Indexing a SQL Server database in some respects is considered both an art and a science. Since this is the case, what are some considerations when designing indexes for a new database or an existing one in production? Are these the same types of steps or not? Do any best practices really exist when it comes to indexing? Where does indexing fall in the priority list from an application or production support perspective?
What changes are coming in the editions for SQL Server 2008. Steve Jones finds a rather scary piece of literature.
Understanding the types of tables available in SQL Server can greatly enhance your database development experience.
An article that speaks about some of the issues faced by the Author, during his Data Integration Project using SSIS. Shared with you in this article are the issues he was faced with and the solutions applied.
Steve Jones is recommending that you don't work the most efficient way at your job. Sometimes.
Steve Jones is recommending that you don't work the most efficient way at your job. Sometimes.
Steve Jones is recommending that you don't work the most efficient way at your job. Sometimes.
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Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
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