This guide explores Distributed Network Names (DNNs) for managing AlwaysOn Availability Groups on Azure SQL Server VMs. It explains how DNNs differ from Virtual Network Names (VNNs), highlights the benefits of DNNs (simplified configuration, enhanced flexibility, improved availability), and provides a step-by-step walkthrough for setting up a DNN listener using PowerShell.
Category: Availability Groups
Understanding Availability Group Synchronization in SQL Server
A fundamental aspect of managing Availability Groups is understanding how data synchronization occurs between the primary and secondary replicas within the group. This process ensures that all replicas are up-to-date, reflecting changes made in the primary database across all secondary databases in the group. Let’s look into how this synchronization works and the importance of the ‘redo’ operation in maintaining data consistency.
Flow Control in Availability Groups and SQL Server 2022 Enhancements
SQL Server’s flow control in Availability Groups ensures optimal resource usage by managing log message distribution, thus safeguarding system performance. This mechanism operates seamlessly without compromising replica synchronization, with monitoring options available for detailed analysis. The latest iteration in SQL Server 2022 further refines flow control, enhancing the database’s efficiency and stability.
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.
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.
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.
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.
SQL Server 2022: Improving Database Performance with Enhanced Parallel Redo
In the world of database management, SQL Server has consistently pushed the boundaries of performance and efficiency. The release of SQL Server 2022 marks another milestone, particularly in the realm of parallel redo operations. Let’s delve into how SQL Server 2022 transforms the landscape of thread management and batch redo, overcoming the limitations of its predecessors.
The Art of Resolving HADR_SYNC_COMMIT Waits in SQL Server
Navigating the complexities of SQL Server’s Always On Availability Groups can sometimes feel like solving a complex puzzle. One such challenging aspect involves understanding and resolving wait types related to Hadr_sync_commit. These wait types are like intricate clues that can reveal potential performance bottlenecks or issues in your Always On setup.