The Case of the Shrinking CFO, err Database
Shrink SQL Server databases quickly and with virtually no contention.
2017-12-25 (first published: 2015-08-17)
4,355 reads
Shrink SQL Server databases quickly and with virtually no contention.
2017-12-25 (first published: 2015-08-17)
4,355 reads
How to delete millions of rows with virtually no contention.
2015-09-04 (first published: 2013-03-06)
28,362 reads
A SQL Server migration with minimal business impact while synchronizing schema and data.
2013-09-23
3,376 reads
Your production SQL Server transactional replication just failed and the business impact is critical. How do you get replication restored in minutes?
2013-05-30
8,597 reads
This article will show you one way to quickly restore SQL Server replication with huge tables.
2012-05-18
7,753 reads
How do you delete millions of rows with minimal impact to the business? This article gives you a way to accomplish the removal of old data.
2012-03-06
15,486 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