Dates and Times in SQL Server: SMALLDATETIME
Last week I spoke about a world wary data type for storing dates and times in a single column, with...
2018-02-28
1,059 reads
Last week I spoke about a world wary data type for storing dates and times in a single column, with...
2018-02-28
1,059 reads
Last year I ran a series of posts about Database Fundamentals. Over the next few weeks, I will cover the...
2018-02-21
328 reads
Nested views are bad. Let’s get that out of the way. What is a nested view anyway? Imagine that you...
2018-02-14
2,326 reads
Tom Roush The SQL Family lost a much admired member to cancer last month, Tom Roush. In our little community,...
2018-02-07
392 reads
Victoria is on an island off the coast of Vancouver, British Columbia. The island is wisely called Vancouver Island. It...
2018-01-31
522 reads
As I mentioned a couple of weeks ago, I will be presenting for the first time at SQLBits in London,...
2018-01-24
330 reads
By now you have probably seen the news about a major flaw in the design of CPUs from all major...
2018-01-17
326 reads
A year ago, I wrote in a post that cloud computing is just someone else’s data center. I was wrong. Whether...
2018-01-10
368 reads
I have been working on a new information session, which I’m hoping to deliver this year. It’s about one of...
2018-01-03
306 reads
In November 2017, during the PASS Summit keynote, Microsoft’s Bob Ward (Principal Architect) demonstrated a “diskless database” running on Hewlett-Packard...
2017-12-27
370 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...
Hi all, I just started using VS Code to work with DB projects. 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
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