SQL Server provides a variety of ways to tune XML so that it provides consistent performance, consumes less space, all while ensuring efficient access to critical data. At its core, the metadata-styled XML format runs counter to the data that SQL Server is optimized to manage.
2024-07-15
XML is a common storage format for data, metadata, parameters, or other semi-structured data. Because of this, it often finds its way into SQL Server databases and needs to be managed alongside other data types.
2024-06-24
2022-01-28
562 reads
Determining the property syntax when modifying XML values in SQL Server can be time consuming if you don’t work with XML regularly. SQL Server includes a very flexible XML...
2019-05-15
Learn how to use T-SQL to fix contents of an XML document using FLWOR
2019-01-17
2,558 reads
What is the most efficient way to modify XML values? To allow for precise modification of XML nodes and values, the XQuery XML query language employs an extension known as the XML Data Modification Language (DML). The XML DML uses the XML modify() method, which makes use of three operational keyword sets: insert, replace value of, and delete. Seth Delconte takes a closer look.
2018-07-11
2,712 reads
Free download to all Simple Talk users. XML has been part of the SQL Standard since 2003, and is essential for any DBA because so many of the dynamic management views return XML data. Now that the industry is more used to data defined by document markup, it is becoming more important than ever for Database Developers and DBAs to understand the technology and to know where it makes sense to use XML.
2017-06-02
6,152 reads
Source xml is a rendition of a cross-tab report. I show the evolution of a Spackle solution for import as a SQL resultset.
2017-06-08 (first published: 2017-06-01)
475 reads
2017-01-20
1,005 reads
2016-08-25
1,126 reads
By Patrick
SQL Server Audit is an efficient way to track and log events that occur...
I presented at SQL Saturday Pittshburgh this past weekend about populating your data warehouse...
By Steve Jones
A customer was asking recently about the RPO for their estate, and I showed...
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I have this data in my Customer table:
CustomerID CustomerName 1 Steve 2 Andy 3 Brian 4 Allen 5 DevinI run this code:
SELECT
t.CustomerID
, c.value
FROM
( SELECT
CustomerID
, STRING_AGG (CustomerName, ',') AS me
FROM customer
GROUP BY CustomerID) t
CROSS APPLY STRING_SPLIT(me, ',') c;
What is returned? See possible answers