Linux平台下使用RMAN进行Oracle数据库迁移
将oracle数据库从一台机器迁移到另外的一台机器(同为linux平台),设置为不同的路径,不同的实例名
实验目的:将Oracle数据库从一台机器迁移到另外的一台机器(同为linux平台),,设置为不同的路径,不同的实例名
源端:
ORACLE_BASE=/u01/app/oracle
ORACLE_HOME=/u01/app/oracle/product/10.2.0/db_1
ORACLE_SID=test
数据文件位置:/oradata/test
目标端:
ORACLE_BASE=/u02/app/oracle
ORACLE_HOME=/u02/app/oracle/product/10.2.0/db_1
ORALCE_SID=test2
数据文件位置:/oradata2/test2
注:两台主机非一台,但是主机名一致均为model.rhel5
第一步:在源端取得备份数据
查询一下MAI用户下的数据,做最后校验使用
MAI@test > select * from tab;
TNAME TABTYPE CLUSTERID
------------------------------ ------- ----------
BONUS TABLE
DEPT TABLE
EMP TABLE
SALGRADE TABLE
TEST TABLE
TEST01 TABLE
开始备份:
$ oracle@model /mnt/hgfs/software/backup> rman target /
RMAN> run{
2> allocate channel c1 device type disk format '/mnt/hgfs/software/backup/%T_%U';
3> backup database;
4> backup current controlfile format '/mnt/hgfs/software/backup/%T_CTL_%U';
5> backup spfile format '/mnt/hgfs/software/backup/%T_SPFILE_%U';
6> release channel c1;
7> }
备份集信息:
$ oracle@model /mnt/hgfs/software/backup> ls -lh
total 304M
-rwxrwxrwx 1 root root 594M Aug 29 20:31 20120829_02njsrtb_1_1*
-rwxrwxrwx 1 root root 6.9M Aug 29 20:31 20120829_03njss0b_1_1*
-rwxrwxrwx 1 root root 6.8M Aug 29 20:31 20120829_CTL_04njss0k_1_1*
-rwxrwxrwx 1 root root 96K Aug 29 20:31 20120829_SPFILE_05njss0m_1_1*
第二步:备端的准备
1、安装数据库软件,基位置参考上文说明。
2、创建相关的目录:
$ oracle@model ~> env | grep ORACLE
ORACLE_BASE=/u02/app/oracle
ORACLE_HOME=/u02/app/oracle/product/10.2.0/db_1
$ oracle@model ~> cd $ORACLE_BASE
$ oracle@model /u02/app/oracle> mkdir flash_recovery_area
$ oracle@model /u02/app/oracle> mkdir -p admin/test2
$ oracle@model /u02/app/oracle> cd admin/test2
$ oracle@model /u02/app/oracle/admin/test2> mkdir {a,b,c,d,u}dump
第三步:开始恢复,此时恢复的实例名为test
$ oracle@model ~> export ORACLE_SID=test
$ oracle@model ~> rman target /
RMAN> startup nomount
1、恢复spfile:
RMAN> restore spfile from '/mnt/hgfs/software/backup/20120829_SPFILE_05njss0m_1_1';
RMAN> shutdown immediate;
2、编辑参数文件,使参数中的相关路径变更为新路径
$ oracle@model ~> sqlplus / as sysdba
SYS@test > create pfile from spfile;
编辑生成的$ORACLE_HOME/dbs/inittest.ora文件,将文件中的路径改为新的路径,即:
/oradata/test/修改为/oradata2/test2/
/u01/app/oracle/修改为/u02/app/oracle
/u01/app/oracle/admin/test修改为/u02/app/oracle/admin/test2
$ oracle@model ~> sqlplus / as sysdba
SYS@test > create spfile from pfile;
3、恢复控制文件:
$ oracle@model ~> rman target /
RMAN> startup nomount
RMAN> restore controlfile from '/mnt/hgfs/software/backup/20120829_CTL_04njss0k_1_1';
4、恢复数据文件:
RMAN> alter database mount;
RMAN> run {
2> set newname for datafile 1 to '/oradata2/test2/system01.dbf';
3> set newname for datafile 2 to '/oradata2/test2/undotbs01.dbf';
4> set newname for datafile 3 to '/oradata2/test2/sysaux01.dbf';
5> set newname for datafile 4 to '/oradata2/test2/users01.dbf';
6> set newname for datafile 5 to '/oradata2/test2/example01.dbf';
7> restore database;
8> }
5、重建控制文件,更新控制文件中的数据文件路径
$ oracle@model ~> sqlplus / as sysdba
SYS@test > alter database backup controlfile to trace;
到$ORACLE_BASE/admin/udump中找到刚才生成的TRACE文件,复制出其中的创建文件集的片段,修改其中的路径信息为新的路径信息,备用
SYS@test > shutdown immediate;
SYS@test > startup nomount
利用刚才修改过的控制文件创建脚本重建控制文件:
SYS@test > CREATE CONTROLFILE REUSE DATABASE "TEST" RESETLOGS ARCHIVELOG
2 MAXLOGFILES 16
3 MAXLOGMEMBERS 3
4 MAXDATAFILES 100
5 MAXINSTANCES 8
6 MAXLOGHISTORY 292
7 LOGFILE
8 GROUP 1 '/oradata2/test2/redo01.log' SIZE 50M,
9 GROUP 2 '/oradata2/test2/redo02.log' SIZE 50M,
10 GROUP 3 '/oradata2/test2/redo03.log' SIZE 50M
11 -- STANDBY LOGFILE
12 DATAFILE
13 '/oradata2/test2/system01.dbf',
14 '/oradata2/test2/undotbs01.dbf',
15 '/oradata2/test2/sysaux01.dbf',
16 '/oradata2/test2/users01.dbf',
17 '/oradata2/test2/example01.dbf'
18 CHARACTER SET ZHS16GBK
19 ;
SYS@test > alter database open resetlogs;
至此,数据库已经能够正常启动了,但是此时的实例名以及数据库名均为test,需要将其更改为test2,继续向下走
更多详情见请继续阅读下一页的精彩内容:
Oracle基础教程之通过RMAN复制数据库
RMAN备份策略制定参考内容
RMAN备份学习笔记
Oracle数据库备份加密 RMAN加密

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.
