Wayne Fillis


SQLServerCentral Article

The Effect of NOLOCK on Performance

Using hints in a query is something that most DBAs don't ever seem to bother with, but when they do, NOLOCK seems to be their hint of choice. Wayne Fillis brings us a detailed examination of how this particular hint actually affects the performance of your system.

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2017-02-02 (first published: )

72,428 reads

SQLServerCentral Article

The Dedicated Administrator Connection

New to SQL Server 2005 is the Dedicated Administrator Connection (DAC), which provides a way to ensure you can always connect to your server. No more getting locked out of a busy server as could occur in prior versions. Wayne Fillis brings us a short tutorial on this handy new feature.

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2008-05-05 (first published: )

7,697 reads

SQLServerCentral Article

Conditional Flow in DTS

While SQL Server Integration Services is a huge improvement in the ETL capabilities of SQL Server, there are quite a few environments still using DTS in SQL Server 2000. Wayne Fillis brings us a method for implementing conditional logic in your packages.

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2008-03-19 (first published: )

10,293 reads

SQLServerCentral Article

SQL Prompt IntelliSense for SQL Server

Visual Studio developers have enjoyed the benefits of intellisense for some time, but us SQL Server users have had to work from memory. Wayne Fillis was so enthralled with a new offering from Red Gate he wrote a short review and sent it in. Check out his thoughts and how this product can help you.

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2006-07-18

9,543 reads

SQLServerCentral Article

An Alternative XML Solution

SQL Server 2000 added support for XML documents in a few ways. However the support was a little kludgy as it had not been designed into the product from the beginning, but added on later. New author Wayne Fillis brings us some C++ code and a new way to easily retrieve well formed XML documents from your SQL Server.

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2004-11-10

8,641 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