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How Filters and Sorting can Derail SQL Pagination Performance

In my previous tip, Pagination Performance in SQL Server, I showed how to make SQL pagination more predictable – turning O(n) into O(1). I materialized and cached row numbers to page through instead of calculating them on every request. It wasn’t the whole story, though; real pagination queries rarely get to sort without filtering. Users always want more control, and filtering can threaten that predictability.

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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