External Article

How to Use GROUP BY in SQL Server

Summarizing data in a SELECT statement using a GROUP BY clause is a very common area of difficulty for beginning SQL programmers. In Part I of this two part series, we'll use a simple schema and a typical report request to cover the effect of JOINS on grouping and aggregate calculations, and how to use COUNT(Distinct) to overcome this.

External Article

Reporting@Home: Delivering Dynamic Graphical Feedback to Participants

A new generation of computationally intensive scientific research projects relies on volunteers from around the world contributing idle computer time to calculate mathematical models. Many of these projects utilize a common architecture to manage the scheduling and distribution of calculations and collection of results from participants. User engagement is critical to the success of these projects, and feedback to participants illustrating their role in the project’s progress is known to increase interest and strengthen the community.

Blogs

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

By

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

EightKB 2026

By

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

The FinOps Lifecycle: From Budgeting to Reporting

By

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

Read the latest Blogs

Forums

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

Visit the forum

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