![]() This option is appropriate when you’re using atypical or temporary values and you don’t want to override the execution plan cached in memory. The plan for this procedure will not be cached and the procedure is recompiled when it is run. This option creates a procedure that is used as a stored procedure filter and is executed only during replication. will be dropped simultaneously when the time comes. So, the procedures bill 1, bill 2, bill 3, etc. This also enables you to drop them using only one DROP PROCEDURE statement. By using a number, you can group procedures of the same name together. When creating or editing a procedures, this tab/panel lets you work with the following settings: ![]() Finally, use the Execute button to create the object.Definition panel - for details, see Procedures (SQL Server) - Definition.Properties panel - for details, see Procedures (SQL Server) - Properties.Use the following topics as a guide to setting properties and performing tasks as you pass through the wizard panels:.For details, see Opening an Object Wizard. Open a creation wizard for a procedure. ![]() To create a new procedure using a wizard: Natively compiled stored procedures allow for efficient execution of the queries and business logic in the stored procedure. Rapid SQL also supports natively-compiled stored procedures, which are Transact-SQL stored procedures compiled to native code that access memory-optimized tables. Specify any execution options and you can encrypt the stored procedure text in syscomments.Name the procedure and specify its body.Procedures enhance database security by letting you write procedures granting users execution privileges to tables rather than letting them access tables directly. Procedures streamline code development, debugging, and maintenance by being reusable. Procedures are a reusable block of PL/SQL, stored in the database, that applications can call. Option recompile fixed the problem because a new plan was generated before each run.Go Up to Microsoft SQL Server Object Wizards Meaning the next time this script ran it used the bad query plan with different dates and puked. It was NOT always small after the query was executed again with a different set of parameters. The query plan for the amount of data within those parameter ranges was cached as if the amount of data in those plans was always small. This caused the performance go haywire if the query was run once on a set of dates that returned few records, then immediately after running on a different set of parameters that returned hundreds of thousands of records. The solution - Adding option recompile to the stored procedure of course! Parameter sniffing was the issue because the stored procedure was executing dynamic SQL and embedding parameter date values into the executed statement. I had stumbled across what is known as " parameter sniffing". ![]() The generated query plan differed greatly from what I saw previously in the quick runs. I accidentally ran the procedure once with incorrect parameters and then a second time after putting in the correct parameters was able to duplicate the issue. I had a feeling it had to do with a bad query plan but couldn't figure out why until I was able to luckily reproduce the issue in staging. All of these problems were ruled out as we made sure statistics were up to date, the SQL server load was low, and no maintenance scripts were running yet the problem still occurred. And it was not possible to reproduce in staging with the same data.Įxperimentation - Normally in this situation when the problem could not be reproduced on prod data I would think it's most likely load related, outdated statistics, or even a maintenance script running at the wrong time. In this case the query was only slow sometimes in production. Usually a slow running query could be easily reproduced in testing, which would lead to an eventual fix. The problem - We had a scheduled stored procedure taking a really long time in production. By adding the option recompile statement at the end of a stored procedure you are telling SQL to always recompile the query plan instead of fetching it from the cache. But, this could be terrible for performance if the database objects changed drastically from the previous run.īy default the query plan is fetched from the cache and is only recompiled when the underlying tables change or SQL server is restarted. The efficient query plan can easily be fetched from the cache and won't have to be generated again which is generally good for performance. This is really good if the relative sizes of the objects used in the stored procedure don't change very much from the last time the query plan was generated. When a stored procedure is compiled the generated query plan is optimized for the current state of the database.
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