Ryan Adams

Ryan Adams is a Senior Premier Field Engineer for Microsoft. He works directly with customers to help them realize their business potential and accelerate their digital transformation on premises and in the cloud.

Previously, Ryan was a Microsoft Data Platform MVP and spent 19 years working for a fortune 100 company. His passion is the SQL Server Engine, High Availability, and Disaster Recovery. He also served on the Board of Directors for the North Texas SQL Server User Group, was President of the PASS Performance Virtual Chapter, was a PASS Regional Mentor, and served as a Director for the PASS organization.

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Blog Post

Read-Scale Availability Group Setup

What is a Read-Scale Availability Group? A Read-Scale Availability Group is a Clusterless Availability Group.  It’s sole purpose and design is to scale out a read workload.  More importantly...

2018-07-05

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Blog Post

Read-Scale Availability Group Setup

What is a Read-Scale Availability Group? A Read-Scale Availability Group is a Clusterless Availability Group.  It’s sole purpose and design is to scale out a […]
The post Read-Scale Availability...

2018-07-05

4 reads

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Blogs

In-Person CISA Training – April 13-16, 2026

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I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...

EightKB 2026

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EightKB is back again for 2026! The biggest online SQL Server internals conference is...

The FinOps Lifecycle: From Budgeting to Reporting

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Working in DevOps long enough teaches you two universal truths: That’s exactly why I...

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Forums

VS Code, Unresolved References.

By mjdemaris

Hi all, I just started using VS Code to work with DB projects.  I...

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

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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;

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