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.
Category: Performance
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.
Balancing Workloads in SQL Server with Resource Governor
Today’s database landscape requires strategies for ensuring optimal performance and resource allocation for your workloads. SQL Server’s Resource Governor is a feature that often flies under the radar but can be essential for fine-tuning the performance of your SQL Server environment. This blog post aims to demystify the Resource Governor, explaining its functionality, utility, and walking you through a practical example of setting it up for different user groups.
SQL Server AGs: Tackling Missing and Stale Statistics for Readonly Secondaries
In SQL Server’s Always On Availability Groups, understanding the behavior of statistics on secondary replicas is key to maintaining query performance. This post explores the challenges and solutions for managing statistics in read-only secondary databases and snapshots. We delve into two critical scenarios: the creation of statistics in secondary replicas when they are missing on the primary, and the handling of stale statistics due to differences in primary and secondary workloads.
A Faster Future: SQL Server 2022’s Parallel Buffer Scan
The new parallel buffer scan feature in SQL Server 2022 improves the performance of Buffer Pool scan operations on large-memory machines by utilizing multiple CPU cores. Customers running SQL Server on large-memory machines (e.g. TBs of memory) can see up to 4 ~ 20 times faster executions on some scenarios which has been slow due to Buffer Pool scan. Those scenarios include creating a new database, backup/restore operations, AlwaysOn failover, file drop, and DBCC check operations. Internal operations (e.g. checkpoint) that requires Buffer Pool scan will also get the benefits. The parallel scan feature also improves the Buffer Pool scan performance of small databases residing on large-memory machines.
Optimizing SQL Server 2022: Leveraging Auto-Drop Statistics
Auto-Create statistics is a well-known feature critical for the database performance. When one statistic is auto created, changing the table structure is not blocked by the presence of the statistic. An auto-created statistics is also dropped automatically when a schema change happens. On the other hand, if the statistic is created by the user, any schema change will be blocked by the presence of the statistic. The Auto-Drop setting on a statistic is a new SQL Server 2022 feature to change this behavior.