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External Article

Dynamic Data Driven Variable Hierarchical Structures in SQL

This article describes data driven variable structure generation in SQL. The controlling data can be located higher up on the hierarchical pathway or can be located further down on the pathway producing a look-ahead operation. Multiple pathways can independently produce dynamic data driven structures and these dynamic structures can be nested allowing a very flexible and powerful dynamic automatic data structure generation capability. These different controls of structure generation can be combined.

2010-07-27

2,757 reads

External Article

Oracle to SQL Server, Crossing the Great Divide, Part 3

We soon learn, in SQL Server, that heaps are a bad thing, without necessarily understanding how or why. Jonathan Lewis is an Oracle expert who doesn't like to take such strictures for granted, especially when they don't apply to Oracle. Jonathan discovers much about how SQL Server places data, and concludes from his experiments that heaps perform badly in SQL Server because you cannot specify a fill factor for them.

2010-07-23

3,312 reads

External Article

Binary Trees in SQL

A number of hierarchies and networks are most conveniently modelled as binary trees. So what is the best way of representing them in SQL? Joe Celko discards the Nested Set solution in favour of surprisingly efficient solution based on the Binary Heap

2010-07-20

4,764 reads

External Article

Extending Hierarchical Data Modeling Demonstrated in SQL

The capability of extending the limits of combining multiple node hierarchical structures has not been fully explored. Michael M. David presents a solution to advanced structure combining that is simple to use, generic and freely extends the way hierarchical structures can be semantically combined to produce advanced new hierarchical data structure mashups that dynamically increase the value of the data.

2010-07-16

3,196 reads

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Question of the Day

Creating JSON III

In a SQL Server 2025 table, called Beer, I have this data: 

BeerIDBeerName
1Becks
2Fat Tire
3Mac n Jacks
4Alaskan Amber
8Kirin
I run this code: 
SELECT JSON_OBJECTAGG(
    BeerID: BeerName )
FROM beer;
What are the results?

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