Wait statistic are a fundamental concept of any RDBMS. Let’s review some basics of troubleshooting performance issues with wait statistics.
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Wait statistic are a fundamental concept of any RDBMS. Let’s review some basics of troubleshooting performance issues with wait statistics.
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Network problems with connecting to SQL Server can be daunting. DBAs have various levels of proficiency in networking. It ranges from deep working knowledge to very primitive. Here I outline some basic network troubleshooting techniques that will help you navigate the issue.
Read on to see how to troubleshoot basic networking issues at the command line.
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This is part 2 of a 3 part series about SQL Server Environmental Diagnostics. Check out Part 1 and Part 2 as well.
NOTE: this deals only with Windows Server. I know that Linux is now recently an option but this article will deal only with Windows Server.
This is part 2 of a 3 part series about SQL Server Environmental Diagnostics. Part 1 can be read here.
Performance problems for a SQL Server based application are likely to be caused by environmental factors and not buggy code.
Whether it is a configuration you can change in SQL Server, Windows Server, VMware, or the network it is likely the first course of action is to perform a quick assessment of the environment. This is where understanding the various configurations and best practices are key. Knowing what to look for can save tons of time.
A mistake I often see is a performance issue is passed off to someone else (more senior) and that engineer assumes a lot of things without checking. People are going to relay the problem as they see it – not as it actually is. This leads to skipping over some elementary checks which can save time and frustration from tracking down imaginary bugs.
Start troubleshooting with a quick environmental check.
Below are common environmental mishaps I see when troubleshooting SQL Server performance complaints. Consider these 1st line of action before getting into execution plans, statistics, indexing, and code refactoring.