SQLServerCentral Article

Save Your Password

Storing passwords in SQL Server for authentication by your application is a common practice. But not always a good one. Someone with access could easily see all passwords and perhaps cause mischief inside your application. Imagine the office gossip getting access to your HR application as the HR director! Not a good thing. Dinesh Asanka has written a short piece on how you can use a built in function in SQL Server to encrypt these passwords and use them with a minimum of effort.

SQLServerCentral Article

SQL Server Express

SQL Server Express 2005 is a new product that has been released (in Beta) as a followon to the MSDE product. A number of new features as well as complementary products for all of the .NET development tools are now available. Read on for a quick summary of what this new product line is all about.

SQLServerCentral Article

Backup Scenarios for successful SQL Server Restores and Recovery

SQL Server has a great backup and recovery architecture, but you have to know how to properly configure and use the server to ensure that you will not be seeking new employment anytime soon. A few of the Sonasoft team have written this short piece on strategies for setting up your backup jobs to ensure recovery in the event of a disaster. Welcome new authors Bilal Ahmed, Kiran Kumar, and Vas Srinivasan.

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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