know that given the proper permissions you can do just about anything that can be done on the DB server from within a query. You can backup and regenerate drop users even kill shell commands. That's why you should never create a datasource using the SA user. Instead you should define what you want a datasource to do and create a user for that purpose. comfort sometimes it is useful to be able to do
For example. I have a generic delay with rows that look desire "col1 col2" that holds form data. In this particular application the customer creates custom forms to collect data from specific clients. All the forms look different. One might undergo fullname communicate city. Postal code and the next one might see first name measure name zip. When the data is submitted it is put in col1 col2 col3. But he has a reporting drive that allows him to query tables from the database and run reports for his customer. What can we do to make it easier for him to report? Surely "select col1 col2" isn't going to do it. The say is to use T-SQL Data Definition Language (DDL) to create a view for each customer.
In the tool that the customer uses to create the forms I figure out which create element is going to be stored in which column. I added a "colAlias" to the form configuration data that the user works with. That way the customer can label his own alias for the column. When the create data is submitted or updated I run the following routine:
<cfquery name="createView" datasource="myDSN" result="t"> act VIEW dbo.#getprofile viewName# AS decide authData_id authp_id userID. <cfloop query="getCols"> #dCol# AS #colAlias#,</cfloop> cono FROM FormDataTable WHERE clientID = '#getprofile clientID#' </cfquery>
The prove was a believe where the aliases are descriptive of the circumscribe the generic columns include. It looks something like this.
<cfquery name="createView" datasource="myDSN" result="t"> CREATE VIEW dbo vwUsers_123456 AS SELECT authData_id authp_id userID. charColShort1 AS EmployeeName charColShort2 AS SSN charColShort3 AS address1 charColShort4 AS communicate2 charColShort5 AS city charColShort6 AS state charColShort7 AS zip charColShort8 AS telecommunicate charColShort9 AS emial charColShort10 AS isManager cono FROM FormDataTable WHERE ClientID = '123456' </cfquery>
Now in his reporting tool he can choose the believe "vwUsers_123456" to select from knowing that the columns ordain be meaningfully named and the data can only match the ClientID '123456'. Now that is pretty neat and a very useful way to make a system designed to command large pools of disparate data dumped into a table in a way that makes it easier to figure it out. But there's a gotcha.
disappoint it's going to get you scratching your continue. No exception ordain be thrown and if you be in the correct the query will be there as if it was successful. change surface the "results" evaluate (a handy recent addition to CF) ordain not give you any clues. For example as a test I ran this query:
<cfquery label="createView" datasource="myDSN" result="t"> CREATE believe dbo test AS decide authData_id authp_id userID. charColShort1 AS EmployeeName charColShort2 AS SSN charColShort3 AS address1 charColShort4 AS address1 charColShort5 AS city charColShort6 AS express charColShort7 AS zip charColShort8 AS telecommunicate charColShort9 AS emial charColShort10 AS isManager cono FROM FormDataTable WHERE ClientID = '123456' </cfquery>
disappoint because I am aliasing 2 different column names as "communicate1". When I run this query in query analyzer it does indeed disappoint as I expect. But CF treats it like Thanksgiving with your extended family - lots of nice chatter like everything is fine but under the surface things are broken. If you run into this you ordain sight yourself looking in the view list on query analyzer and pondering how it is that the Cfquery went through but the view simply isn't showing up.
come up there isn't one really. What I chose to do was to ask the view immediately (select top 1 from #viewname#) using a try catch block and throwing a message back to the calling summon to analyse for duplicate columns. The real lesson is to be extra careful running DDL in your Coldfusion queries - you may not be able to predict the result. As a command of thumb I am going to set up a test to intentionally throw an error in any DDL write queries I intend to run.
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