(1)根据安装说明检查oracle10g所需的AIX包: bos.adt.base bos.adt.lib bos.adt.libm bos.perf.libperfstat bos.perf.
(1)根据安装说明检查Oracle10g所需的AIX包:
bos.adt.base
bos.adt.lib
bos.adt.libm
bos.perf.libperfstat
bos.perf.perfstat
bos.perf.proctools
xlC.aix50.rte:7.0.0.4 or later
xlC.rte:7.0.0.1 or later
进行下面的查询,,查看操作系统中是否已近安装了上述包:
(2)修改系统参数。启动 smit,修改系统最大进程数参数,将参数改为 2048
数据库的数据文件(包括system,user,sysaux,redo,undo,spfile,temp表空间的数据文件)需要存放在裸设备上,下面使用dbca创建 数据库所需要的步骤
1.给oracle的.profile文件中配置一个,dbca在裸设备上创建数据库需要的一个参数配置
export DBCA_CONFIG=/home/oracle/raw_mp.txt
2.创建逻辑卷,但是不要使用格式化创建的逻辑卷
mklv -y 'system' -t 'raw' rootvg 10
mklv -y 'sysaux' -t 'raw' rootvg 5
mklv -y 'users' -t 'raw' rootvg 3
mklv -y 'undotbs' -t 'raw' rootvg 3
mklv -y 'temp' -t 'raw' rootvg 3
mklv -y 'control1' -t 'raw' rootvg 3
mklv -y 'control2' -t 'raw' rootvg 3
mklv -y 'control3' -t 'raw' rootvg 3
mklv -y 'spfile' -t 'raw' rootvg 1
mklv -y 'redo' -t 'raw' rootvg 4
mklv -y 'redo2' -t 'raw' rootvg 4
mklv -y 'example' -t 'raw' rootvg 3
3.使用系统命令创建一个(touch /home/oracle/raw_mp.txt)文件,在文件中配置如下内容
system=/u01/oracle/oradata/orcl/system01.dbf
sysaux=/u01/oracle/oradata/orcl/sysaux01.dbf
users=/u01/oracle/oradata/orcl/users01.dbf
undotbs1=/u01/oracle/oradata/orcl/undotbs01.dbf
temp=/u01/oracle/oradata/orcl/temp01.dbf
control1=/u01/oracle/oradata/orcl/control01.ctl
control2=/u01/oracle/oradata/orcl/control02.ctl
control3=/u01/oracle/oradata/orcl/control03.ctl
redo1_1=/u01/oracle/oradata/orcl/redo01.log
redo1_2=/u01/oracle/oradata/orcl/redo02.log
example=/u01/oracle/oradata/orcl/example01.dbf
4.将/dev下面的裸设备的权限赋给oracle
chown oracle:oinstall /dev/system
chown oracle:oinstall /dev/system
chown oracle:oinstall /dev/sysaux
chown oracle:oinstall /dev/users
chown oracle:oinstall /dev/undotbs
chown oracle:oinstall /dev/temp
chown oracle:oinstall /dev/control1
chown oracle:oinstall /dev/control2
chown oracle:oinstall /dev/control3
chown oracle:oinstall /dev/spfile
chown oracle:oinstall /dev/redo
chown oracle:oinstall /dev/redo2
chown oracle:oinstall /dev/example
chown oracle:oinstall /dev/rsystem
chown oracle:oinstall /dev/rsysaux
chown oracle:oinstall /dev/rusers
chown oracle:oinstall /dev/rundotbs
chown oracle:oinstall /dev/rtemp
chown oracle:oinstall /dev/rcontrol1
chown oracle:oinstall /dev/rcontrol2
chown oracle:oinstall /dev/rcontrol3
chown oracle:oinstall /dev/rspfile
chown oracle:oinstall /dev/rredo
chown oracle:oinstall /dev/rredo2
chown oracle:oinstall /dev/rexample
5.给裸设备创建一个链接(一定要使用r开头的设备)
ln -s /dev/rsystem /u01/oracle/oradata/orcl/system01.dbf
ln -s /dev/rsysaux /u01/oracle/oradata/orcl/sysaux01.dbf
ln -s /dev/rusers /u01/oracle/oradata/orcl/users01.dbf
ln -s /dev/rundotbs /u01/oracle/oradata/orcl/undotbs01.dbf
ln -s /dev/rtemp /u01/oracle/oradata/orcl/temp01.dbf
ln -s /dev/rcontrol1 /u01/oracle/oradata/orcl/control01.ctl
ln -s /dev/rcontrol2 /u01/oracle/oradata/orcl/control02.ctl
ln -s /dev/rcontrol3 /u01/oracle/oradata/orcl/control03.ctl
ln -s /dev/rredo /u01/oracle/oradata/orcl/redo01.log
ln -s /dev/rredo2 /u01/oracle/oradata/orcl/redo02.log
ln -s /dev/rexample /u01/oracle/oradata/orcl/example01.dbf
6.如果中间报0509-136 symbol kaio_rdwr is not export from dependent module/unix错误,可以通过如下途 径解决
(1)smit aio
(2)change
(3)state to be configure at system restart avliable
(4)/usr/sbin/mkdev -l aio0;

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.


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