SQLServerCentral Article

Advanced SQL Server Page Forensics: Detecting Page Splits and Allocations with DBCC PAGE

Page splits are an often-overlooked performance killer in SQL Server. In this article, we take a forensic look at how serial inserts differ from mid-table inserts, revealing why inserting rows out of order causes hidden page splits, increased IO, and fragmentation. Using a wide-column table, we demonstrate both scenarios and decode their impact with page-level analysis.

(1)

You rated this post out of 5. Change rating

2025-09-02 (first published: )

2,458 reads

SQLServerCentral Article

Deprecated but Forgotten: Why SQL Server’s Text, NText, and Image Data Types Still Haunt Your Systems

TEXT, NTEXT, and IMAGE columns have been deprecated for nearly two decades, yet they still silently haunt many SQL Server environments. This article explains their hidden limitations with practical demos and shows why migrating to VARCHAR(MAX), NVARCHAR(MAX), and VARBINARY(MAX) is critical for modern performance, maintainability, and future upgrades.

(4)

You rated this post out of 5. Change rating

2025-09-02 (first published: )

2,221 reads

SQLServerCentral Article

How a Legacy Logic Choked SQL Server in a 30-Year-Old Factory

When a SQL Server Express-based factory app started crawling, the culprit wasn’t hardware or network — it was a decades-old WHILE loop migrated from C/C++ to SQL. This real-world story breaks down how procedural habits, memory grants, and lack of window functions nearly derailed a production floor.

(6)

You rated this post out of 5. Change rating

2025-07-28

14,337 reads

SQLServerCentral Article

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 […]

(6)

You rated this post out of 5. Change rating

2025-07-22

2,362 reads

SQLServerCentral Article

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.

(3)

You rated this post out of 5. Change rating

2025-07-18

678 reads

Blogs

T-SQL Tuesday #193 - Notes to Self

By

T-SQL Tuesday is a monthly blog party hosted by a different community member each...

T-SQL Tuesday #193 – Notes to my past self and from my future self

By

It has been a while since my last T-SQL Tuesday blog. When I saw...

T-SQL Tuesday #193 – Notes to past and future me

By

The last T-SQL Tuesday of the year is hosted by my good friend Mike...

Read the latest Blogs

Forums

What is the PRODUCT

By Steve Jones - SSC Editor

Comments posted to this topic are about the item What is the PRODUCT

Metadata Driven Pipelines (Incremental Load): The Fabric Modern Data Platform

By John Miner

Comments posted to this topic are about the item Metadata Driven Pipelines (Incremental Load):...

Metadata Driven Pipelines (Incremental Load): The Fabric Modern Data Platform

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Metadata Driven Pipelines (Incremental Load):...

Visit the forum

Question of the Day

What is the PRODUCT

In SQL Server 2025, what does this return?

CREATE TABLE Numbers
( n INT)
GO
INSERT dbo.Numbers
(
n
)
VALUES
(1), (2), (3)
GO
SELECT PRODUCT(n)
FROM dbo.Numbers

See possible answers