linux下系统开机oracle自启动 以root身份登录: $su - root 1、linux下oracle自带的dbstart和dbshut没反应: 修改Oracle系统配置文档/etc/oratab文档: #vi /etc/oratab /etc/oratab 格式为: SID:ORACLE_HOME:AUTO 把AUTO域配置为Y(大写),我的为: oradb:/
linux下系统开机oracle自启动
以root身份登录:
$su - root
1、linux下oracle自带的dbstart和dbshut没反应:
修改Oracle系统配置文档/etc/oratab文档: #vi /etc/oratab
/etc/oratab 格式为: SID:ORACLE_HOME:AUTO
把AUTO域配置为Y(大写),我的为:
oradb:/opt/u01/app/oracle/product/9.2.0.4:Y
只有这样,oracle 自带的dbstart和dbshut才能够发挥作用。
2、修改/etc/rc.d/rc.local配置文档
在/etc/rc.d/rc.local中加入如下内容: #vi /etc/rc.d/rc.local
su - oracle -c "/u01/app/oracle/product/9.2.0.4/bin/lsnrctl start"
su - oracle -c "/u01/app/oracle/product/9.2.0.4/bin/dbstart start"
3、重新启动
#reboot
、
ORACLE11G 导入、导出::
oracle11g用exp导出数据库的时候,空表是导不出来的,所以必须用数据泵导入导出oracle数据库。
1、expdp
SQL> create directory 目录名(如:dmpbx) as 存储地址(如:'/root/usr/……');
目录已创建。
SQL> grant read,write on directory 目录名 to public;
授权成功。
SQL> exit
expdp 用户名1/密码@实例 dumpfile=备份文件名(ecology.dmp) directory= 目录名(dmpbx)
2、impdp
SQL> create directory 目录名(如:dmpbx) as 存储地址(如:'/root/usr/……');
目录已创建。
SQL> grant read,write on directory 目录名 to public;
授权成功。
SQL> exit
impdp 用户名2/密码@实例 directory=目录名 dumpfile=备份文件名.dmp logfile=日志名.log REMAP_SCHEMA=用户名1:用户名2
如果impdp是在同一台机器上操作的,则impdp前的创建目录和赋权的步骤都可以省略。
注意::文件权限问题,,实例名=服务名
chown,chmod设置
一些ORA错误::
ORA-00845: MEMORY_TARGET not supported on this system
修改/dev/shm的大小可以通过修改/etc/fstab来实现:
[root@db2 ~]# df -h /dev/shm //查看/dev/shm大小
tmpfs 1.0G 500M 500M 50% /dev/shm
[root@db2 ~]#vi /etc/fstab //更换/dev/shm默认大小为2G
LABEL=/ / ext3 defaults 1 1
LABEL=/boot /boot ext3 defaults 1 2
#tmpfs /dev/shm tmpfs defaults 0 0
tmpfs /dev/shm tmpfs defaults,size=2048M 0 0
devpts /dev/pts devpts gid=5,mode=620 0 0
sysfs /sys sysfs defaults 0 0
proc /proc proc defaults 0 0
LABEL=SWAP-hda3 swap swap defaults 0 0
mount -o remount /dev/shm
ORA-01102: cannot mount database in EXCLUSIVE mode
/opt/oracle/ordata/orcl200
fuser -u lk*
fuser -k lk*

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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