Why Podcasts Matter for the Technical Professional

In a world of always-on learning and the relentless march of tech evolution, podcasts emerged as a quiet revolution in how I consume information.  I’ve been part of several podcasts this year, including recording one earlier today with Ed Roske for the Oracle community. As a data professional and technical specialist, for me they’re more […]

Taming Resource Hogs: Using SQL Server Resource Governor to Restrict User Group Consumption

Taming Resource Hogs: Using SQL Server Resource Governor to Restrict User Group Consumption As a SQL Server professional, I've often encountered situations where a single, poorly written query or a resource-intensive application threatened to cripple the entire database server. Performance bottlenecks, unexpected slowdowns, and user complaints become the norm, making your life as a DBA […]

Database Architecture Considerations for Implementing Content Moderation Services

Fellow SQL Server professionals, I wanted to share some insights and start a discussion about the database design challenges we face when implementing Content Moderation Services in enterprise applications. As more organizations build user-generated content platforms, the backend data architecture becomes critical for efficient moderation workflows. Database Design Challenges for Content Moderation Services Performance at […]

TCP Provider Errors in SQL Server

Transactional DDL in SQL Server: In Oracle, It Does Not Compute

Oracle treats most DDL as auto-committing, meaning once it executes, it's done. SQL Server, however, blurs that line in fascinating ways, allowing some DDL operations to be part of an explicit transaction.

We Gave Memory-Optimized Tables a Hash Lookup — Then Tried Pattern Matching Instead

Introduction It was the week before Black Friday — the biggest online ad rush of the year. Our US-based ad-tech platform was gearing up for an insane traffic spike. Hundreds of real-time campaigns were about to go live across multiple brands, each with thousands of user sessions flowing through our system. Every incoming user impression […]

Always On AG Latency for Read-Only Workload After Failover?

Unlocking Interoperability: A Guide to Foreign Data Wrappers in PostgreSQL and Aurora PostgreSQL AWS RDS

Unlocking Interoperability: A Guide to Foreign Data Wrappers in PostgreSQL and Aurora PostgreSQL AWS RDS As a database professional, I often encounter scenarios where data is fragmented across various systems. In today's distributed IT landscape, it's not uncommon for critical business information to reside in different databases, perhaps an on-premise PostgreSQL instance for legacy applications, […]

Life's Little Frustrations

As with others, I've had to deal with death in the family recently. Some other family members are dealing with cancer (a few friends too). Happily none of us has recently been a disaster zone, but that's happened too. So yeah, big, nasty scary stuff happens in life. However, for most of us, most of […]

When INCLUDE Columns Quietly Inflate Your Transaction Logs

In this article, I wanted to test a common assumption we DBAs make – that adding INCLUDE columns to indexes is harmless. I created a FULL recovery test database with a realistic wide Orders table containing extra large VARCHAR columns to simulate an ERP workload. I ran updates and measured transaction log backup sizes before and after adding INCLUDE columns to a nonclustered index. The results shocked me. The update without INCLUDE columns generated a 10 MB log backup, while the same update with INCLUDE columns produced over 170 MB – a 17x increase in log volume. I explain why this happens: INCLUDE columns are physically stored in index leaf rows, so updates affecting them write bigger log records. I also clarify that updating key columns generates even more log than INCLUDE updates because it involves row movement (delete + insert), but INCLUDE updates still cost more log than if those columns weren’t indexed at all. The takeaway is clear – INCLUDE columns are powerful, but they silently increase transaction log generation, impacting backup sizes, replication lag, and DR readiness. Always measure their real cost before deploying to production.