探索Oracle之RMAN_04非一致性备份,操作非常的简单。只需要一条很短的命令即可完成,但是如果要创建一正式库的备份,一般不建议用
在上一篇中提到了数据库的一致性备份(见 探索Oracle之RMAN_03非一致性备份 ),,操作非常的简单。只需要一条很短的命令即可完成,但是如果要创建一正式库的备份,一般不建议用一致性备份,也不建议用很简单的名来完成。而是更多的采用脚本实现非一致性备份,这样将可通过backup+archive log+redo有效的将数据恢复到最近一次改变的状态,可以达到数据的丢失最小化。
相关阅读:
探索Oracle之RMAN_01概念
探索Oracle之RMAN_02基本使用
探索Oracle之RMAN_03非一致性备份
探索Oracle之RMAN_04非一致性备份
探索Oracle之RMAN_05增量备份
探索Oracle之RMAN_06备份策略
创建非一致性备份
并且可以在数据库打开并不影响业务的情况下完成数据的备份工作;那么这样的备份将是不一致性的备份,那么如果要恢复可以通过backup+archive log+redo来恢复到最近一次日志切换时候的数据,而不是最后一次备份时候的数据。
1.1检查归档状态:
SQL> archive log list;
Database log mode No Archive Mode
Automaticarchival Disabled
Archivedestination USE_DB_RECOVERY_FILE_DEST
Oldest onlinelog sequence 9
Current logsequence 11
SQL>
必须打开归档归档
状态
Databaseclosed.
Databasedismounted.
ORACLE instanceshut down.
SQL> startup mount;
ORACLE instancestarted.
Total SystemGlobal Area 285212672 bytes
Fixed Size 1218968 bytes
VariableSize 79693416 bytes
DatabaseBuffers 197132288 bytes
RedoBuffers 7168000 bytes
Databasemounted.
Databasealtered.
Databasealtered.
SQL> colinstance_name format a15
INSTANCE_NAME STATUS
---------------------------------------
WWL OPEN
SQL>
SQL> archive log list; ------查看归档状态,已经是归档状态了
Database log mode Archive Mode
Automatic archival Enabled
Archivedestination USE_DB_RECOVERY_FILE_DEST
Oldest onlinelog sequence 9
Next logsequence to archive 11
Current logsequence 11
SQL>
1.2执行备份 (执行备份命令实际上是跟一致性备份是一样的)
1.2.1 备份数据库
RMAN> backup database;
Starting backupat 23-MAY-12
allocatedchannel: ORA_DISK_1
channelORA_DISK_1: sid=145 devtype=DISK
channelORA_DISK_1: starting full datafile backupset
channelORA_DISK_1: specifying datafile(s) in backupset
input datafilefno=00001 name=/DBData/WWL/system01.dbf
input datafilefno=00003 name=/DBData/WWL/sysaux01.dbf
input datafilefno=00002 name=/DBData/WWL/undotbs01.dbf
input datafilefno=00004 name=/DBData/WWL/users01.dbf
channelORA_DISK_1: starting piece 1 at 23-MAY-12
channelORA_DISK_1: finished piece 1 at 23-MAY-12
piecehandle=/DBBak/bak_WWL_05_23_0anbmtkr_1_1 tag=TAG20120523T121210 comment=NONE
channelORA_DISK_1: backup set complete, elapsed time: 00:01:46
Finished backupat 23-MAY-12
Starting ControlFile and SPFILE Autobackup at 23-MAY-12
piecehandle=/DBSoft/product/10.2.0/db_1/dbs/c-5520179-20120523-00 comment=NONE
Finished ControlFile and SPFILE Autobackup at 23-MAY-12
RMAN>

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

SublimeText3 Chinese version
Chinese version, very easy to use

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment