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  SQL Server Tips by Robin Schumacher

Modeling Peak Efficiency

Models represent the big picture of something on the surface. They also provide methods to drill down into the nitty-gritty of a subject. Data models, for example, are a way to succinctly communicate the aspects and aspect-relationships of a database in a way that even non-technical folks can usually understand.

A performance model is designed to do the same. Its purpose is to communicate the total performance situation, using a direct method, in a way that both the experienced and novice database staff member can understand. A model of this nature should, for example, be able to quickly convey a total performance message, so that the DBA knows exactly where they stand and what their tuning priorities must be. Accomplishing this requires zeroing in on the major aspects of database performance and working downward from there.

Stating the obvious, it can be said that the goal of every database professional is to achieve peak efficiency in their database. So just what is peak efficiency? One way to define it is with the simple formula:


Availability and speed combine to make or break any database system. This is true regardless of the underlying architecture of the database engine. DBAs need their databases to be up and their resources available in order to meet incoming requests. They also need the DBMS configured so that it can quickly handle all imposed system loads. While this may look simple on the surface, it is much more complicated under that surface.

The performance model, regardless of whether it is an SQL Server or other DBMS platform, begins with the two critical elements of availability and speed. If a method can be found to quickly diagnose their success or failure, the DBA will be on the way to working more efficiently.

The above book excerpt is from:

High-Performance SQL Server DBA
Tuning & Optimization Secrets

ISBN: 0-9761573-6-5
Robin Schumacher  


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