操作系统和存储环境 Linux版本:[root@rac1 ~]# lsb_release -aLSB Version: :core-4.0-amd64:core-4.0-ia32:core-4.0-noarch:gr
操作系统和存储环境
Linux版本:
[root@rac1 ~]# lsb_release -a
LSB Version: :core-4.0-amd64:core-4.0-ia32:core-4.0-noarch:graphics-4.0-amd64:graphics-4.0-ia32:graphics-4.0-noarch:printing-4.0-amd64:printing-4.0-ia32:printing-4.0-noarch
Distributor ID: RedHatEnterpriseServer
Description: Red Hat Enterprise Linux Server release 5.6 (Tikanga)
Release: 5.6
Codename: Tikanga
内存状况
[root@rac1 Server]# free
total used free shared buffers cached
Mem: 4043728 714236 3329492 0 38784 431684
-/+ buffers/cache: 243768 3799960
Swap: 33551744 0 33551744
存储
从openfiler上分出几个lun,划出3个1GB的分区用作ocr和voting,3个100GB的分区用于数据文件的存储,3个60GB的分区用于闪回恢复区
接下来要安装2节点RAC,,安装介质可以直接使用11.2.0.3的patch
检查系统中是否安装了需要的包
新建用户组
groupadd -g 1000 oinstall
groupadd -g 1020 asmadmin
groupadd -g 1021 asmdba
groupadd -g 1031 dba
groupadd -g 1022 asmoper
创建用户
useradd -u 1100 -g oinstall -G asmadmin,asmdba,dba grid
useradd -u 1101 -g oinstall -G dba,asmdba Oracle
passwd oracle
passwd grid
grid用户的环境变量
if [ -t 0 ]; then
stty intr ^C
fi
export ORACLE_BASE=/opt/app/oracle
export ORACLE_HOME=/opt/app/11.2.0/grid
export ORACLE_SID=+ASM1
export PATH=$ORACLE_HOME/bin:$PATH
umask 022
oracle用户的环境变量
if [ -t 0 ]; then
stty intr ^C
fi
export ORACLE_BASE=/opt/app/oracle
export ORACLE_HOME=/opt/app/oracle/product/11.2.0/db_1
export ORACLE_SID=oradb_1
export PATH=$ORACLE_HOME/bin:$PATH
umask 022
root用户环境变量
export PATH=/opt/app/11.2.0/grid/bin:/opt/app/oracle/product/11.2.0/db_1/bin:$PATH
配置网络修改/etc/hosts文件
# Do not remove the following line, or various programs
# that require network functionality will fail.
127.0.0.1 localhost.localdomain localhost
# Public Network - (eth0,eth1---bond0)
192.168.106.241 rac1 rac1.wildwave.com
192.168.106.242 rac2 rac2.wildwave.com
# Private Interconnect - (eth2,eth3-bond1)
10.10.10.241 rac1-priv
10.10.10.242 rac2-priv
# Public Virtual IP (VIP) addresses for - (eth0,eth1---bond0)
192.168.106.243 rac1-vip rac1-vip.wildwave.com
192.168.106.244 rac2-vip rac2-vip.wildwave.com

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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