MySQL数据库分卷备份还原类_数据库分卷备份和还原

本文介绍了如何在磁盘空间有限的情况下,通过将大型数据库备份分成两部分并进行压缩,然后在不同的服务器之间转移,成功地在测试环境中恢复数据库。DBA首先在生产服务器上分割备份,然后压缩并转移到资源充足的中间服务器,最后在开发机器上解压缩并执行恢复操作。此方法解决了由于磁盘空间不足导致的数据库恢复难题。

Performing a Database Restore is a part of a DBA’s daily life. A DBA may need to perform a Restore due to various reasons such as recovery, refreshing a database for testing purpose etc. Many times it can be difficult to perform a Restore due to corrupted media, low disk space on the server and so on. In this article, I will outline one approach which I used to Restore the backup of the Production Database a test environment.

Scenario

A couple of days back, members of my support team approached me saying that they are unable to refresh a database named ABC on the OLTP development environment with the copy of the backup of the same database from the Production server. The backup copy taken from the Production server was around 75 GB in size. On our dev machine we were had just 1 dedicated drive(D) for SQL Server which was having just 70 GB of free space left on it.

Restore Solution

After having a detailed look, I came to a conclusion that I could not free up any space on the D drive of the dev machine. One important point to mention is that our entire dev machines were in a different domain than the staging and production boxes.

I logged on to the Production Server and decided to split the backup of the database named ABC into two equal parts using the T-SQL as shown below:

BACKUP DATABASE ABC

TO DISK='B:\DB Backups\ABC_1.bak',

DISK='B:\DB Backups\ABC_2.bak'

GO

Once the above block of T-SQL statement is executed, it splits the Full Backup of the database named ABC present on the Production server into two equal parts. For example, if the size of a database is 76 GB then it will be divided into two equal parts each of size 36 GB.

Once the full backup gets split into two equal parts, I can then perform the RAR on them. Obviously first performing the RAR and then moving them to the different server would be much faster than moving the original copy of a much bigger size. Once the split files were zipped successfully I then moved them onto my staging server. This is because the staging box was pretty good in terms of resources and also since both the Production and Staging servers were in different Data Centers, due to good hardware the copying process worked much faster. As discussed earlier the free space available on the dev OLTP box was just 70 GB whereas the backup copy was 75 GB therefore it was not possible to transfer the zipped copies of the full backup to the dev OLTP box. I was having another box which was used as a SSIS Dev server with large amounts of free space. They are as follows:

Drive D had 49.9 GB free space

Drive C had 55 GB free space

The dev machines were standalone machines and not a cluster, therefore there were no issues for in copying 1 zipped file of the backup onto the C drive.

I then moved one copy of the zipped file onto the folder named backups which was on the C drive of the dev SSIS server and the other zipped file onto the folder named Backup_03102011_DBpresent on the D drive. I gave Full permissions on both these folders.

I then unzipped the two backup files on the dev SSIS server. Once done, I then logged on to the Dev OLTP machine and against the database named ABC I executed the following T-SQL statement to restore the database.

RESTORE DATABASE ABC

FROM DISK='\\10.A.A.A\backups\ABC_1.bak',

DISK='\\10.A.A.A\Backup_03102011_DB\ABC_2.bak'

WITH MOVE 'ABC_Data' TO 'D:\Program Files\Microsoft SQLServer\MSSQL.1\MSSQL\Data\ABC_Data_1.mdf',

MOVE 'ABC_Log' TO 'D:\Program Files\Microsoft SQLServer\MSSQL.1\MSSQL\Data\ABC_Log.ldf'

GO

Where 10.A.A.A is the IP Address of the dev machine.

Once the above block of T-SQL code was executed successfully, I then changed the owner of the database to sa by executing the following query against the database named ABC.

Exec sp_changedbowner ‘sa’

The next step involved mapping the Orphaned users. In order to find the Orphaned users, you need to execute the below T-SQL query against the ABC database on dev OLTP machine

sp_change_users_login @Action='Report'

Once the above query is executed, it will list all the Orphaned users present in the database named ABC. In order to fix this you will need to execute the below T-SQL query:

exec sp_change_users_login @Action='update_one', @UserNamePattern='User Name', @LoginName='Login Name';

I hope you all have enjoyed reading this article. Any suggestions or comments on this process would be most welcome.

Matlab基于粒子群优化算法及鲁棒MPPT控制器提高光伏并网的效率内容概要:本文围绕Matlab在电力系统优化与控制领域的应用展开,重点介绍了基于粒子群优化算法(PSO)鲁棒MPPT控制器提升光伏并网效率的技术方案。通过Matlab代码实现,结合智能优化算法与先进控制策略,对光伏发电系统的最大功率点跟踪进行优化,有效提高了系统在不同光照条件下的能量转换效率并网稳定性。同时,文档还涵盖了多种电力系统应用场景,如微电网调度、储能配置、鲁棒控制等,展示了Matlab在科研复现与工程仿真中的强大能力。; 适合人群:具备一定电力系统基础知识Matlab编程能力的高校研究生、科研人员及从事新能源系统开发的工程师;尤其适合关注光伏并网技术、智能优化算法应用与MPPT控制策略研究的专业人士。; 使用场景及目标:①利用粒子群算法优化光伏系统MPPT控制器参数,提升动态响应速度与稳态精度;②研究鲁棒控制策略在光伏并网系统中的抗干扰能力;③复现已发表的高水平论文(如EI、SCI)中的仿真案例,支撑科研项目与学术写作。; 阅读建议:建议结合文中提供的Matlab代码与Simulink模型进行实践操作,重点关注算法实现细节与系统参数设置,同时参考链接中的完整资源下载以获取更多复现实例,加深对优化算法与控制系统设计的理解。
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符  | 博主筛选后可见
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值