Glenn Berry explains how you can do some simple analysis to help decide the exact processor to should choose for a new database server, taking into consideration workload and budget constraints.
Inserting and updating table contents with data from other tables and/or views within the same database need not be a nail-biting ordeal. Rob Gravelle shares some common Insert and Update tasks to help avoid any problems.
Steve Jones talks a bit about the new data masking feature in SQL Server 2016 and how useful it can be.
OpenStack holds a great deal of promise as a cloud platform built on open standards, and has support from the major players in cloud services. It has the potential for allowing organisations to set up their own private cloud services that are designed to inter-operate. Is it ready yet for companies that want the convenience of cloud solutions, but with more control, and without the large subscription fees? Robert Sheldon finds out.
Today Steve Jones looks at the targeted attacks by hackers against individual security professionals.
Koen Verbeeck shows how to easily extract metadata from files in your directories with Power Query.
The challenges of data growth and sprawl can be compounded by the variety of tools and platforms available. Steve Jones notes that you might need to learn a bit about different technologies.
Redgate’s Database Lifecycle Management solution ensures database changes made in development environments are always tested and reviewed before being deployed, and adds automation to the process. Find out how by joining Steve Jones, MVP and editor of SQLServerCentral, as he demonstrates the solution and shows why such an approach is essential if you want to release changes frequently.
This article from Paul White examines some surprising behaviour of INSTEAD OF triggers and reveals a serious cardinality estimation bug in SQL Server 2014.
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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