Tame Those Strings! Part 4 - Numeric Conversions
The fourth part of Steve Jones's series on programming and manipulating strings in T-SQL dealing with numeric conversions.
2026-02-03 (first published: 2001-04-18)
9,660 reads
The fourth part of Steve Jones's series on programming and manipulating strings in T-SQL dealing with numeric conversions.
2026-02-03 (first published: 2001-04-18)
9,660 reads
The fifth part of Steve Jones's series on programming and manipulating strings in T-SQL dealing with STUFF.
2026-02-03 (first published: 2001-06-21)
10,927 reads
Need to proper case names? Want a quick way to reformat a series of words? This article examines a SQL approach to quickly proper casing all words in a field.
2026-02-03 (first published: 2001-10-24)
12,653 reads
This is a list of the builds for SQL Server 2022. There are other build lists available here. A list of all the builds that I can find and install on my Build VM. If you find a build not listed here, please let the webmaster know (webmaster at sqlservercentral.com). All builds are listed in reverse […]
2026-02-02 (first published: 2022-09-01)
4,807 reads
This is a list of the builds for SQL Server 2025. There are other build lists available here. A list of all the builds that I can find and install on my Build VM. If you find a build not listed here, please let the webmaster know (webmaster at sqlservercentral.com). All builds are listed in reverse […]
2026-02-02 (first published: 2025-11-24)
912 reads
Comparing strings has always been hard when we don't have great data quality. If we need exact matches, SQL Server works great. However, we often expect users to enter values without typos and know what values they want to find. Or at least know part of the string. However, matching with wildcards or partial strings […]
2026-01-28 (first published: 2026-01-16)
2,803 reads
In the last article, we examined fuzzy string matching in SQL Server 2025 with a few new functions. We know comparing strings has always been hard when we don't have great data quality. If we need exact matches, SQL Server works great. However, we often expect users to enter values without typos and know what […]
2026-01-23
1,900 reads
Learn about these new binary encoding and decoding functions in SQL Server 2025.
2026-01-09
2,531 reads
See how Claude Code helped load a lot of messy data into a database for less than $5.
2026-01-05
2,619 reads
I have been working in various computer languages for a long time. When I saw that the || operator was coming, I was a bit confused as to why we needed this, and how it would work. After all, this is a part of other languages. I decided to dig in a bit. This is […]
2025-12-19
8,459 reads
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
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