In-Memory

External Article

Overview of In-Memory Technologies of Azure SQL Database

  • Article

Azure SQL Database offers a straightforward approach to controlling its performance through vertical scaling. Despite its simplicity, scaling up has obvious pricing implications and, while it is an online operation, it might result in rollback of in-flight transactions. If you are looking for a supplemental approach to enhancing performance, then you might want to consider implementing in-memory technologies which are part of the Azure SQL Database feature set.

2018-11-13

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Fun with JSON II

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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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