Additional Articles


Technical Article

Relational Databases 101

In this sample chapter, William R. Vaughn gives you a kick-start on designing relational databases that can perform better, be easier to maintain, and be more successful thanks to a combination of formal rules and informal suggestions to normalize your database.

2007-12-10

3,397 reads

External Article

TSQL Regular Expression Workbench

This Workbench is about using Regular expressions with SQL Server via TSQL. It doesn't even attempt to teach how regular expressions work or how to pull them together. There are plenty of such resources on the Web. The aim is to demonstrate a few possibilities and try to persuade you to experiment with them if you don't already use Regex with SQL Server.

2007-12-10

4,542 reads

Blogs

Optimising Costs: Strategies for Efficient Cloud Resource Management

By

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

Cost Visibility: Tracking and Analysing Your Cloud Spend

By

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

Whiling away an afternoon, thinking

By

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

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