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USE PLAN allows you to capture the XML format of a query s execution plan and then force the query to use it on subsequent executions. In this recipe, I used SET STATISTICS XML ON to capture the query s XML execution plan definition. That definition was then copied into the OPTION clause. The USE PLAN hint requires a Unicode format, so the XML document text was prefixed with an N'. Both USE PLAN and plan guides should be used only as a last resort after you have thoroughly explored other possibilities such as query design, indexing, database design, index fragmentation, and out-of-date statistics. USE PLAN may have short term effectiveness, but as data changes, so too will the needs of the query execution plan. In the end, the odds are that, over time, SQL Server will be better able to dynamically decide on the correct SQL plan than you. Nevertheless, Microsoft provided this option for those advanced troubleshooting cases when SQL Server doesn t choose a query execution plan that s good enough.

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SQL Server 2005 provides four commands that are used to return query and batch execution statistics and information: SET STATISTICS IO, SET STATISTICS TIME, SET STATISTICS PROFILE, and SET STATISTICS XML. Unlike the SHOWPLAN commands, STATISTICS commands return information for queries that have actually executed in SQL Server. The SET STATISTICS IO command is used to return disk activity (hence I/O) generated by the executed statement. The SET STATISTICS TIME command returns the number of milliseconds taken to parse, compile, and execute each statement executed in the batch. SET STATISTICS PROFILE and SET STATISTICS XML are the equivalents of SET SHOWPLAN_ALL and SET SHOWPLAN_XML, only the actual (not estimated) execution plan information is returned along with the actual results of the query. The syntax of each of these commands is similar, with ON enabling the statistics, and OFF disabling them: SET STATISTICS IO { ON | OFF } SET STATISTICS TIME { ON | OFF } SET STATISTICS PROFILE { ON | OFF } SET STATISTICS XML { ON | OFF } In the first example, STATISTICS IO is enabled prior to executing a query that totals the amount due by territory from the Sales.SalesOrderHeader and Sales.SalesTerritory tables:

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@@FETCH_STATUS was used to return the status of the last cursor FETCH statement last issued against the open cursor, returning 0 if the last FETCH was successful, -1 for unsuccessful, or -2 for missing: Within the WHILE statement, the @SPID variable is printed, and used with EXEC to create a dynamic query. -- See what each spID is doing PRINT 'SpID #: ' + STR(@spID) EXEC ('DBCC INPUTBUFFER (' + @spID + ')') The dynamic query executes DBCC INPUTBUFFER for each individual SPID, returning any SQL Statement that the SPID currently has in the buffer. After this, another FETCH NEXT was run to populate the next @SPID value: -- Grab the next row FETCH NEXT FROM spID_cursor INTO @spID END After all SPIDs are retrieved, the WHILE loop exits (because @@FETCH_STATUS will return -1). The cursor was then closed using the CLOSE command: -- Close the cursor CLOSE spID_cursor At this point, the cursor can still be opened with the OPEN command, however to completely remove the cursor from memory, DEALLOCATE was used: -- Deallocate the cursor DEALLOCATE spID_cursor Although useful, cursors should be handled with care as they can consume excessive resources, and often don t perform as well as set-based equivalents. Be sure to explore all set-based alternatives before considering cursors in your Transact-SQL development.

Table 3-1. Intrinsic Functions and Extensions in gfortran (Continued)

stored procedure groups one or more Transact-SQL statements into a logical unit, stored as an object in a SQL Server database. After the stored procedure is created, its definition is stored in the sys.sql_module system catalog view. Unlike user-defined functions or views, when a stored procedure is executed for the first time (since the SQL Server instance was last started), SQL Server determines the most optimal query access plan and stores it in the plan memory cache. SQL Server can then reuse the plan on subsequent executions of this stored procedure. Plan reuse allows stored procedures to provide fast and reliable performance compared to non-compiled ad hoc query equivalents.

To make this example more obvious, Figure 6-30 shows the same operations on the normalized version of the photo.

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