2010-09-10
3,463 reads
Indexing
2010-07-22
3,540 reads
2010-07-08 (first published: 2010-06-17)
1,440 reads
2010-05-21
3,290 reads
Efficient SQL Server Indexing by Design
Having a good set of indexes on your SQL Server database is critical to performance. Efficient indexes don't happen by accident; they are designed to be efficient. Greg Larsen discusses whether primary keys should be clustered, when to use filtered indexes and what to consider when using the Fill Factor.
2010-05-12
6,106 reads
2010-05-06
4,055 reads
Proactive Database Index Creation
Indexes help your application find your data quickly and provide users with a well performing application, while minimizing server resources. This article discusses indexing guidelines related to join tables and covering indexes.
2010-04-13
3,989 reads
SQL Server Column Considerations and Column Placement
Determining which columns to select for your indexes is critical. Having a little knowledge of how your application is using your database columns and how SQL Server processes indexes helps you make good decisions when you create your indexes.
2010-03-29
3,850 reads
2015-02-12 (first published: 2010-03-12)
4,950 reads
2010-03-10
4,315 reads
Blogs
AI: Blog a Day – Day 4: Transformers – Encoder, Decoder, and Attention
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Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
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One of the nice things about Flyway Desktop is that it helps you manage...
What DevOps Look Like in Microsoft Fabric
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Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
Forums
Can an Azure App Service Managed Identity be used for SQL Login?
I'm fairly certain I know the answer to this from digging into it yesterday,...
Azure Synapse database refresh
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
how to write this query?
hi everyone I am not sure how to write the query that will produce...
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