Breaking Down DENSE_RANK(): A Step-by-Step Guide for SQL Enthusiasts
Learn how it works and how to use the DENSE_RANK() function in your code.
Learn how it works and how to use the DENSE_RANK() function in your code.
Ever wonder all the reasons that we use databases instead of file systems? While we don’t think of it too much anymore, the first reason that databases came into existence was to remove redundancies.
Using a CURSOR is not normally the best way to process through a set of records. Yet when a seasoned programmer moves to writing TSQL for the first time they frequently look for ways to process a sets of records one row at a time. They do this because they are not used to thinking about processing records as a set. In order to process through a TSQL record set a row at a time you can use a cursor. A cursor is a record set that is defined with the DECLARE CURSOR statement. Cursors can be defined as either read-only or updatable. In this article I will introduce you to using cursors to do record level processing one row at a time.
Today Steve discusses code freezes, those times when you don't allow changes to be made by developers.
Learn about the SQL Server plan cache and how SQL Server caches query plans, and the potential of plan cache bloat which could impact performance.
This article shows how you can use two Cosmos DB dataets in Azure Data Factory and join them on a common column.
Guy Glantser is an Israeli SQL Server guru with a ton of great presentations on YouTube. I’ve had the privilege of hanging out with him in person a bunch of times over the year, and I’ll always get excited to do it again. He’s not just smart, but he’s friendly and funny as hell.
I recently came back from a trip to Las Vegas. I was privileged to be able to take part in the very first Fabric Community Conference. It was a great event, well attended. BUT... It was in Las Vegas. I am not a fan. First of all, Vegas is just far too noisy for me. […]
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Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
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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
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