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Designing Databases for Rapid Resilience

As the volume of data increases, DBAs need to plan more actively for rapid restores in the event of failure. For this, the intelligent use of filegroups is important, particularly when the Enterprise Edition of SQL Server offers the hope of online restores. How, though, should you arrange your data on the different filegroups? What happenens if the primary filegroup gets corrupted? Why backup and restore indexes?

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Fun with JSON II

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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;

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