Understanding backup and restore processes is essential for developers and DBAs to be more confident when dealing with uncommon situations and having the ability to suggest flexible solutions related to these processes. In this article, Sergey Gigoyan answers some key questions relating to backup and restore.
In SQL, you can express the logic of what you want to accomplish without spelling out the details of how the database should do it. Nowhere is this more powerful than in constraints. In this introduction to Declarative SQL, Joe Celko demonstrates how you can write portable code that performs well and executes some complex logic, merely by creating unique constraints.
This week Steve Jones looks at how we make secutiy decisions for our systems, and whether this is really the best way to do things.
With the introduction of SQL Server 2016 you now have a new way to encrypt columns called Always Encrypted. With Always Encrypted, data is encrypted at the application layer via ADO.NET. This means you can encrypt your confidential data with your .NET application prior to the data being sent across the network to SQL Server. In this article, Greg Larson explains his experience with exploring setting up a table that stores always encrypted data.
Convert the rows of a SELECT statement into a predetermined number of columns.
This week Steve Jones wants to know if you have eventual consistency in your environment?
Integrating big data appliance solutions into a data warehouse requires preparation and forethought. DBAs and business data consumers must work together both to address the implementation issues above and to meet the needs of multiple business data consumers. Lockwood Lyon discusses the topic.
Steve Jones continues the never ending argument of whether software developers deserve the moniker of engineer.
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
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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