Tame Those Strings Part 8 - Quoting
Continuing Steve Jones' series on string manipulation in T-SQL, this article examines how quotations are handled in T-SQL.
Continuing Steve Jones' series on string manipulation in T-SQL, this article examines how quotations are handled in T-SQL.
Steve Jones continues his series on string manipulation. This articles examines the issues of quotes when implementing dynamic SQL.
Adding non-core database features to a system can expand its capabilities, but it can also be an expensive use of your hardware and software licenses.
Business Intelligence Architect, Data Analyst, CPA, and author Bill Pearson introduces a subseries surrounding the DAX Text Functions, including LEFT(), RIGHT(), MID(), REPLACE(), and SUBSTITUTE() and breaks out the operational groups of functions involved. Next, he introduces the “Extract and Modify” group of text functions as the focus of this Level. Finally, he identifies and examines each functional member of the “Extract and Modify
In this article by Steve Jones, he shows you how to manipulate strings.
Expanding on his series of string manipulation in T-SQL, Steve Jones takes a look at how you go about removing those unseen characters from your strings.
The second part of Steve Jones's series on programming and manipulating strings in T-SQL.
The third part of Steve Jones's series on programming and manipulating strings in T-SQL dealing with REPLACE.
This is another part in my series designed to offer guidance around common issues in SQL Server. Today, let’s talk about the all-too-common error: invalid length.
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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
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