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Tuning SQL Performance with Response Time Analysis
The most current approach for improving applications and the performance of SQL is by helping DBAs monitor their database with the most important data: the ability to understand what causes end users to experience wait time. Also referred to as wait time analysis, it allows IT teams to align their SQL performance tuning efforts with service level delivery for end users.
Explore some of the benefits of SQL performance tuning.
Response time methods measure the entire time it takes for an action to be complete instead of monitoring server health statistics and then making a guess about how these things affect the overall performance health. The top implementations break down this information into easy to measure steps so that the exact cause of application delays can be studied and identified. It stands to reason that because the database is solely responsible for responding to users requests that response time is a key indicator of what time of performance tuning should be done.
Differences vs. Conventional Statistics
Health measures and execution ratios are the main focus of normal SQL performance tools. While this has been the traditional way of measuring in the past, the end user experience is left out of the equation and consequently, it is more difficult to pinpoint where the error first occurred. Knowing an operation took place millions of times does not inform whether it was actually the cause of an application delay.
Distinguishing Response Time From Conventional Methods
- Response time is measured from the beginning request to end response.
- Each SQL query is kept isolated so only it’s data can be studied piece by piece. This is far more useful than looking at the total response time for issue identification.
- Each small step in the entire SQL query is measured. Treating the instance as a black-box without seeing where the time is consumed internally does not help problem solving.
See how SQL server tuning can help.
Getting Your SQL Server Tuning Done Right
SQL Server tuning using response time analysis enables DBAs to find the exact location of performance issues and address them immediately. This means that preventative action can be taken before wait time affects end-user service levels and further SQL Server tuning complications.