![]() For very large systems with a lot of data churn you probably aren't going to hit this target either, but getting close will seriously help improve performance. ![]() An good target would be at least 5 minutes per 8GB of RAM that the SQL Server is using. For a happy medium, you'll want to look at Page Life Expectancy, which is a measure of how long data remains cached in RAM before being replaced. It would be ideal to hold your entire database in memory all the time, but for larger systems it is impractical. Unless you have a lot of RAM in relation to the size of your data you probably aren't going to get away with this. Should I leave that or set it explicitly to >= to the sum of DB files or does it not matter? This tends to allow the OS plenty of RAM to do what it needs even as the VM increases in scale. ![]() My general rule of thumb is to reserve 1GB for the OS per 4GB of the VM up to 16GB on the VM, then only reserve 1GB per 8GB after that. This can cause your SQL instance to strangle the OS to death. SQL Server is greedy and will grab any free memory it thinks it needs up to the configured maximum, and it will never release that memory back to the OS until the service restarts or you do something to force it to release the memory. When setting memory do you set a minimum memory value or leave it at default? physical reads?Īny other recommendations? Any that I've listed above that are unnecessary/outdated? When setting memory do you set a minimum memory value or leave it at default? Right now our SQL instance max memory is set to 2147483647, should I leave that or set it explicitly to >= to the sum of DB files or does it not matter? When considering storage, we have an all flash Nimble SAN, should I be specifying any settings on the LUN for optimal performance or are those recommendations obsolete with the use of NVMe flash? Any maintenance tasks that can help optimize performance? And lastly, how do I validate that these changes have improved anything? Or rather, what is your method for validating and pinpointing the cause of performance issues in SQL server? Configure memory allocation settings to equal or greater value of the sum of all of your DB files if possible (it is doable in our env) - From my understanding with manipulates the SQL server to favor logical reads vs.Create seperate virtual disks for C drive, DB drive, and logs drive (currently everything is just installed under C drive).Separate application server and SQL server to be two separate VMs so SQL server is not fighting the application services for resources.From what I've gathered here are some of the changes we'll be making: We're replatforming the environment and I want to take best practices into consideration during the environment refresh. We have an application that uses SQL server as the backend database, and performance has been pretty crummy since implementation. Just wondering what everyone recommends for SQL server best practice with performance as a primary consideration? Admittedly I'm not experienced with SQL server.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |