Data Growth
Today Steve Jones talks about the pace of data growth looking to outpace the IT budget changes. As data professionals, we need to learn to do more with less.
Today Steve Jones talks about the pace of data growth looking to outpace the IT budget changes. As data professionals, we need to learn to do more with less.
Introducing the replication monitor and how to use it to monitor replication health. It also introduces tracer tokens.
How can a company attract talent? First, be a good company to work for, and then be real.
SQL Saturday is hitting Dublin for the first time on March 24th.
This article describes my experience in upgrading a four node cluster with three active instances to SQL 2008
SQL Server includes a subset of four ranking functions that can be used to rank the rows of your result set over a partition. This article presents those functions and examples of their use.
A disconnected model is only really needed in the absence of a properly-defined database interface. We, as developers, create a rod for our own backs by insisting on treating a database in a way we wouldn't treat an object, let alone an assembly or namespace.
When rounded detail quantities are created by an allocation, often the total must foot back exactly to the allocated amount.
Today Steve Jones talks about one of the classic software developer debates. When formatting code, how should you do it?
The database field contains long string with data for Quantity and Parts. The challenge is to parse the data into separate (Quantity and Parts) fields for displaying in a report.
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