在前面的单实例数据库迁移至rac环境配置过程中(见 http://www.linuxidc.com/Linux/2012-01/52055.htm ),介绍了使用standby技术
在前面的单实例数据库迁移至rac环境配置过程中(见 ),,介绍了使用standby技术构建单实例主库对应rac物理备库的data guard模型,本节中将介绍rac主库对应单实例物理备库的data guard模型构建;在MAA架构中,ASM提供了存储方面的网格,RAC提供了数据库层面上的网格计算,data guard则着重强调在数据的备份和容灾方面,更多MAA方面的知识,参考下面的链接!
一:主备库的环境介绍
主库:
数据库版本:10.2.0.5
OS版本:CentOS4.8 64位
数据库名:rac(两个实例)
实例名:rac1,rac2
IP地址:192.168.1.41/24,192.168.1.42/24
db_unique_name: rac
服务名:rac.yang.com
监听器端口:1521
存储类型:OMF+ASM磁盘组,+DATA,+FRA
备库:
数据库版本:10.2.0.5
OS版本:rhel5.4 64位
数据库名:rac (单实例)
实例名:orcl
IP地址:192.168.1.49/24
db_unique_name: orcl
服务名:orcl.yang.com
监听器端口:1521
存储类型:文件系统+OMF
在开始前确保主库rac环境正常,备库只需要安装数据库软件即可,不需要建库
[Oracle@rac1 ~]$ crs_stat -t -v
Name Type R/RA F/FT Target State Host
----------------------------------------------------------------------
ora.rac.db application 0/0 0/1 ONLINE ONLINE rac1
ora....c1.inst application 0/5 0/0 ONLINE ONLINE rac1
ora....c2.inst application 0/5 0/0 ONLINE ONLINE rac2
ora....SM1.asm application 0/5 0/0 ONLINE ONLINE rac1
ora....C1.lsnr application 0/5 0/0 ONLINE ONLINE rac1
ora.rac1.gsd application 0/5 0/0 ONLINE ONLINE rac1
ora.rac1.ons application 0/3 0/0 ONLINE ONLINE rac1
ora.rac1.vip application 0/0 0/0 ONLINE ONLINE rac1
ora....SM2.asm application 0/5 0/0 ONLINE ONLINE rac2
ora....C2.lsnr application 0/5 0/0 ONLINE ONLINE rac2
ora.rac2.gsd application 0/5 0/0 ONLINE ONLINE rac2
ora.rac2.ons application 0/3 0/0 ONLINE ONLINE rac2
ora.rac2.vip application 0/0 0/0 ONLINE ONLINE rac2
二:配置监听器和tnsnames.ora文件如下,rac节点2上需要同样进行配置
[oracle@rac1 ~]$ cat $ORACLE_HOME/network/admin/listener.ora
LISTENER_RAC1 =
(DESCRIPTION_LIST =
(DESCRIPTION =
(ADDRESS = (PROTOCOL = TCP)(HOST = rac1-vip.yang.com)(PORT = 1521)(IP = FIRST))
(ADDRESS = (PROTOCOL = TCP)(HOST = 192.168.1.41)(PORT = 1521)(IP = FIRST))
)
)
SID_LIST_LISTENER_RAC1 =
(SID_LIST =
(SID_DESC =
(ORACLE_HOME = /u01/app/oracle/product/10.2.0/db_1)
(GLOBAL_DBNAME=rac_DGMGRL.yang.com)
(SID_NAME = rac1)
)
)
Connected to:
Oracle Database 10g Enterprise Edition Release 10.2.0.5.0 - 64bit Production
With the Partitioning, Real Application Clusters, OLAP, Data Mining
and Real Application Testing options
SQL>
[oracle@rac1 ~]$ cat $ORACLE_HOME/admin/tnsnames.ora
LISTENERS_RAC =
(ADDRESS_LIST =
(ADDRESS = (PROTOCOL = TCP)(HOST = rac1-vip.yang.com)(PORT = 1521))
(ADDRESS = (PROTOCOL = TCP)(HOST = rac2-vip.yang.com)(PORT = 1521))
)
LISTENER_RAC1 =
(ADDRESS_LIST =
(ADDRESS = (PROTOCOL = TCP)(HOST = rac1-vip.yang.com)(PORT = 1521))
)
LISTENER_RAC2 =
(ADDRESS_LIST =
(ADDRESS = (PROTOCOL = TCP)(HOST = rac1-vip.yang.com)(PORT = 1521))
)
RAC =
(DESCRIPTION =
(ADDRESS = (PROTOCOL = TCP)(HOST = rac1-vip.yang.com)(PORT = 1521))
(ADDRESS = (PROTOCOL = TCP)(HOST = rac2-vip.yang.com)(PORT = 1521))
(LOAD_BALANCE = yes)
(CONNECT_DATA =
(SERVER = DEDICATED)
(SERVICE_NAME = rac.yang.com)
)
)

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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