TempDB contention is a common challenge in SQL Server when running highly concurrent workloads. In this post, we will explore why it occurs, how to identify it, and some practical solutions—especially leveraging In-Memory OLTP and memory-optimized table variables.
Category: Storage Engine
Optimizing Table Width and Data Types in SQL Server
Organizing data effectively in SQL Server can be a juggling act. You may be tempted to make tables as all-encompassing as possible by giving columns very large data types or piling on extra fields for convenience. While this seems harmless in the short term, it can lead to heavier storage requirements, slower queries, and frequent obstacles when updating the schema. Narrower tables, carefully chosen data types, and a normalized design often work together to keep a database agile and efficient.
Using TRUNCATE TABLE with Table Partitions in SQL Server
In SQL Server, the TRUNCATE TABLE command is often favored over DELETE for its efficiency when removing data from a table. However, when working with partitioned tables, the locking behavior changes slightly. Additionally, the LOCK_ESCALATION = AUTO setting can further optimize performance by managing lock escalation at the partition level. We explore how these features interact, providing an in-depth look at locking behavior when truncating partitioned tables and the role of LOCK_ESCALATION = AUTO.
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.
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.
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.
Five SQL Server Error Log Messages You Should Care About
SQL Server error logs are a treasure trove of information, containing important details about the health and performance of your database server. These logs are essential for troubleshooting issues, identifying potential problems before they escalate, and ensuring the overall stability of your SQL Server environment. By regularly monitoring and understanding the contents of these logs, database administrators (DBAs) can proactively manage their servers and avoid catastrophic failures. In this blog post, we will highlight five specific error log messages that should immediately catch your attention, explain what they mean, and outline the steps you should take when you encounter them.
Understanding SQL Server Checkpoints
In SQL Server, checkpoints are essential for maintaining data integrity and ensuring efficient recovery. During a checkpoint, changes made in memory (dirty pages) are written to disk, ensuring that the database state can be accurately recovered in the event of a failure. This process is governed by a mechanism called Write-Ahead Logging (WAL), which ensures that all log records related to changes are written to disk before the corresponding data pages.
Understanding the Importance of Bucket Counts in Hash Indexes for Memory-Optimized Tables
In the realm of memory-optimized tables, every table must have at least one index to connect its rows. Notably, every index on such tables is also memory-optimized. Among the various types of indexes available, hash indexes stand out for their unique structure and functionality. Understanding the importance of bucket counts in hash indexes for memory-optimized tables is crucial for maintaining optimal performance in SQL Server. This post looks at the structure of hash indexes, how to specify and adjust bucket counts, and the consequences of incorrect bucket counts. Learn best practices for planning and optimizing your hash indexes to ensure efficient data management and avoid common performance pitfalls.