用不用catalog数据库,信息都会放在控制文件。catalog目录数据库可存放详细历史信息和脚本,在维护多个数据库时通过它便于管理和
用不用catalog数据库,信息都会放在控制文件。
catalog目录数据库可存放详细历史信息和脚本,在维护多个数据库时通过它便于管理和查询。
backup catalog的内容:
备份信息
镜像拷贝信息
归档日志文件信息
目标数据库的物理结构信息
RMAN永久性配置信息
工作脚本
catalog的好处;
多个目标数据库信息存储在一个catalog数据库
一个目标数据库的多个incarnation信息
历史信息
报告目标数据库非当前时间的信息
创建catalog
1.在catalog数据库创建表空间
create tablespace cata datafile '/u01/oradata/shady/catalog_01.dbf' size 1024M segment space management auto extent management local uniform;
2.在catalog数据库创建catalog owner(即创建用户)
create user cata identified by cata default tablespace cata quota unlimited on cata;
3.授权
grant connect,resource to cata
grant recovery_catalog_owner to user1;
4.创建catalog
rman catalog cata/cata@pitts //pitts是一个目录数据库的标识
rman>create catalog tablespace cata;
5.连接目标数据库和目录数据库,注册到目录数据库
rman target sys/sys@XXWZ
rman>connect catalog cata/cata@pitts
rman>register database;
catalog数据库的维护之同步
控制文件记录保留时间:control_file_record_keep_time参数
同步做下面的工作:
创建一个控制文件的快照;
对比快照和catalog;
更新catalog中没有或改变的信息。
部分同步:除同步数据库物理结构外,即备份相关信息。
全同步:同步数据库物理结构。
当你执行一些特定的命令,如backup时,RMAN会执行自动同步。
你也可以手工执行全同步用resync catalog命令。
rman>resync catalog;
查看数据库incarnation信息
rman>list incarnation;
设置要恢复的incarnation
rman>reset database incarnation 2;
rman>restore database
rman>recover database
catalog视图(必须要用cata用户登录才能看到)
rc_database
rc_datafile
rc_stored_script
rc_stored_script_line
rc_tablespace
catalog的存储脚本
创建脚本
create script leve0backup //创建全局脚本create global script leve0backup
comment 'Script to Backup' //脚本注释
{
backup incremental level 0
format 'd:\backup\%d_%s_%p'
fileperset 5
(database include current controlfile)
sql 'alter system archive log current';
}
执行脚本
rman>run {execute script leve0backup;}
修改脚本
rman>replace script leve0backup{
backup incremental level 0
format 'd:\backup\%d_%s_%p'
fileperset 3
(database include current controlfile)
sql 'alter system archive log current';
}
删除脚本
rman>delete script leve0backup;
现实脚本内容
rman>print script leve0backup;或rman>print global script leve0backup;
把脚本保存到文件
rman>print script leve0backup to file 'd:\script\leve0backup.rman';

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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