In high-availability environments, SQL Server Always On Availability Groups (AG) are essential for minimizing downtime and preventing data loss. However, situations can arise where a secondary replica lags behind the primary, disrupting synchronization and risking potential data inconsistencies. This blog provides instructions on how to manually catch up a lagging secondary replica using transaction log backups.
Author: Yvonne Vanslageren
The Hidden Layers of Dynamic Data Masking in SQL Server
Dynamic Data Masking (DDM) in SQL Server is a feature that helps prevent unauthorized access to sensitive data by obfuscating it at the display level. This blog post discusses the various types of masks available, such as default, email, custom string, and random masks. We explore permissions and access control, demonstrating how users can modify masked data without viewing its actual content. Additionally, we discuss the new permission enhancements in SQL Server 2022 that allow for more granular control over unmasked data.
Combining Always On Availability Groups with Peer-to-Peer Replication
Starting with SQL Server 2019 CU13, databases participating in a peer-to-peer replication configuration can now be part of an Always On availability group. This integration is flexible—you are not required to have all members of the replication configuration within an AG. You can mix and match AG and non-AG databases within your replication setup, significantly improving the availability and scalability of your configurations.
Managing IDENTITY and SEQUENCE Behavior in SQL Server Always On Availability Groups
In SQL Server Always On Availability Groups, maintaining data consistency during failovers is necessary for high availability and reliability. However, certain aspects of database behavior, such as the generation of values by IDENTITY columns and SEQUENCE objects, can lead to unexpected gaps or jumps after a failover or server restart. This can affect the continuity of sequential values, which is often important in business applications. In this post, we’ll look into how SQL Server handles IDENTITY columns and SEQUENCE objects in an Always On environment, explain the role of caching, and offer strategies to manage or prevent gaps in your sequences during failovers.
Understanding Kerberos Authentication in SQL Server
Kerberos, named after the mythical three-headed dog guarding the gates of the underworld, is a security protocol that enables secure authentication in network environments. It offers a significant improvement over older protocols like NTLM by allowing the delegation of credentials across multiple machines, making it ideal for distributed computing environments.
Ensuring Smooth SSRS Subscriptions in an Always On Availability Group
SQL Server Reporting Services (SSRS) is a powerful tool for managing and delivering reports in an enterprise environment. When configuring SSRS within a SQL Server Always On Availability Group, it’s essential to take specific steps to ensure that SSRS subscriptions continue to function properly during failovers. This blog outlines the key actions required to maintain seamless SSRS operations in such a setup.
Enhancing Availability with SQL Server AlwaysOn Database-Level Health Detection
AlwaysOn Database-Level Health Detection is an optional configuration that enhances the resilience of availability group databases. It monitors database transactions and, if an issue is detected, can automatically trigger a failover to another replica. This proactive measure helps maintain application availability even in the event of hardware or I/O failures.
Integrating SSISDB with SQL Server Always On Availability Groups: A Step-by-Step Guide
Incorporating SQL Server Integration Services (SSIS) with Always On Availability Groups (AGs) is not just a routine task but a necessary one to ensure the robustness of your data integration workflows. While SSISDB plays a central role in managing SSIS projects, it doesn’t inherently align with the high availability features provided by AGs. This guide aims to bridge that gap, offering a detailed and practical approach to integrating SSISDB with Always On Availability Groups, tailored to the unique demands of this database.
Enhancing Data Integrity: Automatic Page Repair with SQL Server Always On Availability Groups
SQL Server Always On Availability Groups are designed to provide a high-availability and disaster recovery solution that keeps your databases running smoothly even in the face of hardware failures and data corruption. One of the key features supporting this capability is Automatic Page Repair. This feature works behind the scenes to automatically fix corrupted pages in a database, thereby minimizing downtime and preserving data integrity. In this post, we will explore the mechanisms, benefits, and limitations of Automatic Page Repair, highlighting its role in enhancing SQL Server reliability.
Understanding Quorum Loss in a Windows Failover Cluster with SQL Server Always On Availability Groups
This article provides an in-depth exploration of quorum loss in Windows Failover Clusters and its impact on SQL Server Always On Availability Groups. It explains how nodes communicate using heartbeat packets, the process of handling failed heartbeats, and the rejoining of nodes to the cluster. The post also outlines various quorum voting configurations and their implications for cluster stability and data integrity. Additionally, it discusses the importance of maintaining quorum for high availability and disaster recovery in SQL Server environments.