This article demonstrates the flexibility of static SQL when using the CASE function in a WHERE clause, SELECT clause, ORDER BY clause, GROUP BY clause, HAVING clause, and JOIN. This is done with five examples and includes sample code you can execute on your SQL Server.
2002-03-14
11,529 reads
Robert Marda continues his series on dynamic SQL and shows you how to rewrite some queries that you may think need dynamic SQL.
2002-03-07
13,121 reads
Sooner or later everyone who works with SQL Server hears that it is better to avoid dynamic SQL at all cost. Dynamic SQL will force you to give out more permissions than static SQL. This article by Robert Marda shows you some of the security issues with dynamic SQL.
2002-02-27
12,970 reads
In this article by Robert Marda, he shows you how to detect and correct deadlocks.
2002-02-19
8,395 reads
Most DBAs and developers prefer not to use dynamic SQL for a number of reasons. There are some reasons to use this query type though. This article covers a few of those.
2002-02-12
14,860 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