数据库一般有两种常见故障介质损坏人为失误 防止介质损坏一般使用Data Guard等技术防止人为失误,可以使用Oracle闪回功能. 但是人
数据库一般有两种常见故障
介质损坏
人为失误
防止介质损坏一般使用Data Guard等技术
防止人为失误,可以使用Oracle闪回功能.
但是人为失误一旦不能通过闪回恢复,就需要使用Rman恢复了。
使用Rman恢复,想想那个恢复速度和自己窘迫的样子还有里三层外三层的老板,领导,同事..
为了避免这个情况,可以使用另外一台服务器,做一个Oracle的还原库.
主库每隔一段时间,将归档日志推送至还原库的指定目录(scp,rsync,我们使用的是小花狸监控软件)
还原库每隔一段时间,应用归档日志.
也就是说,还原库的数据总是落后于生产数据库.类似于一个延迟的DataGuard。
我们配置的还原库落后于生产数据库6-9个小时.
从还原库恢复人为错误,一般可以控制在30分钟之内.
而从Rman异机恢复,估计需要4-5个小时.
制作还原库一般有下面几个步骤
1.卸载还原库已经存在的数据库(如果还原库存在数据库实例)
shutdown abort;
startup mount exclusive restrict;
alter system enable restricted session;
drop database;
2.使用Rman备份生产数据库
CONFIGURE DEVICE TYPE DISK PARALLELISM 5 BACKUP TYPE TO BACKUPSET;
sql 'alter system archive log current';
BACKUP AS COMPRESSED BACKUPSET DATABASE ;
3.在$ORACLE_HOME/dbs目录下,新建一个文件(init$SID.ora)
文件内仅仅有一行SID的配置
db_name=mvbox
4.恢复spfile
先从Rman备份中,恢复spfile
[oracle@localhost/data/IP/2015_09_25]$rman target /
Recovery Manager: Release 10.2.0.4.0 - Production on Fri Sep 25 17:26:40 2015
Copyright (c) 1982, 2007, Oracle. All rights reserved.
connected to target database (not started)
RMAN> startup nomount;
Oracle instance started
Total System Global Area 171966464 bytes
Fixed Size 2082496 bytes
Variable Size 113248576 bytes
Database Buffers 50331648 bytes
Redo Buffers 6303744 bytes
RMAN> restore spfile to '/home/oracle/app/oracle/product/10.2.0/db_1/dbs/spfilemvbox.ora' from '/data/IP/2015_09_25/o1_mf_nnsnf_TAG20150925T134231_c09s9rq2_.bkp';
Starting restore at 25-SEP-15
using channel ORA_DISK_1
channel ORA_DISK_1: autobackup found: /data/IP/2015_09_25/o1_mf_nnsnf_TAG20150925T134231_c09s9rq2_.bkp
channel ORA_DISK_1: SPFILE restore from autobackup complete
Finished restore at 25-SEP-15
将spfile转换为pfile,然后修改相关的目录
create pfile='/tmp/pfile.ora' from spfile;
vim /tmp/pfile.ora 主要是修改相关路径
然后使用pfile启动数据库至nomount状态,由修改过的pfile再生成spfile
5.恢复控制文件
RMAN> restore controlfile from '/data/IP/2015_09_25/o1_mf_ncnnf_TAG20150925T134231_c09s9pms_.bkp';
Starting restore at 25-SEP-15
using target database control file instead of recovery catalog
allocated channel: ORA_DISK_1
channel ORA_DISK_1: sid=1640 devtype=DISK
channel ORA_DISK_1: restoring control file
channel ORA_DISK_1: restore complete, elapsed time: 00:00:02
output filename=/data/oracledata/flash_recovery_area/control01.ctl
Finished restore at 25-SEP-15
RMAN> shutdown
Oracle instance shut down
RMAN> startup mount;
connected to target database (not started)
Oracle instance started
database mounted
Total System Global Area 53687091200 bytes
Fixed Size 2184048 bytes
Variable Size 4546628752 bytes
Database Buffers 49123688448 bytes
Redo Buffers 14589952 bytes
RMAN>
6.还原数据文件,并恢复
将生产数据库的归档日志也拷贝到指定的目录
RMAN> catalog start with '/data/IP';
生产数据库的文件都放在/dbdata/oracledata/mvbox/挂载点
而还原库的数据文件在/data/oracledata/oradata/mvbox/挂载点
在生产数据库运行查询
select
'set newname for datafile ' || file_id ||
' to ''' ||
replace(file_name,'/dbdata/oracledata/mvbox','/data/oracledata/oradata/mvbox')||''';'
from dba_data_files;
然后根据这个查询的结果,拼出还原库执行的命令
先还原数据文件
run{
CONFIGURE DEVICE TYPE DISK PARALLELISM 5 BACKUP TYPE TO BACKUPSET;
set newname for datafile 4 to '/data/oracledata/oradata/mvbox/users01.dbf';
set newname for datafile 3 to '/data/oracledata/oradata/mvbox/sysaux01.dbf';
set newname for datafile 1 to '/data/oracledata/oradata/mvbox/system01.dbf';
set newname for datafile 5 to '/data/oracledata/oradata/mvbox/system02.dbf';
set newname for datafile 6 to '/data/oracledata/oradata/mvbox/sysaux02.dbf';
set newname for datafile 7 to '/data/oracledata/oradata/mvbox/users02.dbf';
set newname for datafile 8 to '/data/oracledata/oradata/mvbox/users03.dbf';
set newname for datafile 9 to '/data/oracledata/oradata/mvbox/users04.dbf';
set newname for datafile 10 to '/data/oracledata/oradata/mvbox/users05.dbf';
set newname for datafile 12 to '/data/oracledata/oradata/mvbox/users06.dbf';
set newname for datafile 13 to '/data/oracledata/oradata/mvbox/system03.dbf';
set newname for datafile 14 to '/data/oracledata/oradata/mvbox/sysaux03.dbf';
set newname for datafile 27 to '/data/oracledata/oradata/mvbox/users19.dbf';
set newname for datafile 15 to '/data/oracledata/oradata/mvbox/users07.dbf';
set newname for datafile 16 to '/data/oracledata/oradata/mvbox/users08.dbf';
set newname for datafile 17 to '/data/oracledata/oradata/mvbox/users09.dbf';
set newname for datafile 18 to '/data/oracledata/oradata/mvbox/users10.dbf';
set newname for datafile 19 to '/data/oracledata/oradata/mvbox/users11.dbf';
set newname for datafile 20 to '/data/oracledata/oradata/mvbox/users12.dbf';
set newname for datafile 21 to '/data/oracledata/oradata/mvbox/users13.dbf';
set newname for datafile 22 to '/data/oracledata/oradata/mvbox/users14.dbf';
set newname for datafile 23 to '/data/oracledata/oradata/mvbox/users15.dbf';
set newname for datafile 24 to '/data/oracledata/oradata/mvbox/users16.dbf';
set newname for datafile 25 to '/data/oracledata/oradata/mvbox/users17.dbf';
set newname for datafile 26 to '/data/oracledata/oradata/mvbox/users18.dbf';
set newname for datafile 28 to '/data/oracledata/oradata/mvbox/users20.dbf';
set newname for datafile 33 to '/data/oracledata/oradata/mvbox/users21.dbf';
set newname for datafile 34 to '/data/oracledata/oradata/mvbox/users22.dbf';
set newname for datafile 35 to '/data/oracledata/oradata/mvbox/undotbs.dbf';
restore database;
switch datafile all;
}
找到生产数据库传输过来的归档日志文件,找到最后一个文件
恢复到最后一个归档日志文件序列.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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