[SQL Snacks Video] Performance Tuning 101 – Baseline with PAL Tools
Welcome to Part 1 of my SQL Snack Pack on Performance Tuning! The series is dedicated to help beginners understand...
2014-09-17
1,127 reads
Welcome to Part 1 of my SQL Snack Pack on Performance Tuning! The series is dedicated to help beginners understand...
2014-09-17
1,127 reads
It may be true that you are one of a kind, a true techie with specialized skills that are hard...
2014-09-04
556 reads
I was attending Microsoft’s on-boarding training last week and one of the managers there mentioned that a lot of IT...
2014-08-28
868 reads
Now that I’ve finally started a new job (explains why I haven’t blogged for a while) I can discuss my...
2014-08-25
387 reads
Being in Philadelphia this past weekend was fantastic! I got to meet a lot of old friends, spend time with...
2014-06-09
610 reads
Less than a week left and I’m extremely excited about SQL Saturday in Philly on June 7th, 2014 and the...
2014-06-02
649 reads
Welcome back for part 3 of my SQL Snack Pack on Table Partitioning! If you have not watched the first two...
2014-04-28
931 reads
I’ll be doing double time over the next two weeks with Two Presentations on SQL Server Internals. It is essentially...
2014-04-22
654 reads
Welcome back for part 2 of my SQL Snack Pack on Table Partitioning! If you have not watched the first...
2014-04-15
624 reads
I hope you’re hungry for another SQL Snack! In fact, this will be one of a series of snacks (dare...
2014-04-08
637 reads
By HeyMo0sh
Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
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...
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