SQL Server 2008 R2 reaches RTM
On April 21 Microsoft announced SQL Server 2008 R2 has been released to manufacturing.
The downloads on Technet/MSDN on May 3....
2010-04-22
404 reads
On April 21 Microsoft announced SQL Server 2008 R2 has been released to manufacturing.
The downloads on Technet/MSDN on May 3....
2010-04-22
404 reads
Found out this week – that we should be restarting this service at least once a week ! (thus allowing the CPU...
2010-04-20
379 reads
Compiled by Abi Chapagai (April 2010)
Implementation of High Availability depends in the need of the business. Each of the technologies...
2010-04-18
24,376 reads
Introduction
In any distributed environment, database synchronization between two different locations or different servers’ is very essential for mission critical applications....
2010-04-18
2,246 reads
SQL Server 2008 High Availability Solution: Log Shipping
In SQL Server, transaction log provides an ability to recover a database...
2010-03-19
1,697 reads
Should we as DBAs be worried that we will become surplus to requirements if Oracle continues to enhance its capabilities to deliver a self-managing...
2010-02-23
384 reads
As a developer based primarily in the Microsoft world I have over the last 10 years spent time working with...
2010-01-29
1,318 reads
2010-01-26
359 reads
Hi,
I have a table name CustUsers. In this table, there is a field name: PWD
I have refreshed the production database...
2010-01-26
377 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