Data Compression Double Take
A lot has been written about the potential performance benefits of SQL Server data compression; but hard performance data? Not so much.
A lot has been written about the potential performance benefits of SQL Server data compression; but hard performance data? Not so much.
Under the pseudonym of 'SwePeso', Peter Larsson is famous on SQL forums for the amazing performance he can get from SQL. How does he do it? In the first of a series of articles, Peter explains his secrets.
The Partition clause in the Row_Number() Over() function is a quick tool for eliminating duplicate rows.
Today Steve Jones has a poll about the new AlwaysOn feature in SQL Server 2012. Is it worth the upgrade for your company?
How merge replication works, including the impact on the published database. The merge agent, different conflict situations and their resolutions are introduced.
When you are using SSIS, there soon comes a time when you are confronted with having to do a tricky task such as searching for particular connection strings in all your SSIS packages, or checking the execution history of scheduled SSIS jobs. You can do this type of work effectively in T-SQL as Feodor Georgiev explains.
How to change the port number for connections to SQL Server.
A lot has been written about the potential performance benefits of SQL Server data compression; but hard performance data? Not so much.
Today Steve Jones talks about the conflicting demands of home and work and how you can reconcile the requirements of both.
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