Keeping database statistics updated is crucial for the smooth functioning of your queries. The database engine is pretty smart; it automatically refreshes these statistics to stay in sync with changes in your data. This is key for the query optimizer, the brain behind the scenes, to churn out the most efficient plans for your queries. While up-to-date statistics often improve query plan quality, the extra time added to some query executions due to statistics update may be undesirable, particularly in transactional workloads with short queries, where updating statistics may take longer than query execution itself. For this reason, the SQL Server database engine also supports an option to update statistics asynchronously.
Month: January 2024
Automating SQL Server Index Maintenance with PowerShell
In this blog post, we’ll focus on automating index maintenance using PowerShell. We’ll present a complete script to assess index fragmentation and perform necessary maintenance tasks, followed by a detailed explanation of each part of the script, showcasing how PowerShell can be a powerful tool in the arsenal of any SQL Server administrator.
Understanding the Implications of the TRUSTWORTHY Database Setting in SQL Server
As a SQL Server DBA, understanding the nuances of database settings is necessary for maintaining security and integrity. One such setting that often becomes a topic of discussion due to its significant impact on security is the TRUSTWORTHY database setting. The TRUSTWORTHY database setting in SQL Server is a configuration option that affects the security of certain database operations, particularly those involving code execution contexts. It plays a critical role in the security context of modules that use WITH EXECUTE AS, as well as CLR (Common Language Runtime) assemblies marked as EXTERNAL_ACCESS or UNSAFE.
Exploring Programming Constructs in T-SQL – Part 1: Variables and Conditional IF Statements
Welcome to the first installment in our blog series on understanding and using programming constructs in T-SQL (Transact-SQL). This series aims to unravel the intricacies of T-SQL, Microsoft SQL Server’s powerful extension to SQL (Structured Query Language). Our journey will cover the most common and impactful programming constructs, equipping you with the knowledge to write more efficient, dynamic, and robust SQL scripts.
Understanding the Intricacies of SQL Server Virtual Log Files
We as SQL Server DBAs often overlook the importance of the transaction log. It plays a pivotal role in ensuring data integrity and recoverability. To manage this effectively, SQL Server employs a system of segmentation known as Virtual Log Files, or VLFs. The intricacies of VLFs and their management are fundamental to the seamless performance of SQL Server databases.
Mastering SQL Server Extended Events for Proactive Database Troubleshooting
SQL Server Extended Events (XE) are an essential tool for modern database professionals, offering a lightweight, efficient solution for monitoring and diagnosing SQL Server. Outperforming older methods like SQL Trace, Extended Events provide a detailed view of database operations with minimal impact on performance. They are integral for identifying, analyzing, and resolving complex database performance issues and are built directly into the SQL Server engine for maximum scalability and precision.
The Power of Snapshots: Exploring Copy-On-Write in SQL Server
“Copy-On-Write” (COW) is a resource management technique used in computer programming and operating systems. Its application in SQL Server, particularly in relation to snapshot technologies, is a fundamental concept behind the functioning of database snapshots and certain types of backups. Let’s delve into the detailed workings of Copy-On-Write in the context of SQL Server:
Optimizing SQL Server Performance on Linux: Beyond the Basics
Following our initial exploration of installing SQL Server on Ubuntu 22.04, we delve into the intricacies of advanced configuration on Linux. This post aims to provide DBAs and system administrators with a better understanding of the configurations specific to Linux environments that enhance SQL Server performance. Configuring SQL Server on Linux requires consideration of both SQL Server-specific settings and Linux system configurations. Here we’ll discuss the adjustments and settings unique to the Linux environment.
Dynamic Data Masking (DDM) in SQL Server
Dynamic Data Masking (DDM) is an important security feature designed to protect sensitive information in database environments like SQL Server and Azure SQL Database. It works by masking sensitive data from non-privileged users, thus enhancing data security and compliance without altering the actual data. DDM operates by hiding sensitive data in query results, allowing only privileged users to view the unmasked data. It’s especially valuable in environments requiring data protection without compromising user experience.