In the second article of this series, Uwe Ricken discusses ways to affect the performance of queries involving heaps, including the TOP operator, compression, and partitioning.
Let's say your QA team maintain two similar test databases. They run tests to verify that different versions of the same application still produce the same, correct results. Therefore, any differences in the test data, between the two databases, needs to be corrected before the tests start. This is the sort of task for which SQL Data Compare is ideally suited, and Bob Sheldon explains how it all works.
This webinar will cover how to use SQL Server plan guides and the query store to fix problematic queries and ways to improve query performance.
Can you run a system better than cloud vendors? You should know and be able to prove it.
Learn how to create a Synapse resource and upload data using the COPY command.
Since SQL Server is supported in containers, you can now run a SQL Server instance in your macOS without dual-booting or running a virtual machine. In this article of the series, Carlos Robles demonstrates how to connect to the SQL Server once it’s running.
Louis Davidson provides a pair of SQL Prompt snippets that will help you deal with dependencies, whenever you need to drop columns or tables.
I always look forward to new T-SQL features and optimizer enhancements with every new version of SQL Server. Starting in 2017, Microsoft came up with a set of features called Intelligent Query Processing (IQP). These features work to improve performance without changing any code. If you’d like to learn more about these features, take a […]
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
hi everyone I am not sure how to write the query that will produce...
Comments posted to this topic are about the item Rollback vs. Roll Forward
Comments posted to this topic are about the item Foreign Keys - Foes or...
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 *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers