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hen you re talking about database queries, performance is a subjective term While one end-user could be happy with a query that takes ten seconds to execute, another user might not be happy unless all queries run under one second While performance requirements are certainly diverse, so are the methods used to improve performance A few key factors that impact SQL Server query performance include: Database design Probably one of the most important factors influencing both query performance and data integrity, design decisions impact both read and modification performance Standard designs include OLTP-normalized databases, which focus on data integrity, removal of redundancy, and the establishment of relationships between multiple entities This is a design most appropriate for quick transaction processing You ll usually see more tables in a normalized OLTP design, which means more table joins in your queries.

Data warehouse designs, on the other hand, often use a more denormalized Star or Snowflake design These designs use a central fact table, which is joined to two or more description dimension tables For Snowflake designs, the dimension tables can also have related tables associated to it The focus of this design is on query speed and not on fast updates to transactions Physical hardware I once spent a day trying to get a three second query down to one second No matter which indexes I tried to add, or query modifications I made, I couldn t get its duration lowered This was because there were simply too many rows required in the result set The limiting factor was the I/O A few months later, I migrated the database to the higherpowered production server Lo and behold, the query executed consistently in less than one second.

One of the biggest advantages of open source software is that everyone has access to the source code and can therefore put it under a microscope whenever necessary to identify and resolve problems. For GCC, quite probably the most popular open source package of all time, a parallel advantage is that you are rarely the first person to encounter a specific problem. The Web and the GCC documentation are excellent sources for descriptions of common problems encountered when using any GCC compiler and, more importantly, how to solve them. This section lists some common problems you may run into when using GCC on a variety of platforms and in a variety of ways, and provides solutions or workarounds. It is important to recognize that the fact that one can identify common problems does not mean that GCC itself is laden with problems. As you can see from the number of command-line options discussed in appendixes A and B, and some of the advanced usage models discussed in the chapters on specific GCC compilers, the GCC compilers are some of the world s most flexible programs. The number of knobs that you can turn on GCC compilers sometime leads to problems by accidentally invoking conflicting options, environment variables settings, and so on.

This underscores the fact that CPU, memory, and RAID subsystems can have a significant impact (both positive and negative) on query performance As a matter of fact, memory is one of the most critical resources for the SQL Server, allowing it to cache data and execution plans for faster data retrieval and query execution If you re prioritizing where your server dollars go, don t be stingy with the memory Network throughput The time it takes to obtain query results can be impacted by a slow or unstable network connection This doesn t mean that you should blame the poor network engineers whenever a query executes slowly but do keep this potential cause on your list of areas to investigate Index fragmentation As data modifications are made over time, your indexes will become fragmented As fragmentation increases, data will become spread out over more data pages.