The concept behind frameworks and libraries is to provide reusable code that you can use to perform everyday tasks so that developers don’t have to write all of the code from scratch for every project. However, there are some differences that you need to understand as you start writing code, which I will cover in this article.
2023-07-05
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
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Accessibility ensures that everyone has a great experience on your site. Bikkani explains how to achieve web accessibility.
2022-08-29
Firebase is a SaaS platform that provides developers with many services to improve productivity and reduce build time. In this article, Goodness Woke demonstrates working with Firebase Version 9 and React Typescript.
2022-05-09
In this article, Shel Burkow uses the SQL execution plan from the previous article to write a program in Scala.
2021-04-20
This article is an interesting approach to solving a data transformation problem in SQL and Scala. Shel Burkow uses a SQL execution plan for software design.
2021-03-18
When inserting rows into a heap, SQL Server must sometimes update the PFS page which can PFS contention and affect performance. In this article, Uwe Ricken demonstrates how to measure PFS contention.
2021-01-25
To prevent data change anomalies, a database should be normalized. Did you know that there are 10 normal forms? In this article, Joe Celko reviews normalizing databases including commonly used normal forms.
2020-12-15
All queries run fast against columnstore indexes, right? In this article, Edward Pollack demonstrates some query patterns that don’t perform well and how to get around the issues.
2020-09-24
Uwe Ricken continues his series on heaps. This time he demonstrates a common scenario where the query against a heap is faster than a clustered index.
2020-09-17
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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