I work for a company that has a pretty large SQL database. It’s about 4 terabytes in size. We had been using Ola Hallengren’s index maintenance script for a while but it got to be such that the script would take over 24 hours to run. That became a problem. That’s not to say there was really anything wrong with Ola’s script. It really is an excellent solution. However, it does only do index defragmentation serially … meaning one at a time. It works fine on smaller databases but when you have a HUGE database that no longer works well.
To solve this I created multiple jobs using his script and tried to break up the indexes between the jobs to have somewhat of a balance between them. That became a pretty big hassle to maintain. I would have to every-once-in-a-while go in and tweak it and some days it would work fine and other days it would not. So, I set out to see if anyone had created a solution to defragment indexes in parallel … meaning more than one at a time. I could not find one on the web so I built my own.
My solution will create a SQL Agent controller job and multiple worker jobs. The controller job will create a queue of indexes to be defragmented based on runtime parameters passed to it. Once the queue is created it will spawn the worker jobs which will proceed to take indexes off the queue until the queue is depleted or the termination window has expired.
The below table shows the performance gains we were able to get with our index defragmentation. Just using one job with Ola’s script took over 24 hours. When we broke it out into four jobs it still took 6-8 hours. With my script and six worker jobs the time went down to 3 hours for most all the indexes. There are two REALLY big indexes that take about 7 and 4 hours individually because the data in the table changes a lot daily. Finally, I realized that most of the indexes were set to a fill factor of 100%. Which means that I was constantly having high fragmentation on tables. So, I rebuilt all the indexes at 85% fill factor and the defragmentation time went down to about an hour per day with those two other indexes still being the outliers. I feel like that is a pretty good result.
|Ola Hallengren’s script||1||Over 24 hours|
|Ola Hallengren’s script||4||6-8 hours|
|My script||6||3 hours with 1 index at 7 hours and 1 at 4 hours|
|My script with fill factor at 85%||6||Monday: 1 hour (30 minutes of that is to build the queue) Other Days: 20 minutes (15 minutes of that is to build the queue)|
The maintenance solution is release under the MIT License so feel free to use it as you wish just please let me know if you have found it to be helpful. You can click the button below to download the solution. The second link is to the source code repository.