2025-12-15
1,362 reads
2025-12-15
1,362 reads
Knowing the usage from all workloads is definitely better than focusing on only the primary or a single secondary. But what if I want to make more informed decisions, incorporating row counts, size, and index columns into this output?
2025-10-27
Learn how indexes can help you with more than just querying data.
2025-10-22
17,230 reads
2025-06-23
456 reads
There are several things that you can do to improve performance by throwing more hardware at the problem, but usually the place you get the most benefit from is when you tune your queries. One common problem that exists is the lack of indexes or incorrect indexes and therefore SQL Server has to process more data to find the records that meet the queries criteria. These issues are known as Index Scans and Table Scans.
2025-06-06
Let’s get a little nerdy and look at database internals.
2025-02-24
Accelerated Database Recovery (ADR) is a database-level feature that makes transaction rollbacks nearly instantaneous. Here’s how it works.
2025-02-19
Let’s start with the Stack Overflow database (any size will work), drop all the indexes on the Users table, and run a delete:
2024-11-11
Learn about the ways in which you might better manage indexes for a better performing and efficient database.
2024-11-11
3,914 reads
In this article, we look at a SQL Server Dynamic Management View (DMV) that helps find queries that trigger missing index recommendations.
2024-10-18
By Vinay Thakur
Continuing from Day 4 where we learned Encoder, Decoder, and Attention Mechanism, today we...
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
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