Get Set For Speed
Loops are common in application code, but set-based solutions are the way to go with SQL.
Loops are common in application code, but set-based solutions are the way to go with SQL.
You’ve been performance tuning queries and indexes for a few years, but lately, you’ve been running into problems you can’t explain. Could it be RESOURCE_SEMAPHORE, THREADPOOL, or lock escalation? These problems only pop up under heavy load or concurrency, so they’re very hard to detect in a development environment.
We can't always explain how AI systems work. Steve Jones wonders if this is a loophole in the GDPR legislation.
This article outlines the performance innovations in SQL Server 2016 for Columnstore Index and BatchMode Execution.
Technology is constantly moving forward, but it is also helpful to understand how we arrived where we are today. Joe Celko reminisces about the history of database design and how it relates to the concept of ‘Degree of Duplication’ in this article.
The need for data imports, exports, and transformations seems to be growing.
SQL Server Reporting Services has been the go to reporting solution for SQL Server for almost a decade now. In many organizations, the ease of development, web front end and security make SSRS the tool of choice.
A Sudoku solution can be resolved using a single select statement. The first article shows this method and next how this can be optimised to resolve complex puzzles in seconds.
If you have a database backup of a Transparent Data Encryption (TDE) enabled database, the database backup will contain encrypted data. Because the database backup contains encrypted data you can’t just restore it to any instance. You can only restore the database backup to an instance that contains the same certificate used to originally encrypt the database.
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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