So often, one sees developers doing repetitive coding in SQL Server Management Studio or Visual Studio that could be made much quicker and easier by using the Regular-Expression-based Find/Replace functionality. It is understandable, since the syntax is odd and some features are missing, but it is still worth knowing about.
2011-02-04
3,971 reads
Many people deploy performance monitoring solutions in a "one-size-fits-all" manner. That is, they tend to build a solution that can be easily deployed to multiple servers and capture basic information from each server. The trouble is that not every server is identical, not even within the same shop. For example, not every server may have database mirroring deployed, which means your performance monitoring solution may be missing some critical pieces of information with regards to monitoring database mirroring.
2011-02-03
4,101 reads
With Reporting Services 2008, it is now much easier to produce charts from data in SQL Server, and the variety of charts seems almost limitless. All you need to get started is a quick step-by-step guide that tells you the basics and gets you past the stage of creating the first chart. Well, here it is.
2011-02-02
4,411 reads
Wesley has heard High Availablity touted as all sorts of technological cure-all for busy SysAdmins and DBAs, and now he's taking a stand against it. There are a range of things that High Availability is regularly confused with (either deliberately or innocently), and Wesley's clearing it all up
2011-02-01
4,724 reads
2011-02-01
1,986 reads
Dynamic Management Views and Functions aren't always easy to understand. However, they are the easiest way of finding out which of your stored procedures are using up the most resources. Greg takes the time to explain how and why these DMVs and DMFs get their information. Suddenly, it all gets clearer.
2011-01-31
5,532 reads
When Fabiano agreed to undertake the epic task of describing each showplan operator, none of us quite predicted the interesting ways that the series helps to understand how the query optimizer works. With the Merge Interval, Fabiano comes up with some insights about the way that the Query optimizer handles overlapping ranges efficiently.
2011-01-28
3,071 reads
Learn how you can connect to a SQL Azure database.
2011-01-27
1,945 reads
"A recent blog entry I read reminded me again that I wanted to rant about an issue in SQL Server for quite some time now. SQL Server 2005 introduced the separation between user and schema. Though schemata already existed before SQL Server 2005, they really became usable with this version, imho. At the same time TRY...CATCH was a new way for structured error handling introduced. And so it finally became possible…"
2011-01-26
2,799 reads
I set up a new instance of MS SQL Server Reporting Services, but I noticed that it starts up very slow and I have to wait for ages to access the site. I also noticed that it is always slow when it has not been used for a certain period of time.
2011-01-25
5,452 reads
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Hi all, I just started using VS Code to work with DB projects. I...
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
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