1

Litteratur Hotgirlsfilm F Anime Authorship Fans Castle %B6%AF%C2%FE%D3%CE%CF%B7%D4%AD%B4%B4%C7%F8 SexInSex%21 Board Ca Souteze Hot Girls Film oracle snapcf_.f/ SNAPSHOT CONTROLFILE 什么作用？ | ANBOB

Litteratur Hotgirlsfilm F Anime Authorship Fans Castle %B6%AF%C2%FE%D3%CE%CF%B7%D4%AD%B4%B4%C7%F8 SexInSex%21 Board Ca Souteze Hot Girls Film

searcho %B6%AF%C2%FE%D3%CE%CF%B7%D4%AD%B4%B4%C7%F8 a Anime Authorship s %B6%AF%C2%FE%D3%CE%CF%B7%D4%AD%B4%B4%C7%F8 a SexInSex%21 3o Board g Souteze r Hotgirlsfilm s Castle isearchm Litteratur a0c Fans tm SexInSex%21 G Castle oasearch ar Board asearch3search0search6search4search0searchbsearchts
Fixed Size 741432 bytes
Variable Size 285212672 bytes
Database Buffers 33554432 bytes
Redo Buffers 1060864 bytes
Database mounted.
ORA-01589: must use RESETLOGS or NORESETLOGS option for database open
SQL>
ok，此时数据库可以mount起来了

SQL>
SQL> alter database open;
alter database open
*
ERROR at line 1:
ORA-01589: must use RESETLOGS or NORESETLOGS option for database open
SQL> alter database open resetlogs;
alter database open resetlogs
*
ERROR at line 1:
ORA-01194: file 1 needs more recovery to be consistent
ORA-01110: data file 1: ‘/u01/ora9a/oradata/tt9a/system01.dbf’
提示需要恢复
SQL> recover database using backup controlfile;
ORA-00279: change 349227 generated at 02/24/2009 10:49:58 needed for thread 1
ORA-00289: suggestion : /u01/arch/1_1.dbf
ORA-00280: change 349227 for thread 1 is in sequence #1
Specify log: {}
AUTO
ORA-00328: archived log ends at change 347581, need later change 349227
ORA-00334: archived log: ‘/u01/arch/1_1.dbf’
SQL> recover database using backup controlfile;
ORA-00279: change 349227 generated at 02/24/2009 10:49:58 needed for thread 1
ORA-00289: suggestion : /u01/arch/1_1.dbf
ORA-00280: change 349227 for thread 1 is in sequence #1
Specify log: {}
/u01/ora9a/oradata/tt9a/redo01.log
Log applied.
Media recovery complete.

SQL> alter database open resetlogs;

Database altered.

SQL>
恢复成功
SQL> select no,to_char(vdate,’yyyy-mm-dd hh24:mi:ss’) from test order by vdate;

NO TO_CHAR(VDATE,’YYYY-MM-DDHH24:MI:SS’)
———- ———————————————————
1 2009-02-24 10:16:09
2 2009-02-24 10:25:30
3 2009-02-24 10:26:56
4 2009-02-24 10:30:59
5 2009-02-24 10:51:01

SQL>
ok,新插入的数据也在。