Paul Ibison

Currently work in Aldgate, London for Pygmalion - a Microsoft CTEC - as a Trainer/Developer/Consultant. Specialise in SQL 2000 OLAP and am now beginning to learn Sharepoint Server and .NET
  • Interests: Collecting slide-rules and watching my complete collection of 'Are you being served'.

SQLServerCentral Article

Log Shipping vs. Replication

SQL Server high availability. Log shipping or replication, clustering or some other solution. It's a challenge and as companies grow more dependent on their databases, it's one that more and more DBAs face everyday. Paul Ibison has taken a look at how log shipping and replication can be compared in the quest for high availability.

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2008-06-27 (first published: )

66,395 reads

SQLServerCentral Article

High Availability (DR) Using SQL Server 2005 Transactional Replication

One of the four high availability technologies in SQL Server is replication, though this can be very cumbersome to setup and get working. Longtime author Paul Ibison looks at how this has changed from SQL Server 2000 to 2005 and what you should consider before setting this up.

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2008-04-17

7,790 reads

SQLServerCentral Article

Retain NULL values vs Keep NULLs in SSIS Dataflows - Which To Use?

Integration Services allows you to import all kinds of data easily into SQL Server as well as transform is along the way. Longtime author Paul Ibison brings us a look at how you should set your transformations to deal with NULL values.

(38)

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2008-02-13

14,160 reads

SQLServerCentral Article

Altering a column on a Replicated Table

SQL Server 2000 replication is usually simple and easy to setup and work with. However there are many restrictions to ensure this, one of which is the alteration of a column which is engaged in replication. Author Paul Ibison brings us two options for altering columns.

(15)

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2008-01-14 (first published: )

45,559 reads

SQLServerCentral Article

Merge Replication - Manual Range Handling

SQL Server 2000 replication is a great feature, but it can cause some headaches at times. Since the use of identities is something many people take advantage of, learning to handle these in a replication scenario is critical. Author Paul Ibison has done extensive work with replication and brings us two techniques to help manage the ranges of values.

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2005-01-13

12,798 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