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I have a web service, so the handler is called multiple times concurrently all the time.

Inside I create SqlConnection and SqlCommand. I have to execute about 7 different commands. Different commands require various parameters, so I just add them once:

command.Parameters.Add(new SqlParameter("@UserID", userID));
command.Parameters.Add(new SqlParameter("@AppID", appID));
command.Parameters.Add(new SqlParameter("@SID", SIDInt));
command.Parameters.Add(new SqlParameter("@Day", timestamp.Date));
command.Parameters.Add(new SqlParameter("@TS", timestamp));

Then during execution I just change CommandText prorerty and then call ExecuteNonQuery(); or ExecuteScalar();

And I face performance issue. For example little debuggin and profiling shows, that command

command.CommandText = "SELECT LastShowTS FROM LogForAllTime WHERE UserID = @UserID";

takes about 50ms in avarage. If I change it to:

command.CommandText = "SELECT LastShowTS FROM LogForAllTime WHERE UserID = '" + userID.Replace("\'", "") + "'";

then it takes only 1ms in avarage!

I just can't get a clue where to investigate the problem.

Scott Boettger
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2 Answers2

16

That sounds like it has cached a query-plan for an atypical @UserID value (one of the early ones), and is reusing a poor plan for later queries. This isn't an issue in the second case since each has a separate plan. I suspect you just need to add:

OPTION (OPTIMIZE FOR UNKNOWN)

to the query, which will make it less keen to re-use plans blindly.


Alternative theory:

You might have a mismatch between the type of userID (in the C#) and the type of UserID (in the database). This could be as simple as unicode vs ANSI, or could be int vs varchar[n], etc. If in doubt, be very specific when configuring the parameter, to add it with the correct sub-type and size.

Clarification

Indeed, it looks like the problem here is the difference between a C# string (unicode) and the database which is varchar(n) (ANSI). The SqlParameter should therefore be explicitly added as such (DbType.AnsiString).

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Marc Gravell
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  • Would that really make a difference for such a simple `WHERE` clause? – SLaks Dec 21 '11 at 13:00
  • @SLaks if the data is uneven, yes; imagine: the first query runs for a sample user with no (or very little) data - the query optimizer uses the statistics and decides on a query plan optimised for small numbers of rows. This then explodes hugely when faced with 200k rows. I've seen similar cases, absolutely. Only way to find out is to try it with and without the hint, though ;p – Marc Gravell Dec 21 '11 at 13:03
  • Well, this is interesting feature I surely will investigate in more detail. Nice link is here http://blogs.msdn.com/b/sqlprogrammability/archive/2008/11/26/optimize-for-unknown-a-little-known-sql-server-2008-feature.aspx So I've tried: SELECT LastShowTS FROM LogForAllTime WHERE UserID = @UserID option (OPTIMIZE FOR (@UserID UNKNOWN)) No effect... – Алексей Медведев Dec 21 '11 at 13:09
  • @Алексей k; what about the second part ("Alternative thoery"), and the comment I added to check some details? – Marc Gravell Dec 21 '11 at 13:11
  • @MarcGravell: would the performance be better if stored procedure is used instead? ie., without using `OPTION (OPTIMIZE FOR UNKNOWN)` – techBeginner Dec 21 '11 at 13:17
  • May be moving to stored procedures will resolve the issue, but for now I want to resolve it within this approach. Point is that in theory and practice this scenario should work quite well. – Алексей Медведев Dec 21 '11 at 13:21
  • @dotNETbeginner no, a sproc will behave identically in this scenario – Marc Gravell Dec 21 '11 at 13:25
  • An excellent explanation of the string versus varchar performance issue can be found here: http://www.codeproject.com/Articles/1039284/Is-SQL-Server-killing-your-application-s-perform : "So, rather than converting our single NVarChar parameter to VarChar, and comparing it against the indexed [...] column, SQL Server is forced to convert the entire VarChar [...] column to NVarChar in order to do the comparison. This results in the expensive Table Scan operation seen in the execution plan, which accounted for 98.59% of the query’s cost." – codetuner Apr 12 '16 at 09:43
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You're sending seven times more data to the server, so it will be slower.

Also, if your userID strings have different lengths, setting an explicit length in the SQL parameter will allow it to reuse the query better.

SLaks
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