Grant Fritchey

Grant Fritchey is a SQL Server MVP with over 20 years’ experience in IT including time spent in support and development. Grant has worked with SQL Server since version 6.0 back in 1995. He has developed in VB, VB.Net, C# and Java. Grant has authored books for Apress and Simple-Talk, and joined Red Gate as a Product Advocate in January 2011. Find Grant on Twitter @GFritchey or on his blog as the Scary DBA.

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SQLServerCentral Editorial

Personal Power

Because of my job with Redgate (which I love and will never leave even after I’m dead), I spend a lot of time learning about compliance and all the new laws and regulations coming out of things like the GDPR and the CCPA (they changed the name evidently). However, I’m a nerd. I’m not a […]

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2020-02-08

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Blog Post

Profiler: Time To Go

I’ve decided that, in fact, it is time to start moving people off the ancient technology, Profiler. Before, I always said, stay where you’re comfortable. However, keeping people comfortable...

2020-02-06 (first published: )

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Blogs

Optimising Costs: Strategies for Efficient Cloud Resource Management

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Over time, I’ve realised that one of the hardest parts of cloud management isn’t...

Cost Visibility: Tracking and Analysing Your Cloud Spend

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One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...

Whiling away an afternoon, thinking

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I come to Heathrow often. Today is likely somewhere close to 60 trips to...

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Fun with JSON II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Fun with JSON II

Changing Data Types

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Changing Data Types

Answering Questions On Dropped Columns

By Cláudio Silva

Comments posted to this topic are about the item Answering Questions On Dropped Columns

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Question of the Day

Fun with JSON II

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 t1.[key] AS row,
       t2.*
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t1
    CROSS APPLY OPENJSON(t1.value) t2;

See possible answers