In this post, I’ll walk you through a PowerShell script that automates the restoration of a database from one AG to another. The script handles everything—from performing a COPY-ONLY backup on the source AG to restoring the database on the target AG’s primary and secondary replicas, applying transaction logs, and rejoining the database to the new AG seamlessly.
Five More SQL Server Error Log Messages You Should Care About
In a previous post, we explored five significant SQL Server error log messages that demand immediate attention. However, the SQL Server error log contains a wealth of additional information essential for maintaining the health and performance of your databases. In this sequel, we will highlight five more error log messages that should be on your radar. We’ll look into what each error means and offer suggestions for when you encounter them.
Manually Synchronizing a Lagging Secondary Replica in SQL Server Always On Availability Groups
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.
Securing NorthPine Bank’s Data: How SQL Server 2022 Can Help
NorthPine Bank, a fictitious yet representative financial institution, recognized the necessity to modernize its data infrastructure to safeguard sensitive customer information against emerging threats. The bank decided to migrate its operations to SQL Server 2022, leveraging its advanced security features to enhance data protection, ensure regulatory compliance, and maintain operational efficiency. This blog explores the specific security challenges faced by NorthPine Bank and details how SQL Server 2022 addresses these issues through its robust, built-in features.
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.
The Hidden Costs of Over-Indexing SQL Server Tables
Over-indexing in SQL Server can lead to hidden costs that undermine database performance, including increased storage consumption, performance overhead on data modifications, and longer maintenance windows. This article explores how excessive indexing impacts query optimization, disk I/O, and system resources. Learn why a balanced indexing strategy is critical and discover best practices for managing your indexes effectively. Avoid the pitfalls of over-indexing and optimize your SQL Server for both performance and cost-efficiency.
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 SQL Server Database Growth with Files and Filegroups
As SQL Server databases expand over time, managing their growth becomes an important task. If not handled properly, this growth can lead to performance issues and maintenance headaches. One effective way to manage database growth is by using filegroups and data files thoughtfully. With proper planning, you can distribute your data across different storage devices, enhance performance, and keep your database scalable.
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.
Using Query Hints to Solve SQL Server Performance Issues
As professional DBAs, we’re often tasked with balancing query performance against resource consumption. While SQL Server’s query optimizer generally does an excellent job at selecting execution plans, there are times when we need more control. This is where query hints come into play. These hints provide a powerful way to override the default behavior of the query optimizer, allowing us to directly influence how queries are executed to solve performance bottlenecks. In this post, we will explore how query hints can be leveraged to address common performance issues and fine-tune your SQL Server workloads.