggtarge/sysaux01.dbf' to '/u02/ora10g/oradata/ggtarge/sysaux01.dbf';
alter database rename file '/u01/ora10g/oradata/ggtarge/users01.dbf' to '/u02/ora10g/oradata/ggtarge/users01.dbf';
 --查询select member from v$logfile;
alter database rename file '/u01/ora10g/oradata/ggtarge/redo01.log' to '/u02/ora10g/oradata/ggtarge/redo01.log';
alter database rename file '/u01/ora10g/oradata/ggtarge/redo02.log' to '/u02/ora10g/oradata/ggtarge/redo02.log';
--查询select name from v$tempfile;
alter database rename file '/u01/ora10g/oradata/ggtarge/temp01.dbf' to '/u02/ora10g/oradata/ggtarge/temp01.dbf';

8、创建spfile
create spfile to pfile;
9、重启数据库使用spfile启动
shutdown immediate;
startup;

ssh等效连接配置

1、配置SSH(两台机器上均需执行)
A、以ORACLE用户登陆

mkdir ~/.ssh
chmod 700 ~/.ssh

B、使用SSH-KEYGEN生成SSH协议的RSA密钥

ssh-keygen -t rsa

2、添加密钥到授权密钥文件(任意一台机器上执行)
以下三条命令在11.1.1.2上执行

ssh 11.1.1.2 cat /home/oracle/.ssh/id_rsa.pub>>authorized_keys
ssh 11.1.1.3 cat /home/oracle/.ssh/id_rsa.pub>>authorized_keys
scp authorized_keys 11.1.1.3:/home/oracle/.ssh/

chmod 600 ~/.ssh/authorized_keys (两台机器均需要执行)

3、测试(两台机器上均执行)

ssh 11.1.1.2 date
ssh 11.1.1.3 date

如果不要求输入密码就出现系统日期,说明SSH配置成功(第一次可能需要输入yes)

grouping_id()使用

1、创建表

desc test_rollup;
Name        Type         Nullable Default Comments 
----------- ------------ -------- ------- -------- 
TYPE_NAME   VARCHAR2(10) Y                         
TYPE_VALUE  NUMBER       Y                         
TYPE_NAME2  VARCHAR2(10) Y                         
TYPE_VALUE2 NUMBER       Y  

2、插入数据

select * from test_rollup;
 
TYPE_NAME  TYPE_VALUE TYPE_NAME2 TYPE_VALUE2
---------- ---------- ---------- -----------
a                 123 t1                 120
a                 423 t2                 200
a                 523 t1                 555
b                 223 x1                 504
b                 283 x2                 484
c                 103 y1                 333
c                 843 y2                 984
c                 899 y2                 151
c                 100 y2                 150
d                 204 s1                 606
 
10 rows selected

3、使用grouping_id查询结果

 select type_name,
        type_name2,
        decode(grouping_id(type_name), 0, type_name, '总计')g_type,
        decode(grouping_id(type_name2), 0, type_name2, decode(grouping_id(type_name),0,'小计','总计'))g2_type,
        grouping_id(type_name, type_name2)gg_type,
        sum(type_value),
        sum(type_value2)
   from test_rollup
  group by rollup(type_name, type_name2);
TYPE_NAME  TYPE_NAME2 G_TYPE     G2_TYPE       GG_TYPE SUM(TYPE_VALUE) SUM(TYPE_VALUE2)
---------- ---------- ---------- ---------- ---------- --------------- ----------------
a          t1         a          t1                  0             646              675
a          t2         a          t2                  0             423              200
a                     a          小计                1            1069              875
b          x1         b          x1                  0             223              504
b          x2         b          x2                  0             283              484
b                     b          小计                1             506              988
c          y1         c          y1                  0             103              333
c          y2         c          y2                  0            1842             1285
c                     c          小计                1            1945             1618
d          s1         d          s1                  0             204              606
d                     d          小计                1             204              606
                      总计       总计                3            3724             4087
 
12 rows selected

rollup和grouping使用

1、创建表

create table test_rollup
(
type_name varchar2(10),
type_value number
);

2、插入数据结果

select * from test_rollup;
a	123
a	423
a	523
b	223
b	283
c	103
c	843
c	899
c	100

3、使用rollup函数

select type_name, sum(type_value)
  from test_rollup
 group by rollup(type_name);
a	1069
b	506
c	1945
	3520

4、使用rollup和grouping函数

select type_name, sum(type_value), grouping(type_name)
  from test_rollup
 group by rollup(type_name);
a	1069	0
b	506	0
c	1945	0
	3520	1

5、显示统计信息

select decode(grouping(type_name), 0, type_name, '总计'), sum(type_value)
  from test_rollup
 group by rollup(type_name);
a	1069
b	506
c	1945
总计	3520