The past month has marked a promising beginning. October 2023 has been a successful month, thanks to the heartfelt well-wishes from friends and family. Throughout September and October, I diligently crafted a series of blog posts. In this post, I will summarize the key insights in “Common Mistakes in SQL Server – Final.”
Null Value and Their Impact
In a previous project, I was tasked with testing and analyzing a database that displayed an alarming growth rate. It seemed like either growth estimations were off or the application was inserting data more frequently than expected. The database had grown by over 300% in just two years, which was a clear red flag. After a thorough analysis, I pinpointed the issue to a single table. This table was massive, with over 217 columns and more than 50 million records, and the majority of these columns allowed null values. This is where the problem lay. For a detailed examination, please refer to article Common Mistakes in SQL Server Part 3.
Auto Growth and performance concerns
Auto Growth is a convenient feature that allows database files (primary, secondary, and log) to expand automatically when they reach their capacity, without requiring manual intervention.
Configuring Auto Growth can be done in two ways: through SQL Server Management Studio (SSMS) and T-SQL, either in percentages or megabytes. However, it’s essential to highlight a frequently overlooked database configuration. Neglecting this setting can lead to I/O and CPU spikes, as well as physical fragmentation. For a comprehensive exploration of this topic, please consult Common Mistakes in SQL Server Part 4
Implicit Conversion and it’s Detrimental Effects
Implicit Conversion is an occurrence where SQL Server automatically converts data from one data type to another during query execution. This can happen when comparing columns or values of different data types or when utilizing them in joins or expressions. It’s also known as “type coercion” or “type casting.”
Implicit Conversion can result in unexpected performance issues and hinder query optimization. To delve deeper into this subject, please read Common Mistakes in SQL Server Part 5
Significance of Recompiling Stored Procedures and Views
Recompilation is a valuable tool in SQL Server, especially when you want to ensure that your queries are using the most suitable execution plans. It’s crucial to understand the events that trigger recompilation and use it judiciously to balance performance benefits with the associated overhead. Managing high CPU utilization is vital for maintaining the performance and stability of a SQL Server instance. For an in-depth understanding of this topic, I recommend reading Common Mistakes in SQL Server Part 6
Please help me improve by providing the feedback. You can write your feedback in the comment section of each of the blog article.