Additional Articles


Technical Article

Data Degradation

The other day at a conference, the subject of data degradation/corrosion arose. The speaker at the conference said that data in a database degraded or corroded over time. The statement was made as if degradation over time applied to all databases. I found this blanket statement to be misguided. Indeed, I think that data does degrade in some databases, but not all.

2009-05-14

2,180 reads

External Article

XML Data Modification Language Workbench

XML Data Modification Language (XML DML) allows you to modify and update XML data. When working with SQL Server Databases, this is the most efficient way to modify elements in an XML column, yet the techniques of using XML-DML have not been well, or simply, described - up until now. Robert Sheldon presents a practical workbench to show the various modify methods

2009-05-14

1,420 reads

Technical Article

Report Design Tips and Tricks

This white paper covers best practices on report design and helps you avoid common mistakes when choosing a report layout and output format. Take advantage of existing product features to achieve the results you want. The paper includes report and code examples that implement functionality that is frequently requested.

2009-05-13

4,606 reads

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Forums

VS Code, Unresolved References.

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Hi all, I just started using VS Code to work with DB projects.  I...

Fun with JSON II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Fun with JSON II

Changing Data Types

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Changing Data Types

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Question of the Day

Fun with JSON II

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