Additional Articles


External Article

Replication Schema Option Across Different Versions of SQL Server

My company uses replication quite extensively across SQL 2000, SQL 2005 and SQL 2008 servers. The problem with using different versions of SQL Server is that the replication options do not always behave the same way. Because of these differences we have stopped using SQL Server Management Studio and Enterprise Manager to setup replication. Also we have taken the time to look at the schema options for replication to make sure the end result is the same for all versions of SQL Server.

2010-10-27

2,218 reads

External Article

State Transition Constraints

Data Validation in a database is a lot more complex than seeing if a string parameter really is an integer. A commercial world is full of complex rules for sequences of procedures, of fixed or variable lifespans, Warranties, commercial offers and bids. All this requires considerable subtlety to prevent bad data getting in, and if it does, locating and fixing the problem. Joe Celko shows how useful a State transition graph can be, and how essential it can become with the time aspect added.

2010-10-27

1,942 reads

Technical Article

Introducing ADO.NET Entity Framework

The challenge of bringing data from efficient storage engines such as SQL Server into object-oriented programming models is hardly a new one. Most developers address this challenge by writing complex data access code to move data between their applications and the database. This requires an understanding of the database so that you can access data either from the raw tables, from views, or from stored procedures.

2010-10-25

3,289 reads

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Fun with JSON II

By Steve Jones - SSC Editor

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Changing Data Types

By Steve Jones - SSC Editor

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Answering Questions On Dropped Columns

By Cláudio Silva

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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