Longtime author Leo Peysakhovich brings us a new series on converting XML data into regular data. This article examines validating the XML data against a schema.
2009-07-03 (first published: 2008-08-25)
16,830 reads
Longtime author Leo Peysakhovich brings us a new article on error handling when you have procedures nested inside each other.
2008-07-07
9,332 reads
More and more companies are using data warehouses as a way of consolidating business critical information. And more and more of these companies want the warehouse available 24 hours a day, 7 days a week. This presents interesting challenges for the DBA involved in ETL processing. Longtime author Leo Peysakhovich brings us one solution for this problem.
2008-03-06 (first published: 2007-03-19)
8,759 reads
Index Creation Guidelines for SQL Server can be pretty sparse. Usually there are a couple, clustered index for ranges, nonclustered, etc. Leo Peysakhovich has taken some time to write down his guidelines based on his experience for creating indexes and the rational for doing so. He's also taken a few minutes to look at which indexes NOT to create, something that might be worth knowing..
2007-10-02 (first published: 2004-06-16)
42,145 reads
Datetime data in SQL Server can be a little confusing to work with, especially as many front end languages do not combine the date and time into a single datatype. As a result, T-SQL is sometimes used to manipulate and convert datetime data into more useable formats. Author Leo Peysakhovich has written about some tricks that he uses to reformat and work with datetime data.
2007-10-02 (first published: 2004-12-22)
29,318 reads
Longtime author Leo Peysakhovich answers one of the most common questions seen in discussion areas around the world: how do you identify unused objects?
2006-09-11
26,573 reads
One of the big complaints in SQL Server development has been error handling. SQL Server 2005, however, substantially enhances its capabilies in this area and Leo Peysakhovich brings some code that provides a template for adding error handling to your application.
2006-03-14
19,191 reads
For many SQL Server 2000 DBAs working with text columns in T-SQL is no different than any other datatype. But there are some tricks when you work with very large values that you need to know. Leo Peysakhovich brings us some advanced queries that you might need if you work with large XML documents as he does.
2005-12-07
16,623 reads
Have you ever wanted an easy way to determine if a job is running for automated checks? This might not be an easy way, but Leo Peysakhovich provides a way that works and corrects an error in Books Online.
2005-10-18
29,132 reads
Auditing is becoming more and more important in many SQL Server environments. DBAs are being tasked with setting up, maintaining, and reporting on audit data. Author Leo Peysakhovich brings us one of his solutions to automatically generate an audit trail for your data.
2005-10-10
23,047 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