Articles

SQLServerCentral Article

How to Safely Remove a SQL Server Data File Without Downtime

Learn how to safely remove a SQL Server .ndf data file without any downtime using DBCC SHRINKFILE (EMPTYFILE). This hands-on tutorial walks through real-world Azure-based setup, data redistribution, and storage cleanup — ideal for DBAs managing enterprise SQL Server environments.

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2025-05-16

2,776 reads

External Article

Evaluating the Randomness of SQL Server Random Number Functions

Microsoft provides T-SQL developers with three functions (rand, newid, and crypt_gen_random) for generating random numbers. Each of these functions is effective at returning random values, but feature sets associated with each function make them best suited to different use cases. This tip’s Solution section presents an overview of common use cases for random numbers in SQL Server along with references to learn more about random numbers in SQL Server.

2025-05-12

External Article

Exploring the SQL Server CHOOSE Function

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 Article

Modern Streaming Architecture Serverless Pool with Spark Streaming

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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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