Oracle表空间设置为备份模式后,便可以联机对表空间下数据文件进行文件系统级别的copy备份操作,因为期间对表空间的修改都记录到
Oracle表空间设置为备份模式后,便可以联机对表空间下数据文件进行文件系统级别的copy备份操作,因为期间对表空间的修改都记录到数据库的重做日志文件中。
由此想到数据库如果是非归档模式,那么这个表空间备份模式的时间必须不能超过联机日志被覆盖的时间,,才能保证数据的修改不会丢失。
那么Oracle对这种情况是如何择决的呢?
实验表明:Oracle是干脆不让你在非归档模式下开启表空间的备份模式。
报错如下: ORA-01123: cannot start online backup; media recovery not enabled
实验验证如下: 环境:RHEL 6.4 + Oracle 11.2.0.3
1.归档模式下可以开启表空间的备份模式。
SQL> alter tablespace TT begin backup;
Tablespace altered.
SQL> host cp /home/oradata/JYZHAO/datafile/tt.dbf /tmp/
SQL> alter tablespace TT end backup;
Tablespace altered.
SQL> !ls -lh /tmp |grep tt
-rw-r-----. 1 oracle oinstall 11M Sep 17 17:06 tt.dbf
SQL> archive log list
Database log mode Archive Mode
Automatic archival Enabled
Archive destination USE_DB_RECOVERY_FILE_DEST
Oldest online log sequence 1876
Next log sequence to archive 1879
Current log sequence 1879
2.修改数据库为非归档模式下,发现表空间的备份模式开启将不被允许。
SQL> shutdown immediate
Database closed.
Database dismounted.
ORACLE instance shut down.
SQL> startup mount
ORACLE instance started.
Total System Global Area 413372416 bytes
Fixed Size 2228904 bytes
Variable Size 356519256 bytes
Database Buffers 46137344 bytes
Redo Buffers 8486912 bytes
Database mounted.
SQL> alter database noarchivelog;
Database altered.
SQL> archive log list
Database log mode No Archive Mode
Automatic archival Disabled
Archive destination USE_DB_RECOVERY_FILE_DEST
Oldest online log sequence 1876
Current log sequence 1879
SQL> alter database open;
Database altered.
SQL> alter tablespace TT begin backup;
alter tablespace TT begin backup
*
ERROR at line 1:
ORA-01123: cannot start online backup; media recovery not enabled
本文永久更新链接地址:

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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