经过几天的折腾,终于安装成功Oracle11Gr Linux,开始安装了RS4.0下载了Oracle10g的若干版本,要么出现Oracle和Linux不兼容的问题,要么就是
经过几天的折腾,终于安装成功Oracle11G FOR Linux,开始安装了RS4.0下载了Oracle10g的若干版本,要么出现Oracle和Linux不兼容的问题,要么就是找不到inventory目录的问题,要么就是安装过程中不能启动net config的问题,,昨天经过大胆尝试终于成功,下面把自己的经验记录下来以做备忘:
1、下载RS5.0企业版,我是在迅雷里面下载的DVD版,不要忘了找个序列号,我找到一个Red Hat Enterprise Linux (Server including virtualization):
2515dd4e215225dd
2、到Oracle官方网站下载Oracle11G
下面我们就开始安装吧:
1。新建用户组
# /usr/sbin/groupadd oinstall
# /usr/sbin/groupadd dba
2。新建用户并设置密码
# /usr/sbin/useradd -g oinstall -G dba oracle
# passwd oracle
3.设置目录权权限
# chown -R oracle:oinstall /ora10g/app/oracle /ora10b/oradata
# chmod -R 775 /ora10g/app/oracle /ora10b/oradata
4.将下列配置加到 /etc/security/limits.conf 文件中:
soft nproc 2047
hard nproc 16384
soft nofile 1024
hard nofile 65536
增加下列配置到 /etc/pam.d/login 文件中:
session required /lib/security/pam_limits.so
对于单独使用Oracle用户的shell,增加下列脚本到配置文件/etc/profile 中:
if [ $USER = "oracle" ]; then
if [ $SHELL = "/bin/ksh" ]; then
ulimit -p 16384
ulimit -n 65536
else
ulimit -u 16384 -n 65536
fi
fi
设置用户oracle的环境变量
1。以用户oracle登录:
在配置文件.bash_profile文件中增加: umask 022 设置该用户的默认umask
执行$ . ./.bash_profile 配置生效。
2。设置临时文件目录
$ TEMP=/directory
$ TMPDIR=/directory
$ export TEMP TMPDIR
4。设置ORACLE_BASE和ORACLE_SID变量
$ ORACLE_BASE= /ora10g/app/oracle //这是在前面建立的Oracle的主程序目录
$ ORACLE_SID=sales
$ export ORACLE_BASE ORACLE_SID

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

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


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