2016-06-22
1,216 reads
2016-06-22
1,216 reads
2016-06-01
1,463 reads
SQLXML isn't exactly new technology, but like the even more venerable BCP, it remains the quickest and most reliable way of heaving large quantities of data into SQL Server databases. SQLXML is very versatile, and once set up is wonderfully reliable ETL system, but isn't trivial to learn. Adam Aspin comes to the rescue with a simple guide.
2015-06-23
4,935 reads
When you delete a business transaction from the database, there are times when you might want to keep a record of the data for posterity. In this article, Dwain Camps looks at a tidy means of doing just that.
2015-01-08
12,561 reads
2014-08-15
1,897 reads
Have you received an XML file that must be migrated into a production database? Today’s workshop dives into an ad hoc method of processing relational datasets delivered in an XML file format.
2014-04-24
4,425 reads
An introduction to the XML Schema Collection and XML validation.
2014-04-17
19,574 reads
2014-01-28
1,775 reads
A stored procedure that will parse (shred) the contents of any well-formed XML document into a SQL table.
2015-04-08 (first published: 2013-07-09)
5,214 reads
Exporting data to XML format using SSIS initially seems like it should be straight forward – just dump it in a flat file and give it a name xml type, however SSIS has no XML destination just an XML source. I had no luck dumping the XML in flat file. My solution was to use a script task which worked well.
2013-06-27
3,831 reads
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...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
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