This article covers the basics of full backup backups and restores in SQL Server. The examples are from SQL Server 2005 however it applies to SQL Server 2000 and SQL Server 2005. This is a very basic article covering full database backups, database restores and the simple and full recovery models.
In SQL Server 2005, there is a new feature called Plan Guides that can help out in some cases where you discover poorly performing queries that you don't have direct control over. Essentially, a Plan Guide allows you to add or modify query hints to queries on the fly, just before they are executed.
All the hype that once surrounded XML is finally starting to die down, and developers are really beginning to harness the power and flexibility of the language. XML is a data descriptive language that uses a set of user-defined tags to describe data in a hierarchically-structured format.
While SQL Server 2005 has greatly expanded the XML capabilities of the platform, many DBAs are still not familiar with or comfortable
with using XML in their coding. Yousef Ekhtiari brings us a new article that looks at a basic use of XML in inserting data into a table.
XML support has been significantly extended for SQL Server 2005. In this article, Tim Chapman takes a look at how you can shred XML data into a relational format with SQL Server's OPENXML function.
Microsoft has finally release service pack 2 for SQL Server 2005. Read a short commentary and get the links to download it now.
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Tim Chapman discusses new functionality in SQL Server 2005 that allows you to shred XML data into a relational format without the intensive memory operations. He also explains how using XQuery rather than OPENQUERY can lead to performance gains.
The 2007 PASS Summit is coming up in September and you can register early and save now, but is it worth going? Longtime author and successful DBA Don Peterson brings us a few thoughts on last year's Summit and the benefits of attending.
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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
Comments posted to this topic are about the item Answering Questions On Dropped Columns
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