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SQLServerCentral Article

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, […]

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2025-07-21

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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.

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2025-07-18

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SQLServerCentral Article

Getting In: Running External Code in a Locked-Down PaaS

In Part 1, I explored how to bend SQL Server Agent to our will and peek under the hood of Azure SQL Managed Instance (SQL MI), gaining full OS access to the container (all without relying on xp_cmdshell). But once I realized what kind of door I'd opened, curiosity pushed us further, tempting us to […]

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2025-07-17 (first published: )

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SQLServerCentral Article

Cassandra Springboot Integration With Redis

Article Overview In this article we will learn how to integrate a Spring boot application with Apache Cassandra database and Redis cache. This is an extension to one of our previous articles which demonstrates the steps to set up Apache Cassandra and how to integrate is with Springboot, link shared below. https://www.sqlservercentral.com/articles/cassandra-springboot-integration In this tutorial […]

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2025-07-14 (first published: )

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SQLServerCentral Article

Revolutionizing Efficiency: The Power of Custom Automation Software Development

With the ever-increasing pace of the digital era, companies are continuously looking for opportunities to enhance efficiency, cut costs, and optimize operations. The most viable way to accomplish these is through Custom Automation Software Development.

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2025-07-11

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SQLServerCentral Article

Cloning Master Admin User Permissions in Amazon RDS for SQL Server with Fine-Grained Control

This article explores how to securely clone the master user permissions in Amazon RDS for SQL Server using a custom stored procedure, usp_rds_clone_login. It outlines a step-by-step process to generate, review, and apply a script that replicates server- and database-level access from the master user to a new login without directly exposing elevated credentials. The guide emphasizes the principle of least privilege, supports named account management, and enables transparent, auditable permission handling for DBAs and applications. Designed for secure and scalable environments, this solution enhances operational security while maintaining administrative flexibility in Amazon RDS.

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2025-07-09

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Question of the Day

Fun with JSON I

I have some data in a table: 

CREATE TABLE #test_data
(
    id INT PRIMARY KEY,
    name VARCHAR(100),
    birth_date DATE
);

-- Step 2: Insert rows  
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned? 
SELECT *
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t;

See possible answers