Posts Tagged ‘Top 10 Tips for SQL Server Performance and Resiliency’

Top 10 Tips for SQL Server Performance and Resiliency

This article is part 9 in a series on the top 10 most common mistakes that I have seen impact SQL Server Performance and Resiliency. This post is not all-inclusive.

Most common mistake #9: Automatically Shrinking Your Database

This is a topic that has been written about frequently, and most often, I try not to re-hash what many people have already blogged about.  However, as often as I see this I would be amiss if I did not add auto shrink to the list.

Often you will see IT professionals approaching their tasks from different angles.  Consider if you were a Systems Admin and you knew you needed some additional storage on a server you might send a request to the storage admin requesting an additional 50 gigs, or whatever amount you need.  As a Database Professional, you would be wise to not only include the size of storage that you need but also the performance specifications that you require.  As a DBA, we need to understand that SQL Server management may not always translate well to other types of systems management.  Now granted this should be no surprise, it is understand we do not approach all things the same way, but where this comes into play is the understanding we all have different backgrounds.  We became DBA’s from different career paths.

If you are new to being a Database Administrator or the Primary focus of your job is not to be a DBA you may see the benefits of shrinking a database automatically.  If the database shrinks by itself, it might be considered self-management; however, there is a problem when doing this.

When you shrink a data file SQL Server goes in and recovers all the unused pages, during the process it is giving that space back to the OS so the space can be used somewhere else.  The downstream effect of this is going to be the fact your indexes are going to become fragmented.  This can be demonstrated in a simple test.

I have a database in my lab based on the Chicago Crime Stats.  I have been doing a lot of testing in the database with an automated indexing script, that has me inserting a deleting a large number of rows at different times.  Over time this database has become rather large for my small lab, it is time to shrink it down to a more manageable size.  The first thing done is to check what the status of my indexes is.

This is a simple query that will return all the indexes in the database with its fragmentation level.

SELECT db_name() as [database],
      Object_Name(ps.object_id) as [table],
      i.name as Index_Name,
      round(avg_fragmentation_in_percent, 0) as Frag
FROM sys.dm_db_index_physical_stats(db_id(), null, null, NULL, NULL) ps
            Join sys.indexes i on ps.Object_ID = i.object_ID and ps.index_id = i.index_id

 

The results look like this:

image1

 

More or less the indexes are looking good; there is not a lot of fragmentation except in the one table (that is a discussion for later topics). What happens if I shrink the whole database, to include not only the log but also the data file as well?

 

Use the following T-SQL:

DBCC ShrinkDatabase ([ChicagoCrimeStats])

Rerunning the index fragmentation script, I now receive these results:

image2

 

If I have queries that use the IDX_Crimes_Frag_XCORD_Clustered index, there is a real good chance the performance on that query is going to degrade.

There are times when you may need to shrink a file, some considerations could be after a large delete of records or maybe you archived much of the data out of the database.  These sort of operations remove data leaving your databases with a lot of free space.  This free space can be reclaimed by using the DBCC Shrinkfile or DBCC Shrinkdatabase T-SQL commands, however be aware you should re-index after those statements are run.

It is not a bad thing to shrink a database as long as you do it in a controlled manor with proper maintenance afterwards.

Top 10 Tips for SQL Server Performance and Resiliency

  1. Improper Backups
  2. Improper Security
  3. Improper Maintenance
  4. Not having a Baseline
  5. SQL Server Max Memory
  6. Change History
  7. Disaster Recovery Plans
  8. TempDB

This article is part 7 in a series on the top 10 most common mistakes that I have seen impacting SQL Server Performance and Resiliency. This post is not all inclusive.

Most common mistake #7: Disaster Recovery Plans

Often people hear disaster recovery plan and the first reaction is to start worrying about the costs. Disaster recovery plans don’t have to be expensive, expensive disaster recovery plans come from strict requirements.

About 10 years ago when I started as an independent consultant one of my first clients was contacting me to help build out a disaster recovery plan for them. After our initial discussion I learned some consulting firms had forecasted one hundred thousand dollar solutions. Many large companies would look at that number and determine it was a bargain, however this clients company made less than 50k a year. The data changed about once a year, and if the database was down a week or two it was questioned if anyone would even notice. It was easy to see that the hundred thousand dollar solution was extremely over engineered.

Don’t ignore the basics

Disaster Recovery Solutions should start with two basic questions, what is the recovery point object and what is the recovery time objective.

  • RPO – Recovery Point Objectives – To what point must the database be restored after a disaster. Another way to ask this question would be, how much data can be lost.
  • RTO – Recovery Time Objectives – How much time can elapse after the disaster has occurred? Or, how long can your system can be down?

Depending on these answers additional questions will arise, however these two questions can help determine what potential solutions will work. SQL Server offers a number of solutions from Transaction Log shipping to AlwaysOn Availability Groups.

Pay Attention to the Details

Whenever I visit a datacenter for a client I make sure that I take some time to review how the cages are wired. On more than one occasion I have seen servers with redundant power supplies have both of the power cords plugged into one circuit. This configuration will protect you if one of the power supplies goes bad, however if the circuit goes down the redundant power supply isn’t any help.

When executing a disaster recovery plan ensure all the small details are checked. If there is a single point of failure in the system Murphy is going to find it.

Test

I can tell you the most common mistake I see on a regular basis with Disaster Recovery solutions is the lack of testing. Some testing is better than no testing, but the best testing is testing that mimic’s actual disasters. If there is a power outage for your servers and you have 5 min. to get everything moved do you know the steps to complete before the unlimited power supply loses its charge? What steps must you take if you don’t have the 5 minutes? I was working with the chief technology officer for a major education facility and he had a vendor that was telling him he we safe, and he didn’t have to worry about it. His contract was for a 15 minute recovery point. When we reached out to the vendor and asked them to prove it.

The lesson here is perform regular realistic tests, if they don’t work, find out why and fix it.

Top 10 Tips for SQL Server Performance and Resiliency

  1. Improper Backups
  2. Improper Security
  3. Improper Maintenance
  4. Not having a Baseline
  5. SQL Server Max Memory
  6. Change History