Oracle创建恢复目录(catalog),在catalog数据库上创建cat用户的表空间。
Oracle创建恢复目录
1.在catalog数据库上创建cat用户的表空间
SQL> create tablespace cat datafile '/home/oracle/oradata/orcl/cat.dbf' size 512M;
2.创建cat用户
SQL> Create user cat identified by cat temporary tablespace temp default tablespace cat Quota unlimited on cat;
3.授权给cat用户
SQL> grant connect,resource to cat;
SQL> grant recovery_catalog_owner to cat;
4. 连接到catalog数据库
[oracle@orcl admin]$ rman catalog cat/cat@cat
5.创建恢复目录
RMAN> create catalog;
6. 在catalog中注册target数据库
[oracle@orcl admin]$ rman catalog cat/cat@cat target sys/xyc@rac;
RMAN> register database;
------------------------------------------------------------------------------------------------
7.注销target数据库
[oracle@orcl admin]$ rman catalog cat/cat@cat target sys/xyc@rac;
RMAN> unregister database;
或
为了能注销数据库,需要获得数据库的标识码(DB_ID)和数据库键值(DB_KEY)。其中连接目标数据库时将会获得DB_ID
连接到目标数据库,,查询db表:
SQL> select * from db;
DB_KEY DB_ID CURR_DBINC_KEY
---------- ---------- --------------
1 3021445076 2
SQL> execute dbms_rcvcat.unregisterdatabase(1,3021445076);

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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