SQL Server’s performance and efficiency hinge on its ability to manage and store data effectively. At the heart of this capability are Columnstore Indexes and the Tuple Mover, a duo that works together to ensure data is stored efficiently, making it readily accessible for fast query execution. This post takes a look into the interplay between Columnstore Indexes and the Tuple Mover, highlighting the operational details and the impact of recent enhancements introduced in SQL Server 2019.
Author: Yvonne Vanslageren
Preventing Page Splits with Optimal Fill Factor Settings
The SQL Server Fill Factor is a setting that can be applied to indexes, which determines the amount of space to leave empty within the index pages. This setting is crucial for managing how densely SQL Server stores the index data on each page. It’s primarily used to improve performance and reduce page splits during insert or update operations that modify the index. The Fill Factor is specified as a percentage value.
Enhancing Data Durability with SQL Server’s REQUIRED SYNCHRONIZED SECONDARIES TO COMMIT Feature
SQL Server 2017 marked a significant advancement in high availability architectures by introducing the REQUIRED_SYNCHRONIZED_SECONDARIES_TO_COMMIT setting. This feature enhances data protection and integrity within Availability Groups (AGs) by meticulously controlling the transaction commit process across replicas. Its role has continued to be pivotal in subsequent releases, including SQL Server 2022, showcasing Microsoft’s commitment to robust data protection mechanisms.
SQL Server Performance Tuning: Dealing with Last Page Contention
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.
Ensuring Continuous Data Capture in SQL Server Across Failovers
Discover how to configure Change Data Capture (CDC) in SQL Server to be High Availability (HADR) aware. This guide covers step-by-step instructions to ensure continuous data capture and system resilience across failovers, minimizing manual intervention and maximizing uptime.
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.
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 2022 Enhancement for Accelerated Database Recovery
With its debut in SQL Server 2019, Accelerated Database Recovery (ADR) represents a paradigm shift in database recovery and performance enhancement. The primary objective of ADR is to drastically cut down the time databases require to recover from crashes, failures, or restarts. This is particularly important in environments where long-running transactions are common, ensuring that databases remain available and performant, even in the face of unexpected disruptions.
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.