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sventhanFlag for United States of America

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Insert Statements Load Testing

Experts -

I'm tryng to simulate the user load testing for the following insert statement. The idea is running this in multiple sessions/threads and measuring

the various performance (CPU usage, Transaction per second, IO, etc). This is an interactive application and I'd like to create the load of 5000 or

more users as possbile to simulate the testing. I understand that it depends on the specs on the server computer it runs on of course, but assuming

you buy the best server available for around $10K?
DECLARE @row INT;
DECLARE @string VARCHAR(50), @length INT, @code INT;
SET @row = 0;
WHILE @row < 100000 BEGIN
   SET @row = @row + 1;

   -- Build the random string
   SET @length = ROUND(80*RAND(),0);
   SET @string = '';
   WHILE @length > 0 BEGIN
      SET @length = @length - 1;
      SET @code = ROUND(32*RAND(),0) - 6;
      IF @code BETWEEN 1 AND 26 
         SET @string = @string + CHAR(ASCII('a')+@code-1);
      ELSE
         SET @string = @string + ' ';
      END 


   -- Ready for the record
   SET NOCOUNT ON;
   INSERT INTO [SP].[SMSG].[TMSG VALUES (
     -- @row,
      @string,
      ROUND(2000000*RAND()-1000000,9),
      ROUND(2000000*RAND()-1000000,9),
      GETDATE(),
      CONVERT(DATETIME, ROUND(60000*RAND()-30000,9)),
      null,
      null,
      @string,
      @string,
      null,
      null   )
END

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dwkor
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lundnak

Could you restate your question?  I'm unable to understand what you are looking for from the experts.
Avatar of sventhan

ASKER

Sure.

I Would like to measure the performance metrics during the maximum load of a certain table. To keep it simple just run the same insert stmt again and again (using various threads/users/agents) to the same table till I get 100% CPU usage. What is the maximum capacity the system can handle for just doing a multiple insert to the same table(Daily Partitioned) with clustered index on it?

This is a messaging application and this table is going to grow with the messages. I'm doing the capacity planning.

Thanks,
~sve.

Thanks for the help.