If you’ve ever had to format dates and times in SQL, you’ve probably come across one of the most jarring realities of working across platforms: every major RDBMS does it differently and sometimes confusingly. What’s a TO_CHAR() in Oracle becomes FORMAT() or CONVERT() in SQL Server, and its sort of the same in PostgreSQL… but […]
2025-07-11
214 reads
Meta Description: App-level vulnerabilities can co...
2025-08-15 (first published: 2025-06-12)
85 reads
When you create something, do you think about the future? Steve asks the question today.
2025-01-29
141 reads
2025-01-17
154 reads
There are a number of ways to run SQL Server for free (or low cost) for development. Read a bit about how to do this.
2024-02-23
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One of the slowest parts of any application is data retrieval and in this article, we look at how to cache SQL Server data for a web application.
2023-05-22
When I first started work as a software developer, I knew that getting an environment set up where I could compile a project might take a few hours or a few days. The complexities of how people built software projects, the dependencies, and more were handled in a very immature manner. These days I can […]
2022-11-16
211 reads
Steve notes that there are differences between state based development and migration based development, but neither is necessarily better.
2021-10-06
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2020-11-13
124 reads
The challenges of state in databases can impact our development efforts.
2020-08-31
98 reads
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
By Steve Jones
I come to Heathrow often. Today is likely somewhere close to 60 trips to...
By Brian Kelley
If your organization is spending money, then meaningful results are a must. Pen testing...
Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
Comments posted to this topic are about the item Answering Questions On Dropped Columns
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