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SQLServerCentral Editorial

Shining a Light on Shadow AI - Responsible Data Protection When AI is Everywhere

  • Editorial

As someone who has had the honor of delivering keynotes at both Oracle and SQL Saturday data events, I’ve spent time with professionals on both sides of the database world.  I’ve held the title of database administrator, developer, engineer and architect for structured, transactional giants and the analytics-heavy ecosystems of eight different database platforms, (not […]

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2025-05-17

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SQLServerCentral Editorial

How Do You Know You Are Right?

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I spend a significant amount of time working alone at my desk. I write articles, edit them, and share my opinions. However, I am constantly concerned about being wrong. How can I overcome this feeling? If this were a live session, I would eagerly listen to the answers to this question. Since it isn't, I […]

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2025-05-10

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External Article

Exploring the SQL Server CHOOSE Function

  • Article

I preface a lot of what I write with whether or not it is for a “practical” use. One of the Simple Talk authors used this function in a forthcoming article. and I realized I hadn’t heard of it before (or I forgot about it… which is not completely unlikely.) The practical use was to generate some data and have at least a little variety to the values.

2025-05-09

SQLServerCentral Editorial

Just Answer the Question!

  • Editorial

I've taken part in online forums since... hoo boy, I was using a dial up modem and had to constantly remind my wife not to pick up the phone while I was using the computer.  Man I'm old. Anyway... I've asked a lot of questions over the years, and I've tried to answer them as […]

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2025-05-03

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SQLServerCentral Article

Modern Streaming Architecture Serverless Pool with Spark Streaming

  • Article

With the ubiquity of real-time data, organizations need streaming systems that are scalable, easy to use, and easy to integrate into business applications. Structured Streaming is a new high-level streaming API in Apache Spark based on my experience with Spark Streaming. In this article, we show structured streaming data written into Spark Tables and consumed by reporting Analytic for reporting needs.

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2025-05-02

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SQLServerCentral Editorial

Life Moves Pretty Fast

  • Editorial

Driving my soon-to-be granddaughter to school today (my son is getting married and will adopt the young lady), we saw a dead armadillo, a turtle in the road (rescued it) and an escaped cow (left it alone). THEN... old soon-to-be granddad had forgotten lunch, so had to deliver that back at the school (cow must […]

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2025-04-26

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Question of the Day

The string_agg function

We create the following table and then insert some records in it:

create table t1 (
   id int primary key,
   category char(1) not null,
   product varchar(50)
);

insert into t1 values
(1, 'A', 'Product 1'),
(2, 'A', 'Product 2'),
(3, 'A', 'Product 3'),
(4, 'B', 'Product 4'),
(5, 'B', 'Product 5');
What happens if we execute the following query in both Sql Server and PostgreSQL?
select id, 
category, 
string_agg(product, ';')
                 over (partition by category order by id
                 rows between unbounded preceding and unbounded following) as stragg
from t1;

See possible answers