非当前联机日志文件故障恢复 1.启动数据库时遇到ORA-00313,ORA-00312错误。 ORA-00313: open failed for members of log group
非当前联机日志文件故障恢复
1.启动数据库时遇到ORA-00313,ORA-00312错误。
ORA-00313: open failed for members of log group 1 of thread 1
ORA-00312: online log 1 thread 1: '/home/Oracle/oradata/s1/redo01.log'
2.查看v$log视图。
SQL> select * from v$log;
GROUP# THREAD# SEQUENCE# BYTES MEMBERS ARC STATUS FIRST_CHANGE# FIRST_TIM
---------- ---------- ---------- ---------- ---------- --- ---------------- ------------- ---------
1 1 11 52428800 1 YES INACTIVE 489912 09-NOV-12
3 1 10 52428800 1 YES INACTIVE 488868 08-NOV-12
2 1 12 52428800 1 NO CURRENT 519028 11-NOV-12
3.用clear命令重建该日志文件
如果该日志文件已经归档则:
SQL> alter database clear logfile group 1;
Database altered.
如果该日志文件还没有归档则:
SQL> alter database clear unarchived logfile group 3;
Database altered.
4.打开数据库,重新备份数据库(建议clear,特别是clear unarchived后做一次全备份)
SQL> alter database open;
Database altered.
当前联机日志文件故障恢复
归档模式下,当前日志文件损坏有两种情况
一、数据库正常关闭,日志文件中没有解决的事务要实例恢复,当前日志组的损坏可直接用户
alter database clear unarchived logfile group n来重建
二、日志文件中有活动事物,数据库需要介质恢复,有两种补救方法
a、在归档模式下,有可用备份
b、无可用备份,通过强制性恢复,但可能会导致数据库不一致
a.在归档模式下有可用备份(不完全恢复)
1.1.启动数据库时报错,并用v$log查看
ORA-00313: open failed for members of log group 1 of thread 1
ORA-00312: online log 1 thread 1: '/home/oracle/oradata/s1/redo01.log'
ORA-27037: unable to obtain file status
Linux Error: 2: No such file or directory
Additional information: 3
SQL> select * from v$log;
GROUP# THREAD# SEQUENCE# BYTES MEMBERS ARC STATUS FIRST_CHANGE# FIRST_TIM
---------- ---------- ---------- ---------- ---------- --- ---------------- ------------- ---------
1 1 16 52428800 1 NO CURRENT 520744 11-NOV-12
2 1 15 52428800 1 YES ACTIVE 520712 11-NOV-12
3 1 14 52428800 1 YES INACTIVE 520705 11-NOV-12
2.试用clear恢复
SQL> alter database clear logfile group 1;
SQL> alter database clear unarchived logfile group 1;
alter database clear unarchived logfile group 1
*
ERROR at line 1:
ORA-01624: log 1 needed for crash recovery of instance s1 (thread 1)
ORA-00312: online log 1 thread 1: '/home/oracle/oradata/s1/redo01.log'
3.执行recover database until cancel先用户auto后用cancel,报错如下:
SQL> recover database until cancel;
ORA-00279: change 520744 generated at 11/11/2012 22:43:39 needed for thread 1
ORA-00289: suggestion : /archive1/1_16_798842981.dbf
ORA-00280: change 520744 for thread 1 is in sequence #16
Specify log: {
auto
ORA-00308: cannot open archived log '/archive1/1_16_798842981.dbf'
ORA-27037: unable to obtain file status
Linux Error: 2: No such file or directory
Additional information: 3
ORA-00308: cannot open archived log '/archive1/1_16_798842981.dbf'
ORA-27037: unable to obtain file status
Linux Error: 2: No such file or directory
Additional information: 3
ORA-01547: warning: RECOVER succeeded but OPEN RESETLOGS would get error below
ORA-01194: file 1 needs more recovery to be consistent
ORA-01110: data file 1: '/home/oracle/oradata/s1/system01.dbf'
SQL> recover database until cancel;
ORA-00279: change 520744 generated at 11/11/2012 22:43:39 needed for thread 1
ORA-00289: suggestion : /archive1/1_16_798842981.dbf
ORA-00280: change 520744 for thread 1 is in sequence #16
Specify log: {
cancel
ORA-01547: warning: RECOVER succeeded but OPEN RESETLOGS would get error below
ORA-01194: file 1 needs more recovery to be consistent
ORA-01110: data file 1: '/home/oracle/oradata/s1/system01.dbf'
ORA-01112: media recovery not started
4.在rman下restore database;
RMAN> restore database;
5.在rman下recover database:报错如下:
RMAN> recover database;
Starting recover at 11-NOV-12
using channel ORA_DISK_1
starting media recovery
media recovery failed
RMAN-00571: ===========================================================
RMAN-00569: =============== ERROR MESSAGE STACK FOLLOWS ===============
RMAN-00571: ===========================================================
RMAN-03002: failure of recover command at 11/11/2012 22:54:15
ORA-00283: recovery session canceled due to errors
RMAN-11003: failure during parse/execution of SQL statement: alter database recover if needed
start
ORA-00283: recovery session canceled due to errors
ORA-00313: open failed for members of log group 1 of thread 1
ORA-00312: online log 1 thread 1: '/home/oracle/oradata/s1/redo01.log'
ORA-27037: unable to obtain file status
Linux Error: 2: No such file or directory
Additional information: 3

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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