An Introduction to Database Design
An introduction to database design for those people that might not understand what is involved.
2013-01-11 (first published: 2011-01-18)
28,155 reads
Paul White
- Twitter: @https://www.x.com/SQL_Kiwi
- Website: https://www.sql.kiwi
Understanding and Using APPLY (Part 2)
The second of a series by Paul White examining the APPLY operator. In this section learn how this operator compares with joins and about both the cross and outer options.
2012-01-13 (first published: 2010-04-19)
29,092 reads
Understanding and Using APPLY (Part 1)
The first of a two-part series of articles examining the APPLY operator. Learn the basics of how this operator works and how it can help you solve some tricky problems.
2012-01-06 (first published: 2010-04-12)
51,835 reads
Inside the Optimizer: Constructing a Plan - Part 4
The final part in a series by Paul White exploring the internals of query optimization. Learn how
2010-09-16
5,560 reads
Inside the Optimizer: Constructing a Plan - Part 3
Join Paul White in part three of a four-part series exploring the internals of query optimization as he looks at the rules that are used to build the execution plan.
2010-09-14
6,461 reads
Inside the Optimizer: Constructing a Plan - Part 2
How does the query optimizer build an execution plan for your queries? Paul White shows is in part two of a four-part series exploring the internals of query optimization.
2010-09-09
7,833 reads
Inside the Optimizer: Constructing a Plan - Part 1
Part one of a four-part series exploring the internals of query optimization from T-SQL guru, Paul White.
2010-09-07
12,874 reads
Optimising Server-Side Paging - Part II
The second part of this series compares four methods of obtaining the total number of rows in a paged data set.
2010-05-24
18,915 reads
Optimising Server-Side Paging - Part I
This article by Paul White presents an optimisation for paging through a wide data set.
2010-04-26
27,787 reads
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Question of the Day
Fun with JSON I
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 *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers