Triggers Using SQL Server Functions

Apr 12, 2007

Hi,
I am still learning the bells and whistles of SQL Server and was wondering if I can find out the query that caused my trigger to fire, so that I can log this in another audit table.
I have an If Update ( My_Column ) trigger set up, where once an update happens to My_Column much information from the updated row along with , Host_Name and App_Name is sent. I also want to send the exact query used to update it, any ideas?
Any comments, suggestions will be greatly appreciated.
Thanks,
Kartik

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Pro SQLCLR 2005 CLR Stored Procedures, Functions, And Triggers TOC

Aug 15, 2006

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Chapter 1   Introducing SQLCLR
Chapter 2   Building a Procedure
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Chapter 5   Compare & Contrast
Chapter 6   Replacing TSQL Objects
Chapter 7   Using the Base Library
Chapter 8   Using Procedures in Apps
Chapter 9   Error Handling
Chapter 10 Administration
Chapter 11 Case Study

Here is the link:

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Enjoy,

Derek

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Jul 20, 2005

I developed a search stored proc that searches all orsome of Procs, Views, Triggers and functions. Would anyone be interestedto see it posted here?Do you have any suggestions about other places, websites forums ...., toshare something I have developed?Thanks you for your response in advancePLease send me emailJoin Bytes! {Remove ### before responding}

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May 26, 2006

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Thescenarios are as follows:(A) Use a simple CASE function to calculate a column(B) Use a simple CASE function to calculate a column and as a criterionin the WHERE clause(C) Use a scalar UDF to calculate a column(D) Use a scalar UDF to calculate a column and as a criterion in theWHERE clause(E) Use a scalar CLR UDF to calculate a column(F) Use a scalar CLR UDF to calculate a column and as a criterion inthe WHERE clauseA sample of the results is as follows (time in milliseconds):(295310 row(s) affected)A: 1563(150003 row(s) affected)B: 906(295310 row(s) affected)C: 2703(150003 row(s) affected)D: 2533(295310 row(s) affected)E: 2060(150003 row(s) affected)F: 2190The scalar CLR UDF function was significantly faster than the classicscalar UDF, even for this very simple function. Perhaps a more complexfunction would have shown even a greater difference. Based on this, Imust conclude that Erland was right. Of course, it's still faster tostick with basic built-in functions like CASE.In another test, I decided to run some queries to compare built-inaggregates vs. a couple of simple CLR aggregates as follows:(G) Calculate averages by group using the built-in AVG aggregate(H) Calculate averages by group using a CLR aggregate that similatesthe built-in AVG aggregate(I) Calculate a "trimmed" average by group (average excluding highestand lowest values) using built-in aggregates(J) Calculate a "trimmed" average by group using a CLR aggregatespecially designed for this purposeA sample of the results is as follows (time in milliseconds):(59 row(s) affected)G: 313(59 row(s) affected)H: 890(59 row(s) affected)I: 216(59 row(s) affected)J: 846It seems that the CLR aggregates came with a significant performancepenalty over the built-in aggregates. Perhaps they would pay off if Iwere attempting a very complex type of aggregation. 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www.handleysonline.com

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/scripts/order/shippingstatsclose.asp, line 45


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I am sorry to continue bothering this forum with the
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