Performance Tuning Series

Lock Pages in Memory

You can prevent the Windows operating system from paging out the buffer pool memory of the SQL Server process by locking the memory that is allocated for the buffer pool in physical memory. You lock the memory by assigning the Lock pages in memory user right to the user account that is used as the startup account of the SQL Server service.

Model Database Whenever we create a new database, it will use model as template. Configure model DB for the Auto Shrink OFF, Auto Update/Create Statistics on

Maximum Worker Threads: Based on the load increase the maximum work thread.

Address Windowing Extensions (AWE) is an API that allows a 32-bit application to manipulate physical memory beyond 4 GB memory limit. The AWE mechanism technically is not necessary on 64-bit platform. It is, however, present there. Memory pages that are allocated through the AWE mechanism are referred as locked pages on the 64-bit platform.

On both 32-bit and 64-bit platforms, memory that is allocated through the AWE mechanism cannot be paged out. This can be beneficial to the application. (This is one of the reasons for using AWE mechanism on 64-bit platform.) This also affects the amount of RAM that is available to the system and to other applications, which might have detrimental effects. For this reason, in order to use AWE, the Lock Pages in Memory privilege must be granted for the account that runs SQL Server.



Please note:

  • Turn auto-shrink off.
  • Make sure auto-update of statistics is turned on.
  • If a database is read only, set it to read only.
  • Use triggers very judiciously. They mostly operate in the background making them difficult to monitor and troubleshoot.
  • Be very careful of auto growth settings on the database. 10% auto growth will be fine when the database is 500mb. It makes a huge difference when the system is 50gb. For larger databases, change the setting to grow by a fixed amount rather than a percentage of total database size.
  • Files and FileGroups
  • Other factors that can affect the performance of your system include the way the files and file groups are laid out. You should be creating multiple files for your databases to optimize performance. A baseline for this would be to create one file for the logs, another for the data (defined by the clustered index), and another for non-clustered indexes. Additional files may be necessary to separate out BLOB data or XML data or unusually active tables, each onto its own file, and where possible, onto its own disk. This has been found to be true even on SAN systems because distributing the load takes further advantage of the architecture of the SAN.
  • Data Types
  • Define the data types that you need, not what you think you might need someday. A phone number is a string, not a number. Define the length of field that you need and enforce that length.


2 thoughts on “Performance Tuning Series

Thanks for the comment, will get back to you soon... Jugal Shah

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