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| | | Your Recovery Time Disaster Recovery is both an exciting challenge for many DBAs and also a dreaded event that many hope they never experience. When a true disaster befalls your system, there is a tremendous amount of stress as we work to get things running again so clients can access data. Even the best laid plans will often have a glitch, and while it's a great technical challenge, most of us would rather keep practicing and gaming possibilities than actually experience a disaster. The majority of our system disasters are localized to the actual machine handling our workloads. We often don't have outside disasters, like hurricanes, with disruption and damage to other parts of our infrastructure and ever our lives. When that happens on top of a down system, it's a level of stress that can affect our health. I've been lucky in that I've experienced both kinds of disasters, but never at the same time. I hope you can say the same thing. Let's assume some local disaster defalls your system. Hardware, software, it doesn't matter, but you end up with a corrupted database of some sort. This week I'm wondering if you have an idea of what the recovery time would be? How long before clients are up and running? Maybe more important, how long before you have system rebuilt? If you have some sort of High Availability (HA) plan, then you might be back up for clients quickly, in minutes or even seconds. The disaster really isn't over, however, since you are now running on less hardware than you planned. Until you can rebuild the downed node, you're still in disaster mode. If you're like most of the organizations that have employed me, you'll also be stressed as your formerly well-designed HA setup is now a single point of failure and you're scrambling to get the main node rebuilt. We often think of a disaster as the time we're down because of some event. Once clients are being served again, we tend to relax and think the disaster is over. It's not, because until you replace the affected systems and bring them back online, you're even more vulnerable than you were previously to another Murphy's Law incident. Steve Jones from SQLServerCentral.comJoin the debate, and respond to today's editorial on the forums |
| The Voice of the DBA Podcast Listen to the MP3 Audio ( 3.0MB) podcast or subscribe to the feed at iTunes and Libsyn.  The Voice of the DBA podcast features music by Everyday Jones. No relation, but I stumbled on to them and really like the music. |
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| | |  | Tomaž Kaštrun from SQLServerCentral.com General introduction to R Services in SQL Server 2016 and how R server works with external stored procedure. More » |
 | How can you best keep production data secure when it is outside the production environment? Microsoft MVP Grant Fritchey discusses the use of dynamic data masking in production and pre-production servers, and then the strategies that can help us protect the data when it moves into less secure, and less well-controlled environments such as development and test. More » |
 | Brian Kelley from SQLServerCentral Blogs At SQL Saturday Nashville, I didn’t do a good job explaining the concept of presence. This is in reference to... More » |
| | Bert Wagner from SQLServerCentral Blogs Watch this week’s video on YouTube. While most of us strive to make as few mistakes as possible when it comes... More » |
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| | | Today's Question (by Steve Jones): What are the purchase models for Azure SQL Database? In other words, how can you scale your performance against cost? |
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| Yesterday's Question of the Day |
| Yesterday's Question (by Steve Jones): I have this table created in my system. CREATE TABLE dbo.SalesOrderHeader ( OrderKey INT IDENTITY(1, 7) , CustomerName VARCHAR(30) ) GO I realized that I made a mistake and decide to RESEED the identity value. DBCC CHECKIDENT('dbo.SalesOrderHeader', RESEED, 0) GO I know insert some data. INSERT dbo.SalesOrderHeader (CustomerName) VALUES ('Andy') INSERT dbo.SalesOrderHeader (CustomerName) VALUES ('Brian') INSERT dbo.SalesOrderHeader (CustomerName) VALUES ('Steve') GO What is the value for the row with "Steve" in it?
Answer: 14 Explanation: Since there are no rows in the table, the RESEED sets the value to 0, which is the value used for the first insert (Andy). The second insert has 7 added, which is 7. The third, for Steve, gets the value 14. Ref: Identity Property - click here
» Discuss this question and answer on the forums |
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