Additional Articles


Technical Article

Database conversion between the most popular DBMSs

Today many companies determine to publish their data on the Internet trying to expand their business and make their information more accessible. The IT industry proposes a wide range of original solutions for resolving data inconsistency problems that publishers inescapably face when exporting their data as they need to properly access, process and interchange large amounts of information mainly through the web.

2008-12-30

2,236 reads

External Article

Finding a better candidate for your clustered indexes

When creating tables it is difficult to determine exactly how the data will be accessed. Therefore when clustered indexes are chosen they are often just the ID column that makes the row unique. This may be a good choice, but once the application has been used and data access statistics are available you may need to go back and make some adjustments to your tables to ensure your clustered indexes are providing a benefit and not a drain on your applications.

2008-12-26

3,880 reads

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Fun with JSON II

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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