Articles

Technical Article

RegexClean Transformation

Use the power of regular expressions to cleanse your data right there inside the Data Flow. This transformation includes a full user interface for simple configuration, as well as advanced features such as error output configuration. Two regular expressions are used, a match expression and a replace expression. The transformation is designed around the named capture groups or match groups, and even supports multiple expressions.

2012-08-03

3,279 reads

External Article

Issues Determining an Individual SQL Server User's Permissions

Recently I was supporting a third party application. It queries to determine what tables it has permissions to before it proceeds with the rest of its functionality. We had implemented permissions based on the best practice of creating roles, assigning the permissions to the roles, and then making the users members of the roles. The application was querying INFORMATION_SCHEMA.TABLE_PRIVILEGES and of course didn't find any permissions directly against the user in question. We ended up granting explicit permissions to the user so the application would work, but I'm more interested in the general case. How can I determine permissions for an individual user?

2012-08-02

3,152 reads

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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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