External Article

SQL Server random numerics data generation using CLR

You need to generate random data directly into SQL Server table columns or close to the database engine as variables or expressions. Looking at the SQL Server available functions, you notice that only RAND function offers support for random data generation. Although RAND([seed]) is a built-in function, it can only return a float value between 0 and 1, and has other limitations in regards to seed values. Because your table columns may be of various data types, and each data type may have a lower value and an upper value, you would prefer to create your custom random data generators. This is when SQL Server CLR functions come into play and provide a viable solution.

Technical Article

Naturally Increasing Data Value with Hierarchical Structures

Hierarchical structures have an inherent ability for significant data value increases beyond the data collected. This will be shown to exist in hierarchical structures and even more powerfully in their natural hierarchical processing capabilities. These will demonstrate flexible and efficient ways to increase data value automatically and will be discussed in this article. SQL will be used to perform a wide range of hierarchical processing operations that easily demonstrate these increasing data value capabilities.

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Using Dynamic SQL in Stored Procedures

Dynamic SQL allows stored procedures to “write” or dynamically generate their SQL statements. The most common use case for dynamic SQL is stored procedures with optional parameters in the WHERE clause. These are typically called from reports or screens that have multiple, optional search criteria. This article describes how to write these types of stored procedures so they execute well and resist SQL injection attacks.

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Question of the Day

Creating a JSON Document III

I have this data in a table called dbo.NFLTeams

TeamID  TeamName       City             YearEstablished
------  --------       ----             ---------------
1       Cowboys        Dallas           1960
2       Eagles         Philadelphia     1933
3       Packers        Green Bay        1919
4       Chiefs         Kansas City      1960
5       49ers          San Francisco    1946
6       Broncos        Denver           1960
7       Seahawks       Seattle          1976
8       Patriots       New England      1960
If I run this code, how many rows are returned?
SELECT TOP 2 
  json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;

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