Last Page Insert Contention, commonly referred to as “last page contention,” is a specific type of contention in SQL Server related to the last page of an index, typically a clustered index. This happens because SQL Server uses a mechanism where multiple sessions try to insert records on the last page of an index, leading to contention.
Category: Performance
Understanding and Diagnosing SQL Server Wait Types
In SQL Server, wait types are important indicators of where and why delays occur during query execution, directly impacting database performance. Properly understanding and diagnosing these wait types enable database administrators to pinpoint specific performance bottlenecks. This blog post aims to provide an overview of essential wait types that demand attention, distinguish common wait types that can usually be ignored, and offer strategies for effective diagnosis and interpretation to enhance overall database performance.
Mastering Resource Governance for SQL Server Agent Jobs
Have you ever found yourself in a situation where certain SQL Server Agent jobs are taking up more than their fair share of CPU resources? It’s a common scenario in the world of database management, where jobs essential to your database’s functionality end up hogging the limelight, so to speak. The Resource Governor (RG) is a powerful tool in SQL Server’s arsenal, designed to help you manage these situations. However, applying it effectively, especially to SQL Agent jobs, can be a bit tricky. This blog dives deep into the mechanics of Resource Governor and offers practical advice on managing your SQL Agent jobs efficiently.
Unraveling the Mystery of SQL Server Execution Plans
SQL Server execution plans are invaluable tools for diagnosing and optimizing database queries. They provide a visual representation of the operations SQL Server performs to execute a query. Understanding how to read these plans is essential for identifying performance bottlenecks and optimizing query performance. This post will guide you through understanding and reading execution plans, highlighting what to look for in poorly performing plans, and offering strategies to find and remove bad plans.
Row Mode Memory Grant Feedback in SQL Server: A Technical Overview
Understanding memory grants is important for ensuring SQL Server queries run efficiently, as they play a pivotal role in allocating temporary storage for data operations like sorting and joining. By analyzing how SQL Server calculates these grants and the impact of new features like Row Mode Memory Grant Feedback, database administrators can significantly enhance system performance. This blog delves into the mechanisms of memory allocation for query execution, the challenges it presents, and the operational benefits of leveraging advanced SQL Server functionalities to optimize resource utilization.
SQL Server’s Query Optimizer: Bridging the Gap to Peak Performance
We are always in search of ways to optimize query performance. At the heart of achieving these goals within SQL Server is the Query Optimizer, a sophisticated component of the SQL Server Database Engine. Its primary role is to evaluate various potential execution plans for a given query and select the most efficient path forward. This process is necessary for minimizing resource consumption and execution time, while enhancing the overall performance and scalability of database operations.
Optimizing SQL Server Performance with SQL Plan Guides
In SQL Server performance tuning, the inability to directly modify query text—often due to restrictions in application code or the use of legacy SQL Server versions that lack modern features like Query Store—poses a significant challenge. However, SQL Plan Guides offer a powerful alternative, providing a means to influence query execution plans and optimize performance without altering the queries themselves. This post delves into the concept of SQL Plan Guides, illustrating their utility and guiding through their creation and application.
Navigating Asynchronous Statistics Updates in SQL Server 2022
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.
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.
In-Memory OLTP in SQL Server: Leveraging In-Memory Tables for Performance
In the relentless pursuit of performance, database administrators and developers continually seek strategies to make applications faster and more efficient. SQL Server’s In-Memory Online Transaction Processing (In-Memory OLTP) feature is a significant stride in this quest. This blog post will dive into the world of In-Memory OLTP, exploring what it is, its benefits, how to get started, best practices, and conclude with some final thoughts.