2018-02-28 (first published: 2018-01-10)
3,097 reads
Performance
2018-06-12 (first published: 2018-01-03)
1,973 reads
2018-05-30 (first published: 2018-01-03)
2,514 reads
Why is My Database Application so Slow?
When your application is running slowly, the reflex action is to blame the database queries. It is certainly true that some of the more extravagant delays can be fairly blamed on a missing index or unnecessary locking, but there are other potential villains in the drama, including the network and the application itself. Dan Turner points out that you could save a lot of time and money by working out for sure where the problems lie before diving into the detail.
2017-11-02
7,358 reads
SQL Server Performance Benchmarking with Patterns
A SQL Server, SQL Azure and Hekaton performance bench marking application that uses patterns.
2019-06-14 (first published: 2017-10-19)
5,000 reads
Investigating the Cause of SQL Server High CPU Load Conditions When They Happen
Any DBA who is trying to find the cause of an intermittent problem with a server or database dreams of being able to use a query or procedure take a snap of the relevant variables at the point when the problem occurred. Laerte takes an example of a slow-running query hogging resources to show that you can run queries when a WMI alert is fired, and save the results for later inspection, whenever it happens.
2017-09-20
4,188 reads
Five Mistakes Performance Tuners Make
Erik Darling explains why your queries aren't scaling in production.
2017-09-06
5,344 reads
Performance Myths : Oversizing string columns
Aaron Bertrand shows a quick demo that illustrates why you should be very careful about oversizing varchar / nvarchar columns.
2017-08-02
8,420 reads
Performance Myths: Oversizing string columns
Aaron Bertrand shows a quick demo that illustrates why you should be very careful about oversizing varchar / nvarchar columns.
2017-07-13
7,641 reads
2017-07-10
890 reads
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Question of the Day
Fun with JSON I
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