Articles

Technical Article

Top 10 steps to optimize data access in SQL Server. Part III (Apply advanced indexing and denormalization)

Even after you have applied proper indexing along with re-factoring your TSQLs with best practices, some data access routines might still be there, which would be expensive, in terms of their execution time. There must have been some smart ways to deal with these. Yes there are. SQL server offers you some rich indexing techniques that you might have not used earlier. These could surprise you with the performance benefits they possibly offer. Let us start implementing those advanced indexing techniques:

2010-01-08

5,310 reads

External Article

Application and Multi-Server Management

This paper introduces the new extensions in SQL Server Management Studio and the Control Point Explorer, and it walks through the simple process of setting up a SQL Server managed server group, including SQL Server Control Point installation, enrolling an instance into central management, extracting Data-tier Applications from existing deployments, and deploying Data-tier Applications to the new managed server group.

2010-01-05

2,161 reads

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Question of the Day

Fun with JSON I

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 *
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t;

See possible answers