The Credit Debate
As databases grow, we store more and more types of data. This Friday's poll asks what types of data you don't want to store.
As databases grow, we store more and more types of data. This Friday's poll asks what types of data you don't want to store.
As databases grow, we store more and more types of data. This Friday's poll asks what types of data you don't want to store.
Knowing the various types of joins can greatly expand your T-SQL skills. Jambu Krishnamurthy brings us a refresher article on the various types of joins and how to write them.
Coming up with ways to do things automatically with software can be a boon to productivity, but not every idea is a good one.
An interview with a data warehousing expert Chuck Kelley with some views about the careers in data warehousing.
Jacob Sebastian brings a little more complexity to working with XML documents. Here we learn how to iterate through a document and use each node and perform some action on each one.
In this article Dinesh Priyankara shows how Visual Studio Team Edition for Database Professionals can be used to perform data comparison.
More and more companies are looking to use social software, like Facebook, to link employees, but is this a good thing?
More and more companies are looking to use social software, like Facebook, to link employees, but is this a good thing?
More and more companies are looking to use social software, like Facebook, to link employees, but is this a good thing?
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